Service Format
Problem
Your product needs a cloud database and API, but data model, access control, and secure boundaries are unclear.
Solution
I set up Supabase end-to-end: schema design, roles and policies, REST API, and baseline integrations.
Result
A production-ready backend layer with predictable data access and a clear integration surface for your app.
Timeline
After the brief and entity model, work goes in phases: schema → access → API → load-path validation.
Collaboration Format
You send the brief and entity description → I design the schema → configure API and access → hand over docs.
Start with the brief
How It Works in Practice
When product data foundations are weak, scaling slows down early. I set up Supabase as a practical backend layer for your workflow.
When This Is Relevant
- You need cloud storage with secure access and a clear data model.
- Your team needs one API surface for multiple clients and tools.
- Current schema design blocks product feature growth.
What I Do in the Project
- I design schema and relationships around real product processes.
- I configure roles, policies, and core API routes.
- I validate key load and integration scenarios.
What You Receive
- Configured cloud database with working security policies.
- REST API and implementation-ready documentation.
- A stable technical base for product growth.
If your data model is still evolving, that is expected. We lock the current entities in the brief and plan staged evolution.
Service Materials and Case Studies
May 20, 2026
A case study of the Viber bot for Smoke Free Cafes Novi Sad: language and category selection, geolocation request, 7 nearest smoke-free venues, and a direct channel to project administrators.
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February 19, 2026
We converted raw real estate deals into a practical Supabase schema, linked projects and developers, added time analytics fields, sped up queries with indexes, and prepared a flat mart for Excel and external API use.
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