startup-analysis

Name: startup-analysis
Author: himself65

1.3kinstalls351forks

How to install startup-analysis?

himself65/finance-skills/startup-analysis

$npx -y skills add himself65/finance-skills --skill startup-analysis

Installs into the current project.

Summary

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 compe

Files · 1

View on GitHub

SKILL.md

1	# Startup Analysis
2
3	Produces a multi-perspective analysis of a startup, examining it through three lenses that each reveal different aspects of company health and potential:
4
5	1. VC Investor Lens — Is this a good investment? Market size, unit economics, growth trajectory, team quality, defensibility
6	2. Job Applicant Lens — Should I work here? Equity value, runway risk, culture signals, career growth, compensation fairness
7	3. CEO/Founder Lens — How healthy is this company? Product-market fit, burn efficiency, competitive moat, organizational health
8
9	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.
10
11	---
12
13	## Step 1: Gather Information
14
15	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.
16
17	Key data to gather:
18
19	\| Category \| What to find \|
20	\|----------\|-------------\|
21	\| Basics \| Founded year, HQ location, employee count, what the product does \|
22	\| Funding \| Total raised, last round (size, date, valuation if known), key investors \|
23	\| Product \| What they sell, who buys it, pricing model, key competitors \|
24	\| Traction \| Users, revenue (if public), growth signals, notable customers \|
25	\| Team \| Founders' backgrounds, key hires, LinkedIn headcount trends \|
26	\| Market \| Industry, market size estimates, tailwinds/headwinds \|
27	\| News \| Recent press, product launches, partnerships, layoffs, pivots \|
28
29	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).
30
31	### When information is insufficient
32
33	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.
34
35	You can also ask the user for:
36	- The company's website or landing page URL
37	- A Crunchbase, LinkedIn, or PitchBook link
38	- Any pitch deck, job listing, or press article they have
39	- Specific context they already know (e.g., "they just raised a Series A from Sequoia")
40
41	It is better to ask for a URL and produce an accurate analysis than to guess and produce a misleading one.
42
43	---
44
45	## Step 2: Determine Which Perspectives to Cover
46
47	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.
48
49	\| User's situation \| Primary perspective \| Still include \|
50	\|-----------------\|-------------------\|---------------\|
51	\| Considering investing \| VC Investor \| Job Applicant (talent signal), CEO (operational health) \|
52	\| Considering a job offer \| Job Applicant \| VC Investor (funding runway), CEO (strategic direction) \|
53	\| Running the company / advisory \| CEO/Founder \| VC Investor (how investors see you), Job Applicant (talent attractiveness) \|
54	\| General curiosity / research \| All equally \| — \|
55
56	---
57
58	## Step 3: Analyze from Each Perspective
59
60	Read the relevant reference files for the detailed framework for each perspective. These contain the specific criteria, metrics, and red/green flags to evaluate.
61
62	### VC Investor Analysis
63
64	Read `references/vc-framework.md` for the full evaluation framework.
65
66	Core areas to assess:
67	- Market opportunity — TAM/SAM/SOM, market timing, secular trends
68	- Product & traction — Product-market fit signals, growth metrics, retention
69	- **Unit econom

People who liked this also viewed

6 picks

Type

startup-analysis

1.3kinstalls351forks

View on GitHub

How to install startup-analysis?

himself65/finance-skills/startup-analysis

$npx -y skills add himself65/finance-skills --skill startup-analysis

Installs into the current project.

Summary

Files · 1

View on GitHub

SKILL.md

1	# Startup Analysis
2
3	Produces a multi-perspective analysis of a startup, examining it through three lenses that each reveal different aspects of company health and potential:
4
5	1. VC Investor Lens — Is this a good investment? Market size, unit economics, growth trajectory, team quality, defensibility
6	2. Job Applicant Lens — Should I work here? Equity value, runway risk, culture signals, career growth, compensation fairness
7	3. CEO/Founder Lens — How healthy is this company? Product-market fit, burn efficiency, competitive moat, organizational health
8
9	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.
10
11	---
12
13	## Step 1: Gather Information
14
15	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.
16
17	Key data to gather:
18
19	\| Category \| What to find \|
20	\|----------\|-------------\|
21	\| Basics \| Founded year, HQ location, employee count, what the product does \|
22	\| Funding \| Total raised, last round (size, date, valuation if known), key investors \|
23	\| Product \| What they sell, who buys it, pricing model, key competitors \|
24	\| Traction \| Users, revenue (if public), growth signals, notable customers \|
25	\| Team \| Founders' backgrounds, key hires, LinkedIn headcount trends \|
26	\| Market \| Industry, market size estimates, tailwinds/headwinds \|
27	\| News \| Recent press, product launches, partnerships, layoffs, pivots \|
28
29	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).
30
31	### When information is insufficient
32
33	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.
34
35	You can also ask the user for:
36	- The company's website or landing page URL
37	- A Crunchbase, LinkedIn, or PitchBook link
38	- Any pitch deck, job listing, or press article they have
39	- Specific context they already know (e.g., "they just raised a Series A from Sequoia")
40
41	It is better to ask for a URL and produce an accurate analysis than to guess and produce a misleading one.
42
43	---
44
45	## Step 2: Determine Which Perspectives to Cover
46
47	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.
48
49	\| User's situation \| Primary perspective \| Still include \|
50	\|-----------------\|-------------------\|---------------\|
51	\| Considering investing \| VC Investor \| Job Applicant (talent signal), CEO (operational health) \|
52	\| Considering a job offer \| Job Applicant \| VC Investor (funding runway), CEO (strategic direction) \|
53	\| Running the company / advisory \| CEO/Founder \| VC Investor (how investors see you), Job Applicant (talent attractiveness) \|
54	\| General curiosity / research \| All equally \| — \|
55
56	---
57
58	## Step 3: Analyze from Each Perspective
59
60	Read the relevant reference files for the detailed framework for each perspective. These contain the specific criteria, metrics, and red/green flags to evaluate.
61
62	### VC Investor Analysis
63
64	Read `references/vc-framework.md` for the full evaluation framework.
65
66	Core areas to assess:
67	- Market opportunity — TAM/SAM/SOM, market timing, secular trends
68	- Product & traction — Product-market fit signals, growth metrics, retention
69	- **Unit econom

People who liked this also viewed

6 picks

Type