Market Sizing Analysis

Organization

sandbaseai

market-sizing-analysis

Calculate TAM/SAM/SOM for market opportunities using top-down, bottom-up, and value theory methodologies. Use this skill when sizing markets, estimating addressable revenue, validating market opportunity for a new venture, or building investor-ready market analysis for a startup pitch or business plan.

Overview

Publisher	sandbaseai
Repository	`sandbase-skills`
Skill name	`market-sizing-analysis`
Stars	200
Forks	21
Bundled files	4
License	Apache-2.0
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
4 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by sandbaseai on GitHub. Read the source before you install it.

Installation

Install the Market Sizing Analysis AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/sandbaseai/sandbase-skills/tree/main/marketing/market-sizing-analysis
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/sandbaseai/sandbase-skills/tree/main/marketing/market-sizing-analysis

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/sandbaseai/sandbase-skills.git /tmp/sandbase-skills
mkdir -p .claude/skills
cp -r /tmp/sandbase-skills/marketing/market-sizing-analysis .claude/skills/market-sizing-analysis

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Market Sizing Analysis in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Market Sizing Analysis on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Market Sizing Analysis is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Market Sizing Analysis

Comprehensive market sizing methodologies for calculating Total Addressable Market (TAM), Serviceable Available Market (SAM), and Serviceable Obtainable Market (SOM) for startup opportunities.

Overview

Market sizing provides the foundation for startup strategy, fundraising, and business planning. Calculate market opportunity using three complementary methodologies: top-down (industry reports), bottom-up (customer segment calculations), and value theory (willingness to pay).

Treat percentages, thresholds, named sources, and numerical results in the supporting references and worked example as illustrations, not verified defaults. For a real analysis, cite current sources with date, geography, units, and assumptions; do not invent inaccessible data.

For current market evidence, read the SandBase API map. Resolve the listed capability with sandbase_discover, inspect its returned name with sandbase_inspect, then follow execute_as to call sandbase_run(name: "<returned name>", arguments: { ... }) using only the current schema. For async results, poll sandbase_run_get with the returned run_id within the task budget; report pending or failed runs without automatically resubmitting them.

Core Concepts

The Three-Tier Market Framework

TAM (Total Addressable Market)

Total revenue opportunity if achieving 100% market share
Defines the universe of potential customers
Used for long-term vision and market validation
Example: All email marketing software revenue globally

SAM (Serviceable Available Market)

Portion of TAM targetable with current product/service
Accounts for geographic, segment, or capability constraints
Represents realistic addressable opportunity
Example: AI-powered email marketing for e-commerce in North America

SOM (Serviceable Obtainable Market)

Realistic market share achievable in 3-5 years
Accounts for competition, resources, and market dynamics
Used for financial projections and fundraising
Example: 2-5% of SAM based on competitive landscape

When to Use Each Methodology

Top-Down Analysis

Use when established market research exists
Best for mature, well-defined markets
Validates market existence and growth
Starts with industry reports and narrows down

Bottom-Up Analysis

Use when targeting specific customer segments
Best for new or niche markets
Most credible for investors
Builds from customer data and pricing

Value Theory

Use when creating new market categories
Best for disruptive innovations
Estimates based on value creation
Calculates willingness to pay for problem solution

Detailed patterns and worked examples

Detailed pattern documentation lives in references/details.md. Read that file when the navigation tier above is insufficient.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Market Sizing Analysis AI skill do?

Why use Market Sizing Analysis on TypingMind?

Because you install it once and use it with any model. Market Sizing Analysis is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Market Sizing Analysis in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/sandbaseai/sandbase-skills/tree/main/marketing/market-sizing-analysis. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Market Sizing Analysis?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Market Sizing Analysis?

As many as you like. As long as a model supports skills, you can use Market Sizing Analysis with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Market Sizing Analysis AI skill free?

Yes. It is published on GitHub by sandbaseai under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Market Sizing Analysis

Overview

Core Concepts

The Three-Tier Market Framework

When to Use Each Methodology

Detailed patterns and worked examples

Bundled files

Frequently asked questions

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