
Market Sizing Analysis
Calculates TAM, SAM, and SOM using three methodologies: top-down from industry reports, bottom-up from customer segments, and value theory from willingness to pay. Walks you through the complete framework with formulas, data sources, and validation checks. Use it when building investor decks, validating startup opportunities, or sizing markets for business plans. The bottom-up methodology is most credible with VCs since it builds from actual customer data rather than industry estimates. Includes realistic penetration rates and warns against common red flags like claiming more than 10% market share as a new entrant.
- skills.sh installs
- 12.2K
- GitHub stars
- 42.4K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add wshobson/agents --skill market-sizing-analysis --agent claude-codeInstalls into .claude/skills of the current project.
Files
Market Sizing Analysis
Comprehensive market sizing methodologies for calculating Total Addressable Market (TAM), Serviceable Available Market (SAM), and Serviceable Obtainable Market (SOM) for startup opportunities.
Overview
Market sizing provides the foundation for startup strategy, fundraising, and business planning. Calculate market opportunity using three complementary methodologies: top-down (industry reports), bottom-up (customer segment calculations), and value theory (willingness to pay).
Core Concepts
The Three-Tier Market Framework
TAM (Total Addressable Market)
- Total revenue opportunity if achieving 100% market share
- Defines the universe of potential customers
- Used for long-term vision and market validation
- Example: All email marketing software revenue globally
SAM (Serviceable Available Market)
- Portion of TAM targetable with current product/service
- Accounts for geographic, segment, or capability constraints
- Represents realistic addressable opportunity
- Example: AI-powered email marketing for e-commerce in North America
SOM (Serviceable Obtainable Market)
Sponsors
Details
- Repository
- github.com/wshobson/agents
- Categories
- Productivity & Planning, Sales & Marketing
More from wshobson/agents
All 174- Memory Safety Patterns12.2K
- Gitops Workflow12.1K
- Python Observability12K
- Shellcheck Configuration12K
- Python Configuration12K
- Cost Optimization11.9K
- Embedding Strategies11.8K
- Data Quality Frameworks11.7K
- Startup Metrics Framework11.7K
- Go Concurrency Patterns11.7K
- Prometheus Configuration11.6K
- Billing Automation11.6K
- K8s Manifest Generator11.6K
- Python Background Jobs11.6K
- Ml Pipeline Workflow11.5K
- Context Driven Development11.5K
- Dependency Upgrade11.5K
- Competitive Landscape11.5K
- Bats Testing Patterns11.4K
- Memory Forensics11.4K
- Risk Metrics Calculation11.4K
- Python Resource Management11.4K
- Binary Analysis Patterns11.4K
- Cqrs Implementation11.4K