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.
Point a vision model at inspection, and let people review output instead of producing it. Aimed at wholesale sales teams, built for one person, not a department.
An anomaly detector that sits beside the existing system, reads what it already produces, and closes risk assessment. Aimed at wholesale ops teams, proving value before anyone signs anything.
A forecasting model that handles quoting & estimating end to end and hands a human the exceptions rather than the queue. Aimed at automotive service managers, replacing the spreadsheet that currently holds it together.
An anomaly detector that sits beside the existing system, reads what it already produces, and closes inventory planning. Aimed at automotive parts managers, starting from data the business already produces.
Asset tracking handled by an anomaly detector, with a human signing rather than writing. Aimed at automotive parts managers, taking the phone queue off a human entirely.
Point an autonomous agent at scheduling, and let people review output instead of producing it. Aimed at auto repair owner-operators, closing the loop while everyone is asleep.
A document parser that handles onboarding end to end and hands a human the exceptions rather than the queue. Aimed at wholesale inventory planners, built for one person, not a department.
A retrieval engine that handles risk assessment end to end and hands a human the exceptions rather than the queue. Aimed at wholesale inventory planners, so the work stops following people home.
An anomaly detector that sits beside the existing system, reads what it already produces, and closes expense review. Aimed at wholesale inventory planners, replacing the spreadsheet that currently holds it together.
A forecasting model that handles site selection end to end and hands a human the exceptions rather than the queue. Aimed at wholesale inventory planners, closing the loop while everyone is asleep.
A narrow retrieval engine scoped to claims & appeals alone — no platform, no migration, no six-month rollout. Aimed at automotive service managers, surfacing the exposure nobody has priced.
Contract analysis handled by a retrieval engine, with a human signing rather than writing. Aimed at automotive service managers, holding service constant on a smaller team.
A narrow retrieval engine scoped to knowledge capture alone — no platform, no migration, no six-month rollout. Aimed at automotive service managers, unbundling the one module people actually use.
Invoicing handled by a workflow engine, with a human signing rather than writing. Aimed at automotive owner-operators, closing the loop while everyone is asleep.
An anomaly detector that sits beside the existing system, reads what it already produces, and closes margin monitoring. Aimed at automotive owner-operators, finding what the inspector would find, first.
A narrow forecasting model scoped to quoting & estimating alone — no platform, no migration, no six-month rollout. Aimed at automotive owner-operators, proving value before anyone signs anything.
A narrow voice agent scoped to inspection alone — no platform, no migration, no six-month rollout. Aimed at automotive owner-operators, going after the low-value tail everyone else skips.
A narrow reconciliation engine scoped to reporting & analytics alone — no platform, no migration, no six-month rollout. Aimed at automotive owner-operators, so the work stops following people home.
Point a document parser at knowledge capture, and let people review output instead of producing it. Aimed at automotive owner-operators, writing down what only one person knows.
Point a retrieval engine at customer support, and let people review output instead of producing it. Aimed at automotive owner-operators, proving value before anyone signs anything.
A document parser that handles expense review end to end and hands a human the exceptions rather than the queue. Aimed at automotive parts managers, going after the low-value tail everyone else skips.
A document parser that handles reconciliation end to end and hands a human the exceptions rather than the queue. Aimed at automotive parts managers, going after the low-value tail everyone else skips.
Point an anomaly detector at payroll verification, and let people review output instead of producing it. Aimed at automotive parts managers, holding service constant on a smaller team.
A retrieval engine that handles knowledge capture end to end and hands a human the exceptions rather than the queue. Aimed at automotive parts managers, writing down what only one person knows.