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 RFP response. Aimed at construction estimators, finding what the inspector would find, first.
A narrow retrieval engine scoped to RFP response alone — no platform, no migration, no six-month rollout. Aimed at construction estimators, unbundling the one module people actually use.
A narrow autonomous agent scoped to customer support alone — no platform, no migration, no six-month rollout. Aimed at construction estimators, replacing the spreadsheet that currently holds it together.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes customer support. Aimed at construction estimators, closing the loop while everyone is asleep.
Customer support handled by a classifier, with a human signing rather than writing. Aimed at construction estimators, going after the low-value tail everyone else skips.
A narrow document parser scoped to shift handover alone — no platform, no migration, no six-month rollout. Aimed at construction estimators, replacing the spreadsheet that currently holds it together.
A voice agent that sits beside the existing system, reads what it already produces, and closes intake & triage. Aimed at construction estimators, holding service constant on a smaller team.
An anomaly detector that handles asset tracking end to end and hands a human the exceptions rather than the queue. Aimed at construction estimators, so the work stops following people home.
A vision model that handles asset tracking end to end and hands a human the exceptions rather than the queue. Aimed at construction estimators, closing the loop while everyone is asleep.
Point a workflow engine at renewal management, and let people review output instead of producing it. Aimed at architecture principals, 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 invoicing. Aimed at architecture principals, 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 architecture principals, charging only when it actually works.
A document parser that handles expense review end to end and hands a human the exceptions rather than the queue. Aimed at architecture project architects, surfacing the exposure nobody has priced.
Reconciliation handled by a document parser, with a human signing rather than writing. Aimed at architecture project architects, so the work stops following people home.
Point a retrieval engine at RFP response, and let people review output instead of producing it. Aimed at architecture ops teams, charging only when it actually works.
A forecasting model that sits beside the existing system, reads what it already produces, and closes route planning. Aimed at architecture ops teams, finding what the inspector would find, first.
Point a voice agent at inspection, and let people review output instead of producing it. Aimed at architecture ops teams, so the work stops following people home.
A document parser that handles contract analysis end to end and hands a human the exceptions rather than the queue. Aimed at architecture ops teams, writing down what only one person knows.
A narrow retrieval engine scoped to risk assessment alone — no platform, no migration, no six-month rollout. Aimed at architecture ops teams, starting from data the business already produces.
A voice agent that handles incident reporting end to end and hands a human the exceptions rather than the queue. Aimed at real estate property managers, built for one person, not a department.
Customer support handled by an autonomous agent, with a human signing rather than writing. Aimed at real estate owner-operators, so the work stops following people home.
Point a forecasting model at inventory planning, and let people review output instead of producing it. Aimed at real estate owner-operators, built for one person, not a department.
A document parser that sits beside the existing system, reads what it already produces, and closes quoting & estimating. Aimed at property management property managers, taking the phone queue off a human entirely.
Point an anomaly detector at asset tracking, and let people review output instead of producing it. Aimed at property management property managers, so the work stops following people home.