Validated idea. Available budget. Zero shipped features after 6 months. This is a pattern we see constantly with technical and non-technical SaaS founders alike — and the root cause is almost never capability, it's decision debt.

• 🏗 Founder had been evaluating tech stacks for 3 months — Next.js vs Remix, Supabase vs Firebase vs PlanetScale, Clerk vs Auth0 — without building a single feature. Analysis paralysis is real and costly.
• 💸 Had quotes from 2 dev agencies in the range of ₹15–25 lakh for a "proper" MVP — with 4–6 month timelines that would eat runway before a single customer validated the idea.
• 🔒 Authentication and multi-tenancy complexity was the primary blocker — the founder had read enough horror stories about getting RLS wrong to be scared of building it at all.
• 📊 Core feature (subscription analytics) required pulling data from Stripe, Chargebee, or Paddle via webhooks — the founder didn't know how to design a reliable webhook ingestion pipeline at scale.
• 🚀 Missed a competitor's launch window — their direct competitor shipped a basic version while the founder was still evaluating stacks.

KLYX's approach to SaaS MVPs is opinionated by design: Next.js 14 App Router + Supabase + Stripe, deployed on Vercel, Supabase-hosted Postgres. We do not evaluate alternatives during a 30-day engagement — that's the founder's job in week 0. Our job is to build fast on a battle-tested stack.

The scope contract was signed on Day 1: Stripe webhook ingestion, MRR/ARR/Churn/LTV dashboard, multi-tenant with RLS, team invites, Stripe Billing integration for the SaaS subscription itself, and a public marketing page. Everything else — integrations, custom reports, API access — was logged as post-MVP.

1. Days 1–3: Architecture decision locked. Supabase for auth + DB + realtime. Next.js 14 App Router with server components. Stripe for both webhook ingestion AND billing the SaaS itself. Vercel for deployment. No alternatives evaluated.
2. Days 4–6: Supabase schema designed with RLS from day 1 — organisations table, memberships table, subscriptions table, events table. Row-level security policies written before any application code.
3. Days 7–10: Stripe webhook ingestion pipeline built — a Next.js API route verified signatures, parsed events, and upserted into Supabase. Idempotency keys handled via Postgres unique constraints. Replay-safe from day 1.
4. Days 11–15: Core dashboard built — MRR, ARR, churn rate, LTV, new subscriptions vs cancellations, cohort chart. All queries run server-side via Supabase JS client with RLS in effect — no data leaks possible by design.
5. Days 16–19: Multi-tenant team invites — invite by email, Supabase auth email OTP, membership created on first login. Role-based access (admin vs viewer) controlled via RLS policies.
6. Days 20–23: SaaS billing wired — the platform itself sells subscriptions via Stripe Checkout. Customer portal for plan changes and invoice downloads. Webhook loop back to Supabase to track own subscription status.
7. Days 24–27: Marketing page built in Next.js — landing page, pricing table, FAQ, testimonials placeholder. Deployed on same Vercel project, separate route group.
8. Days 28–30: QA, Vercel preview URLs shared with beta list, 12 customers signed up during the 72-hour beta window before public launch.

• Founder hit first ₹1L MRR within 45 days of launch — the 30-day build cost recovered in under 3 months.
• Zero downtime in first 60 days — Vercel + Supabase managed infrastructure handled 3 traffic spikes from newsletter mentions without manual intervention.
• 4 enterprise leads came in after launch specifically because the product had Stripe Billing history visible in the dashboard — proof that subscription data was being parsed correctly.

• Opinionated stacks ship MVPs — the best tech stack for a 30-day build is the one with the most decisions already made. Next.js + Supabase + Stripe is our default because every team member already knows it cold. Speed beats stack optimality at MVP stage.
• RLS is multi-tenancy done right — Supabase Row-Level Security enforces tenant isolation at the database level. No amount of application-layer bugs can leak one tenant's data to another. Write your RLS policies on Day 1, not as an afterthought.
• Scope is a product decision, not a technical one — the 30-day deadline is not a constraint, it's a forcing function that prevents every feature-creep discussion from derailing the build. The post-MVP backlog was 40 items long; the MVP shipped 8.