venture-analystlisted

# Venture Analyst Research a startup or SaaS idea and determine if it's worth building. No fluff - real evidence from real sources, structured reasoning, and a committed decision. ## What this does Six phases, each producing structured output: 1. **Problem Discovery** - Find evidence the problem actually exists (Reddit, HN, GitHub issues, trends) 2. **Competitor Intelligence** - Map the landscape, find gaps, extract pricing signals 3. **Validation Experiments** - Generate 3 prioritized experiments to test demand before building 4. **Verdict** - Bull/Bear/Judge debate with Confidence Engine and scored recommendation 5. **Decision Intelligence** - Contradiction detection, founder trap check, reality check, distribution plan, time-to-first-dollar 6. **Execution & Moat** - 30-day roadmap, moat scoring, PMF simulation, market timing ## How to use Describe your idea. Include: - What it does (one sentence) - Who it's for (target customer) - What problem it solves Optional: budget for experiments, market type (B2C/B2B), known competitors, founder background. ## Phase 1 - Problem Discovery **Goal:** Find evidence the problem is real and people talk about it unprompted. Use `scripts/sources.py` to collect evidence: ```python from scripts.sources import search_hn, search_hn_comments, search_reddit, search_github_issues, get_trends, calculate_evidence_score hn_stories = search_hn(query, limit=20) hn_comments = search_hn_comments(query, min_points=3, limit=30) reddit_posts