/specialization
Lovable + Supabase Development
Schema, RLS, and realtime backends for Lovable frontends — production-safe Supabase.
This page is about the backend half of the stack: Lovable for the UI, Supabase for PostgreSQL, authentication, Row Level Security, and realtime. I design schemas and policies so multi-user Lovable apps do not leak data — not a generic MVP pitch, but the database and security work that makes Lovable products safe at scale.
#what-i-do
#how-i-work
#technologies
#real-projects
Plenypo
A centralized CRM platform for football agents to manage players, contracts, transfers, schedules, payments, and reporting — replacing disconnected tools with one unified system.
unLocked AI
An AI-powered sales assistant for insurance agents that handles lead generation, client retention, follow-ups, and sales strategies using Lovable + OpenAI.
Emtithal+
A Saudi compliance intelligence (GRC) SaaS that uses AI to scan contracts for PDPL violations, monitor regulations, and keep a cryptographically tamper-evident audit trail — built end-to-end with Lovable, Next.js, and Supabase.
#related-expertise
#faq
Why pair Lovable with Supabase?+
Lovable ships UI fast; Supabase provides authentication, PostgreSQL, storage, and realtime. Together they produce real products when schema and RLS are designed correctly.
Do you implement Row Level Security for Lovable apps?+
Yes. I design RLS policies so each user only sees their own data, then verify those policies with real role-based testing before launch.
Can you add realtime chat or live updates?+
Yes. I use Supabase realtime for chat, notifications, and live data updates while keeping access rules enforced at the database layer.
Is this the same as building a full Lovable MVP?+
No. This engagement focuses on schema, auth, RLS, and realtime. For idea-to-live MVP scope including payments and product UX, see Lovable AI MVP Developer.
Have a project in mind?
I typically respond within 24 hours with clear next steps.