Idea Validator
Product research workbench for mining pain signals, scoring markets, and stress-testing startup ideas.
Idea Validator is a personal product research workbench for moving from hunch to evidence. It starts with a pain point or market category, then mines public signal sources for real complaints, alternatives, and urgency.
The product uses Claude for scoring, synthesis, and adversarial critique, while preserving research history in Postgres for comparison and export.
It was built as a practical founder tool: fast enough for repeated exploration, structured enough to compare opportunities, and skeptical enough to surface reasons not to build.
- Pain-signal mining across Reddit, Hacker News, X, GitHub Issues, Product Hunt, Indie Hackers RSS, and Google Trends.
- Claude scoring, synthesis, and adversarial critique workflows.
- Postgres-backed history, comparison, and exportable validation reports.
- Eval harness to keep research quality measurable as prompts and sources evolve.
Signal Mining
Pull opportunity evidence from noisy public channels.
- Multi-source research sessions
- Pain-point extraction
- Trend and complaint discovery
- Alternative-product context
AI Evaluation
Turn raw evidence into structured opportunity decisions.
- Claude scoring
- Market synthesis
- Adversarial critique
- Confidence rationale
Research Memory
Preserve sessions for comparison and reporting.
- Postgres storage
- Run comparison
- History views
- Exportable reports