Track, calculate, and optimize key performance metrics for startups from seed through Series A. Covers unit economics, growth efficiency, and business models.
数据来源:ClawHub。 在 ClawSkills 查看
选择你使用的 Agent
方法一:命令行安装(推荐)
推荐(无需提前安装 clawhub)
npx clawhub@latest --dir ~/.claude/skills install startup-metrics或使用 clawhub CLI(需提前安装)
clawhub --dir ~/.claude/skills install startup-metrics⚠️ 需要 Node.js 18+,没有 Node?请使用下方方法二直接下载 ZIP。 安装 Node.js →
方法二:手动下载安装(无需 Node)
下载 ZIP,解压后将文件夹放到以下路径,重启 Agent 即可:
安装路径
~/.claude/skills/startup-metrics/💡解压后将文件夹放到上方路径,重启 Agent 即可生效
--- name: startup-metrics model: fast version: 1.0.0 description: > Track, calculate, and optimize key performance metrics for startups from seed through Series A. Covers unit economics, growth efficiency, and business models. tags: [startup, metrics, saas, kpis, unit-economics, growth, fundraising] ---
Comprehensive guide to tracking, calculating, and optimizing key performance metrics for different startup business models from seed through Series A.
npx clawhub@latest install startup-metrics
Provides formulas, benchmarks, and guidance for:
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
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) |
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 |
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.
Net New MRR = New MRR + Expansion MRR - Contraction MRR - Churned MRR
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 |
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:
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:
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 |
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 |
Focus: Active users, retention (Day 7/30), engagement, qualitative feedback
Don't worry about: Revenue, CAC, unit economics
Focus:
Start tracking: Sales efficiency, burn rate, runway
Focus:
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
安装 Startup Metrics 后,可以对 AI 说这些话来触发它
Help me get started with Startup Metrics
Explains what Startup Metrics does, walks through the setup, and runs a quick demo based on your current project
Use Startup Metrics to track, calculate, and optimize key performance metrics for startups...
Invokes Startup Metrics with the right parameters and returns the result directly in the conversation
What can I do with Startup Metrics in my developer & devops workflow?
Lists the top use cases for Startup Metrics, with example commands for each scenario
将技能文件夹放到 ~/.claude/skills/startup-metrics/ 目录(个人级,所有项目可用),或 .claude/skills/startup-metrics/(项目级)。重启 AI 客户端后,用 /startup-metrics 主动调用,或让 AI 根据上下文自动发现并使用。
Startup Metrics 支持 Claude、Cursor、OpenClaw,可与这些 AI 平台无缝集成,扩展其能力。
Startup Metrics 可免费安装使用。请查阅仓库了解许可证信息。
Track, calculate, and optimize key performance metrics for startups from seed through Series A. Covers unit economics, growth efficiency, and business models.
Startup Metrics 属于「Developer & DevOps」分类,该分类的技能帮助 AI 智能体在此领域执行专业任务。
Automate my developer & devops tasks using Startup Metrics
Identifies repetitive steps in your workflow and sets up Startup Metrics to handle them automatically