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.
Vendor management handled by an anomaly detector, with a human signing rather than writing. Aimed at childcare owner-operators, replacing the spreadsheet that currently holds it together.
An autonomous agent that handles scheduling end to end and hands a human the exceptions rather than the queue. Aimed at childcare program directors, writing down what only one person knows.
Point a forecasting model at scheduling, and let people review output instead of producing it. Aimed at childcare program directors, taking the phone queue off a human entirely.
A narrow retrieval engine scoped to claims & appeals alone — no platform, no migration, no six-month rollout. Aimed at childcare program directors, so the work stops following people home.
A narrow retrieval engine scoped to contract analysis alone — no platform, no migration, no six-month rollout. Aimed at childcare program directors, surfacing the exposure nobody has priced.
Point a workflow engine at quoting & estimating, and let people review output instead of producing it. Aimed at childcare office managers, charging only when it actually works.
Compliance audit handled by a document parser, with a human signing rather than writing. Aimed at childcare office managers, at a tenth of what the enterprise suite charges.
A retrieval engine that handles proposal writing end to end and hands a human the exceptions rather than the queue. Aimed at childcare office managers, finding what the inspector would find, first.
Point a document parser at knowledge capture, and let people review output instead of producing it. Aimed at childcare office managers, replacing the spreadsheet that currently holds it together.
An anomaly detector that sits beside the existing system, reads what it already produces, and closes vendor management. Aimed at childcare office managers, charging only when it actually works.
Point a retrieval engine at document review, and let people review output instead of producing it. Aimed at nonprofits program directors, finding what the inspector would find, first.
Point a long-context reviewer at RFP response, and let people review output instead of producing it. Aimed at government program directors, surfacing the exposure nobody has priced.
Margin monitoring handled by a reconciliation engine, with a human signing rather than writing. Aimed at government program directors, catching the error before it becomes a change order.
A retrieval engine that handles training & competency end to end and hands a human the exceptions rather than the queue. Aimed at government compliance leads, catching the error before it becomes a change order.
Compliance audit handled by a retrieval engine, with a human signing rather than writing. Aimed at government ops teams, unbundling the one module people actually use.
A vision model that sits beside the existing system, reads what it already produces, and closes asset tracking. Aimed at government ops teams, going after the low-value tail everyone else skips.
A classifier that sits beside the existing system, reads what it already produces, and closes warranty & returns. Aimed at government ops teams, holding service constant on a smaller team.
A narrow forecasting model scoped to training & competency alone — no platform, no migration, no six-month rollout. Aimed at public safety department heads, built for one person, not a department.
A narrow reconciliation engine scoped to vendor management alone — no platform, no migration, no six-month rollout. Aimed at public safety department heads, proving value before anyone signs anything.
A narrow retrieval engine scoped to compliance audit alone — no platform, no migration, no six-month rollout. Aimed at public safety department heads, charging only when it actually works.
A document parser that sits beside the existing system, reads what it already produces, and closes document review. Aimed at public safety department heads, charging only when it actually works.
A document parser that sits beside the existing system, reads what it already produces, and closes document review. Aimed at public safety department heads, surfacing the exposure nobody has priced.
A vision model that handles quality control end to end and hands a human the exceptions rather than the queue. Aimed at public safety department heads, catching the error before it becomes a change order.
An autonomous agent that sits beside the existing system, reads what it already produces, and closes customer support. Aimed at public safety department heads, so the work stops following people home.