idea-validator

Screen startup ideas for viability by analyzing competition density, funding signals, timing fit, operator fit, and market size. This process computes a viability score to produce a ranked shortlist and logs skipped reasons for backlog batches.

Triage a startup idea backlog by reading unscreened ideas from memory files, optionally filtered by a theme, and performing web research to classify competition and detect funding momentum. This prevents the backlog from becoming noise.

Idea scoring combines timing fit, operator fit, competition category, and market-size estimates into a ranked recommendation. It uses web search to gather signals and applies a viability score to prioritize the best startup concepts.

Filter startup idea screening by an optional theme or domain, such as crypto. The validator screens up to eight unscreened ideas from memory matching that theme and delivers a formatted notification with the top picks.

Avoid screening duplicate startup ideas by reading prior screening notes from memory files and selecting only ideas not yet recorded as screened. Results are written to a persistent screening database to maintain deduplication.

Limitations of automated viability scoring include reliance on web search signals for competition and funding analysis, meaning market size estimates are lightweight. It processes backlog batches of up to eight ideas and sends notifications under size limits.