Skills DirectorySkills Directory
SkillsLearnSecurityCategoriesDocsCommunityBlog
Sign InSubmit Skill
Skills Directory

Security-tested agent skills for Claude, coding agents, and AI workflows.

Directory

  • Browse Skills
  • All Skills A–Z
  • Claude Skills
  • Claude Code Skills
  • Agent Skills
  • Categories
  • Authors
  • Submit a Skill

Learn

  • Learn Hub
  • Install Claude Skills
  • Write SKILL.md
  • Skills vs MCP
  • Directories Compared

Security

  • Security
  • Methodology
  • Secure Claude Skills
  • Security Badges

Company

  • About
  • Community
  • Blog
  • API Docs
  • Advertise

2026 Skills Directory. All rights reserved.

ProTermsPrivacyRefunds
Back to skills

Track Startup Metrics

ASecurity

Track, calculate, and optimize key performance metrics for startups from seed through Series A. Covers unit economics, growth efficiency, and business models.

19 stars
0 votes
0 copies
1 views
Added 9/19/2026
ai-agentsgobashperformance

Security Analysis

A100/100

Scanned 9/19/2026

Install to Claude Code

$npx -y skills add rondoflow/rondoflow --skill track-startup-metrics --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Track Startup Metrics?

Add the live security badge to your README — it updates automatically with every re-scan.

Security grade badge for Track Startup Metrics
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/rondoflow-track-startup-metrics/badge)](https://www.skillsdirectory.com/skills/rondoflow-track-startup-metrics)

More formats (shields.io, HTML) on the badges page.

Download with Pro
Files
SKILL.md
---
name: track-startup-metrics
description: "Track, calculate, and optimize key performance metrics for startups from seed through Series A. Covers unit economics, growth efficiency, and business models."
category: "Data & Analytics"
author: community
version: "1.0.0"
icon: chart-bar
---

# Startup Metrics Framework

Comprehensive guide to tracking, calculating, and optimizing key performance metrics for different startup business models from seed through Series A.


## Installation

### OpenClaw / Moltbot / Clawbot

```bash
npx clawhub@latest install startup-metrics
```


## WHAT This Skill Does

Provides formulas, benchmarks, and guidance for:
- Revenue metrics (MRR, ARR, growth rates)
- Unit economics (CAC, LTV, payback period)
- Cash efficiency (burn rate, runway, burn multiple)
- SaaS-specific metrics (NDR, magic number, Rule of 40)
- Marketplace and consumer metrics
- Stage-appropriate focus areas

## WHEN To Use

- Setting up startup analytics and dashboards
- Calculating CAC, LTV, or unit economics
- Preparing investor updates or pitch materials
- Evaluating business health and efficiency
- Understanding what metrics matter at each stage

## KEYWORDS

startup metrics, saas metrics, cac, ltv, arr, mrr, burn rate, burn multiple, rule of 40, net dollar retention, magic number, unit economics, marketplace gmv, dau mau

## Universal Startup Metrics

### Revenue Metrics

```
MRR = Σ (Active Subscriptions × Monthly Price)
ARR = MRR × 12

MoM Growth = (This Month MRR - Last Month MRR) / Last Month MRR
YoY Growth = (This Year ARR - Last Year ARR) / Last Year ARR
```

**Benchmarks:**
| Stage | Growth Target |
|-------|---------------|
| Seed | 15-20% MoM |
| Series A | 10-15% MoM, 3-5x YoY |
| Series B+ | 100%+ YoY (Rule of 40) |

### Unit Economics

```
CAC = Total S&M Spend / New Customers Acquired
LTV = ARPU × Gross Margin% × (1 / Churn Rate)
LTV:CAC Ratio = LTV / CAC
CAC Payback = CAC / (ARPU × Gross Margin%)
```

