The SaaS Revenue Dashboard runs 100% client-side: your exported CSV is read with a local CSV parser and every metric is computed on your device. There is no server, no API call and no CDN for the data, and it works offline once cached. Because a payments export contains your real revenue, customer IDs, emails and refunds, that privacy matters — it is safe for confidential or pre-announcement financials you could not hand to a cloud analytics tool.

MRR and ARR need recurring/subscription data, so the dashboard computes them only when you map a billing-interval column (month, year, week…), which a Stripe Subscriptions or Invoices export provides. It normalises each recurring charge to a monthly figure (annual ÷ 12, and so on), takes one figure per customer to estimate MRR, multiplies by 12 for ARR, and estimates monthly logo churn by comparing the last two active months. These are estimates — always reconcile against your Stripe dashboard before reporting.

Stripe stores amounts in the smallest currency unit (cents), so 10 USD is 1000. The Stripe Dashboard CSV export already converts these to dollars-and-cents (10.00), but API, BigQuery and many programmatic exports keep them in cents. The dashboard auto-detects the unit but lets you override it: if revenue looks 100× off, switch the Amount-unit toggle between Dollars and Cents.

The SaaS Revenue Dashboard is not affiliated with, endorsed by, or connected to Stripe. It does not log into your account or call any API — it only analyses the CSV file you export and provide. Accuracy therefore depends on which export you use, how you map the columns and the amount unit you choose, and recurring metrics like MRR and churn are estimates. Treat it as a fast, private way to slice an export, and reconcile the figures against your Stripe dashboard.