We design and harden Supabase backends: a Postgres schema with indexes and migrations, Row Level Security written and tested on every table, auth with roles, edge functions, and pgvector for AI features. Bring a new product, or an existing project that needs a security pass before real users arrive.
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Supabase gives you a real Postgres database with auth, storage, edge functions, and realtime wired in from day one. But that power is exactly where most teams get burned: tables ship without Row Level Security, the schema is never designed for scale, and an exposed anon key turns the whole database into a public API by accident.
We are a Supabase development agency, not a quick-start template shop. One engineer directs a fleet of agents to design the schema, lock down RLS, structure auth and edge functions, and harden the backend so it holds up under real traffic and a real security review. You get a Postgres foundation your product can grow on.
Supabase makes it easy to ship and hard to ship safely. The backend you wired together in a weekend starts to crack the moment real users, real data, and a security audit enter the picture.
The fastest way to leak your entire database is to skip RLS. A single table exposed to the anon role lets anyone read every row through the public API. We write and test RLS policies on every table so access maps exactly to who should see what.
Quick-start schemas have no indexes, no foreign keys, and no migrations, so queries crawl and data drifts as the app grows. We design a normalized, indexed Postgres schema with version-controlled migrations that scale past the demo.
Auth flows, JWT claims, and edge functions stitched together ad hoc create silent holes, leaked service keys, missing token checks, unverified webhooks. We structure auth, custom claims, and edge functions so the security model is intentional, not accidental.
We cover the full backend lifecycle, from your first Postgres schema to a hardened, realtime, pgvector-powered Supabase platform that serves your entire product, including AI features.
Normalized schema design, indexes, foreign keys, and version-controlled migrations, with Row Level Security policies written and tested on every table so multi-tenant data stays isolated.
Supabase Auth with custom JWT claims and role-based access, Deno edge functions for server-side logic, and verified webhook handlers, so business logic runs securely close to the database.
Realtime subscriptions for live dashboards and collaboration, plus Storage buckets with signed URLs and RLS-backed access rules for files, uploads, and media.
We turn Postgres into your vector store with pgvector, embeddings, similarity search, and RAG pipelines that let your product retrieve and reason over your own data without a separate vector database.
We do not just spin up a project and start adding tables. Every Supabase backend we deploy is modeled, secured, and hardened before it touches production.
Data modeling and security gap analysis
Technical blueprint & RLS audit
Schema, RLS, auth, and edge function design
Postgres schema & policy map
Migrations, edge functions, realtime, pgvector
Live, tested, secured backend
Monitoring, scaling, and upgrades
Ongoing reliability protocol
Another quick-start tutorial will not fix an insecure backend. You need a partner who understands both Postgres internals and Supabase's auth, RLS, and edge runtime, from policy design to pgvector at scale.
A senior engineer directs a fleet of agents across Postgres schema, RLS policies, auth claims, and edge functions, the security edge cases tutorials never cover, at a team's pace.
RLS on every table, locked-down service keys, verified webhooks, and tested policies. Your data stays isolated instead of leaking through the public API.
We build pgvector RAG and embeddings directly in Postgres so your product can retrieve and reason over your own data, no separate vector store.
Standard Postgres and open-source Supabase with full migrations and documentation. No lock-in, your backend stays portable.
Book a strategy call and we will map your data model, security gaps, and the hardened Supabase backend, schema, RLS, auth, and pgvector, that should power your product.
In this call, we'll walk through your project scope, timeline, and goals - so we can both check if we're a fit. No obligation, no slide deck, just a working session.
Share the product and data model you want to build on, then schedule the call on this page.
Choose a time for your free 30-minute strategy call. Live availability is shown in your timezone.
In this call, we?ll walk through your project scope, timeline, and goals?so we can both check if we?re a fit. No obligation, no slide deck, just a working session.
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Before we build
Practical answers about scope, delivery, ownership, and working with ManasFlow.
Yes, on every table. RLS is the core of Supabase security, without it, your anon key can expose the whole database. We write, test, and document policies so each row is only readable and writable by who it should be, including multi-tenant isolation.
Yes. We design normalized schemas with proper indexes, foreign keys, and version-controlled migrations, and we refactor existing schemas that were never built for scale, without losing your data.
Yes. We build Deno edge functions for server-side logic, configure Supabase Auth with custom JWT claims and role-based access, and verify webhooks so your business logic runs securely close to the database.
Yes. We use pgvector to turn Postgres into your vector store, storing embeddings, running similarity search, and building RAG pipelines so your product retrieves and reasons over your own data without a separate vector database.
Yes. For production backends we recommend ongoing monitoring, query and index tuning, connection pooling, backups, and version upgrades so growth and Supabase changes never silently break your app.
A fleet of agents writes and tests RLS policies, schema migrations, and edge functions in parallel, while the engineer reviews every security-critical decision, so coverage matches a team without the headcount.
Supabase is good for shipping a product fast on real Postgres, with auth, storage, realtime and edge functions included. It bites when tables go live without Row Level Security, when the schema is never designed, or when a service key ends up in client code. Each of these can expose your data.
Check whether every table in an exposed schema has Row Level Security enabled with policies, whether the service role key appears anywhere in frontend code, and whether storage buckets are public. We run these checks in the audit, then test policies as each user role to confirm what each one can read.
Use Supabase when you want Postgres plus auth, storage and realtime without running them yourself. Build your own when you need heavy custom infrastructure or hosting rules Supabase cannot meet. Because Supabase is standard Postgres, moving later is possible, and version-controlled migrations make that easier.
A freelancer often builds features without a security review. We write Row Level Security policies for the tables in scope, test them per role, version every migration and document the data model, so the next developer, ours or yours, can change the backend without reopening holes.
Yes. AI-built apps often create tables quickly without access rules or indexes. We audit the schema, add and test Row Level Security, move secrets server-side and add migrations, without rebuilding the frontend you already have.
For most products, pgvector in the same Supabase Postgres is enough and keeps your data and access rules in one place. We suggest a separate vector database only when volume or query patterns clearly outgrow Postgres, and we say so during the audit, not after the build.