Contribution January 2026

MLM Referral Engine Overhaul – Scaling from 2-Level to 4-Level Structure

Redesigned core commission logic, binary payout rules, and user hierarchy visualization in a Laravel-based MLM platform — improving scalability, accur...

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MLM Referral Engine Overhaul – Scaling from 2-Level to 4-Level Structure

Case study

About this project

Redesigned core commission logic, binary payout rules, and user hierarchy visualization in a Laravel-based MLM platform — improving scalability, accuracy, and user transparency.

Key Changes Implemented:
- Extended referral tree depth from 2 → 4 direct levels
- Rewrote referral commission calculation engine (dynamic % per level)
- Updated binary commission logic to support 4-level matching & spillover
- Modified user hierarchy API endpoints (Laravel Eloquent + recursive queries)
- Redesigned frontend tree visualization (Bootstrap + custom JS) to dynamically render 4-level structures.
- Added real-time commission preview & admin validation rules

Project details

Project date January 2026
Project URL Not available
GitHub Not available

Technologies used

Laravel HTML CSS Ajax SQL Cpanel Server Deployment JavaScript Bootstrap

Problem

Every project starts with a clear understanding of the core challenges, technical constraints, and business goals.

Solution

I focus on delivering clean, scalable code and a robust architecture to build long-lasting, maintainable systems.

Result

The outcome is always centered on providing tangible business value, excellent performance, and a smooth user experience.

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