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1kalin

Market Sizing — TAM/SAM/SOM Calculator

by 1kalin · GitHub ↗ · v1.0.0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install afrexai-market-sizing
Description
Calculate defensible TAM, SAM, and SOM market sizes using top-down and bottom-up methods with source citations for pitches and business cases.
README (SKILL.md)

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 — pre-built agent configs for Fintech, Healthcare, Legal, SaaS, and 6 more verticals ($47 each).

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Usage Guidance
This is an instruction-only market-sizing skill that appears coherent with its stated purpose. Because it may recommend using external datasets (e.g., directories or LinkedIn), do not grant your agent access to private company databases, personal accounts, or API keys unless you explicitly trust the downstream tool and understand what data will be accessed. Verify all cited sources and assumptions before using numbers in investor materials. Note the README contains promotional links to paid "context packs" — those are external commercial resources, not required for the skill to work.
Capability Analysis
Type: OpenClaw Skill Name: afrexai-market-sizing Version: 1.0.0 The skill bundle is benign. The `SKILL.md` provides clear, task-oriented instructions for an AI agent to perform market sizing, including methodology and output format, without any attempts at prompt injection, unauthorized command execution, or data exfiltration. The `README.md` and `_meta.json` files contain standard metadata and installation instructions. External links in both `SKILL.md` and `README.md` point to `afrexai-cto.github.io` for related products, which appear to be legitimate marketing links and not instructions for the agent to execute malicious actions.
Capability Assessment
Purpose & Capability
Name and SKILL.md describe TAM/SAM/SOM calculations and triangulation; the instructions and examples align with that purpose and do not request unrelated capabilities.
Instruction Scope
Instructions are scoped to market-sizing methodology (top-down, bottom-up, triangulation, and citation of public sources). One caution: the bottom-up step mentions counting reachable customers via "databases, directories, LinkedIn," which implies the agent may ask to access external datasets or accounts — the skill itself does not supply credentials or code to do so. If you grant the agent access to private company databases or a LinkedIn session, that would be outside this skill and deserves separate review.
Install Mechanism
No install spec and no code files — instruction-only. Nothing is downloaded or written to disk by the skill itself.
Credentials
The skill declares no environment variables, credentials, or config paths. There are no disproportionate or unexplained secret requests.
Persistence & Privilege
always is false and default autonomy settings apply. The skill does not request persistent system changes or elevated privileges.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install afrexai-market-sizing
  3. After installation, invoke the skill by name or use /afrexai-market-sizing
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of the Market Sizing — TAM/SAM/SOM Calculator skill. - Supports both top-down and bottom-up market sizing methodologies. - Calculates TAM, SAM, and SOM with clear definitions and outputs. - Provides source citations from government data, industry reports, and public filings. - Offers a step-by-step methodology and prompt examples for easy use. - Includes best practices and common pitfalls for defensible market sizing.
Metadata
Slug afrexai-market-sizing
Version 1.0.0
License
All-time Installs 1
Active Installs 1
Total Versions 1
Frequently Asked Questions

What is Market Sizing — TAM/SAM/SOM Calculator?

Calculate defensible TAM, SAM, and SOM market sizes using top-down and bottom-up methods with source citations for pitches and business cases. It is an AI Agent Skill for Claude Code / OpenClaw, with 761 downloads so far.

How do I install Market Sizing — TAM/SAM/SOM Calculator?

Run "/install afrexai-market-sizing" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Market Sizing — TAM/SAM/SOM Calculator free?

Yes, Market Sizing — TAM/SAM/SOM Calculator is completely free (open-source). You can download, install and use it at no cost.

Which platforms does Market Sizing — TAM/SAM/SOM Calculator support?

Market Sizing — TAM/SAM/SOM Calculator is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Market Sizing — TAM/SAM/SOM Calculator?

It is built and maintained by 1kalin (@1kalin); the current version is v1.0.0.

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