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How I Built a Natural Language F1 Telemetry Analyzer with FastF1 and Claude

DEV Community: ai·Lucas·4 months ago
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Ask "Did McLaren's undercut on Ferrari work?" and get a real answer — backed by actual lap data. The Problem Formula 1 analysis is data-rich but tool-poor for non-engineers. A journalist covering a race weekend has to juggle timing sheets, telemetry exports, strategy briefings, and their own notes — all in different formats, none of them speaking to each other. I wanted to build something that let a journalist (or any F1 fan with technical curiosity) ask questions in plain Spanish and get answers grounded in real telemetry data — not hallucinated summaries, not Wikipedia facts, but actual FastF1 lap data from that specific race weekend. The result is F1 Analyst Pro : a Streamlit chat app that ingests FastF1 session data into Supabase, builds structured context from SQL queries, and sends it to Claude Sonnet for natural language analysis.…

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