SaaS LTV Strategic Advisor for Indie Founders

Free v2.0.0

Get strategic LTV interpretation and growth advice tailored to bootstrapped founders - not just calculations, but what your numbers mean for pricing, churn, and CAC decisions.

What You Get

Unlike free calculators that just give you numbers, this skill provides context-aware strategic guidance specifically for indie and bootstrapped SaaS founders. Get prioritized action plans, reality checks, and stage-appropriate advice that accounts for small team constraints - all in plain language you can act on this week.

The Problem

Bootstrapped SaaS founders can find dozens of free LTV calculators online, but they all give the same thing: numbers without context. You get "Your LTV is $2,145" but no explanation of what that means for YOUR specific situation. Should you focus on churn or pricing? Can you afford paid acquisition? Are your metrics actually good for a 50-customer bootstrapped SaaS? Free tools don't tell you - they just spit out formulas. Founders need strategic interpretation, not just calculations. They need to know what to DO with the numbers, prioritized by impact, accounting for indie/bootstrap constraints (small team, limited budget, no growth team).

The Solution

This skill acts as your strategic LTV advisor, specifically built for indie and bootstrapped founders. It calculates LTV using 5 methods (Simple, Finite Horizon, Historical Cohort, Probabilistic, Segment-Based) but focuses on strategic interpretation rather than just numbers. You get context-aware recommendations that change based on your business stage, customer count, and metrics. Instead of generic advice, you receive prioritized action plans: 'Do THIS first (price testing), THEN this (churn investigation), THEN this (scale acquisition)' - with specific guidance on how to implement with a small team. The skill provides reality checks ('Your 35% churn means stop growing and fix retention NOW'), stage assessments ('Optimize Unit Economics' vs 'Scale Acquisition'), and bootstrapper-appropriate tactics (no 'hire a CS team' advice). All explanations use plain language, account for limited resources, and focus on what you can implement this week.

How It Works

  1. 1 Share your SaaS metrics in plain language - MRR, customer count, churn rate, CAC, business context (monthly/annual, how old, how many customers)
  2. 2 Receive LTV calculations using 5 methods with explanations of when each applies to your stage and business model
  3. 3 Get strategic interpretation of what your numbers mean: industry benchmarks for your tier, red flags vs green lights, biggest constraint or opportunity
  4. 4 Understand your stage assessment: 'Fix Retention First', 'Optimize Unit Economics', or 'Scale Acquisition' with stage-specific guidance
  5. 5 Receive prioritized action plan with 3-5 specific recommendations ranked by impact, with implementation guidance for small teams
  6. 6 Get tracking guidance on which metrics to monitor monthly and when to recalculate based on business changes

What You'll Need

  • Basic SaaS metrics: MRR or ARR, active customer count, monthly or annual churn rate, customer acquisition cost (CAC)
  • At least 10+ customers and 3-6 months operating history for meaningful analysis
  • Python 3.10+ with uv package manager (installed automatically if needed)
  • Business context: monthly vs annual contracts, bootstrapped vs funded, customer count, product age

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Examples

Early Stage SaaS: 12 Customers, Critical Churn Warning

Strategic analysis for a very early stage SaaS (6 months, 12 customers) with dangerous 8% monthly churn. Demonstrates the skill's ability to give hard truths: 'Pre-Product-Market-Fit' stage assessment with explicit 'What NOT to Do' guidance and 60-day survival roadmap.

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Messy Data SaaS: 45 Customers, Churn Emergency

Strategic analysis handling imprecise input data (variable pricing, unclear CAC). Demonstrates how the skill identifies critical issues (5.6% churn = 68% annual) and provides 'Emergency Retention Mode' guidance with specific day-by-day action plan.

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Mid-Stage SaaS: 127 Customers, Healthy Economics

Strategic analysis for a 14-month-old SaaS with solid unit economics (7.6:1 LTV:CAC). Demonstrates optimized prioritization: price testing first, churn investigation second, then gradual acquisition scaling - all with bootstrapper-appropriate tactics.

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