→ USE CASE · REAL-TIME ANALYTICS DASHBOARDS
Massive data. Fast visuals. Decisions on time.
A dashboard that takes 8 seconds to load is a dashboard nobody uses. Building dashboards that hold up at thousands of points without lagging requires specific decisions in pipeline, aggregation, and rendering — not just a Chart.js stuck on an API.
→ TYPICAL STACK
How we put it together.
Pipelines with ClickHouse or Postgres + materialized aggregations. Frontend with Recharts or D3 depending on complexity. WebSockets for live updates. Cloudflare cache when the data allows.