FitFinder 🎯

Accelerate Product/Market Fit with AI Agents and Skills

FitFinder leverages multi-agent AI systems and specialized skills to help you identify what to build and who to build it for — the two critical components of achieving product/market fit.

🚀 Project Vision

Use AI-powered agents to:

• Discover market opportunities through intelligent research and analysis
• Identify target audiences with precision segmentation
• Validate product ideas before writing a single line of code
• Accelerate development with coordinated multi-agent workflows
• Optimize for product/market fit through continuous feedback loops

📦 Getting Started

Clone the Repository

To clone FitFinder with all submodules included:

# Clone with all submodules in one command
git clone --recurse-submodules https://github.com/natea/fitfinder.git
cd fitfinder

Already Cloned? Initialize Submodules

If you've already cloned the repository without submodules:

# Initialize and update all submodules
git submodule update --init --recursive

Update Submodules

To pull the latest changes from all submodules:

# Update all submodules to their latest commits
git submodule update --remote --merge

🏗️ Project Structure

fitfinder/
├── .claude/                    # Claude Code configuration
│   ├── agents/                # 54+ specialized agent definitions
│   ├── commands/              # SPARC and workflow commands
│   ├── skills/                # Advanced orchestration skills
│   └── settings.json          # Claude Code settings
├── submodules/                # Integrated repositories
│   ├── agent-skill-creator/   # Tools for creating custom agent skills
│   ├── ar-claude-skills/      # AR-specific Claude skills
│   ├── Skill_Seekers/         # Skill discovery utilities
│   ├── mcp-getgather/         # MCP server for GetGather integration
│   ├── superpowers/           # Advanced Claude Code superpowers
│   └── anthropic-claude-skills/ # Official Anthropic skills
├── CLAUDE.md                  # Project instructions & methodology
└── README.md                  # This file

🎯 Core Capabilities

1. Market Research & Analysis

• Researcher agents analyze market trends and opportunities
• Analyst agents process data and identify patterns
• Scout agents explore competitive landscapes

2. Audience Identification

• Segmentation analysis using AI-powered clustering
• Persona generation from real market data
• Behavior prediction through neural pattern recognition

3. Product Validation

• Hypothesis testing with automated workflows
• Feedback analysis using sentiment and pattern detection
• Iteration cycles coordinated by multi-agent swarms

4. Rapid Development

• SPARC methodology (Specification → Pseudocode → Architecture → Refinement → Completion)
• Concurrent execution with 54+ specialized agents
• TDD workflows with automated testing
• GitHub integration for seamless deployment

🛠️ Technology Stack

AI Orchestration

• Claude Flow - Multi-agent coordination and swarm intelligence
• MCP Servers - Model Context Protocol integrations
• Neural Networks - Pattern recognition and learning

Development Methodology

• SPARC - Systematic development lifecycle
• TDD - Test-Driven Development
• Concurrent Execution - Parallel agent workflows (2.8-4.4x speed improvement)

Agent Types (54+ Available)

• Core: coder, reviewer, tester, planner, researcher
• Specialized: backend-dev, mobile-dev, ml-developer, system-architect
• GitHub: pr-manager, code-review-swarm, issue-tracker, release-manager
• SPARC: specification, pseudocode, architecture, refinement
• Swarm: hierarchical-coordinator, mesh-coordinator, adaptive-coordinator
• And many more...

🚦 Quick Start Workflow

1. Setup MCP Servers (Required)

# Add Claude Flow (required for agent coordination)
claude mcp add claude-flow npx claude-flow@alpha mcp start

# Optional: Enhanced coordination
claude mcp add ruv-swarm npx ruv-swarm mcp start

# Optional: Cloud features
claude mcp add flow-nexus npx flow-nexus@latest mcp start

2. Initialize Your First Product Discovery

# Use SPARC methodology for systematic discovery
npx claude-flow sparc run spec-pseudocode "Discover product opportunities in [your market]"

# Spawn research agents for market analysis
npx claude-flow swarm init --topology mesh --max-agents 5

# Run parallel market research
npx claude-flow sparc batch researcher,analyst "Analyze [your target market]"

3. Validate Your Product Idea

# Run TDD workflow for rapid validation
npx claude-flow sparc tdd "Build MVP for [your product idea]"

# Execute full pipeline
npx claude-flow sparc pipeline "Product validation for [target audience]"

📚 Key Concepts

Product/Market Fit Framework

1. Discovery Phase

   • Use researcher and analyst agents to explore markets
   • Identify pain points and opportunities
   • Map competitive landscapes

2. Definition Phase

   • Define target audience with precision
   • Create detailed user personas
   • Validate assumptions with data

3. Development Phase

   • Build MVPs using SPARC methodology
   • Iterate based on feedback loops
   • Scale with multi-agent coordination

4. Deployment Phase

   • Continuous validation and optimization
   • Automated testing and quality assurance
   • Performance monitoring and improvement

AI Agent Coordination

FitFinder uses concurrent execution patterns where all operations happen in parallel:

• 1 Message = All Related Operations
• Batch todos, file operations, and agent spawning
• 2.8-4.4x speed improvement over sequential execution
• 32.3% token reduction through optimization

🎓 Learning Resources

• CLAUDE.md - Complete project instructions and methodology
• Submodules - Additional skills and MCP integrations
• Claude Flow Documentation
• Flow Nexus Platform

🤝 Contributing

Contributions are welcome! This project uses:

• Git submodules for modular skill integration
• SPARC methodology for systematic development
• Multi-agent coordination for code review and testing

📄 License

See individual submodule licenses for details.

🚀 Performance Metrics

• 84.8% SWE-Bench solve rate
• 32.3% token reduction
• 2.8-4.4x speed improvement
• 27+ neural models available
• 54+ specialized agents

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Remember: Product/Market Fit = What to Build + Who to Build It For

Use AI agents to discover both, faster and smarter than ever before.

🤖 Powered by Claude Code and SPARC Methodology