Weekly MRR, churn & LTV tracking for indie SaaS via automated metrics

Many indie and bootstrapped SaaS founders—roughly 1,000,000 globally—struggle to reliably track weekly MRR movements, churn by cohort, and LTV without spending engineering time or paying for bloated enterprise tools; the result is delayed reactions to churn and poor short-term cash planning. Founders often rely on spreadsheets or monthly reports, which miss the weekly cadence needed to spot early signs of churn or evaluate pricing and retention experiments. A focused product would automatically ingest Stripe and Paddle data, compute weekly MRR deltas, cohort churn, LTV, and ARR run-rate, and deliver a tiny dashboard plus automated weekly Slack/email summaries and alerts; setup should take under 15 minutes and pricing could target $10–$50/month to align with indie budgets. Implementation is straightforward technically thanks to mature payment APIs, but you must solve reconciliation, multi-currency normalization, and privacy concerns to build trust. This is a timely market: the subscription economy keeps expanding, and a simple TAM estimate—1,000,000 indie SaaS × $1,200/year in analytics spend—gives a $1.2B upside, while API-first payments make low-cost ingestion feasible. You can stand out by optimizing for the weekly cadence, offering pre-built cohort and experiment templates, ultra-low setup friction, and privacy-forward defaults; the honest challenges are differentiation from mid-market tools, maintaining data accuracy at scale, and earning credibility with cautious founders.