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Moloday.com

Comprehensive audit, optimization, and functional rebuild of a complex e-commerce platform selling nutrition courses and products.

Project amount

Project amount

~$65,000

Timeline

Timeline

6 months

Team

Team

6 people

Stack

Stack

PHP (Laravel), React, MySQL, Nginx, AWS

About the Client

Moloday provides online education for nutritionists and sells certified courses, vitamins, and health products through its web platform.

Main request

The existing system was extremely slow and unstable — with pages loading up to 16 seconds, broken referral logic, and inconsistent data across modules. The task was to audit the codebase, remove bottlenecks, and restore full functionality without rewriting the entire platform.

What we did

1

Reviewed backend and database structure, caching logic, and API layer, mapping dependencies between e-commerce, course platform, and referral subsystems

2

Rewrote heavy queries and endpoints that caused long response times, implementing smart caching and adjusting Nginx configuration

3

Designed a multi-level custom referral program supporting tiered rewards, conditions, and exceptions with flexible admin panel

4

Organized tasks in Kanban, introduced short iteration cycles with client demos and cleaned repository structure with environment isolation

5

Introduced log-based error tracking and alerting with performance dashboards and daily auto-reports

Problem solving

We treated the project like a rescue operation — not a redesign. The main value came from deep diagnostics, methodical optimization, and restoring trust in the platform's data and logic. Each improvement was validated with metrics, turning a struggling platform into a reliable system.

Before

16 s average page load
Referral bugs and missing records
Disconnected codebase
Manual partner payouts
No monitoring

After

<1 s load time
Stable multi-level system with analytics
Clean modular structure with CI/CD
Automated validation and distribution
Full performance and error tracking

Result

Moloday.com is now fast, stable, and transparent for both users and administrators. The new referral system became a measurable sales driver, and the company's team regained confidence in deploying updates safely.

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