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 an autonomous agent at lead qualification, and let people review output instead of producing it. Aimed at construction estimators, charging only when it actually works.
Point an anomaly detector at demand forecasting, and let people review output instead of producing it. Aimed at construction estimators, taking the phone queue off a human entirely.
An anomaly detector that handles demand forecasting end to end and hands a human the exceptions rather than the queue. Aimed at construction estimators, unbundling the one module people actually use.
Compliance audit handled by a retrieval engine, with a human signing rather than writing. Aimed at construction estimators, holding service constant on a smaller team.
A narrow voice agent scoped to field reporting alone — no platform, no migration, no six-month rollout. Aimed at construction estimators, closing the loop while everyone is asleep.
Point a document parser at field reporting, and let people review output instead of producing it. Aimed at construction estimators, replacing the spreadsheet that currently holds it together.
An autonomous agent that sits beside the existing system, reads what it already produces, and closes customer support. Aimed at construction estimators, charging only when it actually works.
Point a document parser at shift handover, and let people review output instead of producing it. Aimed at construction estimators, so the work stops following people home.
A workflow engine that handles dispatch end to end and hands a human the exceptions rather than the queue. Aimed at architecture principals, catching the error before it becomes a change order.
Inspection handled by a vision model, with a human signing rather than writing. Aimed at architecture principals, built for one person, not a department.
A document parser that sits beside the existing system, reads what it already produces, and closes inspection. Aimed at architecture principals, at a tenth of what the enterprise suite charges.
Asset tracking handled by an anomaly detector, with a human signing rather than writing. Aimed at architecture principals, replacing the spreadsheet that currently holds it together.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes claims & appeals. Aimed at architecture ops teams, going after the low-value tail everyone else skips.
Risk assessment handled by a retrieval engine, with a human signing rather than writing. Aimed at architecture ops teams, starting from data the business already produces.
A narrow retrieval engine scoped to risk assessment alone — no platform, no migration, no six-month rollout. Aimed at real estate brokers, so the work stops following people home.
A retrieval engine that handles risk assessment end to end and hands a human the exceptions rather than the queue. Aimed at real estate brokers, replacing the spreadsheet that currently holds it together.
Payroll verification handled by a document parser, with a human signing rather than writing. Aimed at real estate brokers, replacing the spreadsheet that currently holds it together.
A narrow forecasting model scoped to maintenance planning alone — no platform, no migration, no six-month rollout. Aimed at real estate property managers, so the work stops following people home.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes customer support. Aimed at real estate property managers, surfacing the exposure nobody has priced.
A retrieval engine that handles customer support end to end and hands a human the exceptions rather than the queue. Aimed at real estate property managers, starting from data the business already produces.
A retrieval engine that handles customer support end to end and hands a human the exceptions rather than the queue. Aimed at real estate property managers, writing down what only one person knows.
Point a retrieval engine at contract analysis, and let people review output instead of producing it. Aimed at real estate owner-operators, writing down what only one person knows.
A document parser that sits beside the existing system, reads what it already produces, and closes pricing. Aimed at real estate owner-operators, proving value before anyone signs anything.
Quoting & estimating handled by a workflow engine, with a human signing rather than writing. Aimed at property management property managers, writing down what only one person knows.