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VC investor, job applicant, and CEO/founder

Startup analysis

by himself65 · MIT license · ★ 3,347 on GitHub · updated Aug 27

Startup analysis cover

Analyze a startup from three perspectives: VC investor, job applicant, and CEO/founder. Use this skill whenever the user wants to evaluate a startup, assess whether to invest in or join a startup, do due diligence, evaluate a job offer…

---
name: startup-analysis
description: >
  Analyze a startup from three perspectives: VC investor, job applicant, and CEO/founder.
  Use this skill whenever the user wants to evaluate a startup, assess whether to invest in
  or join a startup, do due diligence, evaluate a job offer from a startup, understand
  a startup's competitive position, or assess company health and trajectory.
  Triggers: "analyze this startup", "should I join [company]", "is [company] a good investment",
  "evaluate [company]", "due diligence on [company]", "what do you think of [startup]",
  "should I take this startup job offer", "how healthy is [company]", "startup assessment",
  "company analysis", "is [company] worth joining", "what's the outlook for [company]",
  "research [company] for me", any mention of evaluating or assessing a startup or tech company
  from investment, career, or strategic perspectives — provide all three perspectives by default.
---

# 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:

Overview

Produces a multi-perspective analysis of a startup, examining it through three lenses that each reveal different aspects of company health and potential:

Manual install (npx, ZIP)
Claude Codenpx skills add himself65/finance-skills --skill startup-analysis -g -a claude-code
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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. 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 situation Primary perspective Still include
Considering investing VC Investor Job Applicant (talent signal), CEO (operational health)
Considering a job offer Job Applicant VC Investor (funding runway), CEO (strategic direction)
Running the company / advisory CEO/Founder VC Investor (how investors see you), Job Applicant (talent attractiveness)
General curiosity / research All 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

Structure the output as a clean, scannable report:

# [Company Name] — Startup Analysis

## Summary
[2-3 sentence overview with key verdict]

## VC Investor Perspective
### Market Opportunity
### Product & Traction
### Unit Economics (if available)
### Team
### Defensibility
### Investment Verdict: [Strong Pass / Lean Pass / Lean Invest / Strong Invest]
[Reasoning]

## Job Applicant Perspective
### Financial Stability
### Equity Value Assessment
### Career Growth Potential
### Culture & Work-Life Signals
### Risk Factors
### Employment Verdict: [Strong Pass / Lean Pass / Lean Join / Strong Join]
[Reasoning]

## CEO/Founder Perspective
### Product-Market Fit Assessment
### Growth Efficiency
### Competitive Position
### Organizational Health
### Strategic Risks
### Health Grade: [Critical / Struggling / Stable / Strong / Exceptional]
[Reasoning]

## Cross-Perspective Synthesis
### Points of Agreement
### Points of Divergence
### Bottom Line

Adapt section depth to available data — if financials are completely opaque, say so and focus on what's observable. Don't fabricate metrics, but do 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.

