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Building an Agentic F1 Strategy Engine with InfluxDB 3

July 28, 2026 | 8am PT | 4pm BST

What does it take to predict an F1 pit stop in real-time? Tire wear, rival pace, track position—there are dozens of signals, and only milliseconds to act.

Rohan Chandrashekar built a solution: a five-agent AI system, orchestrated with LangGraph, that ingests live F1 telemetry and generates race strategy on the fly. InfluxDB 3 is the data layer powering it all: 32 live dashboard panels, no pre-aggregation, and native SQL that turns a three-query Flux calculation into a single line.

Join us to see how it was built and what InfluxDB 3 made possible.

What's on the agenda:

  • How five AI agents are structured and orchestrated with LangGraph
  • Live dashboard architecture: 32 panels, real-time ingestion, no pre-aggregation
  • The 2.x to InfluxDB 3 migration: what got simpler, what needed work

Can't make it live? Register anyway to receive the recorded session.

 

Rohan Chandrashekar

MS Computer Science candidate at Arizona State University