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.
Risk assessment handled by a retrieval engine, with a human signing rather than writing. Aimed at recruiting agency owners, closing the loop while everyone is asleep.
A reconciliation engine that sits beside the existing system, reads what it already produces, and closes reconciliation. Aimed at recruiting agency owners, catching the error before it becomes a change order.
Invoicing handled by a reconciliation engine, with a human signing rather than writing. Aimed at staffing schedulers, surfacing the exposure nobody has priced.
A narrow reconciliation engine scoped to reconciliation alone — no platform, no migration, no six-month rollout. Aimed at staffing schedulers, starting from data the business already produces.
A long-context reviewer that sits beside the existing system, reads what it already produces, and closes contract analysis. Aimed at staffing schedulers, catching the error before it becomes a change order.
A narrow document parser scoped to reconciliation alone — no platform, no migration, no six-month rollout. Aimed at staffing ops teams, starting from data the business already produces.
Point a retrieval engine at grant & funding tracking, and let people review output instead of producing it. Aimed at professional services ops teams, writing down what only one person knows.
Proposal writing handled by a long-context reviewer, with a human signing rather than writing. Aimed at staffing agency owners, going after the low-value tail everyone else skips.
Point a retrieval engine at contract analysis, and let people review output instead of producing it. Aimed at staffing agency owners, finding what the inspector would find, first.
A retrieval engine that handles proposal writing end to end and hands a human the exceptions rather than the queue. Aimed at staffing schedulers, taking the phone queue off a human entirely.
A narrow retrieval engine scoped to knowledge capture alone — no platform, no migration, no six-month rollout. Aimed at staffing schedulers, starting from data the business already produces.
Knowledge capture handled by a voice agent, with a human signing rather than writing. Aimed at staffing schedulers, taking the phone queue off a human entirely.
Claims & appeals handled by a retrieval engine, with a human signing rather than writing. Aimed at staffing schedulers, holding service constant on a smaller team.
A forecasting model that sits beside the existing system, reads what it already produces, and closes training & competency. Aimed at staffing schedulers, replacing the spreadsheet that currently holds it together.
A document parser that handles intake & triage end to end and hands a human the exceptions rather than the queue. Aimed at staffing schedulers, replacing the spreadsheet that currently holds it together.
A document parser that handles invoicing end to end and hands a human the exceptions rather than the queue. Aimed at staffing ops teams, finding what the inspector would find, first.
A narrow retrieval engine scoped to claims & appeals alone — no platform, no migration, no six-month rollout. Aimed at staffing ops teams, catching the error before it becomes a change order.
A narrow long-context reviewer scoped to contract analysis alone — no platform, no migration, no six-month rollout. Aimed at staffing ops teams, writing down what only one person knows.
Contract analysis handled by a document parser, with a human signing rather than writing. Aimed at professional services ops teams, built for one person, not a department.
A narrow voice agent scoped to inspection alone — no platform, no migration, no six-month rollout. Aimed at professional services ops teams, proving value before anyone signs anything.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes knowledge capture. Aimed at professional services project managers, catching the error before it becomes a change order.
Reconciliation handled by an anomaly detector, with a human signing rather than writing. Aimed at marketing agencies ops teams, closing the loop while everyone is asleep.
An anomaly detector that handles margin monitoring end to end and hands a human the exceptions rather than the queue. Aimed at franchising franchisees, finding what the inspector would find, first.
A narrow anomaly detector scoped to margin monitoring alone — no platform, no migration, no six-month rollout. Aimed at franchising franchisees, finding what the inspector would find, first.