NovaGen

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Projects/FlowChat MessengerCommunication / Social

Case Study

FlowChat Messenger

A next-generation messaging platform engineered for instant delivery and seamless cross-platform synchronization.

The Challenge

Understanding the Problem

The client needed a messaging solution capable of delivering messages in under 100ms across diverse network conditions while maintaining perfect state synchronization between web, iOS, and Android clients. Existing solutions suffered from message duplication, ordering issues, and poor offline handling.

Our Approach

We designed a custom architecture from the ground up, leveraging WebSocket technology with intelligent fallback mechanisms and a Redux-based state management system that ensures consistency across all platforms.
Phase 1
AI Smart Replies with GPT-4 Integration
Phase 2
Voice-to-text Neural Engines
Phase 3
Ephemeral Messaging Modes
Phase 4
Cross-Platform Desktop Apps

The Solution

Custom WebSocket implementation with a Redux-based state management system. Built-in message queue with exponential backoff for reliable delivery even in challenging network conditions.

  • <50ms Message Latency
  • 99.99% Uptime
  • 500K+ Daily Active Users

The Outcome

Achieved sub-50ms message delivery in optimal conditions with 99.99% delivery success rate. The platform now handles 500K+ daily active users with zero message loss.

Impact: 500K+ Daily Users

Technical Deep Dive

Engineering Excellence

A comprehensive look at the technical architecture and implementation details that power this solution.

architecture

Built on a Microservices architecture using Docker containers. Implemented a custom 'Message-Queue' logic for offline delivery with automatic retry and deduplication.

security

End-to-end Signal Protocol implementation for private chats. Zero-Knowledge storage ensures even NovaGen cannot read user messages. Full GDPR compliance.

System Architecture

Client App

Flutter/React Frontend

Load Balancer

Nginx / AWS ELB

WebSocket Gateway

Node.js Cluster

Redis Pub/Sub

Message Broker

PostgreSQL

Persistent Storage

WSS / HTTPS: clientlb
Sticky Sessions: lbws
Publish Event: wsredis
Async Write: wsdb

Development Journey

From Concept to Launch

3 weeks

Discovery & Architecture

Conducted deep-dive workshops to gather core requirements, finalized the event-driven microservices architecture, and selected the WebSocket protocol for real-time bidirectional communication.

8 weeks

Core Engine Development

Engineered the high-performance WebSocket infrastructure capable of handling millions of concurrent connections, implemented the custom message queue for guaranteed delivery, and built the centralized state management system.

6 weeks

Cross-Platform Clients

Developed the responsive React web dashboard and high-performance Flutter mobile applications, ensuring pixel-perfect design consistency and unified logic across Android, iOS, and Web platforms.

4 weeks

Security & Optimization

Seamlessly integrated End-to-End Encryption (E2EE) using the Signal Protocol, conducted rigorous penetration testing, tuned database queries for <5ms latency, and optimized payload sizes for mobile networks.

3 weeks

Launch & Monitoring

Executed a staged rollout strategy starting with beta users, set up comprehensive 24/7 proactive monitoring dashboards using Grafana/Prometheus, and established a dedicated support pipeline for immediate issue resolution.

Measurable Impact

Key Results

Primary Outcome
500K+ Daily Users

Direct business value delivered.

<50ms
Message Latency
Average delivery time in optimal conditions
99.99%
Uptime
Platform availability over 12 months
500K+
Daily Active Users
Peak concurrent connections handled

Impact Analysis

Message Latency

Before

800ms

After

45ms

17x Faster

Server Cost

Before

$450/mo

After

$120/mo

73% Savings

Conc. Users

Before

5,000

After

500,000

100x Scale

Technology Stack

Tools & Frameworks

FlutterFirebaseReduxWebSocketsDockerNode.jsPostgreSQLRedis

Implementation

WebSocket Connection Hook

Core hook handling automatic reconnection with exponential backoff.

logic.ts
1const useWebSocket = (url: string) => {
2 const [socket, setSocket] = useState<WebSocket | null>(null);
3 const retryCount = useRef(0);
4
5 const connect = useCallback(() => {
6 const ws = new WebSocket(url);
7
8 ws.onopen = () => {
9 console.log('Connected');
10 retryCount.current = 0;
11 };
12
13 ws.onclose = () => {
14 // Exponential backoff strategy
15 const timeout = Math.min(1000 * 2 ** retryCount.current, 30000);
16 setTimeout(connect, timeout);
17 retryCount.current++;
18 };
19
20 setSocket(ws);
21 }, [url]);
22
23 useEffect(() => {
24 connect();
25 return () => socket?.close();
26 }, [connect]);
27
28 return socket;
29};

Performance

Performance Audits

98
Performance
100
SEO
96
Accessibility
100
Best Practices
"FlowChat transformed how our team communicates. The speed and reliability are unmatched."
CTO, TechStartup Inc.
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