1---
2name: startup-analysis
3description: >
4 Analyze a startup from three perspectives: VC investor, job applicant, and CEO/founder.
5 Use this skill whenever the user wants to evaluate a startup, assess whether to invest in
6 or join a startup, do due diligence, evaluate a job offer from a startup, understand
7 a startup's competitive position, or assess company health and trajectory.
8 Triggers: "analyze this startup", "should I join [company]", "is [company] a good investment",
9 "evaluate [company]", "due diligence on [company]", "what do you think of [startup]",
10 "should I take this startup job offer", "how healthy is [company]", "startup assessment",
11 "company analysis", "is [company] worth joining", "what's the outlook for [company]",
12 "research [company] for me", any mention of evaluating or assessing a startup or tech company
13 from investment, career, or strategic perspectives — provide all three perspectives by default.
14---
15 
16# Startup Analysis
17 
18Produces a multi-perspective analysis of a startup, examining it through three lenses that each reveal different aspects of company health and potential:
19 
201. **VC Investor Lens** — Is this a good investment? Market size, unit economics, growth trajectory, team quality, defensibility
212. **Job Applicant Lens** — Should I work here? Equity value, runway risk, culture signals, career growth, compensation fairness
223. **CEO/Founder Lens** — How healthy is this company? Product-market fit, burn efficiency, competitive moat, organizational health
23 
24Each 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.
25 
26---
27 
28## Step 1: Gather Information
29 
30Before 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.
31 
32**Key data to gather:**
33 
34| Category | What to find |
35|----------|-------------|
36| **Basics** | Founded year, HQ location, employee count, what the product does |
37| **Funding** | Total raised, last round (size, date, valuation if known), key investors |
38| **Product** | What they sell, who buys it, pricing model, key competitors |
39| **Traction** | Users, revenue (if public), growth signals, notable customers |
40| **Team** | Founders' backgrounds, key hires, LinkedIn headcount trends |
41| **Market** | Industry, market size estimates, tailwinds/headwinds |
42| **News** | Recent press, product launches, partnerships, layoffs, pivots |
43 
44If 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).
45 
46### When information is insufficient
47 
48Many 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.
49 
50You can also ask the user for:
51- The company's website or landing page URL
52- A Crunchbase, LinkedIn, or PitchBook link
53- Any pitch deck, job listing, or press article they have
54- Specific context they already know (e.g., "they just raised a Series A from Sequoia")
55 
56It is better to ask for a URL and produce an accurate analysis than to guess and produce a misleading one.
57 
58---
59 
60## Step 2: Determine Which Perspectives to Cover
61 
62By 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.
63 
64| User's situation | Primary perspective | Still include |
65|-----------------|-------------------|---------------|
66| Considering investing | VC Investor | Job Applicant (talent signal), CEO (operational health) |
67| Considering a job offer | Job Applicant | VC Investor (funding runway), CEO (strategic direction) |
68| Running the company / advisory | CEO/Founder | VC Investor (how investors see you), Job Applicant (talent attractiveness) |
69| General curiosity / research | All equally | — |
70 
71---
72 
73## Step 3: Analyze from Each Perspective
74 
75Read the relevant reference files for the detailed framework for each perspective. These contain the specific criteria, metrics, and red/green flags to evaluate.
76 
77### VC Investor Analysis
78 
79Read `references/vc-framework.md` for the full evaluation framework.
80 
81Core areas to assess:
82- **Market opportunity** — TAM/SAM/SOM, market timing, secular trends
83- **Product & traction** — Product-market fit signals, growth metrics, retention
84- **Unit economics** — CAC, LTV, margins, burn multiple, path to profitability
85- **Team** — Founder-market fit, technical depth, hiring ability
86- **Defensibility** — Moats (network effects, switching costs, data, brand, regulatory)
87- **Deal terms context** — Stage-appropriate valuation, comparable exits
88 
89Produce 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.
90 
91### Job Applicant Analysis
92 
93Read `references/job-applicant-framework.md` for the full evaluation framework.
94 
95Core areas to assess:
96- **Financial stability** — Runway, burn rate, funding trajectory, revenue health
97- **Equity value** — Option/equity package analysis, dilution risk, liquidation preferences, realistic exit scenarios
98- **Career growth** — Role scope, learning opportunity, resume value, mentorship
99- **Culture & work-life** — Glassdoor signals, employee tenure data, leadership style
100- **Product & market risk** — Is PMF real? What happens if the startup fails?
101- **Red flags** — High turnover, constant pivots, vague metrics, founders cashing out
102 
103Produce a clear **Why Join** (pros) and **Watch Out For** (risks). End with a verdict: Strong Pass / Lean Pass / Lean Join / Strong Join, with reasoning.
104 
105### CEO/Founder Analysis
106 
107Read `references/ceo-framework.md` for the full evaluation framework.
108 
109Core areas to assess:
110- **Product-market fit** — Retention curves, organic growth, Sean Ellis test proxy
111- **Growth efficiency** — Burn multiple, CAC payback, magic number
112- **Competitive position** — Moat strength, competitive dynamics, market share trajectory
113- **Organizational health** — Hiring pipeline, attrition, team capability gaps
114- **Fundraising readiness** — Metrics vs. benchmarks for next round, investor narrative
115- **Strategic risks** — Platform dependency, customer concentration, regulatory exposure
116 
117Produce a clear **Strengths to Double Down On** and **Urgent Areas to Address**. End with a health grade: Critical / Struggling / Stable / Strong / Exceptional, with reasoning.
118 
119---
120 
121## Step 4: Synthesize Cross-Perspective Insights
122 
123After the three analyses, add a synthesis section that highlights:
124 
1251. **Where perspectives agree** — If all three lenses flag the same strength or weakness, it's probably real
1262. **Where perspectives diverge** — A company can be VC-attractive (huge market) but employee-risky (high burn, low runway). Call these out.
1273. **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
128 
129---
130 
131## Step 5: Present the Report
132 
133Structure the output as a clean, scannable report:
134 
135```
136# [Company Name] — Startup Analysis
137 
138## Summary
139[2-3 sentence overview with key verdict]
140 
141## VC Investor Perspective
142### Market Opportunity
143### Product & Traction
144### Unit Economics (if available)
145### Team
146### Defensibility
147### Investment Verdict: [Strong Pass / Lean Pass / Lean Invest / Strong Invest]
148[Reasoning]
149 
150## Job Applicant Perspective
151### Financial Stability
152### Equity Value Assessment
153### Career Growth Potential
154### Culture & Work-Life Signals
155### Risk Factors
156### Employment Verdict: [Strong Pass / Lean Pass / Lean Join / Strong Join]
157[Reasoning]
158 
159## CEO/Founder Perspective
160### Product-Market Fit Assessment
161### Growth Efficiency
162### Competitive Position
163### Organizational Health
164### Strategic Risks
165### Health Grade: [Critical / Struggling / Stable / Strong / Exceptional]
166[Reasoning]
167 
168## Cross-Perspective Synthesis
169### Points of Agreement
170### Points of Divergence
171### Bottom Line
172```
173 
174Adapt section depth to available data — if financials are completely opaque, say so and focus on what's observable. Don't fabricate metrics, but do make informed inferences and state your confidence level.
175 
176---
177 
178## Reference Files
179 
180- `references/vc-framework.md` — VC due diligence checklist with metrics, benchmarks, and red/green flags
181- `references/job-applicant-framework.md` — Job seeker evaluation framework with equity analysis and culture assessment
182- `references/ceo-framework.md` — CEO self-assessment framework with operational metrics and strategic analysis
183 
184Read these when you need the detailed criteria and benchmarks for each perspective.
185 
View all files on GitHub →

Details

Updated
Aug 27, 2026
License
MIT
Stars on the repo
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Source
himself65/finance-skills ↗
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