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 risk assessment. Aimed at freight brokerage dispatchers, charging only when it actually works.
A document parser that handles grant & funding tracking end to end and hands a human the exceptions rather than the queue. Aimed at freight brokerage dispatchers, starting from data the business already produces.
Point a vision model at quality control, and let people review output instead of producing it. Aimed at last-mile delivery ops teams, closing the loop while everyone is asleep.
Point a classifier at warranty & returns, and let people review output instead of producing it. Aimed at last-mile delivery ops teams, so the work stops following people home.
A retrieval engine that handles proposal writing end to end and hands a human the exceptions rather than the queue. Aimed at last-mile delivery owner-operators, at a tenth of what the enterprise suite charges.
A narrow retrieval engine scoped to compliance audit alone — no platform, no migration, no six-month rollout. Aimed at warehousing warehouse teams, so the work stops following people home.
Shift handover handled by a document parser, with a human signing rather than writing. Aimed at warehousing warehouse teams, replacing the spreadsheet that currently holds it together.
Point a document parser at field reporting, and let people review output instead of producing it. Aimed at warehousing warehouse teams, replacing the spreadsheet that currently holds it together.
Reconciliation handled by a document parser, with a human signing rather than writing. Aimed at warehousing ops teams, replacing the spreadsheet that currently holds it together.
Point a document parser at warranty & returns, and let people review output instead of producing it. Aimed at warehousing ops teams, proving value before anyone signs anything.
A long-context reviewer that sits beside the existing system, reads what it already produces, and closes contract analysis. Aimed at warehousing ops teams, surfacing the exposure nobody has priced.
A retrieval engine that handles compliance audit end to end and hands a human the exceptions rather than the queue. Aimed at warehousing ops teams, charging only when it actually works.
A vision model that sits beside the existing system, reads what it already produces, and closes compliance audit. Aimed at warehousing ops teams, writing down what only one person knows.
A vision model that sits beside the existing system, reads what it already produces, and closes quality control. Aimed at warehousing inventory planners, replacing the spreadsheet that currently holds it together.
Point a document parser at claims & appeals, and let people review output instead of producing it. Aimed at warehousing inventory planners, built for one person, not a department.
A document parser that handles warranty & returns end to end and hands a human the exceptions rather than the queue. Aimed at aviation maintenance leads, writing down what only one person knows.
A narrow forecasting model scoped to maintenance planning alone — no platform, no migration, no six-month rollout. Aimed at manufacturing plant supervisors, at a tenth of what the enterprise suite charges.
A retrieval engine that handles grant & funding tracking end to end and hands a human the exceptions rather than the queue. Aimed at manufacturing plant supervisors, closing the loop while everyone is asleep.
Point a voice agent at field reporting, and let people review output instead of producing it. Aimed at manufacturing plant supervisors, writing down what only one person knows.
A narrow document parser scoped to contract analysis alone — no platform, no migration, no six-month rollout. Aimed at manufacturing plant supervisors, finding what the inspector would find, first.
Point a document parser at contract analysis, and let people review output instead of producing it. Aimed at manufacturing plant supervisors, built for one person, not a department.
A narrow document parser scoped to reconciliation alone — no platform, no migration, no six-month rollout. Aimed at manufacturing plant supervisors, so the work stops following people home.
Point a document parser at reconciliation, and let people review output instead of producing it. Aimed at manufacturing plant supervisors, closing the loop while everyone is asleep.
Invoicing handled by a reconciliation engine, with a human signing rather than writing. Aimed at manufacturing plant supervisors, going after the low-value tail everyone else skips.