OpenClaw Venture Capitalist 🚀

AI-Powered Investment Analysis for Smart Decisions

Quickly review business plans and pitch decks, automatically generate comprehensive investment analysis reports and presentation decks.

✨ Features

• 📊 Automated Analysis - Parse pitch decks and business plans instantly
• 🔍 10-Point Framework - Comprehensive evaluation across market, team, product, financials, and more
• 📝 Investment Reports - Generate detailed analysis reports in multiple formats (Markdown, PDF, DOCX)
• 🎯 IC Presentations - Create polished investment committee decks automatically
• ⚖️ Deal Comparison - Compare multiple opportunities side-by-side
• 📈 Data Extraction - Extract specific metrics (market size, traction, financials)
• 🎨 Customizable - Adapt analysis framework to your investment criteria
• 💾 Deal Tracking - Maintain history of analyzed deals and decisions

🚀 Quick Start

Installation

# Clone the repository
git clone https://github.com/ZhenRobotics/openclaw-venture-capitalist.git
cd openclaw-venture-capitalist

# Install dependencies
npm install

# Build the project
npm run build

Basic Usage

# Analyze a pitch deck
npm start analyze pitch-deck.pdf

# Generate full investment report
npm start report pitch-deck.pdf --format pdf

# Create investment committee presentation
npm start deck pitch-deck.pdf

# Compare multiple deals
npm start compare deal-a.pdf deal-b.pdf deal-c.pdf

# Extract specific information
npm start extract pitch-deck.pdf market-size

📖 Command Reference

analyze <file>

Perform comprehensive analysis of a business plan or pitch deck.

Supported formats: PDF, PPTX, DOCX, TXT

Output: Structured analysis report with:

• Executive Summary
• Market Analysis (TAM/SAM, growth, trends)
• Team Assessment
• Product Evaluation
• Business Model Review
• Traction & Metrics
• Financial Analysis
• Competitive Landscape
• Risk Assessment
• Investment Recommendation

Example:

npm start analyze acme-startup-deck.pdf

report <file> [options]

Generate detailed investment analysis report.

Options:

• --format <type> - Output format: markdown, pdf, docx (default: markdown)
• --template <name> - Use custom template
• --sections <list> - Comma-separated sections to include
• --output <path> - Output file path

Example:

npm start report acme-startup-deck.pdf --format pdf --output ./reports/acme-analysis.pdf

deck <file> [options]

Create investment committee presentation deck.

Options:

• --template <name> - Presentation template (default: ic-standard)
• --slides <list> - Specific slides to include
• --output <path> - Output file path

Example:

npm start deck acme-startup-deck.pdf --template ic-standard --output ./decks/acme-ic.pptx

compare <file1> <file2> [...]

Compare multiple investment opportunities.

Output: Side-by-side comparison matrix with scoring

Example:

npm start compare startup-a.pdf startup-b.pdf startup-c.pdf

extract <file> <field>

Extract specific information from pitch deck.

Available fields:

• market-size - TAM/SAM/SOM
• team - Founder and team info
• financials - Revenue, projections, burn rate
• traction - Users, revenue, growth metrics
• competition - Competitors and differentiation
• ask - Funding amount and terms
• valuation - Pre/post money valuation

Example:

npm start extract acme-startup-deck.pdf traction

🎯 Analysis Framework

Our 10-point investment analysis framework:

1. Market Analysis

• Total Addressable Market (TAM)
• Serviceable Addressable Market (SAM)
• Market growth rate and trends
• Market dynamics and timing

2. Product/Solution

• Problem identification
• Solution uniqueness
• Product-market fit evidence
• Technology and IP assessment

3. Team Assessment

• Founder backgrounds
• Relevant experience and expertise
• Team composition and gaps
• Advisory board strength

4. Business Model

• Revenue streams
• Unit economics (CAC, LTV)
• Scalability potential
• Go-to-market strategy

5. Traction & Metrics

• Current users/customers
• Revenue and growth rates
• Key performance indicators
• Milestones achieved

6. Financial Analysis

• Revenue projections
• Burn rate and runway
• Unit economics
• Use of funds

7. Competitive Landscape

• Direct and indirect competitors
• Competitive advantages
• Barriers to entry
• Market positioning

8. Risk Assessment

• Market risks
• Execution risks
• Technology risks
• Team risks
• Financial risks

9. Investment Terms

• Valuation (pre/post money)
• Funding ask
• Equity stake
• Investment structure

10. Investment Recommendation

• Investment thesis
• Key strengths
• Critical concerns
• Go/No-go with reasoning

