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.
Intake & triage handled by a document parser, with a human signing rather than writing. Aimed at food production ops teams, proving value before anyone signs anything.
A narrow reconciliation engine scoped to invoicing alone — no platform, no migration, no six-month rollout. Aimed at hospitality general managers, built for one person, not a department.
Point a voice agent at incident reporting, and let people review output instead of producing it. Aimed at hospitality general 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 grant & funding tracking. Aimed at hospitality ops teams, charging only when it actually works.
Point an anomaly detector at payroll verification, and let people review output instead of producing it. Aimed at retail store managers, holding service constant on a smaller team.
Vendor management handled by an anomaly detector, with a human signing rather than writing. Aimed at retail ops teams, charging only when it actually works.
Point a reconciliation engine at invoicing, and let people review output instead of producing it. Aimed at e-commerce ops teams, writing down what only one person knows.
Point a retrieval engine at training & competency, and let people review output instead of producing it. Aimed at hospitality owner-operators, finding what the inspector would find, first.
A forecasting model that handles site selection end to end and hands a human the exceptions rather than the queue. Aimed at hospitality owner-operators, built for one person, not a department.
Risk assessment handled by a retrieval engine, with a human signing rather than writing. Aimed at hospitality general managers, closing the loop while everyone is asleep.
Grant & funding tracking handled by a retrieval engine, with a human signing rather than writing. Aimed at hospitality general managers, unbundling the one module people actually use.
A narrow autonomous agent scoped to scheduling alone — no platform, no migration, no six-month rollout. Aimed at hospitality ops 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 proposal writing. Aimed at hospitality ops teams, so the work stops following people home.
A narrow anomaly detector scoped to reconciliation alone — no platform, no migration, no six-month rollout. Aimed at hospitality ops teams, finding what the inspector would find, first.
A narrow document parser scoped to incident reporting alone — no platform, no migration, no six-month rollout. Aimed at hospitality ops teams, finding what the inspector would find, first.
A vision model that handles quality control end to end and hands a human the exceptions rather than the queue. Aimed at restaurants kitchen teams, surfacing the exposure nobody has priced.
Onboarding handled by an autonomous agent, with a human signing rather than writing. Aimed at retail store managers, writing down what only one person knows.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes contract analysis. Aimed at retail store managers, so the work stops following people home.
Site selection handled by a geospatial model, with a human signing rather than writing. Aimed at retail store managers, surfacing the exposure nobody has priced.
Document review handled by a long-context reviewer, with a human signing rather than writing. Aimed at retail owner-operators, finding what the inspector would find, first.
Point a retrieval engine at RFP response, and let people review output instead of producing it. Aimed at retail merchandisers, proving value before anyone signs anything.
A narrow retrieval engine scoped to risk assessment alone — no platform, no migration, no six-month rollout. Aimed at retail merchandisers, finding what the inspector would find, first.
An anomaly detector that handles vendor management end to end and hands a human the exceptions rather than the queue. Aimed at retail ops teams, catching the error before it becomes a change order.
Contract analysis handled by a retrieval engine, with a human signing rather than writing. Aimed at e-commerce ops teams, charging only when it actually works.