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 RFP response, and let people review output instead of producing it. Aimed at trade schools registrars, replacing the spreadsheet that currently holds it together.
A document parser that handles expense review end to end and hands a human the exceptions rather than the queue. Aimed at trade schools registrars, built for one person, not a department.
A forecasting model that handles reporting & analytics end to end and hands a human the exceptions rather than the queue. Aimed at childcare owner-operators, going after the low-value tail everyone else skips.
Incident reporting handled by a document parser, with a human signing rather than writing. Aimed at childcare owner-operators, at a tenth of what the enterprise suite charges.
A geospatial model that handles site selection end to end and hands a human the exceptions rather than the queue. Aimed at childcare owner-operators, replacing the spreadsheet that currently holds it together.
A narrow long-context reviewer scoped to proposal writing alone — no platform, no migration, no six-month rollout. Aimed at childcare owner-operators, taking the phone queue off a human entirely.
A narrow document parser scoped to claims & appeals alone — no platform, no migration, no six-month rollout. Aimed at childcare owner-operators, surfacing the exposure nobody has priced.
Point a workflow engine at claims & appeals, and let people review output instead of producing it. Aimed at childcare owner-operators, 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 childcare program directors, charging only when it actually works.
Point a long-context reviewer at RFP response, and let people review output instead of producing it. Aimed at childcare program directors, built for one person, not a department.
Point a document parser at intake & triage, and let people review output instead of producing it. Aimed at childcare office managers, built for one person, not a department.
Scheduling handled by a forecasting model, with a human signing rather than writing. Aimed at childcare office managers, finding what the inspector would find, first.
A long-context reviewer that sits beside the existing system, reads what it already produces, and closes proposal writing. Aimed at childcare office managers, closing the loop while everyone is asleep.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes claims & appeals. Aimed at childcare office managers, starting from data the business already produces.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes contract analysis. Aimed at childcare office managers, holding service constant on a smaller team.
A narrow document parser scoped to RFP response alone — no platform, no migration, no six-month rollout. Aimed at childcare office managers, closing the loop while everyone is asleep.
A narrow anomaly detector scoped to demand forecasting alone — no platform, no migration, no six-month rollout. Aimed at childcare office managers, writing down what only one person knows.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes grant & funding tracking. Aimed at nonprofits development leads, starting from data the business already produces.
Field reporting handled by a voice agent, with a human signing rather than writing. Aimed at nonprofits development leads, replacing the spreadsheet that currently holds it together.
A forecasting model that handles margin monitoring end to end and hands a human the exceptions rather than the queue. Aimed at nonprofits development leads, replacing the spreadsheet that currently holds it together.
A voice agent that handles field reporting end to end and hands a human the exceptions rather than the queue. Aimed at nonprofits ops teams, going after the low-value tail everyone else skips.
Point a vision model at inspection, and let people review output instead of producing it. Aimed at nonprofits ops teams, holding service constant on a smaller team.
A document parser that sits beside the existing system, reads what it already produces, and closes reconciliation. Aimed at government program directors, finding what the inspector would find, first.
A narrow reconciliation engine scoped to vendor management alone — no platform, no migration, no six-month rollout. Aimed at government compliance leads, writing down what only one person knows.