What is the difference between top-down and bottom-up sizing in this skill?

Top-down uses aggregate industry data filtered by your target segments, while bottom-up calculates size based on your specific ARPU and total addressable customer count.

Can this skill analyze my existing pitch deck?

Yes, the market-sizing skill can process PDF, PPTX, and Markdown files to extract existing claims and data for validation.

Does it use real-time market data?

It employs specialized sub-agents to perform web research, finding recent industry reports, analyst estimates, and segment data to validate your model.

Does it provide visual charts for my deck?

The skill generates a final report that includes SVG-based visualizations of your TAM/SAM/SOM and sensitivity analysis which can be used in presentations.

Market Sizing Analysis

Name: Market Sizing Analysis
Author: yaniv-golan

byyaniv-golan

0•

Data Science & ML

Builds defensible TAM/SAM/SOM market models with external validation and sensitivity testing for startup fundraising.

The Market Sizing skill empowers startup founders and developers to construct rigorous, investor-ready market analyses directly within Claude. It automates the extraction of data from pitch decks and financial models, conducts targeted web research to validate assumptions against industry benchmarks, and applies dual top-down and bottom-up methodologies. By including sensitivity testing and a 22-item quality checklist, it ensures that TAM, SAM, and SOM figures are not just large, but credible and defensible during due diligence.

Key Features

010 GitHub stars

02Dual-methodology TAM/SAM/SOM calculations (top-down and bottom-up)

03Automated data extraction from pitch decks, spreadsheets, and PDFs

04Sensitivity and stress-testing for low, base, and high-case scenarios

05Comprehensive report generation with SVG visualizations and JSON artifacts

06External validation via web research sub-agents for industry benchmarks

Use Cases

01Preparing defensible market sizing slides for seed and Series A fundraising

02Validating internal sales projections against external industry data

03Stress-testing business model assumptions before entering new geographic markets

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add yaniv-golan/founderskills-test market-sizing

For use in Claude.ai and ChatGPT

Key Features

010 GitHub stars

02Dual-methodology TAM/SAM/SOM calculations (top-down and bottom-up)

03Automated data extraction from pitch decks, spreadsheets, and PDFs

04Sensitivity and stress-testing for low, base, and high-case scenarios

05Comprehensive report generation with SVG visualizations and JSON artifacts

06External validation via web research sub-agents for industry benchmarks

Use Cases

01Preparing defensible market sizing slides for seed and Series A fundraising

02Validating internal sales projections against external industry data

03Stress-testing business model assumptions before entering new geographic markets

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add yaniv-golan/founderskills-test market-sizing

For use in Claude.ai and ChatGPT