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 retrieval engine that sits beside the existing system, reads what it already produces, and closes grant & funding tracking. Aimed at hospitality ops teams, unbundling the one module people actually use.
Point a retrieval engine at contract analysis, and let people review output instead of producing it. Aimed at hospitality ops teams, proving value before anyone signs anything.
A narrow retrieval engine scoped to proposal writing alone — no platform, no migration, no six-month rollout. Aimed at hospitality ops teams, replacing the spreadsheet that currently holds it together.
A narrow retrieval engine scoped to claims & appeals alone — no platform, no migration, no six-month rollout. Aimed at hospitality ops teams, taking the phone queue off a human entirely.
A workflow engine that sits beside the existing system, reads what it already produces, and closes claims & appeals. Aimed at hospitality ops teams, at a tenth of what the enterprise suite charges.
Point an autonomous agent at scheduling, and let people review output instead of producing it. Aimed at restaurants owner-operators, writing down what only one person knows.
A long-context reviewer that sits beside the existing system, reads what it already produces, and closes RFP response. Aimed at restaurants owner-operators, surfacing the exposure nobody has priced.
Point a voice agent at field reporting, and let people review output instead of producing it. Aimed at restaurants owner-operators, writing down what only one person knows.
Risk assessment handled by an anomaly detector, with a human signing rather than writing. Aimed at restaurants owner-operators, proving value before anyone signs anything.
A forecasting model that sits beside the existing system, reads what it already produces, and closes route planning. Aimed at restaurants owner-operators, charging only when it actually works.
An anomaly detector that sits beside the existing system, reads what it already produces, and closes quality control. Aimed at restaurants owner-operators, taking the phone queue off a human entirely.
A document parser that sits beside the existing system, reads what it already produces, and closes onboarding. Aimed at restaurants owner-operators, 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 restaurants general managers, at a tenth of what the enterprise suite charges.
A forecasting model that handles margin monitoring end to end and hands a human the exceptions rather than the queue. Aimed at restaurants general managers, built for one person, not a department.
Point a retrieval engine at risk assessment, and let people review output instead of producing it. Aimed at restaurants general managers, going after the low-value tail everyone else skips.
Point a retrieval engine at claims & appeals, and let people review output instead of producing it. Aimed at restaurants general managers, charging only when it actually works.
A document parser that sits beside the existing system, reads what it already produces, and closes onboarding. Aimed at restaurants general managers, 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 restaurants kitchen teams, so the work stops following people home.
A document parser that handles pricing end to end and hands a human the exceptions rather than the queue. Aimed at restaurants kitchen teams, charging only when it actually works.
Point a workflow engine at shift handover, and let people review output instead of producing it. Aimed at restaurants kitchen teams, going after the low-value tail everyone else skips.
Point a document parser at onboarding, and let people review output instead of producing it. Aimed at retail store managers, proving value before anyone signs anything.
RFP response handled by a retrieval engine, with a human signing rather than writing. Aimed at retail store managers, 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, writing down what only one person knows.
An anomaly detector that sits beside the existing system, reads what it already produces, and closes risk assessment. Aimed at retail store managers, taking the phone queue off a human entirely.