Venture Capital Intelligence
Comprehensive intelligence for venture capital and startups with integrated skills for analysis and decision-making.
Venture Capital Intelligence
Your complete intelligence layer for venture capital and startups. Built with love & rationality for the venture capital & startup ecosystem.
A Claude plugin with 9 skills — 3 pure Claude reasoning · 6 Claude + Python scripts. Built from the best open-source VC tools.
Works for: VCs · Founders · Angels · PE firms · Family offices · Accelerators
Author: Santhosh Gandhi · Version: 1.0.0
Try Asking
■ Should I take a meeting with this B2B SaaS startup? [description]
■ What does this term sheet clause actually mean for my ownership?
■ Is the robotics market venture-scale? Give me TAM/SAM/SOM.
■ Run a hard screen on Zepto — Series D, B2C quick commerce, India.
■ ARR: $2M, 15% MoM growth, 72% gross margin. What's this worth?
■ I raised a $500K SAFE at $5M cap, then $2M seed at $8M pre. Who owns what at a $20M exit?
■ Scan Deel — are they raising again? What signals do you see?
■ Write my Q1 LP update. Here's my fund data: [values]
Install on Claude Code
# Step 1 — Add the marketplace (one-time setup)
claude plugin marketplace add isanthoshgandhi/venture-capital-intelligence
# Step 2 — Install the plugin
claude plugin install venture-capital-intelligence
How to Use
Two ways to trigger any skill:
- Explicit command — type
/venture-capital-intelligence:[skill-name]directly (recommended) - Natural language — describe what you want and Claude will suggest the right command
All Skills — Quick Reference
🟢 Claude Only = works on claude.ai + Claude Code, instant reasoning 🔵 Claude + Python = Claude Code only, runs Python scripts, deterministic output with JSON audit trail
| # | Skill | Explicit Command | What to Pass | Runs On |
|---|---|---|---|---|
| 1 | Soft Startup Screen | /venture-capital-intelligence:soft-screening-startup | Company name, stage, sector, 2–3 sentence description | 🟢 Claude Only |
| 2 | Analyze Pitch Deck | /venture-capital-intelligence:analyze-pitch-deck | Paste deck text or describe each slide | 🟢 Claude Only |
| 3 | Explain Equity Terms | /venture-capital-intelligence:explain-equity-terms | Paste clause, term, or ask any SAFE/term sheet question | 🟢 Claude Only |
| 4 | Hard Startup Screen | /venture-capital-intelligence:hard-screening-startup | Company name, stage, sector, traction numbers, team background | 🔵 Claude + Python |
| 5 | Financial Model | /venture-capital-intelligence:financial-model | ARR, MoM growth %, gross margin %, burn/month, stage | 🔵 Claude + Python |
| 6 | Market Size | /venture-capital-intelligence:market-size | Target customer, geography, product/price point, sector | 🔵 Claude + Python |
| 7 | Cap Table Waterfall | /venture-capital-intelligence:cap-table-waterfall | SAFE amounts + caps, round sizes + pre-money, exit amount | 🔵 Claude + Python |
| 8 | Deal Sourcing Signals | /venture-capital-intelligence:deal-sourcing-signals | Company name (Claude searches the web for signals) | 🔵 Claude + Python |
| 9 | Fund Operations | /venture-capital-intelligence:fund-operations | Invested capital, portfolio values, distributions, fund size | 🔵 Claude + Python |
Input Examples — Copy & Paste Ready
1 — Soft Startup Screen 🟢
/venture-capital-intelligence:soft-screening-startup
Company: Acme AI — Seed stage, B2B SaaS, AI-powered contract review.
Team: Ex-Stripe CTO + Stanford NLP PhD. ARR: $85K, 20% MoM. Should I take a meeting?
2 — Analyze Pitch Deck 🟢
/venture-capital-intelligence:analyze-pitch-deck
Here's our deck: [paste slide-by-slide content]. Be brutal — what would a VC hate?
3 — Explain Equity Terms 🟢
/venture-capital-intelligence:explain-equity-terms
What does "post-money SAFE with a $10M cap and 20% discount" mean for my ownership?
4 — Hard Startup Screen 🔵
/venture-capital-intelligence:hard-screening-startup
Company: Zepto — Series D, B2C quick commerce, India. GMV: $1B, 60% YoY growth.
Team: IIT Delhi founders, ex-Flipkart ops lead. Competing with Blinkit, Swiggy Instamart.
5 — Financial Model 🔵
/venture-capital-intelligence:financial-model
ARR: $2M, MoM growth: 15%, Gross margin: 72%, Burn: $180K/month, Stage: Series A.
