An honest breakdown of what it actually takes to build SaaS analytics correctly — and where the dashboard you're picturing breaks down.
SaaS analytics is roughly 10% dashboard, 90% data system. The dashboard is what you’d ship in two weeks. The data system is what takes the next three months — and what you’ll get wrong without realizing it.
Total to ship correctly: 15–27 weeks of full-time work, then 5–10 hrs/week forever.
Phase by phase, what’s vibe-codable and what isn’t. These numbers assume one focused engineer with experience.
Stripe API integration · auth, pagination, rate limiting, webhook receiver, retry logic
Schema, indexing for time-series, refund / void / plan-change reconciliation
5-component decomposition (new / expansion / contraction / churn / reactivation) with edge cases
Logo vs revenue, voluntary vs involuntary, mid-cycle handling
NRR, GRR, LTV, CAC payback, Quick Ratio, ARPA, ARPU, Magic Number, etc.
Cards, charts, sparklines, filters, layouts
Cross-validate equations against ChartMogul, edge case tests, audit
Customer-specific edge cases, data discrepancies founders catch in production, methodology disputes — the long tail nobody plans for
Monitoring, alerting, sync failure recovery, cost optimization
Then 5–10 hrs/week forever.
Move the sliders. The numbers update live.
Only the Dashboard UI slice is meaningfully accelerated by AI tooling. The other ~90% is data, equations, and verification.
This still doesn’t account for: numbers that look right but are wrong (until your board meeting catches them), Stripe API deprecations that break your sync at 2am, the 15–27 weeks you could have spent building your product instead, and the structural problem that benchmarks against 1,400 peers can’t be vibe-coded by one founder for one company.
Four are technical — effort solves them, but slowly. Four are structural — no amount of effort solves them.
Pagination (100 reads/sec rate limits), retry with exponential backoff, partial failure recovery, webhook handling, cursor management for incremental sync — every one is a new code path.
e.g. 24 months of charges for a 200-customer SaaS = ~150K Stripe API calls.
Stripe gives you raw events: subscription.created, invoice.paid, charge.refunded. None of those are MRR. None are churn. None are NRR. You derive every metric yourself — including all 5 MRR movement components (new, expansion, reactivation, contraction, churn) from those raw events.
e.g. Get one wrong and every downstream metric — MRR growth, NRR, LTV — is wrong with it.
Trials converting mid-month. Plan downgrades with refunds. Metered billing. Free-to-paid conversions. Multi-currency. Pause-and-resume. Each one is a separate code path with its own bugs — and discovering them is what takes the time.
e.g. A customer who upgrades, downgrades, refunds, and re-upgrades in one billing cycle.
Until your board meeting catches it. Or your investor update. Cross-validating equations against ChartMogul-style methodology is a 2–3 week project on its own — and most founders skip it until something breaks publicly.
e.g. You report 5.2% churn to the board. Real churn is 7.8% — you missed pause-and-resume.
1,400+ Stripe-verified SaaS companies, matched to your MRR tier and category. You'd need to convince 1,400 founders to share their Stripe data with you. We already did.
Every gap is priced. “Your churn is 2.4 points above the peer median — closing that gap is worth ~$1,800 MRR over 90 days.” No dashboard produces this number.
Three agents read your Stripe data daily. Churn Radar finds at-risk accounts. Payment Recovery catches failed charges. Upgrade Finder spots expansion-ready accounts. Each finding priced and ranked.
Every morning: what matters, in order, priced in dollars. Not a dashboard you have to interpret — a briefing that tells you exactly where to spend your next hour for maximum revenue impact.
If you’re going to build, start with the right foundation. Nine phases — and where each one quietly absorbs more time than you planned.
During your 14-day Pro trial, three agents — Churn Radar, Payment Recovery, and Upgrade Finder — read your Stripe data daily and price every risk and opportunity in dollars. If they don't surface at least 12.6% of your current MRR in actionable opportunities, we extend your trial automatically. If we still haven't found it, your first month of Pro is on us.
Free dashboard, 30+ metrics, drivers, period comparison — forever. Three AI agents finding opportunities you’d never see in a dashboard, yours or anyone else’s.