Chartsy vs SaaSFlow

Chartsy is a web analytics product for SaaS founders that combines Stripe and Paddle billing records with website traffic. It calculates MRR, ARR, churn, LTV and cohort retention from invoice data, and includes expansion analysis and unit-economics measures. A tracking script attributes visits and signups to Stripe or Paddle revenue by marketing channel. ChartsyAI converts plain-English questions into charts without SQL; its chatbot handles follow-up questions and explains changes in revenue metrics. Supported sources are Stripe, Paddle Billing, Paddle Classic and BigCommerce. GDPR Mode avoids storing customer names and email addresses while metrics continue to work. Connections to Stripe and Paddle are read-only except for webhook registration. Weekly emails cover subscribers, MRR, churn, plan performance and geographic distribution. Four dashboard templates appear after initial synchronization. MCP supplies read-only data to ChatGPT and Claude.

SaaSFlow is a finance cockpit for SaaS companies that combines real-time P&L, subscription analytics, and forecasting in one data layer. It categorizes transactions, calculates P&L, and lets users assign transactions to periods for accrual reporting. Subscription metrics include MRR, ARR, CMRR, revenue movements, logo and revenue churn, customer lifetime, and LTV/CAC. Planning tools forecast cash flow and runway, support budgets and plan-versus-actual comparisons, and update forecasts as actual data arrives. Named integrations include Stripe, HubSpot, Finway, Pleo, DATEV Payroll, and Slack; some connect live while others rely on monthly export uploads. Users can connect Claude, ChatGPT, Cursor, or their own agents via MCP, or use a public REST API and CLI. The maker says the product is for decision-making rather than compliance and operates separately from accounting systems. The free plan includes all features, unlimited users, and unlimited data sources up to €120k ARR (€10k MRR). Pro costs €100 a month with annual billing.