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 narrow forecasting model scoped to quality control alone — no platform, no migration, no six-month rollout. Aimed at logistics fleet owners, so the work stops following people home.
Point a workflow engine at vendor management, and let people review output instead of producing it. Aimed at logistics fleet owners, starting from data the business already produces.
Point a document parser at reconciliation, and let people review output instead of producing it. Aimed at logistics fleet owners, charging only when it actually works.
Point a document parser at grant & funding tracking, and let people review output instead of producing it. Aimed at logistics fleet owners, finding what the inspector would find, first.
A document parser that handles grant & funding tracking end to end and hands a human the exceptions rather than the queue. Aimed at logistics fleet owners, proving value before anyone signs anything.
A retrieval engine that handles training & competency end to end and hands a human the exceptions rather than the queue. Aimed at logistics fleet owners, finding what the inspector would find, first.
A narrow retrieval engine scoped to training & competency alone — no platform, no migration, no six-month rollout. Aimed at logistics fleet owners, unbundling the one module people actually use.
A narrow forecasting model scoped to pricing alone — no platform, no migration, no six-month rollout. Aimed at logistics fleet owners, taking the phone queue off a human entirely.
An autonomous agent that handles collections end to end and hands a human the exceptions rather than the queue. Aimed at logistics fleet owners, writing down what only one person knows.
A workflow engine that handles quoting & estimating end to end and hands a human the exceptions rather than the queue. Aimed at logistics fleet owners, finding what the inspector would find, first.
A forecasting model that handles risk assessment end to end and hands a human the exceptions rather than the queue. Aimed at logistics fleet owners, unbundling the one module people actually use.
Point an anomaly detector at asset tracking, and let people review output instead of producing it. Aimed at logistics dispatchers, going after the low-value tail everyone else skips.
Asset tracking handled by a vision model, with a human signing rather than writing. Aimed at logistics dispatchers, closing the loop while everyone is asleep.
Point a vision model at asset tracking, and let people review output instead of producing it. Aimed at logistics dispatchers, replacing the spreadsheet that currently holds it together.
Point an optimisation engine at maintenance planning, and let people review output instead of producing it. Aimed at logistics dispatchers, 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 logistics dispatchers, holding service constant on a smaller team.
A forecasting model that handles dispatch end to end and hands a human the exceptions rather than the queue. Aimed at logistics dispatchers, writing down what only one person knows.
Inventory planning handled by a forecasting model, with a human signing rather than writing. Aimed at logistics dispatchers, at a tenth of what the enterprise suite charges.
Inventory planning handled by an anomaly detector, with a human signing rather than writing. Aimed at logistics dispatchers, charging only when it actually works.
A narrow document parser scoped to reporting & analytics alone — no platform, no migration, no six-month rollout. Aimed at logistics dispatchers, unbundling the one module people actually use.
A document parser that sits beside the existing system, reads what it already produces, and closes reporting & analytics. Aimed at logistics dispatchers, unbundling the one module people actually use.
Point a vision model at quality control, and let people review output instead of producing it. Aimed at logistics dispatchers, proving value before anyone signs anything.
A forecasting model that sits beside the existing system, reads what it already produces, and closes quality control. Aimed at logistics dispatchers, finding what the inspector would find, first.
An autonomous agent that handles scheduling end to end and hands a human the exceptions rather than the queue. Aimed at logistics dispatchers, proving value before anyone signs anything.