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 narrow forecasting model scoped to risk assessment alone — no platform, no migration, no six-month rollout. Aimed at mental health clinic admins, replacing the spreadsheet that currently holds it together.
A forecasting model that sits beside the existing system, reads what it already produces, and closes quoting & estimating. Aimed at mental health clinic admins, replacing the spreadsheet that currently holds it together.
Quoting & estimating handled by a forecasting model, with a human signing rather than writing. Aimed at mental health clinic admins, unbundling the one module people actually use.
A document parser that handles field reporting end to end and hands a human the exceptions rather than the queue. Aimed at mental health program directors, finding what the inspector would find, first.
RFP response handled by a retrieval engine, with a human signing rather than writing. Aimed at mental health clinic admins, proving value before anyone signs anything.
A document parser that sits beside the existing system, reads what it already produces, and closes shift handover. Aimed at mental health clinic admins, built for one person, not a department.
An autonomous agent that handles customer support end to end and hands a human the exceptions rather than the queue. Aimed at mental health clinic admins, going after the low-value tail everyone else skips.
A narrow retrieval engine scoped to customer support alone — no platform, no migration, no six-month rollout. Aimed at mental health clinic admins, going after the low-value tail everyone else skips.
Customer support handled by a retrieval engine, with a human signing rather than writing. Aimed at mental health clinic admins, holding service constant on a smaller team.
Quality control handled by a forecasting model, with a human signing rather than writing. Aimed at mental health clinic admins, taking the phone queue off a human entirely.
Point a retrieval engine at compliance audit, and let people review output instead of producing it. Aimed at mental health program directors, going after the low-value tail everyone else skips.
A narrow vision model scoped to compliance audit alone — no platform, no migration, no six-month rollout. Aimed at mental health program directors, catching the error before it becomes a change order.
Point a retrieval engine at training & competency, and let people review output instead of producing it. Aimed at mental health program directors, replacing the spreadsheet that currently holds it together.
Point a retrieval engine at grant & funding tracking, and let people review output instead of producing it. Aimed at mental health program directors, unbundling the one module people actually use.
An anomaly detector that handles permit & licence tracking end to end and hands a human the exceptions rather than the queue. Aimed at mental health program directors, starting from data the business already produces.
A document parser that sits beside the existing system, reads what it already produces, and closes pricing. Aimed at mental health program directors, writing down what only one person knows.
Shift handover handled by a voice agent, with a human signing rather than writing. Aimed at mental health program directors, closing the loop while everyone is asleep.
Quality control handled by a vision model, with a human signing rather than writing. Aimed at mental health program directors, unbundling the one module people actually use.
A forecasting model that sits beside the existing system, reads what it already produces, and closes quality control. Aimed at mental health program directors, proving value before anyone signs anything.
Collections handled by an autonomous agent, with a human signing rather than writing. Aimed at home care agency owners, closing the loop while everyone is asleep.
A document parser that handles incident reporting end to end and hands a human the exceptions rather than the queue. Aimed at home care agency owners, holding service constant on a smaller team.
A long-context reviewer that handles proposal writing end to end and hands a human the exceptions rather than the queue. Aimed at home care agency owners, replacing the spreadsheet that currently holds it together.
Point a long-context reviewer at contract analysis, and let people review output instead of producing it. Aimed at home care agency owners, starting from data the business already produces.
An anomaly detector that sits beside the existing system, reads what it already produces, and closes inventory planning. Aimed at home care agency owners, closing the loop while everyone is asleep.