What are the requirements to run the Market Size skill?

It requires Claude Code and Python 3.x, as it uses Python scripts for the mathematical modeling and report formatting.

What methods does this skill use for market sizing?

It uses both top-down (macro-market data) and bottom-up (customer count x ARPU) methodologies to derive a consensus market range.

How does it identify competitor tech stacks?

The skill analyzes public data such as job postings, GitHub repositories, and website fingerprints to identify frameworks, databases, and cloud infrastructure.

What criteria does it use to flag an opportunity as 'venture scale'?

It follows standard VC rules of thumb, flagging markets with a TAM over $1 billion and an annual growth rate (CAGR) exceeding 15% as high-potential.

VC Market Intelligence

Name: VC Market Intelligence
Author: davepoon

bydavepoon

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2,841

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Data Science & ML

Performs rigorous TAM/SAM/SOM market sizing, competitive landscape mapping, and technical stack analysis for venture capital evaluation.

This skill empowers venture capitalists, founders, and market researchers to conduct professional-grade due diligence directly within Claude Code. It automates the complex process of gathering market data via targeted web searches, calculating Total Addressable Market (TAM) through both top-down and bottom-up methodologies, and mapping the competitive landscape. Beyond standard financial metrics, it provides a deep-dive tech stack analysis of competitors to assess technical maturity and migration risks. The skill concludes with a standard VC Market Rule Check, instantly flagging whether an opportunity meets institutional investment thresholds based on market size and growth rates.

Key Features

01Comprehensive competitive mapping including funding, estimated revenue, and differentiation

02Automated VC-scale opportunity flagging based on market size and CAGR benchmarks

03Automated data extraction from top-tier research sources like Statista and Grand View Research

04Deep-dive technical audits of competitors identifying frontend, backend, and infrastructure stacks

052,841 GitHub stars

06Dual-method TAM/SAM/SOM calculation using top-down and bottom-up modeling

Use Cases

01Product managers conducting competitive intelligence and technical benchmarking for new features

02VC analysts performing rapid due diligence and market validation on prospective investments

03Founders preparing pitch decks and investment materials for seed or Series A rounds

Key Features

01Comprehensive competitive mapping including funding, estimated revenue, and differentiation

02Automated VC-scale opportunity flagging based on market size and CAGR benchmarks

03Automated data extraction from top-tier research sources like Statista and Grand View Research

04Deep-dive technical audits of competitors identifying frontend, backend, and infrastructure stacks

052,841 GitHub stars

06Dual-method TAM/SAM/SOM calculation using top-down and bottom-up modeling

Use Cases

01Product managers conducting competitive intelligence and technical benchmarking for new features

02VC analysts performing rapid due diligence and market validation on prospective investments

03Founders preparing pitch decks and investment materials for seed or Series A rounds