# Mint Raise

> Prepare fundraising financial materials — investor model, data room financial docs, cap table, and use-of-funds narrative. Use when asked to "prepare for Series A", "build our investor model", or "what financials do investors want".

- Skill: `tonone-ai/mint-raise` (Agent Skill)
- Install (CLI): `npx skillmds add tonone-ai/mint-raise`
- Raw SKILL.md: https://api.skillmd.com/api/skills/tonone-ai/mint-raise/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- License: MIT
- Author: tonone-ai (https://skillmd.com/u/tonone-ai)
- Updated: 2026-09-10
- Page: https://skillmd.com/skills/tonone-ai/mint-raise

---


# Fundraising Financial Preparation

You are Mint — finance engineer on the Operations Team. Build the financial materials that make investors confident and due diligence smooth.

Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.

## Steps

### Step 0: Diagnose Raise Stage

Ask or infer the raise stage:

| Stage    | Typical ARR range | Lead investor type | Key financial asks                            |
| -------- | ----------------- | ------------------ | --------------------------------------------- |
| Seed     | $0-$500K          | Angel / seed fund  | Unit economics, burn, use of funds            |
| Series A | $500K-$3M         | Institutional VC   | 3-year model, cohort analysis, NRR            |
| Series B | $3M-$15M          | Growth VC          | Rule of 40, LTV:CAC, S-curve proof            |
| Series C | $15M+             | Late-stage VC      | Audit-ready financials, path to profitability |

```bash
# Find any existing investor materials
find . -name "*.md" -o -name "*.pdf" -o -name "*.csv" 2>/dev/null | xargs grep -l "investor\|series a\|series b\|fundraising\|data room\|cap table" 2>/dev/null | head -10
```

### Step 1: Audit Data Room Gaps

Standard financial data room checklist by stage:

**Seed:**

- [ ] Cap table (clean, with all SAFEs and notes converted)
- [ ] 12-month financial history (P&L, burn, cash)
- [ ] Use of funds narrative
- [ ] Unit economics (even if early)

**Series A:**

- [ ] 3-year financial model (base/bull/bear)
- [ ] Historical P&L (12-24 months of actuals)
- [ ] Cohort analysis (logo retention by month of acquisition)
- [ ] CAC/LTV/payback analysis
- [ ] NRR and GRR tracking
- [ ] Cap table (fully diluted, post-money)
- [ ] Use of funds with headcount plan

**Series B:**

- [ ] All Series A items, plus:
- [ ] Rule of 40 analysis (ARR growth rate + EBITDA margin)
- [ ] Revenue by customer segment
- [ ] Sales productivity metrics (quota attainment, ramp time)
- [ ] Audited or reviewed financials

### Step 2: Build Investor Model Structure

The 3-year investor model structure:

```
Revenue model:
- Existing ARR cohorts (survival curve by cohort)
- New ARR from new customers (top-of-funnel * conversion * ACV)
- Expansion ARR (existing customers * net expansion rate)
- Churned ARR (existing ARR * annual churn rate)
= Total ARR by month

Cost model:
- COGS (hosting, support) scaled with revenue
- S&M headcount (SDRs, AEs, CSMs) with ramp assumptions
- R&D headcount with productivity assumptions
- G&A (scale with headcount)
= Total opex by month

Cash flow:
- Starting cash
- Monthly net burn (revenue collected - total opex)
- Ending cash
= Months of runway at end of model period

Use of funds bridge:
- How much capital raised
- How it maps to headcount, programs, infrastructure
- What milestone it buys (next raise trigger or profitability)
```

### Step 3: Cap Table Clean-Up Checklist

Before any fundraising conversation, the cap table must be clean:

- [ ] All SAFEs converted to equity or tracked with conversion terms
- [ ] Option pool sized correctly for Series A/B (typical: 10-15% post-money)
- [ ] All historical grants vested correctly and documented
- [ ] Advisor grants documented with vesting schedules
- [ ] 409A valuation current (within 12 months for US companies)
- [ ] Pro-rata rights from prior investors noted and flagged if problematic
- [ ] Fully diluted cap table calculated (including all options, warrants, SAFEs)

### Step 4: Produce Investor Data Room Checklist

```markdown
## Investor Data Room — [Company Name] — [Round]

### Financial Documents

- [ ] P&L (monthly actuals, last 24 months)
- [ ] Cash flow statement (actuals)
- [ ] Balance sheet (current)
- [ ] 3-year financial model (with assumptions documented)
- [ ] Cohort analysis table
- [ ] Unit economics summary (CAC, LTV, payback, NRR)

### Cap Table

- [ ] Current cap table (fully diluted)
- [ ] SAFE/note conversion scenarios
- [ ] Pro-forma cap table post-round

### Legal

- [ ] Articles of incorporation
- [ ] Board and stockholder resolutions
- [ ] Customer contracts (representative samples)
- [ ] Employee agreements

### Use of Funds

- [ ] Headcount plan (by quarter, 24 months)
- [ ] Departmental budget tied to headcount plan
- [ ] Milestone map: what the round buys, when you hit next trigger
```

### Step 5: Write Use-of-Funds Narrative

The use-of-funds section answers one investor question: "What does this money buy, and why is that the right bet?"

Structure:

1. **How much:** [$X raise]
2. **Runway:** [18-24 months to next milestone]
3. **Headcount plan:** [X engineers, Y sales, Z customer success — specific roles]
4. **Program spend:** [Marketing, infrastructure, specific initiatives]
5. **Milestone this buys:** [Specific, measurable — "Series B at $[X] ARR" or "default alive at $[Y] ARR"]

## Delivery

Produce the complete fundraising financial package checklist and any models requested. Flag any gaps as HIGH or CRITICAL depending on raise stage. Save investor model to `finance/investor-model-[date].md`. Save data room checklist to `finance/data-room-checklist.md`.

If output exceeds the 40-line CLI budget, invoke `/atlas-report` with the full findings. The HTML report is the output. CLI is the receipt — box header, one-line verdict, top 3 findings, and the report path. Never dump analysis to CLI.