**Benchmarks:**
| Metric | Excellent | Good | Concerning |
|--------|-----------|------|------------|
| LTV:CAC | > 3.0 | 1.0-3.0 | < 1.0 |
| CAC Payback | < 12 months | 12-18 months | > 24 months |

### Cash Efficiency

```
Monthly Burn = Monthly Revenue - Monthly Expenses
Runway (months) = Cash Balance / Monthly Burn Rate
Burn Multiple = Net Burn / Net New ARR
```

**Burn Multiple Benchmarks:**
| Score | Assessment |
|-------|------------|
| < 1.0 | Exceptional efficiency |
| 1.0-1.5 | Good |
| 1.5-2.0 | Acceptable |
| > 2.0 | Inefficient |

**Target:** Always maintain 12-18 months runway.

## SaaS Metrics

### Revenue Composition

```
Net New MRR = New MRR + Expansion MRR - Contraction MRR - Churned MRR
```

### Retention Metrics

```
NDR (Net Dollar Retention) = (ARR Start + Expansion - Contraction - Churn) / ARR Start
Gross Retention = (ARR Start - Churn - Contraction) / ARR Start
Logo Retention = (Customers End - New Customers) / Customers Start
```

**NDR Benchmarks:**
| Range | Assessment |
|-------|------------|
| > 120% | Best-in-class |
| 100-120% | Good |
| < 100% | Needs work |

### Efficiency Metrics

```
Magic Number = Net New ARR (quarter) / S&M Spend (prior quarter)
Rule of 40 = Revenue Growth Rate% + Profit Margin%
Quick Ratio = (New MRR + Expansion MRR) / (Churned MRR + Contraction MRR)
```

**Magic Number:**
- > 0.75 = Efficient, ready to scale
- 0.5-0.75 = Moderate efficiency
- < 0.5 = Inefficient, don't scale yet

## Marketplace Metrics

```
GMV = Σ (Transaction Value)
Take Rate = Net Revenue / GMV
```

**Typical Take Rates:**
| Type | Range |
|------|-------|
| Payment processors | 2-3% |
| E-commerce marketplaces | 10-20% |
| Service marketplaces | 15-25% |
| High-value B2B | 5-15% |

**Liquidity Indicators:**
- Fill rate > 80% = Strong liquidity
- Repeat rate > 60% = Strong retention

## Consumer/Mobile Metrics

```
DAU/MAU Ratio = DAU / MAU
K-Factor = Invites per User × Invite Conversion Rate
```

**DAU/MAU Benchmarks:**
| Ratio | Assessment |
|-------|------------|
| > 50% | Exceptional (daily habit) |
| 20-50% | Good |
| < 20% | Weak engagement |

**Retention Benchmarks (Day 30):**
| Rate | Assessment |
|------|------------|
| > 40% | Excellent |
| 25-40% | Good |
| < 25% | Weak |

## B2B Sales Metrics

```
Win Rate = Deals Won / Total Opportunities
Pipeline Coverage = Total Pipeline Value / Quota (target: 3-5x)
ACV = Total Contract Value / Contract Length (years)
```

**Sales Cycle Benchmarks:**
| Segment | Typical Duration |
|---------|------------------|
| SMB | 30-60 days |
| Mid-market | 60-120 days |
| Enterprise | 120-270 days |

## Metrics by Stage

### Pre-Seed (Product-Market Fit)

**Focus:** Active users, retention (Day 7/30), engagement, qualitative feedback

**Don't worry about:** Revenue, CAC, unit economics

### Seed ($500K-$2M ARR)

**Focus:**
- MRR growth rate (15-20% MoM)
- CAC and LTV baselines
- Gross retention (> 85%)
- Core product engagement

**Start tracking:** Sales efficiency, burn rate, runway

### Series A ($2M-$10M ARR)

**Focus:**
- ARR growth (3-5x YoY)
- LTV:CAC > 3, payback < 18 months
- NDR > 100%
- Burn multiple < 2.0
- Magic number > 0.5

