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 workflow engine scoped to onboarding alone — no platform, no migration, no six-month rollout. Aimed at legal solo practitioners, taking the phone queue off a human entirely.
An anomaly detector that handles payroll verification end to end and hands a human the exceptions rather than the queue. Aimed at legal solo practitioners, taking the phone queue off a human entirely.
Point a retrieval engine at training & competency, and let people review output instead of producing it. Aimed at legal partners, charging only when it actually works.
An anomaly detector that handles risk assessment end to end and hands a human the exceptions rather than the queue. Aimed at legal partners, starting from data the business already produces.
Point a reconciliation engine at reconciliation, and let people review output instead of producing it. Aimed at legal paralegal teams, finding what the inspector would find, first.
A document parser that sits beside the existing system, reads what it already produces, and closes quoting & estimating. Aimed at legal paralegal teams, replacing the spreadsheet that currently holds it together.
A narrow workflow engine scoped to proposal writing alone — no platform, no migration, no six-month rollout. Aimed at legal solo practitioners, replacing the spreadsheet that currently holds it together.
A long-context reviewer that handles contract analysis end to end and hands a human the exceptions rather than the queue. Aimed at legal solo practitioners, catching the error before it becomes a change order.
An autonomous agent that handles lead qualification end to end and hands a human the exceptions rather than the queue. Aimed at legal solo practitioners, going after the low-value tail everyone else skips.
An autonomous agent that handles lead qualification end to end and hands a human the exceptions rather than the queue. Aimed at legal solo practitioners, catching the error before it becomes a change order.
Point a retrieval engine at risk assessment, and let people review output instead of producing it. Aimed at legal solo practitioners, catching the error before it becomes a change order.
Proposal writing handled by a retrieval engine, with a human signing rather than writing. Aimed at legal partners, writing down what only one person knows.
An anomaly detector that sits beside the existing system, reads what it already produces, and closes reconciliation. Aimed at legal partners, replacing the spreadsheet that currently holds it together.
Quoting & estimating handled by a document parser, with a human signing rather than writing. Aimed at legal partners, proving value before anyone signs anything.
Lead qualification handled by an autonomous agent, with a human signing rather than writing. Aimed at legal partners, replacing the spreadsheet that currently holds it together.
Point a document parser at payroll verification, and let people review output instead of producing it. Aimed at legal partners, catching the error before it becomes a change order.
A narrow forecasting model scoped to pricing alone — no platform, no migration, no six-month rollout. Aimed at legal partners, finding what the inspector would find, first.
Training & competency handled by a forecasting model, with a human signing rather than writing. Aimed at legal partners, catching the error before it becomes a change order.
Point a retrieval engine at RFP response, and let people review output instead of producing it. Aimed at legal partners, finding what the inspector would find, first.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes risk assessment. Aimed at legal partners, closing the loop while everyone is asleep.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes contract analysis. Aimed at legal paralegal teams, 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 legal paralegal teams, writing down what only one person knows.
An anomaly detector that handles reconciliation end to end and hands a human the exceptions rather than the queue. Aimed at legal paralegal teams, going after the low-value tail everyone else skips.
A long-context reviewer that handles RFP response end to end and hands a human the exceptions rather than the queue. Aimed at legal paralegal teams, taking the phone queue off a human entirely.