Market Sizer

by NeverSight

skill

Use this skill when users need to calculate market size (TAM/SAM/SOM), assess market opportunity, validate market potential, or determine if a market is big enough to pursue. Activates for "how big is the market," "TAM," "market sizing," or market opportunity questions.

Skill Details


name: market-sizer description: Use this skill when users need to calculate market size (TAM/SAM/SOM), assess market opportunity, validate market potential, or determine if a market is big enough to pursue. Activates for "how big is the market," "TAM," "market sizing," or market opportunity questions. version: 1.0.0 tags:

  • business
  • hexa
  • market
  • tam
  • sam
  • som
  • sizing
  • opportunity auto_activate: true

Market Sizer - TAM/SAM/SOM Calculator

Overview

Market sizing specialist applying Hexa's practical market assessment methodology. Help founders determine if their target market is big enough using rigorous bottom-up AND top-down analysis.

Hexa's Core Principle: "Make sure you can approximate how big the market is—ideally by confronting bottom-up and top-down analysis."

When This Activates

  • "how big is the market"
  • TAM, SAM, or SOM questions
  • "is the market big enough"
  • Validating market opportunity
  • Investor conversations about market
  • "size this opportunity"

Core Definitions

Term Definition What It Means
TAM Total Addressable Market Everyone who could theoretically buy
SAM Serviceable Available Market The segment you can actually reach
SOM Serviceable Obtainable Market What you can realistically capture in 3-5 years

The Framework: Dual-Analysis

Market Size = Bottom-Up Analysis + Top-Down Analysis + Timing Assessment

Bottom-Up (Build from Units)

TAM = Total Potential Customers × Annual Revenue Per Customer
SAM = TAM × Percentage You Can Reach
SOM = SAM × Realistic Market Share (1-5% years 1-3)

Top-Down (Start from Industry)

Start with industry reports, narrow to your slice.

Common Sources: Gartner, Forrester, Statista, IBISWorld, CB Insights

Market Size Adequacy Test

Your Goal Required SOM Required SAM
Lifestyle ($500K-2M/year) $500K-2M $10M+
Venture-scale ($10M+ ARR) $10M+ $100M+
Unicorn potential ($100M+) $100M+ $1B+

The 10% Rule: If you captured 10% of SAM, would that be interesting?

Sanity Check

The two methods should be within 2-3x of each other.

Variance Meaning Action
< 50% Good alignment Proceed with confidence
50-200% Reasonable Investigate discrepancy
> 200% Major misalignment One method is wrong

Market Stage Assessment

Stage Characteristics Implication
Emerging < $100M, few players High risk, high reward
Growing 20%+ growth, new entrants Good timing
Mature < 10% growth, clear leaders Need strong wedge
Declining Negative growth Avoid unless transforming

Integration

Skill When to Use
idea-validator Validate the idea for this market
startup-icp-definer Define ideal customer in this market
competitive-intelligence-analyst Deep dive on competitors
fundraise-advisor Present market size to investors

For complete bottom-up/top-down worksheets, market dynamics assessment, timing analysis framework, output format template, market size benchmarks by business type and ACV, and common mistakes to avoid, see: references/full-guide.md

Related Skills

Attack Tree Construction

Build comprehensive attack trees to visualize threat paths. Use when mapping attack scenarios, identifying defense gaps, or communicating security risks to stakeholders.

skill

Grafana Dashboards

Create and manage production Grafana dashboards for real-time visualization of system and application metrics. Use when building monitoring dashboards, visualizing metrics, or creating operational observability interfaces.

skill

Matplotlib

Foundational plotting library. Create line plots, scatter, bar, histograms, heatmaps, 3D, subplots, export PNG/PDF/SVG, for scientific visualization and publication figures.

skill

Scientific Visualization

Create publication figures with matplotlib/seaborn/plotly. Multi-panel layouts, error bars, significance markers, colorblind-safe, export PDF/EPS/TIFF, for journal-ready scientific plots.

skill

Seaborn

Statistical visualization. Scatter, box, violin, heatmaps, pair plots, regression, correlation matrices, KDE, faceted plots, for exploratory analysis and publication figures.

skill

Shap

Model interpretability and explainability using SHAP (SHapley Additive exPlanations). Use this skill when explaining machine learning model predictions, computing feature importance, generating SHAP plots (waterfall, beeswarm, bar, scatter, force, heatmap), debugging models, analyzing model bias or fairness, comparing models, or implementing explainable AI. Works with tree-based models (XGBoost, LightGBM, Random Forest), deep learning (TensorFlow, PyTorch), linear models, and any black-box model

skill

Pydeseq2

Differential gene expression analysis (Python DESeq2). Identify DE genes from bulk RNA-seq counts, Wald tests, FDR correction, volcano/MA plots, for RNA-seq analysis.

skill

Query Writing

For writing and executing SQL queries - from simple single-table queries to complex multi-table JOINs and aggregations

skill

Pydeseq2

Differential gene expression analysis (Python DESeq2). Identify DE genes from bulk RNA-seq counts, Wald tests, FDR correction, volcano/MA plots, for RNA-seq analysis.

skill

Scientific Visualization

Meta-skill for publication-ready figures. Use when creating journal submission figures requiring multi-panel layouts, significance annotations, error bars, colorblind-safe palettes, and specific journal formatting (Nature, Science, Cell). Orchestrates matplotlib/seaborn/plotly with publication styles. For quick exploration use seaborn or plotly directly.

skill

Skill Information

Category:Skill
Version:1.0.0
Last Updated:1/28/2026