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Afrexai Market Sizing

Market Sizing — TAM/SAM/SOM Calculator

1kalin0 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install 1kalin/afrexai-market-sizing

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

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 busi...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/1kalin/afrexai-market-sizing
Version
—
Commit
665c7be3b252dc26203df7e485a8dc10b727bf3a
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

README

Market Sizing — TAM/SAM/SOM Calculator

Build defensible market sizing in minutes, not weeks. Combines top-down industry analysis with bottom-up unit economics for pitch decks, business cases, and go-to-market planning.

Features

  • TAM/SAM/SOM framework with source citations
  • Top-down + bottom-up triangulation
  • Works for any industry, geography, or business model
  • Investor-ready output format

Install

clawhub install afrexai-market-sizing

Links

Contenu extrait

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 busi...
README
# Market Sizing — TAM/SAM/SOM Calculator

Build defensible market sizing in minutes, not weeks. Combines top-down industry analysis with bottom-up unit economics for pitch decks, business cases, and go-to-market planning.

## Features

- TAM/SAM/SOM framework with source citations
- Top-down + bottom-up triangulation
- Works for any industry, geography, or business model
- Investor-ready output format

## Install

```
clawhub install afrexai-market-sizing
```

## Links

- [AfrexAI Context Packs](https://afrexai-cto.github.io/context-packs/) — Industry-specific AI agent configs ($47/pack)
- [AI Revenue Leak Calculator](https://afrexai-cto.github.io/ai-revenue-calculator/) — Find where you're losing money
- [Agent Setup Wizard](https://afrexai-cto.github.io/agent-setup/) — Configure your AI agent in 5 minutes

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