Case Study

❤️ MagnoliaDate.com

Social Networking / Dating / B2C SaaS

Overview

Built a custom social networking and dating platform on Laravel featuring a multi-criteria matchmaking engine, hybrid database architecture for performance at scale, and a fully automated Stripe subscription billing system — growing to over 20,000 active users.

Business Problem

The client needed a scalable social + dating platform that could handle high-frequency user interactions, intelligent matchmaking, and automated recurring revenue — without the limitations of off-the-shelf templates that couldn't support the data complexity or user volume they were targeting.

Project Metadata

Industry Context Social Networking & Online Dating — Consumer B2C SaaS
Engagement Type Lead Backend Architect & Developer (Sole Backend Developer)

Platform Preview

MagnoliaDate.com Platform Preview

System Architecture & Matching Engine

            graph TD
              Client[Web & Mobile Frontend] --> App[PHP Core Platform]
              App --> Redis[Redis Sessions / Active Chats]
              App --> DB[(MySQL User Clusters)]
          

What Was Built & Engineered

  • Hybrid Storage Strategy: MySQL handles relational user data and match records; MongoDB stores high-frequency chat logs separately to prevent write contention and keep SQL tables lean.
  • Redis Presence Layer: Online/offline user status offloaded entirely to Redis, eliminating expensive real-time MySQL polling and keeping presence lookups under milliseconds.
  • Multi-Criteria Matchmaking Engine: Custom Laravel algorithm scoring compatibility across multiple profile dimensions with optimised query execution.
  • Stripe Subscription Billing: Full subscription lifecycle management — plan creation, recurring billing, webhook-driven payment recovery for failed charges.

Verified Outcomes & Impact

  • ✅ Scaled to 20,000+ active users without database bottlenecks
  • ✅ Redis presence cache eliminated MySQL overload during peak concurrent usage
  • ✅ Automated Stripe webhook processing recovered failed payments with zero manual intervention
  • ✅ Hybrid MySQL + MongoDB design kept query performance consistent as user data grew

Interested in a similar build?

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