Apex Analytics
A real-time SaaS analytics dashboard processing 10M+ events daily with live collaboration.
Client
Apex Analytics Inc.
Timeline
16 Weeks
Role
Full-Stack Engineering
Stack
Real-time event processing
30-day user retention rate
Complex queries in under 1 second
Concurrent collaborators per workspace
The Challenge.
The client's analytics tool was built on a monolithic PHP backend that couldn't handle real-time queries — dashboards took 15+ seconds to load during peak hours.
Apex Analytics serves product teams at fast-growing startups who need instant answers. Their legacy system was built for batch processing, but customers demanded live data, collaborative dashboards, and sub-second query responses.
We were hired to rebuild the entire frontend as a modern SaaS application with real-time data streaming, live cursor collaboration, and a query engine that could crunch millions of events without making users wait.
Key Objectives
- 01Build a real-time dashboard with WebSocket-powered live updates
- 02Implement collaborative features with live cursors and shared filters
- 03Optimize complex analytical queries to execute in under 1 second
- 04Design a premium dark-mode analytics UI with customizable layouts
Engineered for Impact.
Live Dashboards
Real-time data visualization with WebSocket streaming, updating charts and metrics without page refresh.
Team Collaboration
Live cursors, shared filters, and real-time commenting — like Figma, but for analytics dashboards.
Mobile Analytics
Responsive dashboard with touch-optimized controls for monitoring KPIs on the go.
Sub-Second Queries
Redis caching layer with materialized views reduces complex analytical queries from 15s to under 800ms.
Built on a
Modern Foundation.
We don't use page builders. We engineer robust software using the same tech stack as industry giants like Netflix and Uber.
Next.js 14
App Router with streaming SSR for instant dashboard load times.
PostgreSQL + Redis
Materialized views for fast queries, Redis for real-time caching.
TypeScript
Full-stack type safety from database schemas to UI components.
Recharts + D3
Custom charting library built on D3 primitives for pixel-perfect data viz.
Immersion in High Fidelity.
// Dark-mode dashboard with real-time charts and customizable widgets.
// Live cursors and shared filters for team-wide analytics sessions.
// Touch-optimized mobile dashboard for monitoring KPIs on the go.