Agent skill · marketing growth · himself65
startup-analysis
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".
Why this skill is useful
Provides a structured framework for evaluating startups that includes specific metrics and perspectives not commonly known to AI.
What it needs
About 5k tokens when loaded. Last updated 2026-08-05. 3,127 stars on the source repository.
What this skill does
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: 1. VC Investor Lens — Is this a good investment? Market size, unit economics, growth trajectory, team quality, defensibility 2. Job Applicant Lens — Should I work here? Equity value, runway risk, culture signals, career growth, compensation fairness 3. 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). When information is insufficient Many startups — especially early-stage or niche ones — have limited public presence. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills himself65/startup-analysis