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.
Knowledge capture handled by a document parser, with a human signing rather than writing. Aimed at property management maintenance leads, writing down what only one person knows.
Point a document parser at intake & triage, and let people review output instead of producing it. Aimed at facilities ops teams, at a tenth of what the enterprise suite charges.
A narrow document parser scoped to invoicing alone — no platform, no migration, no six-month rollout. Aimed at facilities ops teams, built for one person, not a department.
RFP response handled by a retrieval engine, with a human signing rather than writing. Aimed at logistics fleet owners, replacing the spreadsheet that currently holds it together.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes RFP response. Aimed at logistics fleet owners, charging only when it actually works.
A narrow document parser scoped to grant & funding tracking alone — no platform, no migration, no six-month rollout. Aimed at logistics fleet owners, catching the error before it becomes a change order.
A document parser that handles grant & funding tracking end to end and hands a human the exceptions rather than the queue. Aimed at logistics fleet owners, built for one person, not a department.
An autonomous agent that handles onboarding end to end and hands a human the exceptions rather than the queue. Aimed at property management maintenance leads, writing down what only one person knows.
Point a document parser at payroll verification, and let people review output instead of producing it. Aimed at facilities facilities directors, closing the loop while everyone is asleep.
Grant & funding tracking handled by a document parser, with a human signing rather than writing. Aimed at facilities facilities directors, starting from data the business already produces.
Knowledge capture handled by a retrieval engine, with a human signing rather than writing. Aimed at facilities facilities directors, starting from data the business already produces.
Point a retrieval engine at training & competency, and let people review output instead of producing it. Aimed at facilities facilities directors, finding what the inspector would find, first.
Maintenance planning handled by an optimisation engine, with a human signing rather than writing. Aimed at facilities ops teams, writing down what only one person knows.
A document parser that handles claims & appeals end to end and hands a human the exceptions rather than the queue. Aimed at facilities maintenance leads, catching the error before it becomes a change order.
A vision model that sits beside the existing system, reads what it already produces, and closes asset tracking. Aimed at logistics fleet owners, at a tenth of what the enterprise suite charges.
An optimisation engine that sits beside the existing system, reads what it already produces, and closes dispatch. Aimed at logistics fleet owners, built for one person, not a department.
A narrow vision model scoped to quality control alone — no platform, no migration, no six-month rollout. Aimed at logistics fleet owners, going after the low-value tail everyone else skips.
An autonomous agent that handles scheduling end to end and hands a human the exceptions rather than the queue. Aimed at logistics fleet owners, replacing the spreadsheet that currently holds it together.
A narrow autonomous agent scoped to scheduling alone — no platform, no migration, no six-month rollout. Aimed at logistics fleet owners, taking the phone queue off a human entirely.
An anomaly detector that handles vendor management end to end and hands a human the exceptions rather than the queue. Aimed at logistics fleet owners, taking the phone queue off a human entirely.
A narrow retrieval engine scoped to RFP response alone — no platform, no migration, no six-month rollout. Aimed at logistics fleet owners, so the work stops following people home.
RFP response handled by a long-context reviewer, with a human signing rather than writing. Aimed at logistics fleet owners, charging only when it actually works.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes grant & funding tracking. Aimed at logistics fleet owners, built for one person, not a department.
Point a workflow engine at training & competency, and let people review output instead of producing it. Aimed at logistics fleet owners, at a tenth of what the enterprise suite charges.