Become a sponsor to Subhash
Hi, I’m Subhash Gottumukkala – Passionate About F1, Open Source, and Data Storytelling
I’m the creator of Fastlytics, an open-source platform that transforms raw F1 telemetry into interactive visualizations. Using React, Python, and Recharts, I built this tool to democratize access to the technical insights engineers use—so fans can analyze races like never before.
What I’m Building
- Granular Analysis: Compare drivers’ speed traces, tire strategies, gear shifts, and sector strengths for any session or lap.
- Open Collaboration: Fastlytics is MIT-licensed, with features shaped by feedback from r/F1Technical and developers worldwide.
- Community First: From rookie tags to circuit map overlays, every update prioritizes usability for fans and analysts.
Why Sponsorship Matters
Building Fastlytics is a labor of love, but server costs, data APIs, and time investments add up. Your support will:
- Accelerate Development: Fund new features like brake temperature analysis.
- Improve Accessibility: Scale server capacity for real-time data during live races.
- Sustain Open Source: Keep Fastlytics free and open for students, developers, and fans.
Join the Journey
Whether you’re an F1 enthusiast, data engineer, or open-source advocate, your sponsorship helps fuel innovation in motorsport analytics. Let’s make racing data accessible to everyone!
Explore Fastlytics:
GitHub Repo | Live Demo
Featured work
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subhashhhhhh/Fastlytics
A modern web app for Formula 1 data analytics, providing race results, standings, and telemetry charts.
TypeScript 133 -
subhashhhhhh/Recipify
A receipt data extraction system designed to process receipt images and extract key details
Python 4 -
subhashhhhhh/Fastlytics-Backend
Fastlytics Backend API: A RESTful API built with FastAPI for accessing Formula 1 data, designed for the Fastlytics web application.
Python 4