multiAI Summary Pending
Market Sizing — TAM/SAM/SOM Calculator
Build defensible market sizing for any product, pitch deck, or business case. Top-down and bottom-up methodologies combined.
3,556 stars
byopenclaw
Installation
Claude Code / Cursor / Codex
$curl -o ~/.claude/skills/afrexai-market-sizing/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/1kalin/afrexai-market-sizing/SKILL.md"
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/afrexai-market-sizing/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How Market Sizing — TAM/SAM/SOM Calculator Compares
| Feature / Agent | Market Sizing — TAM/SAM/SOM Calculator | Standard Approach |
|---|---|---|
| Platform Support | multi | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Build defensible market sizing for any product, pitch deck, or business case. Top-down and bottom-up methodologies combined.
Which AI agents support this skill?
This skill is compatible with multi.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Market Sizing — TAM/SAM/SOM Calculator Build defensible market sizing for any product, pitch deck, or business case. Top-down and bottom-up methodologies combined. ## What You Get - **TAM** (Total Addressable Market) — entire market if you had 100% share - **SAM** (Serviceable Addressable Market) — segment you can actually reach - **SOM** (Serviceable Obtainable Market) — realistic capture in 12-36 months - **Bottom-up validation** — unit economics × reachable customers - **Source citations** — government data, industry reports, public filings ## How to Use Tell me your product/service and target customer. I'll build the full sizing. **Example prompts:** - "Size the market for AI-powered contract review for mid-market law firms in the US" - "TAM/SAM/SOM for a SaaS helpdesk targeting e-commerce brands doing $1M-$50M revenue" - "Market size for automated bookkeeping for UK SMBs" ## Methodology ### Top-Down 1. Start with total industry revenue (cite source) 2. Filter by geography, segment, company size 3. Apply technology adoption rates 4. Result = SAM ### Bottom-Up 1. Count reachable customers (databases, directories, LinkedIn) 2. Multiply by realistic ACV (annual contract value) 3. Apply conversion rates at each funnel stage 4. Result = SOM ### Triangulation Compare top-down and bottom-up. If they're within 2-3x of each other, the sizing holds. If wildly different, investigate assumptions. ## Output Format ``` ## Market Sizing: [Product/Service] ### TAM — $X.XB [Total market calculation with sources] ### SAM — $XXM [Filtered by geography + segment + tech adoption] ### SOM (12-month) — $X.XM [Bottom-up: customers × ACV × conversion] ### Key Assumptions - [Assumption 1 + source] - [Assumption 2 + source] ### Risks to Sizing - [What could make this smaller] - [What could make this bigger] ``` ## When to Use This - Pitch decks and investor presentations - Go-to-market strategy planning - New product feasibility analysis - Board presentations and business cases - Competitive positioning ## Pro Tip Most founders oversize their TAM and undersize their SOM. Investors see through inflated numbers instantly. A tight, well-sourced $50M SAM beats a hand-wavy $10B TAM every time. --- Need the full business context pack for your industry? **[Browse AfrexAI Context Packs](https://afrexai-cto.github.io/context-packs/)** — pre-built agent configs for Fintech, Healthcare, Legal, SaaS, and 6 more verticals ($47 each). Calculate what AI automation could save your business: **[AI Revenue Leak Calculator](https://afrexai-cto.github.io/ai-revenue-calculator/)**