Ovinix / Services / Product engineering
02

Product engineering
for things you’d actually trust.

SaaS, MVPs, internal tools. Typed APIs, real-time data, auth, billing, and observability — wired up the way you’d wire it up if you had a year.

[ Why this exists ]

The problem

Most "MVPs" are demos with a database. They look like products, but the moment you onboard a fifth user, things get awkward — billing is a CSV, support is your inbox, and nobody can answer "where did that data come from?"

We build MVPs the way teams build v3 — with the boring infrastructure already in place. Auth, billing, audit logs, error tracking, on-call. So when traction shows up, it doesn’t break the thing.

A real product has nine boring systems and one interesting one. We start with the nine.
[ What we do ]

The boring systems, done well.

These are the things every product needs and almost no MVP has.

01

Type-safe APIs end-to-end

tRPC, GraphQL or OpenAPI — your client and server share the same types, so a contract change is a build error, not a 2 a.m. page.

02

Auth that scales past you

SSO, MFA, role-based access, audit trails. Auth0 / Clerk / WorkOS or self-hosted Lucia — sized to the buyer.

03

Billing that handles edge cases

Stripe billing portal, dunning, proration, tax via Stripe Tax. Webhooks reconciled, invoices archived.

04

Real-time where it matters

WebSockets, server-sent events, presence, optimistic UI. Built on Postgres LISTEN/NOTIFY or Liveblocks.

05

Observability from day one

Sentry for errors, OpenTelemetry traces, structured logs to Loki/Datadog. You’ll know things broke before users tell you.

06

Background jobs & queues

Inngest, Trigger.dev or BullMQ. Retries, dead letters, idempotency — the unsexy work that makes products feel solid.

[ Deliverables ]

What you get, shipped.

Concrete artifacts, not slide decks. Every engagement ends with these in your repo, your cloud, your hands.

Production-ready repo

Monorepo (Turbo / Nx), TypeScript-strict, env-validated, deployable on day one.

Auth + billing wired

Sign-up, paywall, plans, customer portal, webhook reconciliation, invoice email.

Postgres schema + migrations

Drizzle / Prisma, RLS where needed, seed data, migration discipline from commit one.

Observability stack

Sentry + OTel + dashboards. Synthetic checks for the critical paths.

CI/CD pipeline

PR previews, type checks, tests, smoke runs against staging. Green-to-merge means green-to-deploy.

Runbook & on-call

A README that says what wakes you up at 3 a.m. and what to do about it.

[ Typical timeline ]

Eight weeks, from sketch to paying users.

Weeks 1–2
Discover

Domain modeling, schema design, auth model, billing model. Architecture decision records.

Weeks 3–4
Spine

Auth, billing, schema, deploys, observability — the boring layer. Done before any feature.

Weeks 5–7
Build

The actual product. Weekly drops, Friday demos, staging always-on.

Week 8
Ship

Pen test, load test, billing dry-run, launch playbook. Go live with on-call coverage.

[ Stack ]

Tools we reach for, by default.

Not religious about any of these — we'll use what your team can maintain after we leave.

TypeScriptNext.jstRPCDrizzlePostgresStripeClerkInngestSentryVercelFly.ioRailway

Ship the v3 first.

Tell us about the product. We’ll write you a fixed-scope, fixed-price offer in 3 working days.