CAC: $1,200, LTV: $8,400, Churn: 1.5%/month.
6 — Market Size 🔵
/venture-capital-intelligence:market-size
Target: Independent restaurant owners in the US. Product: $99/month POS add-on.
Is this venture-scale? Give me TAM/SAM/SOM.
7 — Cap Table Waterfall 🔵
/venture-capital-intelligence:cap-table-waterfall
Round 1: $500K SAFE at $5M post-money cap.
Round 2: $2M Seed at $8M pre-money, 20% option pool.
Exit: $20M acquisition. Who gets what?
8 — Deal Sourcing Signals 🔵
/venture-capital-intelligence:deal-sourcing-signals
Company: Deel. Scan for all 6 signal types — are they raising again?
9 — Fund Operations 🔵
/venture-capital-intelligence:fund-operations
Fund size: $50M, Invested: $32M across 12 companies.
Portfolio FMV: $61M, Distributions: $4M, Management fees paid: $3M.
Write my Q1 LP update.
Output Example — Startup Screening
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
STARTUP SCREENING · Acme AI · Seed · B2B SaaS
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
DIMENSION SCORES
Team 8/10 [████████░░] Ex-Stripe + Stanford ML PhD
Market 9/10 [█████████░] $18B TAM, 35% CAGR
Product 7/10 [███████░░░] Strong moat, early customers
Traction 6/10 [██████░░░░] $85K ARR, 20% MoM
Business Model 8/10 [████████░░] SaaS, 72% gross margin
Competition 7/10 [███████░░░] Clear wedge vs incumbents
Financials 7/10 [███████░░░] 18 months runway
Risk Profile 7/10 [███████░░░] Manageable regulatory risk
WEIGHTED SCORE 7.7/10
VERDICT: ✅ PASS
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
What's Inside
Inspired From
This plugin is built on the best ideas, schemas, formulas, and taxonomies from the open-source VC ecosystem:
| Category | Inspired From | Learnings |
|---|---|---|
| Startup Scoring | joelparkerhenderson/startup-assessment, virattt/ai-hedge-fund | 8-dimension rubric, multi-investor lens (Sequoia/YC/Tiger Global/Risk) |
| Signal Monitoring | wizenheimer/subsignal | 6-signal taxonomy: Hiring · Funding · Product · Team · Market · Tech |
| Financial Modeling | JerBouma/FinanceToolkit, halessi/DCF, groveco/cohort-analysis | DCF formulas, SaaS metrics, cohort/LTV curves |
| Cap Table | Open-Cap-Table-Coalition/OCF, foresighthq/cap-table-tool | OCF JSON schema, SAFE conversion math, waterfall logic |
| Market Research | enthec/webappanalyzer, brightdata/competitive-intelligence | Tech stack taxonomy, competitive intel agent pattern |
| Legal/Equity | YCombinator/safe, seriesseed/equity, jlevy/og-equity-compensation | SAFE variants, Series Seed docs, ISO/NSO/vesting guide |
| Pitch Decks | julep-ai/pitch-deck-analyzer, joelparkerhenderson/pitch-deck, rafaecheve/Awesome-Decks | Red flag taxonomy, 11-slide structure, real deck benchmarks |
| Fund Ops | urbantech/musacapital, simonmichael/hledger | LP KPI taxonomy, chart of accounts structure |
Repository Structure
venture-capital-intelligence/
├── .claude-plugin/
│ ├── plugin.json
│ └── marketplace.json
├── skills/
│ ├── soft-screening-startup/SKILL.md
│ ├── analyze-pitch-deck/SKILL.md
│ ├── explain-equity-terms/SKILL.md
│ ├── hard-screening-startup/
│ │ ├── SKILL.md
│ │ └── scripts/ (verdict_calc.py, report_formatter.py)
│ ├── financial-model/
│ │ ├── SKILL.md
│ │ └── scripts/ (financial_calc.py, report_formatter.py)
│ ├── market-size/
│ │ ├── SKILL.md
│ │ └── scripts/ (tam_calculator.py, market_formatter.py)
│ ├── cap-table-waterfall/
│ │ ├── SKILL.md
│ │ └── scripts/ (captable_calc.py, waterfall_calc.py, waterfall_formatter.py)
│ ├── deal-sourcing-signals/
│ │ ├── SKILL.md
│ │ └── scripts/ (signal_scorer.py, sourcing_formatter.py)
│ └── fund-operations/
│ ├── SKILL.md
│ └── scripts/ (fund_kpi_calc.py, fund_formatter.py)
└── README.md
License
MIT — free to use, fork, and extend.
Built with love for the venture capital & startup ecosystem.