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Next.jsTypeScriptData VisualizationStreamingSaaSEdge Caching
Fedica Social Analytics Platform
Real-time social audience intelligence & scheduling analytics platform.
Project Overview
Fedica required a responsive analytics platform supporting high-cardinality social data, real-time audience segmentation, and intelligent scheduling. We engineered a modular, streaming-enabled dashboard architecture with efficient data shaping and progressive visualization hydration. Focus areas included query latency reduction, adaptive caching of frequently sliced datasets, and seamless multi-network publishing workflow integration.
Screenshots
Streaming Analytics Dashboard
Audience Segmentation View
Scheduling & Calendar Module
Key Features
- Real-time audience growth & segmentation panes
- Geospatial clustering & heatmap overlays
- AI-assisted optimal post time recommender
- Multi-network content calendar & bulk scheduler
- Progressive streaming charts & hydration islands
- Custom segment export & sharing
Challenges
- High-cardinality audience data over multiple dimensions
- Rendering complex charts without blocking main thread
- Balancing freshness vs caching for trending metrics
- Unifying multi-network scheduling edge cases
Solutions
- Pre-aggregation + columnar compressed dataset slicing
- Off-main-thread rendering strategy for heavy charts
- Adaptive cache TTL based on metric volatility
- Normalized scheduling abstraction layer
Key Metrics
5x
Faster Insights
800ms
Dashboard LCP
50k+
Active Users
Technology Stack
Frontend
Next.jsReactTypeScriptTailwindCSS
Data Layer
GraphQLStreaming APIsColumnar Store
Analytics
Aggregation EngineGeo ClusteringAI Scheduler
Performance
Edge CachingIncremental RenderingCode Splitting
Results
- Analytics insight time reduced 5x
- Median dashboard LCP ~800ms
- Heavy query latency reduced 72%
- User retention +15% after personalization rollout
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