⚙️ Configuration

Create .vcconfig.json in your project root:

{
  "analysis_framework": "custom",
  "required_sections": [
    "market",
    "team",
    "product",
    "financials",
    "traction"
  ],
  "scoring": {
    "enabled": true,
    "weights": {
      "market": 0.25,
      "team": 0.30,
      "product": 0.20,
      "traction": 0.15,
      "financials": 0.10
    },
    "thresholds": {
      "strong_buy": 8.0,
      "buy": 6.5,
      "hold": 5.0,
      "pass": 0
    }
  },
  "report_template": "default",
  "output_directory": "./reports",
  "save_history": true,
  "api_keys": {
    "openai": "your-api-key",
    "anthropic": "your-api-key"
  }
}

Configuration Options

• analysis_framework: Use standard or custom framework
• required_sections: Sections that must be included in analysis
• scoring: Enable/disable automated scoring with custom weights
• report_template: Default template for reports
• output_directory: Where to save generated reports
• save_history: Track all analyzed deals
• api_keys: API keys for AI services (optional)

📂 Project Structure

openclaw-venture-capitalist/
├── src/
│   ├── core/
│   │   ├── analyzer.ts          # Main analysis engine
│   │   ├── extractor.ts         # Document parsing & data extraction
│   │   ├── scorer.ts            # Investment scoring logic
│   │   └── types.ts             # TypeScript type definitions
│   ├── generators/
│   │   ├── report.ts            # Report generation
│   │   ├── deck.ts              # Presentation deck creation
│   │   └── comparison.ts        # Multi-deal comparison
│   ├── parsers/
│   │   ├── pdf.ts               # PDF parsing
│   │   ├── pptx.ts              # PowerPoint parsing
│   │   └── docx.ts              # Word document parsing
│   ├── templates/
│   │   ├── report-standard.md   # Standard report template
│   │   ├── report-detailed.md   # Detailed report template
│   │   └── ic-deck.json         # IC presentation template
│   ├── utils/
│   │   ├── ai.ts                # AI/LLM integration
│   │   ├── logger.ts            # Logging utilities
│   │   └── validator.ts         # Input validation
│   └── cli/
│       └── index.ts             # CLI entry point
├── config/
│   ├── default.json             # Default configuration
│   └── .vcconfig.example.json   # Example user config
├── templates/
│   ├── reports/                 # Report templates
│   └── decks/                   # Presentation templates
├── examples/
│   ├── sample-pitch-deck.pdf    # Sample pitch deck
│   ├── analysis-output.md       # Sample analysis
│   └── comparison-output.md     # Sample comparison
├── tests/
│   ├── analyzer.test.ts
│   ├── extractor.test.ts
│   └── generators.test.ts
├── skill.md                     # SKILL definition
├── README.md                    # This file
├── package.json
└── tsconfig.json

🎓 Usage Examples

Example 1: Quick Deal Screening

# Analyze pitch deck for quick screening
npm start analyze acme-fintech.pdf

# Output: Executive summary with key highlights and concerns

Example 2: Full Investment Memo

# Generate comprehensive investment report
npm start report acme-fintech.pdf \
  --format pdf \
  --sections all \
  --output ./reports/acme-memo-2024-03.pdf

# Output: 10-15 page investment memo with full analysis

Example 3: Investment Committee Presentation

# Create IC presentation deck
npm start deck acme-fintech.pdf \
  --template ic-standard \
  --output ./decks/acme-ic-presentation.pptx

# Output: 10-slide PowerPoint presentation

Example 4: Pipeline Comparison

# Compare 5 deals in current pipeline
npm start compare \
  deal-a.pdf \
  deal-b.pdf \
  deal-c.pdf \
  deal-d.pdf \
  deal-e.pdf \
  --output ./reports/q1-pipeline-comparison.md

# Output: Comparative analysis with scoring matrix

Example 5: Extract Market Data

# Quick market size extraction for partner discussion
npm start extract acme-fintech.pdf market-size

# Output:
# TAM: $50B
# SAM: $10B
# SOM: $500M (5-year target)
# Growth Rate: 25% CAGR

🎯 Use Cases

For Venture Capital Firms

• Deal Flow Management: Screen 100+ deals per month efficiently
• Investment Memos: Generate standardized investment memos
• Partner Meetings: Prepare IC presentations automatically
• Portfolio Analysis: Track and compare portfolio companies

For Angel Investors

• Due Diligence: Quick assessment of startup opportunities
• Investment Notes: Document investment rationale
• Deal Comparison: Compare multiple angel investments
• Learning: Analyze patterns in successful investments

