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.
Reconciliation handled by a reconciliation engine, with a human signing rather than writing. Aimed at hospitality owner-operators, proving value before anyone signs anything.
Claims & appeals handled by a document parser, with a human signing rather than writing. Aimed at hospitality general managers, starting from data the business already produces.
A vision model that handles field reporting end to end and hands a human the exceptions rather than the queue. Aimed at restaurants owner-operators, taking the phone queue off a human entirely.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes RFP response. Aimed at restaurants general managers, taking the phone queue off a human entirely.
A long-context reviewer that handles document review end to end and hands a human the exceptions rather than the queue. Aimed at restaurants general managers, unbundling the one module people actually use.
A narrow document parser scoped to claims & appeals alone — no platform, no migration, no six-month rollout. Aimed at hospitality owner-operators, unbundling the one module people actually use.
A document parser that sits beside the existing system, reads what it already produces, and closes incident reporting. Aimed at hospitality owner-operators, starting from data the business already produces.
A narrow retrieval engine scoped to grant & funding tracking alone — no platform, no migration, no six-month rollout. Aimed at hospitality general managers, built for one person, not a department.
Contract analysis handled by a long-context reviewer, with a human signing rather than writing. Aimed at hospitality general managers, so the work stops following people home.
A document parser that sits beside the existing system, reads what it already produces, and closes reporting & analytics. Aimed at hospitality ops teams, going after the low-value tail everyone else skips.
Margin monitoring handled by a forecasting model, with a human signing rather than writing. Aimed at hospitality ops teams, surfacing the exposure nobody has priced.
A forecasting model that handles risk assessment end to end and hands a human the exceptions rather than the queue. Aimed at hospitality ops teams, proving value before anyone signs anything.
A narrow retrieval engine scoped to grant & funding tracking alone — no platform, no migration, no six-month rollout. Aimed at hospitality ops teams, so the work stops following people home.
Contract analysis handled by a long-context reviewer, with a human signing rather than writing. Aimed at hospitality ops teams, built for one person, not a department.
A retrieval engine that handles proposal writing end to end and hands a human the exceptions rather than the queue. Aimed at hospitality ops teams, writing down what only one person knows.
A retrieval engine that handles document review end to end and hands a human the exceptions rather than the queue. Aimed at restaurants owner-operators, catching the error before it becomes a change order.
A voice agent that handles inspection end to end and hands a human the exceptions rather than the queue. Aimed at restaurants owner-operators, writing down what only one person knows.
Point a retrieval engine at claims & appeals, and let people review output instead of producing it. Aimed at restaurants owner-operators, going after the low-value tail everyone else skips.
A vision model that sits beside the existing system, reads what it already produces, and closes asset tracking. Aimed at restaurants owner-operators, proving value before anyone signs anything.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes risk assessment. Aimed at restaurants general managers, starting from data the business already produces.
An autonomous agent that sits beside the existing system, reads what it already produces, and closes collections. Aimed at restaurants kitchen teams, finding what the inspector would find, first.
Document review handled by a retrieval engine, with a human signing rather than writing. Aimed at restaurants kitchen teams, writing down what only one person knows.
A long-context reviewer that sits beside the existing system, reads what it already produces, and closes document review. Aimed at restaurants kitchen teams, taking the phone queue off a human entirely.
A narrow optimisation engine scoped to pricing alone — no platform, no migration, no six-month rollout. Aimed at restaurants kitchen teams, going after the low-value tail everyone else skips.