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startup-analyst

Analyzes market sizing, financial models, and competitive strategy for early-stage startups.

1|Updated May 10, 2026
Search Tags:#financial modeling#startup#competitive analysis#market sizing#unit economics#fundraising#tam sam som
One-click install
npx skills add https://github.com/Tgoldi/claude-skills --skill startup-analyst-tgoldi
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: startup-analyst
Source: https://github.com/Tgoldi/claude-skills/tree/main/startup-analyst
Command: npx skills add https://github.com/Tgoldi/claude-skills --skill startup-analyst-tgoldi

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Founders of pre-seed through Series A startups often lack the analytical rigor needed to size markets, build financial models, and prepare investor-ready materials, leading to weak fundraising cases and poor strategic decisions. ## Core Features & Use Cases - Market Sizing: Calculates TAM/SAM/SOM using bottom-up, top-down, and value theory methodologies with cited data sources. - Financial Modeling: Builds cohort-based revenue projections, unit economics analysis (CAC, LTV, payback), and 3-5 year scenario models. - Competitive & Team Analysis: Applies Porter's Five Forces and Blue Ocean frameworks, plus hiring plans and compensation benchmarks by stage. - Use Case: A seed-stage SaaS founder asks for a 3-year financial model with $50K MRR and receives a structured projection with documented assumptions, burn multiple calculations, and investor-relevant benchmarks. ## Quick Start Ask the analyst to calculate the TAM for your startup idea and build a 3-year financial model with unit economics.

Frequently Asked Questions about startup-analyst

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I calculate TAM, SAM, and SOM for my startup?▼

TAM/SAM/SOM calculation uses bottom-up, top-down, or value theory methodologies depending on your market. Bottom-up multiplies target customers by price, while top-down narrows industry reports to your segment, and results should be validated by triangulating multiple methods.

How do I build a financial model for a seed-stage SaaS startup?▼

A seed-stage SaaS model uses cohort-based revenue projections starting from current MRR, with assumptions for growth rate, churn, and expansion revenue. Include unit economics like CAC, LTV, and payback period, plus conservative, base, and optimistic scenarios over 3-5 years.

What metrics do Series A investors expect to see?▼

Series A investors expect proven unit economics, strong growth rate, and efficiency metrics like burn multiple, magic number, and Rule of 40. SaaS companies should highlight MRR growth, net dollar retention, and CAC payback period.

Is a CAC of $2,500 and LTV of $8,000 good for enterprise SaaS?▼

An LTV/CAC ratio of 3.2x meets the common benchmark of 3x or higher for healthy SaaS unit economics. However, you should also check CAC payback period, since enterprise sales cycles can make payback longer than the ideal 12-month target.

When should a startup not rely on top-down market sizing?▼

Top-down sizing is unreliable for new market categories where no industry reports exist, or when it produces inflated numbers that investors will challenge. In those cases, use bottom-up analysis or value theory approaches grounded in actual customer counts and pricing.

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