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.
Pricing handled by a document parser, with a human signing rather than writing. Aimed at logistics ops teams, surfacing the exposure nobody has priced.
A narrow voice agent scoped to knowledge capture alone — no platform, no migration, no six-month rollout. Aimed at logistics warehouse teams, finding what the inspector would find, first.
A narrow workflow engine scoped to claims & appeals alone — no platform, no migration, no six-month rollout. Aimed at logistics warehouse teams, so the work stops following people home.
A narrow forecasting model scoped to quoting & estimating alone — no platform, no migration, no six-month rollout. Aimed at logistics warehouse teams, at a tenth of what the enterprise suite charges.
Point a workflow engine at renewal management, and let people review output instead of producing it. Aimed at freight brokerage brokers, going after the low-value tail everyone else skips.
Collections handled by an autonomous agent, with a human signing rather than writing. Aimed at logistics ops teams, surfacing the exposure nobody has priced.
An autonomous agent that sits beside the existing system, reads what it already produces, and closes collections. Aimed at logistics ops teams, built for one person, not a department.
Point a forecasting model at route planning, and let people review output instead of producing it. Aimed at logistics warehouse teams, writing down what only one person knows.
A vision model that sits beside the existing system, reads what it already produces, and closes asset tracking. Aimed at logistics warehouse teams, writing down what only one person knows.
A document parser that sits beside the existing system, reads what it already produces, and closes onboarding. Aimed at logistics warehouse teams, finding what the inspector would find, first.
An optimisation engine that sits beside the existing system, reads what it already produces, and closes dispatch. Aimed at logistics warehouse teams, starting from data the business already produces.
Reporting & analytics handled by a forecasting model, with a human signing rather than writing. Aimed at logistics warehouse teams, catching the error before it becomes a change order.
An optimisation engine that sits beside the existing system, reads what it already produces, and closes scheduling. Aimed at logistics warehouse teams, finding what the inspector would find, first.
A workflow engine that sits beside the existing system, reads what it already produces, and closes renewal management. Aimed at logistics warehouse teams, starting from data the business already produces.
Vendor management handled by an anomaly detector, with a human signing rather than writing. Aimed at logistics warehouse teams, closing the loop while everyone is asleep.
A document parser that handles reconciliation end to end and hands a human the exceptions rather than the queue. Aimed at logistics warehouse teams, so the work stops following people home.
A document parser that handles reconciliation end to end and hands a human the exceptions rather than the queue. Aimed at logistics warehouse teams, proving value before anyone signs anything.
Point a long-context reviewer at RFP response, and let people review output instead of producing it. Aimed at logistics warehouse teams, at a tenth of what the enterprise suite charges.
Point a document parser at grant & funding tracking, and let people review output instead of producing it. Aimed at logistics warehouse teams, so the work stops following people home.
A narrow voice agent scoped to shift handover alone — no platform, no migration, no six-month rollout. Aimed at logistics warehouse teams, charging only when it actually works.
A workflow engine that handles incident reporting end to end and hands a human the exceptions rather than the queue. Aimed at logistics warehouse teams, holding service constant on a smaller team.
Point a document parser at warranty & returns, and let people review output instead of producing it. Aimed at logistics warehouse teams, so the work stops following people home.
A vision model that sits beside the existing system, reads what it already produces, and closes field reporting. Aimed at freight brokerage brokers, taking the phone queue off a human entirely.
Point a retrieval engine at proposal writing, and let people review output instead of producing it. Aimed at freight brokerage brokers, proving value before anyone signs anything.