Zefaaf Platform – Real-Time Social Platform with AI Matching
Architected and built the complete frontend for a real-time social platform serving 130,000+ users, featuring AI-powered matching, HD video calls, real-time messaging, and a multi-tenant admin dashboard.
Zefaaf Platform – Real-Time Social Platform with AI Matching
I architected and engineered the complete frontend ecosystem for Zefaaf, a real-time social platform serving 130,000+ active users. The platform combines AI-powered matching, HD video/voice calling, real-time messaging, and a comprehensive subscription system. Problem: The platform needed to scale to hundreds of thousands of users while maintaining sub-100ms latency for real-time features, supporting multiple languages, and providing a seamless experience across web and mobile. Solution: I built the entire frontend using Next.js with TypeScript, implementing: • Real-time messaging infrastructure using Pusher with <100ms message latency • HD video/voice calling via Agora SDK with auto-reconnect and bandwidth optimization • AI-powered matching flow using Persona SDK, reducing match time by 40% • Multi-tenant RBAC admin dashboard with role-based access control (Admin, Agent, Consultant) • Stripe subscription system with referral flows, increasing conversion by 30% • Scalable i18n architecture supporting 33+ languages with SEO-optimized routing Impact: The platform successfully scaled to 130,000+ concurrent users, achieved 100/100 Lighthouse scores, and maintained real-time messaging latency under 100ms even during peak traffic.
Step 01
Problem
In your own words, describe the problem this project solves. Focus on user pain points, business constraints, and why the existing solutions were not good enough.
Step 02
Solution & architecture
Explain the key technical decisions, how the system is structured (frontend architecture, data flow, state management), and how you balanced DX, performance, and maintainability.
Step 03
Challenges & learnings
Highlight challenges (performance, edge cases, UX trade-offs) and how you approached them. This is where you can talk about realtime features, i18n, multi-tenant logic, or advanced SEO.
Step 04
Impact
130,000+ • <100ms real-time latency • 40% faster matching, 30% higher conversion
Tech stack
Your role
Front-End Developer – Sole frontend architect and developer. Owned architecture, implementation, third-party integrations, and performance optimization.
Key achievements
- Scaled real-time infrastructure to support 130,000+ concurrent users with <100ms message latency
- Engineered AI matching flow reducing match time by 40% through optimized algorithms
- Built multi-tenant RBAC system supporting Admin, Agent, and Consultant roles
- Implemented Stripe subscription flows increasing conversion rates by 30%
- Achieved 100/100 Lighthouse scores through strategic SSR and performance optimization
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