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 incident reporting, and let people review output instead of producing it. Aimed at healthcare department heads, catching the error before it becomes a change order.
Training & competency handled by a workflow engine, with a human signing rather than writing. Aimed at healthcare department heads, at a tenth of what the enterprise suite charges.
A narrow document parser scoped to intake & triage alone — no platform, no migration, no six-month rollout. Aimed at healthcare department heads, 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 intake & triage. Aimed at healthcare department heads, so the work stops following people home.
Intake & triage handled by a classifier, with a human signing rather than writing. Aimed at healthcare department heads, replacing the spreadsheet that currently holds it together.
Point an anomaly detector at risk assessment, and let people review output instead of producing it. Aimed at healthcare department heads, surfacing the exposure nobody has priced.
A reconciliation engine that handles margin monitoring end to end and hands a human the exceptions rather than the queue. Aimed at healthcare department heads, starting from data the business already produces.
Onboarding handled by a document parser, with a human signing rather than writing. Aimed at healthcare department heads, catching the error before it becomes a change order.
A document parser that sits beside the existing system, reads what it already produces, and closes reconciliation. Aimed at healthcare department heads, replacing the spreadsheet that currently holds it together.
A document parser that handles reconciliation end to end and hands a human the exceptions rather than the queue. Aimed at healthcare department heads, going after the low-value tail everyone else skips.
A classifier that handles customer support end to end and hands a human the exceptions rather than the queue. Aimed at healthcare department heads, closing the loop while everyone is asleep.
A narrow workflow engine scoped to quoting & estimating alone — no platform, no migration, no six-month rollout. Aimed at healthcare department heads, starting from data the business already produces.
Point an optimisation engine at inventory planning, and let people review output instead of producing it. Aimed at healthcare department heads, surfacing the exposure nobody has priced.
An anomaly detector that handles inventory planning end to end and hands a human the exceptions rather than the queue. Aimed at healthcare department heads, writing down what only one person knows.
An anomaly detector that sits beside the existing system, reads what it already produces, and closes maintenance planning. Aimed at healthcare department heads, surfacing the exposure nobody has priced.
Point a voice agent at inspection, and let people review output instead of producing it. Aimed at healthcare department heads, built for one person, not a department.
A narrow retrieval engine scoped to grant & funding tracking alone — no platform, no migration, no six-month rollout. Aimed at healthcare department heads, writing down what only one person knows.
A narrow autonomous agent scoped to scheduling alone — no platform, no migration, no six-month rollout. Aimed at dental practice owners, built for one person, not a department.
A document parser that sits beside the existing system, reads what it already produces, and closes RFP response. Aimed at dental practice owners, catching the error before it becomes a change order.
A narrow long-context reviewer scoped to proposal writing alone — no platform, no migration, no six-month rollout. Aimed at dental practice owners, charging only when it actually works.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes document review. Aimed at dental practice owners, 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 dental practice owners, closing the loop while everyone is asleep.
A retrieval engine that handles customer support end to end and hands a human the exceptions rather than the queue. Aimed at dental practice owners, taking the phone queue off a human entirely.
Renewal management handled by a forecasting model, with a human signing rather than writing. Aimed at dental practice owners, going after the low-value tail everyone else skips.