I will setup your supabase database with rls rpcs and migrations

S
scseagle
S
scseagle
Bonsu

About this gig

I set up production-ready Supabase Postgres backends with proper Row Level Security, atomic RPCs, hand-written SQL migrations, and real integration with Django, FastAPI, or Next.js.


I've shipped Supabase Postgres in production on bonsu.world with 29 hand-written SQL migrations, atomic ledger operations via RPCs, RLS on every user table, pg_cron scheduled jobs, and pgvector for RAG. Not a template real production engineering.


WHAT YOU GET:

- Database schema tailored to your app

- Row Level Security policies enforced at DB level, not app layer

- Atomic Postgres RPCs for correctness (no race conditions)

- Hand-written SQL migrations you can version control

- Triggers and CHECK constraints where needed

- Optional: pg_cron scheduled jobs, matview optimization


WHY ME:

- Live production Supabase at bonsu.world not a portfolio mockup

- I have debugged the hard stuff: RLS lockouts, cache poisoning, race conditions

- Django + Supabase + Next.js integration all first-hand


WHAT I NEED FROM YOU:

- Your app requirements or existing schema

- Preferred stack (Django, FastAPI, Next.js, etc.)

- Which Supabase tier you are on


Turnaround: 3-7 days depending on tier.

Get to know Bonsu

Bonsu

AI RAG Full Stack Web Developer

  • FromAustralia
  • Member sinceMay 2022
  • Avg. response time15 hours
  • Languages

    English
I build production AI systems — RAG chatbots, LLM pipelines, and full-stack apps — that ship real code, not prototypes. Over 6 months I built and deployed bonsu.world solo: Django, Supabase, pgvector, Claude + Gemini. Real cost engineering at ~$0.002 per RAG query. Live at bonsu.world/intelligence. Stack: Python, Django, Supabase, PostgreSQL, pgvector, Claude, Gemini, OpenAI, Next.js, TypeScript. Need production AI on your documents — not a "ChatGPT wrapper"? I build it with tests, docs, and deployment.

Other Software Development Services I Offer