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.
Claims & appeals handled by a retrieval engine, with a human signing rather than writing. Aimed at architecture ops teams, replacing the spreadsheet that currently holds it together.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes proposal writing. Aimed at property management property managers, finding what the inspector would find, first.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes risk assessment. Aimed at property management property managers, built for one person, not a department.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes knowledge capture. Aimed at facilities maintenance leads, writing down what only one person knows.
Point a document parser at field reporting, and let people review output instead of producing it. Aimed at logistics fleet owners, proving value before anyone signs anything.
Point a document parser at reporting & analytics, and let people review output instead of producing it. Aimed at logistics fleet owners, closing the loop while everyone is asleep.
A narrow document parser scoped to claims & appeals alone — no platform, no migration, no six-month rollout. Aimed at logistics fleet owners, surfacing the exposure nobody has priced.
Point an autonomous agent at collections, and let people review output instead of producing it. Aimed at logistics fleet owners, replacing the spreadsheet that currently holds it together.
Point a retrieval engine at risk assessment, and let people review output instead of producing it. Aimed at logistics fleet owners, writing down what only one person knows.
Point a document parser at reporting & analytics, and let people review output instead of producing it. Aimed at logistics dispatchers, replacing the spreadsheet that currently holds it together.
A document parser that sits beside the existing system, reads what it already produces, and closes incident reporting. Aimed at logistics ops teams, proving value before anyone signs anything.
Collections handled by an autonomous agent, with a human signing rather than writing. Aimed at logistics ops teams, unbundling the one module people actually use.
An autonomous agent that sits beside the existing system, reads what it already produces, and closes collections. Aimed at logistics ops teams, writing down what only one person knows.
Field reporting handled by a document parser, with a human signing rather than writing. Aimed at logistics warehouse teams, built for one person, not a department.
A document parser that sits beside the existing system, reads what it already produces, and closes grant & funding tracking. Aimed at logistics warehouse teams, holding service constant on a smaller team.
Claims & appeals handled by a workflow engine, with a human signing rather than writing. Aimed at logistics warehouse teams, replacing the spreadsheet that currently holds it together.
A document parser that handles shift handover 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.
Collections handled by an autonomous agent, with a human signing rather than writing. Aimed at logistics warehouse teams, proving value before anyone signs anything.
A narrow document parser scoped to quoting & estimating alone — no platform, no migration, no six-month rollout. Aimed at logistics warehouse teams, holding service constant on a smaller team.
A forecasting model that handles quoting & estimating end to end and hands a human the exceptions rather than the queue. Aimed at logistics warehouse teams, going after the low-value tail everyone else skips.
Point a long-context reviewer at proposal writing, and let people review output instead of producing it. Aimed at freight brokerage brokers, replacing the spreadsheet that currently holds it together.
A narrow anomaly detector scoped to inventory planning alone — no platform, no migration, no six-month rollout. Aimed at freight brokerage brokers, built for one person, not a department.
A document parser that sits beside the existing system, reads what it already produces, and closes intake & triage. Aimed at freight brokerage ops teams, surfacing the exposure nobody has priced.
Document review handled by a retrieval engine, with a human signing rather than writing. Aimed at last-mile delivery owner-operators, taking the phone queue off a human entirely.