## What Investors Want to See

### Seed Round
- MRR growth rate
- User retention
- Early unit economics
- Product engagement

### Series A
- ARR and growth rate
- CAC payback < 18 months
- LTV:CAC > 3.0
- NDR > 100%
- Burn multiple < 2.0

### Series B+
- Rule of 40 > 40%
- Efficient growth (magic number)
- Path to profitability

**Dashboard Format:**
```
Current MRR: $250K (↑ 18% MoM)
ARR: $3.0M (↑ 280% YoY)
CAC: $1,200 | LTV: $4,800 | LTV:CAC = 4.0x
NDR: 112% | Logo Retention: 92%
Burn: $180K/mo | Runway: 18 months
```

## Common Mistakes

1. **Vanity Metrics** — Focus on actionable metrics, not total users or page views
2. **Too Many Metrics** — Track 5-7 core metrics intensely, not 50 loosely
3. **Ignoring Unit Economics** — CAC and LTV matter even at seed stage
4. **Not Segmenting** — Break down by customer segment, channel, cohort
5. **Gaming Metrics** — Optimize for real business outcomes, not dashboards

## NEVER Do

1. **NEVER ignore** unit economics at any stage — CAC and LTV are always critical
2. **NEVER track** vanity metrics (total users, page views) without retention context
3. **NEVER report** growth rates without absolute numbers — 100% growth from $1K is different from $1M
4. **NEVER skip** segmentation — aggregate metrics hide important patterns
5. **NEVER confuse** correlation with causation — investigate before concluding
6. **NEVER set** targets without understanding your stage benchmarks
7. **NEVER present** metrics without trend context — current value + growth rate + benchmark
8. **NEVER optimize** for the metric instead of the underlying business outcome

Attribution

rondoflowrondoflow
View sourceMore from rondoflow →
SSkills DirectorySkills Directory

Know which skills are safe — weekly.

Best new skills + every skill we flagged as malicious. From the team that scanned 103,619.

Join free

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments (0)

No comments yet. Be the first to comment!

SSkills DirectorySkills Directory

Know which skills are safe — weekly.

Best new skills + every skill we flagged as malicious. From the team that scanned 103,619.

Join free

Related Skills

Caveman

Ultra-compressed communication mode that cuts output tokens while keeping technical accuracy. Levels: lite, full, ultra and the wenyan variants. Use for /caveman, "caveman mode", "talk like caveman", "be brief" or "less tokens".

1074701 votes

Hyperplan

Adversarial multi-agent planning skill. Self-orchestrates 5 hostile category members (unspecified-low, unspecified-high, deep, ultrabrain, artistry) via team-mode for ruthless cross-critique debate, distills only the defensible insights, then MANDATORILY hands the distilled insight bundle to the `plan` agent for executable plan formalization. Use when planning needs maximum rigor and surfacing of weak assumptions, blind spots, and over-engineering. Triggers: 'hyperplan', 'hpp', '/hyperplan', ...

693161 votes

Mcp Code Execution

Routes multi-tool workflows through MCP servers for large datasets and pipelines. Use when Bash tool overhead is limiting throughput on data-heavy tasks.

3351 votes

catchup

Recovers the conversation and failed tool calls of a previous Codex, Claude Code, Antigravity, Cline, Copilot CLI, Cursor, DeepSeek Harness, Kimi, OpenCode, Pi Agent, or ZCode session. Use when the user says "catch up", "what did the last session do", "get me up to speed", "I switched agents", asks to recover/summarize a previous session before continuing, or asks to diagnose or report a catchup failure. Do NOT use for the current conversation, git history, or any non-agent log.

691 votes

math-skill

A comprehensive mathematical reasoning skill for AI assistants — handles arithmetic to research-level problems with rigorous step-by-step reasoning, systematic verification, and transparent uncertainty handling

381 votes
View all in ai-agents →