Startup Analysis

himself65/finance-skills/plugins/startup-tools/skills/startup-analysis

作者 himself6501fc7b4b34ae無授權條款3.3K 個星標收錄於 2026年10月8日更新於 2026年10月8日儲存庫4 天前更新

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".

AI 產生的概覽

從創投、求職者和 CEO 三個角度分析新創公司,給出結論並進行跨角度綜合。

功能
蒐集新創公司的公開資訊,並從創投投資人、求職者和 CEO/創辦人三個角度進行評估。每個角度涵蓋市場、成長動能、單位經濟、團隊、防禦性、現金跑道、股權價值、文化和競爭地位等方面,並給出結論。接著綜合各角度的一致與分歧之處,給出總體建議。最終輸出一份以公司名稱命名的易讀報告。
適用情境
適用於評估新創公司或未上市科技公司,例如盡職調查、決定是否投資或加入、權衡工作邀約,或評估公司健康狀況與前景。也適合諸如詢問你對某公司的看法或代為研究某公司這類開放式請求。
執行需求
需要網路搜尋以及公司官網、Crunchbase、新聞報導等公開來源的存取權限。當公開資訊不足時,可能會向使用者索取網站連結或其他連結。不附帶指令碼,依賴三個參考框架檔案。

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:

CategoryWhat to find
BasicsFounded year, HQ location, employee count, what the product does
FundingTotal raised, last round (size, date, valuation if known), key investors
ProductWhat they sell, who buys it, pricing model, key competitors
TractionUsers, revenue (if public), growth signals, notable customers
TeamFounders' backgrounds, key hires, LinkedIn headcount trends
MarketIndustry, market size estimates, tailwinds/headwinds
NewsRecent 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. If web search does not return enough information to produce a meaningful analysis (e.g., you can't determine what the company does, who founded it, or how it's funded), ask the user to provide the company's website URL before proceeding. The company website is often the single most information-dense source, and reading it directly (about page, pricing page, team page, blog) can fill most gaps.

You can also ask the user for:

  • The company's website or landing page URL
  • A Crunchbase, LinkedIn, or PitchBook link
  • Any pitch deck, job listing, or press article they have
  • Specific context they already know (e.g., "they just raised a Series A from Sequoia")

It is better to ask for a URL and produce an accurate analysis than to guess and produce a misleading one.


Step 2: Determine Which Perspectives to Cover

By default, produce all three perspectives. If the user specifies a particular angle (e.g., "I'm considering joining them" or "should I invest"), emphasize that perspective but still include the others as context — they often reveal relevant information.

User's situationPrimary perspectiveStill include
Considering investingVC InvestorJob Applicant (talent signal), CEO (operational health)
Considering a job offerJob ApplicantVC Investor (funding runway), CEO (strategic direction)
Running the company / advisoryCEO/FounderVC Investor (how investors see you), Job Applicant (talent attractiveness)
General curiosity / researchAll equally—

Step 3: Analyze from Each Perspective

Read the relevant reference files for the detailed framework for each perspective. These contain the specific criteria, metrics, and red/green flags to evaluate.

VC Investor Analysis

Read references/vc-framework.md for the full evaluation framework.

Core areas to assess:

  • Market opportunity — TAM/SAM/SOM, market timing, secular trends
  • Product & traction — Product-market fit signals, growth metrics, retention
  • Unit economics — CAC, LTV, margins, burn multiple, path to profitability
  • Team — Founder-market fit, technical depth, hiring ability
  • Defensibility — Moats (network effects, switching costs, data, brand, regulatory)
  • Deal terms context — Stage-appropriate valuation, comparable exits

Produce a clear Investment Thesis (bull case) and Key Risks (bear case). End with a verdict: Strong Pass / Lean Pass / Lean Invest / Strong Invest, with reasoning.

Job Applicant Analysis

Read references/job-applicant-framework.md for the full evaluation framework.

Core areas to assess:

  • Financial stability — Runway, burn rate, funding trajectory, revenue health
  • Equity value — Option/equity package analysis, dilution risk, liquidation preferences, realistic exit scenarios
  • Career growth — Role scope, learning opportunity, resume value, mentorship
  • Culture & work-life — Glassdoor signals, employee tenure data, leadership style
  • Product & market risk — Is PMF real? What happens if the startup fails?
  • Red flags — High turnover, constant pivots, vague metrics, founders cashing out

Produce a clear Why Join (pros) and Watch Out For (risks). End with a verdict: Strong Pass / Lean Pass / Lean Join / Strong Join, with reasoning.

CEO/Founder Analysis

Read references/ceo-framework.md for the full evaluation framework.

Core areas to assess:

  • Product-market fit — Retention curves, organic growth, Sean Ellis test proxy
  • Growth efficiency — Burn multiple, CAC payback, magic number
  • Competitive position — Moat strength, competitive dynamics, market share trajectory
  • Organizational health — Hiring pipeline, attrition, team capability gaps
  • Fundraising readiness — Metrics vs. benchmarks for next round, investor narrative
  • Strategic risks — Platform dependency, customer concentration, regulatory exposure

Produce a clear Strengths to Double Down On and Urgent Areas to Address. End with a health grade: Critical / Struggling / Stable / Strong / Exceptional, with reasoning.


Step 4: Synthesize Cross-Perspective Insights

After the three analyses, add a synthesis section that highlights:

  1. Where perspectives agree — If all three lenses flag the same strength or weakness, it's probably real
  2. Where perspectives diverge — A company can be VC-attractive (huge market) but employee-risky (high burn, low runway). Call these out.
  3. The bottom line — One paragraph summary: what kind of company is this, what's its most likely trajectory, and what should the user do based on their stated (or implied) situation

Step 5: Present the Report

Write it as a scannable report titled [Company Name] — Startup Analysis:

  • Summary — a short overview that states the three verdicts up front.
  • One section per perspective, in the order that fits the user's situation from Step 2. Each covers the core areas from Step 3 with the evidence behind every judgment, and ends with its verdict on the scale defined there — Investment Verdict (Strong Pass / Lean Pass / Lean Invest / Strong Invest), Employment Verdict (Strong Pass / Lean Pass / Lean Join / Strong Join), or Health Grade (Critical / Struggling / Stable / Strong / Exceptional) — followed by the reasoning.
  • Cross-perspective synthesis — where the lenses agree, where they diverge, and the bottom line.

Scale each section to the evidence: where financials or other areas are opaque, say so in a line and spend the space on what's observable, rather than filling a heading for its own sake. Don't fabricate metrics; make informed inferences and state your confidence level.


Reference Files

  • references/vc-framework.md — VC due diligence checklist with metrics, benchmarks, and red/green flags
  • references/job-applicant-framework.md — Job seeker evaluation framework with equity analysis and culture assessment
  • references/ceo-framework.md — CEO self-assessment framework with operational metrics and strategic analysis

Read these when you need the detailed criteria and benchmarks for each perspective.

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來源:himself65/finance-skills位於plugins/startup-tools/skills/startup-analysis提交01fc7b4

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