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.
Inspection handled by a vision model, with a human signing rather than writing. Aimed at architecture project architects, taking the phone queue off a human entirely.
Point an anomaly detector at inventory planning, and let people review output instead of producing it. Aimed at architecture project architects, taking the phone queue off a human entirely.
Point a retrieval engine at customer support, and let people review output instead of producing it. Aimed at real estate brokers, surfacing the exposure nobody has priced.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes customer support. Aimed at real estate brokers, proving value before anyone signs anything.
A document parser that handles intake & triage 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.
A document parser that sits beside the existing system, reads what it already produces, and closes quoting & estimating. Aimed at real estate property managers, holding service constant on a smaller team.
A narrow document parser scoped to intake & triage alone — no platform, no migration, no six-month rollout. Aimed at real estate property managers, holding service constant on a smaller team.
Inspection handled by a voice agent, with a human signing rather than writing. Aimed at architecture project architects, taking the phone queue off a human entirely.
A reconciliation engine that handles invoicing end to end and hands a human the exceptions rather than the queue. Aimed at architecture project architects, replacing the spreadsheet that currently holds it together.
Intake & triage handled by a classifier, with a human signing rather than writing. Aimed at architecture project architects, going after the low-value tail everyone else skips.
Reporting & analytics handled by a document parser, with a human signing rather than writing. Aimed at architecture ops teams, surfacing the exposure nobody has priced.
Point an optimisation engine at maintenance planning, and let people review output instead of producing it. Aimed at architecture ops teams, taking the phone queue off a human entirely.
A vision model that sits beside the existing system, reads what it already produces, and closes compliance audit. Aimed at architecture ops teams, at a tenth of what the enterprise suite charges.
A narrow document parser scoped to payroll verification alone — no platform, no migration, no six-month rollout. Aimed at architecture ops teams, proving value before anyone signs anything.
An autonomous agent that sits beside the existing system, reads what it already produces, and closes scheduling. Aimed at architecture ops teams, going after the low-value tail everyone else skips.
Maintenance planning handled by an anomaly detector, with a human signing rather than writing. Aimed at real estate brokers, catching the error before it becomes a change order.
A narrow forecasting model scoped to quoting & estimating alone — no platform, no migration, no six-month rollout. Aimed at real estate property managers, finding what the inspector would find, first.
Point a retrieval engine at risk assessment, and let people review output instead of producing it. Aimed at real estate property managers, starting from data the business already produces.
Intake & triage handled by a voice agent, with a human signing rather than writing. Aimed at real estate property managers, going after the low-value tail everyone else skips.
A document parser that sits beside the existing system, reads what it already produces, and closes incident reporting. Aimed at real estate property managers, replacing the spreadsheet that currently holds it together.
Point an autonomous agent at collections, and let people review output instead of producing it. Aimed at real estate owner-operators, surfacing the exposure nobody has priced.
Point a retrieval engine at risk assessment, and let people review output instead of producing it. Aimed at real estate owner-operators, unbundling the one module people actually use.
A narrow long-context reviewer scoped to RFP response alone — no platform, no migration, no six-month rollout. Aimed at real estate owner-operators, starting from data the business already produces.
A narrow long-context reviewer scoped to RFP response alone — no platform, no migration, no six-month rollout. Aimed at real estate owner-operators, catching the error before it becomes a change order.