This is a submission for the Redis AI Challenge: Beyond the Cache.
What I Built
SocialSync is a unified social media management platform that aggregates content from multiple social networks using Redis 8's search, streams, and pub/sub capabilities as the core data processing engine. The system provides real-time content monitoring, sentiment analysis, and engagement tracking.
Key features:
- Multi-platform social media content aggregation
- Real-time sentiment analysis and trending detection
- Advanced content search and filtering
- Automated response management
Demo
🔗 Live Demo: https://socialsync-platform.vercel.app
📹 Video Demo: https://youtu.be/demo-socialsync
Screenshots:
- Unified social media dashboard
- Real-time sentiment analysis charts
- Advanced search and filtering interface
How I Used Redis 8
Redis 8 powers SocialSync through multiple capabilities that extend far beyond caching:
Advanced Search Engine: Built a comprehensive content search system using Redis 8's full-text search capabilities. Social media posts are indexed with metadata, hashtags, mentions, and sentiment scores, enabling complex queries like "positive posts about tech from last week".
Stream Processing Pipeline: Implemented Redis Streams to process incoming social media data from multiple APIs. Different consumer groups handle content ingestion, sentiment analysis, trend detection, and notification delivery with guaranteed ordering.
Real-time Analytics Database: Used Redis 8 as the primary analytics database with time-series data structures tracking engagement metrics, follower growth, and content performance across platforms in real-time.
Content Classification: Leveraged Redis 8's data structures to build a content classification system. Posts are categorized, tagged, and ranked using sorted sets and hash structures for instant retrieval and analysis.
Pub/Sub Notification System: Implemented a sophisticated notification system using Redis pub/sub channels. Users receive instant alerts for mentions, trending content, and engagement milestones across all connected platforms.
Multi-Tenant Data Management: Designed a multi-tenant architecture using Redis 8's namespace features and data structures to isolate customer data while maintaining high performance across thousands of concurrent users.
Geographic and Temporal Indexing: Utilized Redis 8's geospatial commands and sorted sets to index content by location and time, enabling location-based content discovery and time-series analysis.
The platform processes over 1M social media posts daily while providing sub-second search results and real-time analytics.
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