Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Track, calculate, and optimize key performance metrics for startups from seed through Series A. Covers unit economics, growth efficiency, and business models.
Track, calculate, and optimize key performance metrics for startups from seed through Series A. Covers unit economics, growth efficiency, and business models.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
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: 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
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
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: StageGrowth TargetSeed15-20% MoMSeries A10-15% MoM, 3-5x YoYSeries 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: MetricExcellentGoodConcerningLTV:CAC> 3.01.0-3.0< 1.0CAC Payback< 12 months12-18 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: ScoreAssessment< 1.0Exceptional efficiency1.0-1.5Good1.5-2.0Acceptable> 2.0Inefficient 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: RangeAssessment> 120%Best-in-class100-120%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: 0.75 = Efficient, ready to scale 0.5-0.75 = Moderate efficiency < 0.5 = Inefficient, don't scale yet
GMV = Σ (Transaction Value) Take Rate = Net Revenue / GMV Typical Take Rates: TypeRangePayment processors2-3%E-commerce marketplaces10-20%Service marketplaces15-25%High-value B2B5-15% Liquidity Indicators: Fill rate > 80% = Strong liquidity Repeat rate > 60% = Strong retention
DAU/MAU Ratio = DAU / MAU K-Factor = Invites per User × Invite Conversion Rate DAU/MAU Benchmarks: RatioAssessment> 50%Exceptional (daily habit)20-50%Good< 20%Weak engagement Retention Benchmarks (Day 30): RateAssessment> 40%Excellent25-40%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: SegmentTypical DurationSMB30-60 daysMid-market60-120 daysEnterprise120-270 days
Focus: Active users, retention (Day 7/30), engagement, qualitative feedback Don't worry about: Revenue, CAC, unit economics
Focus: MRR growth rate (15-20% MoM) CAC and LTV baselines Gross retention (> 85%) Core product engagement Start tracking: Sales efficiency, burn rate, runway
Focus: ARR growth (3-5x YoY) LTV:CAC > 3, payback < 18 months NDR > 100% Burn multiple < 2.0 Magic number > 0.5
MRR growth rate User retention Early unit economics Product engagement
ARR and growth rate CAC payback < 18 months LTV:CAC > 3.0 NDR > 100% Burn multiple < 2.0
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
Vanity Metrics — Focus on actionable metrics, not total users or page views Too Many Metrics — Track 5-7 core metrics intensely, not 50 loosely Ignoring Unit Economics — CAC and LTV matter even at seed stage Not Segmenting — Break down by customer segment, channel, cohort Gaming Metrics — Optimize for real business outcomes, not dashboards
NEVER ignore unit economics at any stage — CAC and LTV are always critical NEVER track vanity metrics (total users, page views) without retention context NEVER report growth rates without absolute numbers — 100% growth from $1K is different from $1M NEVER skip segmentation — aggregate metrics hide important patterns NEVER confuse correlation with causation — investigate before concluding NEVER set targets without understanding your stage benchmarks NEVER present metrics without trend context — current value + growth rate + benchmark NEVER optimize for the metric instead of the underlying business outcome
Data access, storage, extraction, analysis, reporting, and insight generation.
Largest current source with strong distribution and engagement signals.