Overview:

It’s a drag‑and‑drop metrics lab for SaaS people. You export CSVs from Stripe, drop them in, and instantly see MRR/ARR, churn, ARPU, LTV, cohorts, plan breakdowns, and growth curves—without handing over API keys or OAuthing your whole Stripe account. Perfect for founders who want quick answers for investor updates or pricing experiments, consultants doing one‑off audits, and agencies who need clean client snapshots without asking for full access.

  • Zero‑integration analytics (CSV-upload first) is rising as founders and small teams favor tools that analyze Stripe exports without OAuth or persistent API connections for faster setup and lower integration risk. (1, 2)

  • Privacy and security concerns drive demand for manual-export workflows: many users and platforms emphasize CSV exports and data export controls rather than connecting third‑party apps via OAuth. (3, 4)

  • Micro‑SaaS founders are increasingly launching narrow, revenue‑focused dashboards (MRR, churn, ARPU, cohorts) that prioritize rapid reach, low CAC, and simple billing data inputs over deep platform integrations. (2, 5)

  • No‑code/low‑code analytics and visualization adoption continues to grow, making CSV‑driven dashboards viable: market momentum and tooling improvements let non‑technical founders build polished analytics products quickly. (6, 7)

  • Investors and early customers increasingly expect standard SaaS financial metrics (cohorts, MRR growth, churn, ARPU) presented clearly—making out‑of‑the‑box Stripe CSV parsing and cohort modeling a high‑value feature for micro‑SaaS dashboards. (2, 2)

Your Answer:

  • A privacy-first micro‑SaaS: users upload Stripe CSV exports and instantly get MRR/ARR, churn, ARPU, LTV, cohort retention curves, revenue by plan, and growth-rate visualizations — no OAuth or API keys required.

  • Solves friction and trust pain points for early founders and consultants: zero integration means no long engineering tickets, no handing over Stripe access, fast insights for decision-making and investor updates.

  • MVP build is tiny: client-side CSV parser + serverless aggregation (Node/PapaParse), one SPA dashboard, PDF/CSV export and per-email reports — launchable in 1–2 weeks with minimal infra and encrypted file storage.

  • Ideal customers: micro‑SaaS founders, freelancers, agencies managing client billing, early-stage companies testing pricing or churn fixes, and bootstrappers avoiding persistent integrations.

  • Business model: freemium (one project, 30‑day window) + simple tiers ($9/$29/$79) or pay‑per‑report; optional enterprise plan with scheduled uploads and team seats — high margin, low support overhead.

  • Differentiation vs Baremetrics/ChartMogul: laser-focused, low-cost, privacy-first, fastest time-to-insight for founders who refuse to grant full Stripe access — a ‘no-trust-required’ analytics lane.

  • Growth channels: Product Hunt launch, Indie Hackers/Twitter case studies, targeted outreach to YC and micro‑SaaS founders, Stripe community posts, and partnerships with micro‑agency accountants/bookkeepers.

  • Retention levers and quick expansions: scheduled CSV imports, email anomaly alerts, cohort benchmarking, shareable snapshot links for investors, and optional OAuth as a paid upgrade for power users.

Your Roadmap:

  • MVP concept: single-page app where user uploads Stripe CSVs (customers, invoices, payments, subscriptions) and gets pre-built charts: MRR, churn, ARPU, cohort retention, growth rate.

  • Backend: serverless function (Vercel/AWS Lambda) that ingests CSV, normalizes rows, computes metrics with simple time-window logic (monthly MRR, active subs, churned subs).

  • Frontend: React or Svelte app + charting (Chart.js or Recharts) and a drag-drop CSV uploader — no OAuth, files stay client-to-server for single-session processing.

  • Export & privacy: add CSV/PNG export and optional in-memory only mode (process in-browser via Web Worker) to appeal to privacy-conscious users.

  • Monetize/test: free tier (first 3 uploads), paid monthly for saved reports or historical storage; collect emails for beta and run 5–10 interviews to refine metrics.

Sources:

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