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 a document parser at document review, and let people review output instead of producing it. Aimed at construction project managers, writing down what only one person knows.
A narrow reconciliation engine scoped to vendor management alone — no platform, no migration, no six-month rollout. Aimed at construction ops teams, closing the loop while everyone is asleep.
A long-context reviewer that sits beside the existing system, reads what it already produces, and closes document review. Aimed at construction ops teams, finding what the inspector would find, first.
A narrow reconciliation engine scoped to margin monitoring alone — no platform, no migration, no six-month rollout. Aimed at construction owner-operators, holding service constant on a smaller team.
Point a forecasting model at margin monitoring, and let people review output instead of producing it. Aimed at construction owner-operators, built for one person, not a department.
Point a document parser at quoting & estimating, and let people review output instead of producing it. Aimed at construction owner-operators, catching the error before it becomes a change order.
A retrieval engine that handles RFP response end to end and hands a human the exceptions rather than the queue. Aimed at construction owner-operators, taking the phone queue off a human entirely.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes customer support. Aimed at construction owner-operators, going after the low-value tail everyone else skips.
A narrow document parser scoped to pricing alone — no platform, no migration, no six-month rollout. Aimed at construction estimators, proving value before anyone signs anything.
Point a retrieval engine at compliance audit, and let people review output instead of producing it. Aimed at construction estimators, proving value before anyone signs anything.
A narrow vision model scoped to compliance audit alone — no platform, no migration, no six-month rollout. Aimed at construction estimators, writing down what only one person knows.
RFP response handled by a retrieval engine, with a human signing rather than writing. Aimed at construction estimators, closing the loop while everyone is asleep.
Training & competency handled by a retrieval engine, with a human signing rather than writing. Aimed at facilities ops teams, catching the error before it becomes a change order.
A narrow document parser scoped to reconciliation alone — no platform, no migration, no six-month rollout. Aimed at logistics fleet owners, closing the loop while everyone is asleep.
A document parser that sits beside the existing system, reads what it already produces, and closes onboarding. Aimed at logistics dispatchers, taking the phone queue off a human entirely.
Pricing handled by a document parser, with a human signing rather than writing. Aimed at logistics dispatchers, holding service constant on a smaller team.
A narrow document parser scoped to expense review alone — no platform, no migration, no six-month rollout. Aimed at logistics dispatchers, at a tenth of what the enterprise suite charges.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes knowledge capture. Aimed at logistics warehouse teams, going after the low-value tail everyone else skips.
A document parser that handles quoting & estimating end to end and hands a human the exceptions rather than the queue. Aimed at logistics warehouse teams, replacing the spreadsheet that currently holds it together.
Point a document parser at compliance audit, and let people review output instead of producing it. Aimed at freight brokerage dispatchers, writing down what only one person knows.
Point a retrieval engine at claims & appeals, and let people review output instead of producing it. Aimed at last-mile delivery ops teams, surfacing the exposure nobody has priced.
Knowledge capture handled by a voice agent, with a human signing rather than writing. Aimed at warehousing ops teams, charging only when it actually works.
A narrow forecasting model scoped to route planning alone — no platform, no migration, no six-month rollout. Aimed at warehousing ops teams, closing the loop while everyone is asleep.
Maintenance planning handled by an optimisation engine, with a human signing rather than writing. Aimed at manufacturing quality teams, taking the phone queue off a human entirely.