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 logistics ops teams, catching the error before it becomes a change order.
Point a forecasting model at training & competency, and let people review output instead of producing it. Aimed at logistics ops teams, writing down what only one person knows.
Warranty & returns handled by a workflow engine, with a human signing rather than writing. Aimed at logistics ops teams, replacing the spreadsheet that currently holds it together.
Route planning 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.
A vision model that handles field reporting end to end and hands a human the exceptions rather than the queue. Aimed at logistics warehouse teams, built for one person, not a department.
A document parser that handles reporting & analytics end to end and hands a human the exceptions rather than the queue. Aimed at logistics warehouse teams, closing the loop while everyone is asleep.
A forecasting model that sits beside the existing system, reads what it already produces, and closes training & competency. Aimed at logistics ops teams, closing the loop while everyone is asleep.
Incident reporting handled by a workflow engine, with a human signing rather than writing. Aimed at logistics ops teams, starting from data the business already produces.
Collections handled by a forecasting model, with a human signing rather than writing. Aimed at logistics ops teams, catching the error before it becomes a change order.
A narrow forecasting model scoped to risk assessment alone — no platform, no migration, no six-month rollout. Aimed at logistics ops teams, surfacing the exposure nobody has priced.
Point a retrieval engine at risk assessment, and let people review output instead of producing it. Aimed at logistics ops teams, holding service constant on a smaller team.
A narrow anomaly detector scoped to expense review alone — no platform, no migration, no six-month rollout. Aimed at logistics ops teams, closing the loop while everyone is asleep.
A narrow vision model scoped to asset tracking alone — no platform, no migration, no six-month rollout. Aimed at logistics warehouse teams, catching the error before it becomes a change order.
Asset tracking handled by a vision model, with a human signing rather than writing. Aimed at logistics warehouse teams, closing the loop while everyone is asleep.
An anomaly detector that sits beside the existing system, reads what it already produces, and closes maintenance planning. Aimed at logistics warehouse teams, built for one person, not a department.
Point an optimisation engine at maintenance planning, and let people review output instead of producing it. Aimed at logistics warehouse teams, charging only when it actually works.
An autonomous agent that sits beside the existing system, reads what it already produces, and closes onboarding. Aimed at logistics warehouse teams, starting from data the business already produces.
A narrow optimisation engine scoped to dispatch alone — no platform, no migration, no six-month rollout. Aimed at logistics warehouse teams, starting from data the business already produces.
A narrow forecasting model scoped to dispatch alone — no platform, no migration, no six-month rollout. Aimed at logistics warehouse teams, starting from data the business already produces.
A narrow vision model scoped to field reporting alone — no platform, no migration, no six-month rollout. Aimed at logistics warehouse teams, built for one person, not a department.
An optimisation engine that sits beside the existing system, reads what it already produces, and closes inventory planning. Aimed at logistics warehouse teams, closing the loop while everyone is asleep.
An anomaly detector that handles inventory planning end to end and hands a human the exceptions rather than the queue. Aimed at logistics warehouse teams, surfacing the exposure nobody has priced.
Inventory planning handled by an anomaly detector, with a human signing rather than writing. Aimed at logistics warehouse teams, surfacing the exposure nobody has priced.
Reporting & analytics handled by a forecasting model, with a human signing rather than writing. Aimed at logistics warehouse teams, writing down what only one person knows.