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 retrieval engine that sits beside the existing system, reads what it already produces, and closes contract analysis. Aimed at recruiting agency owners, holding service constant on a smaller team.
A retrieval engine that handles contract analysis end to end and hands a human the exceptions rather than the queue. Aimed at recruiting agency owners, holding service constant on a smaller team.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes knowledge capture. Aimed at recruiting agency owners, replacing the spreadsheet that currently holds it together.
Point a retrieval engine at training & competency, and let people review output instead of producing it. Aimed at recruiting agency owners, proving value before anyone signs anything.
Proposal writing handled by a retrieval engine, with a human signing rather than writing. Aimed at recruiting recruiters, built for one person, not a department.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes contract analysis. Aimed at recruiting recruiters, charging only when it actually works.
Point a reconciliation engine at invoicing, and let people review output instead of producing it. Aimed at recruiting ops teams, closing the loop while everyone is asleep.
A forecasting model that sits beside the existing system, reads what it already produces, and closes scheduling. Aimed at recruiting ops teams, surfacing the exposure nobody has priced.
Point a document parser at payroll verification, and let people review output instead of producing it. Aimed at recruiting ops teams, closing the loop while everyone is asleep.
A narrow forecasting model scoped to renewal management alone — no platform, no migration, no six-month rollout. Aimed at staffing agency owners, writing down what only one person knows.
Lead qualification handled by a forecasting model, with a human signing rather than writing. Aimed at staffing schedulers, charging only when it actually works.
A narrow reconciliation engine scoped to vendor management alone — no platform, no migration, no six-month rollout. Aimed at recruiting recruiters, closing the loop while everyone is asleep.
A forecasting model that handles lead qualification end to end and hands a human the exceptions rather than the queue. Aimed at recruiting recruiters, catching the error before it becomes a change order.
A long-context reviewer that handles document review end to end and hands a human the exceptions rather than the queue. Aimed at recruiting recruiters, catching the error before it becomes a change order.
A narrow workflow engine scoped to invoicing alone — no platform, no migration, no six-month rollout. Aimed at recruiting ops teams, catching the error before it becomes a change order.
A retrieval engine that handles document review end to end and hands a human the exceptions rather than the queue. Aimed at recruiting ops teams, unbundling the one module people actually use.
A retrieval engine that handles training & competency end to end and hands a human the exceptions rather than the queue. Aimed at recruiting ops teams, holding service constant on a smaller team.
Proposal writing handled by a retrieval engine, with a human signing rather than writing. Aimed at staffing agency owners, surfacing the exposure nobody has priced.
A document parser that handles onboarding end to end and hands a human the exceptions rather than the queue. Aimed at staffing agency owners, starting from data the business already produces.
Point a forecasting model at dispatch, and let people review output instead of producing it. Aimed at staffing agency owners, built for one person, not a department.
Knowledge capture handled by a retrieval engine, with a human signing rather than writing. Aimed at staffing agency owners, 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 staffing agency owners, writing down what only one person knows.
A forecasting model that handles maintenance planning end to end and hands a human the exceptions rather than the queue. Aimed at staffing agency owners, replacing the spreadsheet that currently holds it together.
A forecasting model that sits beside the existing system, reads what it already produces, and closes training & competency. Aimed at staffing agency owners, built for one person, not a department.