ChurnLens vs Submetrics

ChurnLens is a self-hosted SaaS metrics tool for calculating MRR, churn, and LTV from Stripe or CSV data. Its full report includes current MRR, ARR run-rate, active customers, average customer churn, and monthly figures such as net-new MRR and LTV. The `mrr` command breaks the latest month’s MRR movement into new, expansion, reactivation, contraction, and churned amounts. Reports can return JSON and use a chosen currency label, with USD as the default.

ChurnLens can recompute metrics from ledger updates and publish JSON to a BI or dashboard pipeline. It also lists SARIF output for code scanning, an MCP server for AI agents, and webhook forwarding for SIEM, Slack, and Jira. The README describes use through MCP, JSON piped into agents or LLMs, or CI with exit codes and SARIF. Installation options include pip, pipx, uv, Docker, Homebrew, and a shell script. It requires no account. The source-available license permits personal, internal evaluation, research, and educational use; commercial or production use requires a separate license. Pricing is on request.

Submetrics is subscription analytics for indie founders, development agencies, and indie hackers, including SaaS products under $50K MRR. It tracks MRR, ARR, churn, customer lifetime value, expansion, and related unit-economics measures from billing data. The dashboard updates revenue metrics in real time as subscriptions start, expand, contract, or churn. Slack or email alerts can report cancellations, with reasons taken from Stripe metadata. Lifetime value can be segmented by plan, cohort, or acquisition channel, while retention is displayed in cohort heatmaps. The Pro plan adds AI revenue projections for three, six, and 12 months with confidence intervals. Stripe and RevenueCat integrations are live; Paddle is in beta, and three other connections are coming soon. Plans start at $19 a month, with a 14-day trial and no credit card required. Supported platforms are web, iOS, Android, and API.