Supabase Development Service
I'm Muhammed Waqar Ahmed — a full-stack developer specializing in Supabase and PostgreSQL for production SaaS. If you're building a multi-tenant app where different customers should never see each other's data, this is what I do. Row-level security enforced at the database, not the application. Auth wired correctly the first time. Schemas that don't rot as you scale.
Conslinq — an immigration case management platform with 5 user roles (admins, vendors, resellers, team members, clients) and strict tenant isolation. Tenant identity flows through JWT claims into row-level security policies, so a query from a client account physically cannot return data from another tenant, even if the app layer has a bug.
Read the Conslinq case study →Supabase Auth wired to your product: email/password, magic link, OAuth providers, plus role-based access control mapped to database policies. Not just "is the user logged in" but "which specific rows can they read and write, and why."
Normalized PostgreSQL schemas that reflect how your business actually works, with proper foreign keys, indexes, and constraints. Migrations that are reversible. Seed data that lets a new developer run the app locally in one command.
Existing Supabase project? I audit RLS policies, look for the classic gaps (missing policies on write operations, service-role keys leaked into client bundles, JWT claims not verified), and write tests so access control stays correct as the app changes.
Most SaaS security bugs I've seen come from one pattern: developers enforce access at the application layer (an if user.tenant_id === row.tenant_id check) and forget that any bug in that check leaks data. RLS moves the check into the database itself — the database refuses to return rows the user isn't allowed to see, no matter what the app does.
How I set it up:
postgres.js when I want zero abstraction.From $2,500 · 2–3 weeks
From $5,000 · 4–6 weeks
From $1,500 · 1 week
Row-level security (RLS) is a PostgreSQL feature that filters query results based on the current user's identity — enforced by the database itself, not the application. In a multi-tenant SaaS this is the difference between "our security depends on every developer remembering to add a WHERE tenant_id = ? clause" and "the database physically refuses to return other tenants' data." For anything handling regulated or customer data, RLS is table stakes.
Yes — I run it in production for Conslinq, a live immigration case management platform serving multiple business roles. It gives you managed PostgreSQL, auth, storage, realtime, and edge functions in one platform, so you don't stitch together five services on day one. The typical concern I hear is "can it scale?" — the answer is yes, it's just PostgreSQL under the hood, and PostgreSQL scales to companies bigger than yours will ever be.
Supabase gives you PostgreSQL with SQL, foreign keys, and RLS — Firebase gives you NoSQL and eventual regret when you need joins. Plain PostgreSQL (on RDS, Neon, or self-hosted) gives you more control but you'll spend weeks re-implementing what Supabase gives you free: auth, storage, edge functions, realtime. I recommend Supabase for 90% of new SaaS builds and plain PostgreSQL when you need very specific configuration or already have an ops team.
Yes, and I do this regularly. Common findings: RLS enabled on some tables but not others, policies defined for SELECT but forgotten on INSERT/UPDATE/DELETE, service-role keys accidentally exposed to the browser, tenant claims trusted from client-supplied headers instead of JWT. I'll deliver a written audit with severity ratings, then fix the critical items. Audits start at $1,500 for a typical single-app project.
For most schema changes yes. Adding columns, adding indexes concurrently, backfilling data in batches — all doable while the app stays live. For breaking changes (renaming columns, changing types) I'll walk you through the multi-step migration pattern that keeps old and new versions running side-by-side until the deploy completes. Standard stuff for production PostgreSQL, but not every developer has done it.
Supabase supports pgvector natively, which means you can store embeddings and do semantic search from the same PostgreSQL database as your app data — no separate vector DB to run. I've shipped this pattern in production (QPDF) and it's the right choice up to millions of embeddings. Beyond that, we move to Pinecone or Qdrant.
Yes. Same modeling, indexing, and security patterns apply to standalone PostgreSQL on RDS, Neon, Railway, Fly, or self-hosted. The auth and edge-function pieces are what change — for non-Supabase setups I typically pair PostgreSQL with Clerk or Auth0 for auth and FastAPI or Next.js API routes for the backend.
Reach out through the contact form with a short description of your app and where you are in the build. After a free 30-minute scoping call, you get a written plan and estimate within 24 hours. Most projects start within a week of the first email.