tam-sam-som-calculator

Calculate TAM, SAM, and SOM with citation-backed assumptions into Markdown summaries.

Updated Mar 30, 2026
One-click install
npx skills add https://github.com/omeragaakbas/zoyare --skill tam-sam-som-calculator-omeragaakbas
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tam-sam-som-calculator
Source: https://github.com/omeragaakbas/zoyare/tree/main/.claude/skills/tam-sam-som-calculator
Command: npx skills add https://github.com/omeragaakbas/zoyare --skill tam-sam-som-calculator-omeragaakbas

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Calculate TAM, SAM, and SOM with citation-backed assumptions to support defensible market sizing for product ideas, GTM plans, and investor-ready analyses.

Core Features & Use Cases

  • Interactive, deterministic TAM/SAM/SOM calculations from either a full TAM value or population x ARPU inputs.
  • Outputs a structured Markdown summary with sources, assumptions, and step-by-step math.
  • Includes a ready-to-use template for documenting market size and supporting data citations.

Quick Start

Run the market-sizing.py script with population and ARPU, or supply a TAM value directly to generate a Markdown summary of TAM, SAM, and SOM.

Frequently Asked Questions about tam-sam-som-calculator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I calculate TAM, SAM, and SOM for an investor pitch?

Calculate TAM, SAM, and SOM for an investor pitch using a transparent, citation-backed framework that outputs a structured Markdown summary with sources, assumptions, and step-by-step math.

What is the best way to size a market using population and ARPU?

Market sizing using population and ARPU is handled by running a calculation script that multiplies the inputs to generate a defensible TAM, SAM, and SOM breakdown formatted in Markdown.

Can I use a pre-calculated TAM value to determine SAM and SOM?

Yes, you can supply a full TAM value directly to the market-sizing calculation, which then derives the SAM and SOM and produces a formatted summary with supporting data citations.

Does this market-sizing approach support GTM planning for software products?

Yes, this market-sizing approach supports GTM planning across software, services, and consumer products by applying a deterministic calculation framework with documented assumptions and citations.

How do I document market research assumptions with citations?

Document market research assumptions with citations by utilizing the built-in template that outputs a structured Markdown summary detailing sources, step-by-step math, and supporting data citations.

Why do I need citation-backed assumptions for product market sizing?

Citation-backed assumptions for product market sizing are needed to build defensible, transparent analyses that withstand investor scrutiny and validate GTM plans with documented data sources.