Startup Idea Validator

中文 | English

Intelligently validate startup ideas, generate feasibility reports in one click

Automatically analyze market size, competitive landscape, technical feasibility, business models, and potential risks to help entrepreneurs make informed decisions before investing significant time.

Features

• 📊 Market Size Analysis - TAM/SAM/SOM three-tier market estimation
• 👥 Competitor Deep Scan - Identify major competitors, analyze differentiation opportunities
• 💻 Technical Feasibility - Development cost, MVP path recommendations
• 💰 Business Model Validation - Unit Economics, LTV/CAC analysis
• ⚠️ Risk Matrix - Legal compliance, market, execution risk assessment
• 📋 Validation Report - Generate actionable validation report and next-step recommendations

Quick Start

Command Line Usage

# Basic validation
python scripts/startup_validator.py --idea "AI-powered customer service system for SMEs"

# Deep analysis
python scripts/startup_validator.py --idea "your idea" --deep-analysis

# Specify output directory
python scripts/startup_validator.py --idea "your idea" --output ./report

Direct Usage

from startup_validator import StartupIdeaValidator

validator = StartupIdeaValidator("your startup idea")
report = validator.validate(deep_analysis=True)

print(f"Score: {report.validation_score}/100")
print(f"Recommendation: {report.recommendation}")

Example Output

Validation results include a comprehensive score (0-100) and detailed report:

============================================================
🚀 Startup Idea Validator v1.0.0
============================================================

🔍 Validating idea: AI-powered customer service system for SMEs
📊 Identified industry: ai_ml
📈 Market analysis complete
👥 Found 6 competitors
💻 Tech feasibility: high
💰 Recommended model: subscription
⚠️ Identified 5 risks

============================================================
📊 Validation Score: 72/100
💡 Recommendation: 🌟 Strongly Recommended
============================================================

Generated Markdown report includes:

Section	Content
Comprehensive Score	Visual score bar + recommendation
Market Size	TAM/SAM/SOM + growth rate
Competitor Analysis	Competitor comparison table
Technical Assessment	Complexity, timeline, cost
Business Model	Profit model, Unit Economics
Risk Matrix	Risk level + mitigation strategies
Next Steps	5 actionable next-step recommendations

Supported Industries

Industry	Keyword Examples
AI/ML	AI, big model, GPT, LLM, AIGC
SaaS	enterprise software, B2B, subscription, CRM
FinTech	payment, finance, insurance, wealth management
E-commerce	ecommerce, shopping, marketplace, retail
Education	online education, learning, MOOC, training
Healthcare	medical, health, consultation, registration
Social	social, community, IM, communication
Gaming	gaming, mobile games, esports
HR Tech	recruitment, HR, human resources
Logistics	logistics, warehousing, delivery, supply chain

Output Report Example

# 🚀 Startup Idea Validation Report

**Idea**: AI-powered customer service system for SMEs  
**Validation Time**: 2026-05-04  
**Industry**: ai_ml  
**Version**: 1.0.0

---

## 📊 Comprehensive Score

| Score | ██████████░░░░░░░░ | 72/100 |
|-------|----------------------|--------------|
| Conclusion | 🌟 **Strongly Recommended** |  |

---

## 🎯 Executive Summary

🌟 Strongly Recommended: This idea has great market potential and is technically 
[... full report content ...]

Development

# Clone repository
git clone https://github.com/zhan1206/startup-idea-validator.git
cd startup-idea-validator

# Create virtual environment
python -m venv venv
source venv/bin/activate  # Linux/Mac
# or: venv\Scripts\activate  # Windows

# Install dependencies
pip install -r requirements.txt

# Run validation
python scripts/startup_validator.py --idea "your startup idea"

Contributing

Contributions welcome!

1. Fork this repository
2. Create feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to branch (git push origin feature/amazing-feature)
5. Open Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.