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.
Field reporting handled by a document parser, with a human signing rather than writing. Aimed at solar owner-operators, built for one person, not a department.
An autonomous agent that sits beside the existing system, reads what it already produces, and closes collections. Aimed at solar project managers, writing down what only one person knows.
A long-context reviewer that sits beside the existing system, reads what it already produces, and closes document review. Aimed at solar ops teams, going after the low-value tail everyone else skips.
Margin monitoring handled by a reconciliation engine, with a human signing rather than writing. Aimed at solar ops teams, starting from data the business already produces.
Asset tracking handled by an anomaly detector, with a human signing rather than writing. Aimed at solar ops teams, writing down what only one person knows.
A narrow document parser scoped to reconciliation alone — no platform, no migration, no six-month rollout. Aimed at solar ops teams, closing the loop while everyone is asleep.
A voice agent that sits beside the existing system, reads what it already produces, and closes shift handover. Aimed at solar ops teams, going after the low-value tail everyone else skips.
A narrow retrieval engine scoped to compliance audit alone — no platform, no migration, no six-month rollout. Aimed at solar ops teams, finding what the inspector would find, first.
Document review handled by a document parser, with a human signing rather than writing. Aimed at utilities ops teams, replacing the spreadsheet that currently holds it together.
Permit & licence tracking handled by an anomaly detector, with a human signing rather than writing. Aimed at utilities compliance leads, holding service constant on a smaller team.
A narrow classifier scoped to expense review alone — no platform, no migration, no six-month rollout. Aimed at utilities compliance leads, closing the loop while everyone is asleep.
A narrow vision model scoped to asset tracking alone — no platform, no migration, no six-month rollout. Aimed at utilities compliance leads, closing the loop while everyone is asleep.
A retrieval engine that handles risk assessment end to end and hands a human the exceptions rather than the queue. Aimed at waste management ops teams, proving value before anyone signs anything.
RFP response handled by a long-context reviewer, with a human signing rather than writing. Aimed at waste management ops teams, catching the error before it becomes a change order.
A long-context reviewer that sits beside the existing system, reads what it already produces, and closes contract analysis. Aimed at waste management route planners, taking the phone queue off a human entirely.
Point an anomaly detector at permit & licence tracking, and let people review output instead of producing it. Aimed at agriculture co-op managers, built for one person, not a department.
Point a document parser at invoicing, and let people review output instead of producing it. Aimed at agriculture agronomists, surfacing the exposure nobody has priced.
A narrow retrieval engine scoped to proposal writing alone — no platform, no migration, no six-month rollout. Aimed at agriculture agronomists, finding what the inspector would find, first.
A reconciliation engine that handles reporting & analytics end to end and hands a human the exceptions rather than the queue. Aimed at agriculture agronomists, proving value before anyone signs anything.
A narrow retrieval engine scoped to RFP response alone — no platform, no migration, no six-month rollout. Aimed at agriculture agronomists, replacing the spreadsheet that currently holds it together.
Point a document parser at intake & triage, and let people review output instead of producing it. Aimed at agriculture agronomists, 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 agriculture owner-operators, finding what the inspector would find, first.
Point a voice agent at field reporting, and let people review output instead of producing it. Aimed at agriculture owner-operators, starting from data the business already produces.
A narrow document parser scoped to intake & triage alone — no platform, no migration, no six-month rollout. Aimed at agriculture owner-operators, taking the phone queue off a human entirely.