For Corporate VCs

• Strategic Fit: Assess alignment with corporate goals
• Market Intelligence: Track emerging technologies and trends
• Investment Reports: Generate reports for stakeholders
• Pipeline Management: Maintain deal pipeline and status

For Investment Committees

• Decision Support: Receive standardized deal summaries
• Comparative Analysis: Review multiple opportunities at once
• Risk Assessment: Understand key risks before voting
• Documentation: Maintain records of investment decisions

📊 Output Examples

Investment Analysis Report

# Investment Analysis: Acme Fintech

**Analysis Date**: March 26, 2024
**Analyst**: AI Investment Assistant
**Recommendation**: STRONG BUY

## Executive Summary

Acme Fintech is building an AI-powered financial planning platform for SMBs...

**Investment Highlights**:
- Large and growing market ($50B TAM)
- Strong founder team with 20+ years fintech experience
- Proven traction: $2M ARR, 300% YoY growth
- Defensible technology with proprietary ML models

**Key Concerns**:
- Competitive market with well-funded incumbents
- High customer acquisition costs ($2,500 CAC)
- Regulatory risks in financial services

**Overall Score**: 8.2/10

## Market Analysis

**Total Addressable Market (TAM)**: $50B
...

[Full 10-section analysis]

## Investment Recommendation

**Recommendation**: Proceed with investment

**Investment Thesis**:
Acme addresses a clear pain point for SMBs with a differentiated AI approach...

**Next Steps**:
1. Deep dive on unit economics
2. Reference calls with existing customers
3. Technical due diligence on ML models
4. Term sheet preparation

Comparison Matrix

# Deal Comparison - Q1 2024 Pipeline

|  | Acme Fintech | Beta SaaS | Charlie AI |
|---|---|---|---|
| **Market Size** | $50B TAM | $20B TAM | $100B TAM |
| **Team Score** | 9/10 | 7/10 | 8/10 |
| **Traction** | $2M ARR | $500K ARR | $5M ARR |
| **Growth** | 300% YoY | 150% YoY | 200% YoY |
| **Valuation** | $20M | $15M | $50M |
| **Overall** | 8.2/10 | 6.5/10 | 7.8/10 |
| **Recommendation** | STRONG BUY | HOLD | BUY |

🔐 Privacy & Security

• All document processing happens locally
• No data sent to external servers (unless AI APIs configured)
• Sensitive information can be redacted before analysis
• Investment reports stored locally with encryption option
• Configurable data retention policies

🛠️ Development

Prerequisites

• Node.js 18+
• TypeScript 5+
• pnpm or npm

Setup Development Environment

# Install dependencies
npm install

# Run in development mode
npm run dev

# Run tests
npm test

# Build for production
npm run build

# Lint code
npm run lint

Adding Custom Analysis Modules

// src/analyzers/custom-analyzer.ts
import { BaseAnalyzer } from './base';

export class CustomAnalyzer extends BaseAnalyzer {
  async analyze(document: Document): Promise<Analysis> {
    // Your custom analysis logic
  }
}

🤝 Contributing

Contributions welcome! Please read our Contributing Guide.

Areas for Contribution

• Additional document parsers (Notion, Google Docs, etc.)
• New analysis frameworks (industry-specific)
• Report templates
• Integration with deal management platforms
• Automated data enrichment (market data APIs)

📝 Changelog

v1.0.0 (2024-03-26)

• ✨ Initial release
• ✅ PDF, PPTX, DOCX parsing
• ✅ 10-point analysis framework
• ✅ Report generation (Markdown, PDF, DOCX)
• ✅ Investment committee deck creation
• ✅ Multi-deal comparison
• ✅ Data extraction capabilities
• ✅ Configurable scoring system

📄 License

MIT License - see LICENSE file

🔗 Links

• GitHub: https://github.com/ZhenRobotics/openclaw-venture-capitalist
• Documentation: https://docs.openclaw.ai/venture-capitalist
• Issues: https://github.com/ZhenRobotics/openclaw-venture-capitalist/issues
• npm: https://www.npmjs.com/package/openclaw-venture-capitalist
• Discord: https://discord.gg/openclaw

🙏 Acknowledgments

Built with:

• TypeScript
• Commander.js (CLI)
• pdf-parse (PDF parsing)
• officegen (PPTX generation)
• marked (Markdown processing)
• Anthropic Claude API (AI analysis)

Make smarter investment decisions with AI-powered analysis 🚀📊

"In venture capital, pattern recognition is everything. This tool helps you see the patterns faster."