I built a product validation service that runs startup ideas through 4 frontier models (GPT-5.2, Gemini 2.5 Pro, Claude Opus, Claude Sonnet) across 16 perspectives to surface disagreements and blind spots.

Why this exists: Most founders get either cheerleading ("great idea!") or generic advice. I wanted adversarial multi-model validation—where models argue with each other about your idea's viability.

How it works:

1. Research phase: 6 platforms (Reddit, G2, HN, Twitter, Product Hunt, YouTube) for competitor analysis + pain validation

2. Fanout: 16 expert perspectives (4 roles × 4 models: Builder, Skeptic, Operator, Growth)

3. Synthesis: Consolidate into 5 deliverables (Executive Summary, PRD, Scorecard, Synthesis Notes, Validation Plan)

4. Delivery: PDF report in 24 hours, $39

Sample validation: Agent Ops (OpenClaw workflow observability) - GREENLIGHT, 7.5/10 confidence. Models agreed on clear pain point, defensible moat via OpenClaw integration. Sample report: https://ideas.sparkngine.com

First paying customer delivered tonight: [Hotel marketing analytics client]. Verdict: PROCEED WITH CAUTION (5.8/10). Real assessment—not cheerleading. Flagged small TAM, long sales cycles, identity resolution risk as key blockers.

Tech stack: Built on OpenClaw for multi-agent orchestration, uses Brave Search API for research, Gemini Pro for synthesis, mix of frontier models for diverse perspectives.

Asking HN: Does this actually help founders make better decisions, or am I solving the wrong problem? Is $39 the right price point for rigorous validation?

Link: https://ideas.sparkngine.com