Startup Analysis
Analyze a startup from three perspectives, VC investor, job applicant, and CEO/founder...
Install
npx skills add himself65/finance-skills --skill startup-analysis -g -a claude-code -y- Repository
- himself65/finance-skills3.5k
- Category
- Writing
- Updated
- 10d ago
- License
- MIT
- Context cost
- Mediumabout 2,042 tokens
- Runs scripts
- No, instructions only
What it does
Analyze a startup from three perspectives, VC investor, job applicant, and CEO/founder, covering market, traction, unit economics, team, defensibility, runway, equity value, culture, and competitive position, with a verdict for each. Use this skill whenever the user wants to evaluate a startup or private tech company: due diligence, whether to invest in it or join it, weighing a startup job offer, company health, outlook, or competitive position, or open-ended asks such as "what do you think of [company]" or "research [company] for me".
Startup Analysis
Produces a multi-perspective analysis of a startup, examining it through three lenses that each reveal different aspects of company health and potential:
- VC Investor Lens, Is this a good investment? Market size, unit economics, growth trajectory, team quality, defensibility
- Job Applicant Lens, Should I work here? Equity value, runway risk, culture signals, career growth, compensation fairness
- CEO/Founder Lens, How healthy is this company? Product-market fit, burn efficiency, competitive moat, organizational health
Each perspective surfaces insights the others miss. A company can be a great investment but a terrible place to work (or vice versa). The goal is to give the user a 360-degree view so they can make informed decisions.
Step 1: Gather Information
Before analyzing, collect as much public information as possible about the startup. Use web search, the company's website, Crunchbase data, press coverage, and any other available sources.
Key data to gather:
| Category | What to find |
|---|---|
| Basics | Founded year, HQ location, employee count, what the product does |
| Funding | Total raised, last round (size, date, valuation if known), key investors |
| Product | What they sell, who buys it, pricing model, key competitors |
| Traction | Users, revenue (if public), growth signals, notable customers |
| Team | Founders' backgrounds, key hires, LinkedIn headcount trends |
| Market | Industry, market size estimates, tailwinds/headwinds |
| News | Recent press, product launches, partnerships, layoffs, pivots |
If certain data isn't publicly available (e.g., revenue for private companies), note the gap and infer what you can from indirect signals (hiring pace, customer logos, web traffic proxies, job postings).
