All work
172017TRG Tech

Real-Time Social Sentiment Engine

Challenge

Marketing customers needed near-real-time brand sentiment from 100K+ daily social posts across Twitter, Facebook, Instagram.

Approach

Streaming pipeline classifies sentiment + topic, detects spikes, and pushes alerts to subscriber dashboards.

Impact

  • Processed 100K+ posts/day per tenant
  • Median end-to-end latency under 30 seconds
  • Onboarded 12 brand customers in the first quarter
100K+/day
volume
30s
latency
12
tenants

Tech stack

Node.jsRabbitMQSentiment AnalysisAngular

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AI scoped to this project · Llama 3.3 70B