Generate startup ideas worth building.

A set of distinct, deeply framed startup candidates — each one carrying a named customer segment with explicit ICP cues, the underlying problem with its urgency and frequency signal, the outcome you're delivering with the wedge that makes it defensible, an estimate of commercial viability per dimension, and the structured context that every downstream step (Refinement → Idea Score → Strategy Map → Market Intelligence → Blueprints → Roadmap → Investor Export) inherits without copy-paste or context loss. Generic LLM brainstorming hands you sentences; the Idea Generator hands you the venture's spine.

A general-purpose chat gives you fluent text — a list of plausible-sounding ideas that the model forgets the second the thread ends. The Idea Generator gives you persistent, structured candidates: each one anchored to a real customer + problem + wedge + viability signal, each one inherited by the rest of the chain without re-prompting. You can refine a candidate, compare it to siblings, score it on commercial viability, lock a strategic path, generate the Blueprint Operating System on top, and export the investor-ready memo — all from the same structured object. ChatGPT / Claude / Perplexity don't lose the conversation; they lose the COMMITMENT — the structured artifact your team and your investors can audit.

Yes. Every generated idea can be refined, compared with siblings, and iterated on. The refinement step tightens the wedge before scoring.

Anywhere there's a customer with a real problem — SaaS, marketplaces, fintech, AI tools, vertical software, prosumer apps. The Generator frames the input first, then proposes candidates fitted to that frame.

No. The Generator speaks founder, not engineer. You describe a topic or paste a competitor URL; Gaplyze does the structure.

You pick one or more candidates to score, refine, or compare. Scored ideas unlock strategic-path mapping, market intelligence, blueprints, and an investor-ready export.