opportunity-scout

# AI Opportunity Scout Find what people need → evaluate if you can build it → decide if it's worth it. ## Quick Start When the user specifies a niche (e.g. "AI agents", "crypto trading", "SaaS tools"): 1. Run the scout pipeline below 2. Score each finding with `scripts/scout.py` 3. Present the ranked report ## Scout Pipeline ### Step 1: Gather Data (use your built-in tools) Run these searches, adapting queries to the user's niche: **Twitter** (via exec): ```bash bird search "[niche] need OR wish OR looking for OR frustrated" --limit 20 bird search "[niche] tool OR plugin OR solution" --limit 20 ``` **Web** (via web_search tool): - `"[niche] pain points 2026"` - `"[niche] tools people want"` - `"site:reddit.com [niche] need OR wish OR looking for"` - `"site:producthunt.com [niche]"` **ClawHub** (if niche is AI/agent related): ```bash clawdhub search "[niche keyword]" ``` ### Step 2: Identify Opportunities From the raw data, extract distinct opportunities. Each opportunity = a specific unmet need that could become a product. Look for: - Repeated complaints/requests (same problem mentioned 3+ times) - Gaps between what exists and what people want - Problems with existing solutions (too expensive, too complex, missing features) - Emerging trends without established solutions ### Step 3: Score Each Opportunity Run the scoring script: ```bash python3 scripts/scout.py score --input opportunities.json --output report.md ``` Or score manually using these criteria (1-5 each): | Criterion | 5 (Best) | 3 (Medium) | 1 (Worst) | |-----------|----------|------------|-----------| | **Demand** | 50+ people asking | 10-20 mentions | 1-2 mentions | | **Competition** | No solutions exist | Some solutions, all flawed | Saturated market | | **Feasibility** | Build MVP in 1-2 days | 1-2 weeks | Months of work | | **Monetization** | People actively paying for similar | Freemium possible | Hard to charge | **Total Score interpretation:** - **16-20**: 🔥 BUILD IT NOW - **12-15**: 👍 Strong opportunity, worth pursuing - **8-11**: 🤔 Monitor, not urgent - **4-7**: ❌ Skip Detailed scoring examples: see `references/scoring-guide.md` ### Step 4: Generate Report Format results as: ``` # Opportunity Scout: [Niche] — [Date] ## 🏆 Top 3 Opportunities ### 1. [Name] (Score: X/20) - **Problem:** [What people need] - **Evidence:** [Links/quotes from research] - **Scores:** D:[X] C:[X] F:[X] M:[X] - **Action:** [What to build, how long, how to monetize] ### 2. [Name] (Score: X/20) ... ## All Findings | # | Opportunity | D | C | F | M | Total | Verdict | |---|------------|---|---|---|---|-------|---------| | 1 | ... | | | | | | | ## Recommendation [Which to build first and why] ``` ## Depth Modes - `--depth quick`: 2 Twitter + 2 web searches. Fast scan, ~2 min. - `--depth normal`: 4 Twitter + 4 web + ClawHub. Standard, ~5 min. - `--depth deep`: 6 Twitter + 8 web + ClawHub + Reddit deep dive. Thorough, ~10 min. ## Tips - Focus on problems people PAY to solve, not just complain about - "I wish..." and "Does anyone know a tool for..." = strongest signals - Check if existing solutions are abandoned/unmaintained — easy to replace - Crypto/finance niches: high monetization but also high competition - Niche down: "AI agent for dentists" beats "AI agent" every time