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):

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):

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:

python3 scripts/scout.py score --input opportunities.json --output report.md

Or score manually using these criteria (1-5 each):

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