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 onboarding, and let people review output instead of producing it. Aimed at legal paralegal teams, unbundling the one module people actually use.
A narrow long-context reviewer scoped to proposal writing alone — no platform, no migration, no six-month rollout. Aimed at legal paralegal teams, closing the loop while everyone is asleep.
Point a document parser at reconciliation, and let people review output instead of producing it. Aimed at legal paralegal teams, writing down what only one person knows.
A document parser that handles grant & funding tracking end to end and hands a human the exceptions rather than the queue. Aimed at legal paralegal teams, unbundling the one module people actually use.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes grant & funding tracking. Aimed at legal paralegal teams, closing the loop while everyone is asleep.
Training & competency handled by a retrieval engine, with a human signing rather than writing. Aimed at legal paralegal teams, at a tenth of what the enterprise suite charges.
A narrow retrieval engine scoped to RFP response alone — no platform, no migration, no six-month rollout. Aimed at legal paralegal teams, replacing the spreadsheet that currently holds it together.
Point a long-context reviewer at RFP response, and let people review output instead of producing it. Aimed at legal paralegal teams, proving value before anyone signs anything.
A document parser that sits beside the existing system, reads what it already produces, and closes RFP response. Aimed at legal paralegal teams, starting from data the business already produces.
RFP response handled by a document parser, with a human signing rather than writing. Aimed at legal paralegal teams, catching the error before it becomes a change order.
A document parser that sits beside the existing system, reads what it already produces, and closes RFP response. Aimed at legal paralegal teams, so the work stops following people home.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes claims & appeals. Aimed at legal paralegal teams, closing the loop while everyone is asleep.
A document parser that handles intake & triage end to end and hands a human the exceptions rather than the queue. Aimed at legal ops teams, so the work stops following people home.
A document parser that sits beside the existing system, reads what it already produces, and closes quoting & estimating. Aimed at legal ops teams, starting from data the business already produces.
Point a retrieval engine at RFP response, and let people review output instead of producing it. Aimed at legal ops teams, going after the low-value tail everyone else skips.
RFP response handled by a document parser, with a human signing rather than writing. Aimed at legal ops teams, 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 legal ops teams, holding service constant on a smaller team.
A workflow engine that handles onboarding end to end and hands a human the exceptions rather than the queue. Aimed at accounting firm owners, charging only when it actually works.
A document parser that handles onboarding end to end and hands a human the exceptions rather than the queue. Aimed at accounting firm owners, surfacing the exposure nobody has priced.
An anomaly detector that handles renewal management end to end and hands a human the exceptions rather than the queue. Aimed at accounting firm owners, replacing the spreadsheet that currently holds it together.
Contract analysis handled by a retrieval engine, with a human signing rather than writing. Aimed at accounting firm owners, writing down what only one person knows.
A reconciliation engine that sits beside the existing system, reads what it already produces, and closes payroll verification. Aimed at accounting firm owners, proving value before anyone signs anything.
A retrieval engine that handles training & competency end to end and hands a human the exceptions rather than the queue. Aimed at accounting firm owners, holding service constant on a smaller team.
A document parser that sits beside the existing system, reads what it already produces, and closes incident reporting. Aimed at accounting firm owners, unbundling the one module people actually use.