F1 DataStop
Live formula 1 news and race data
What it does
Get real-time Formula 1 news, race data, and analysis with F1 DataStop
Does a similar job
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- UFUndercutf1 – F1 Live Timing TUI with Driver Tracker, Variable Delay2025 · github.com · ▲301
undercutf1 is a F1 live timing app, built as a TUI. It contains traditional timing pages like a Driver Tracker, Timing Tower, Race Control, along with some more detailed analysis like lap and gap history, so that you can see strategies unfolding. I started to build undercutf1 almost two years ago, after becoming increasingly frustrated with the TV direction and lack of detailed information coming out of the live feed. Overtakes were often missed and strategies were often ill-explained or missed. I discovered that F1 live timing data is available over a simple SignalR stream, so I set out…
- FCF1 COSMOS – Live timing and data dashboard for F1 fans2025 · f1cosmos.com · ▲8
Hey everyone! I'm a huge F1 fan and got tired of juggling multiple tabs and apps during race weekends, so I built F1 COSMOS. What it does: - Live timing: Real-time data updates in milliseconds - sector times, telemetry, team radio, you name it. No more refreshing pages or waiting for delayed updates. - Replay feature: Missed qualifying or fell asleep during practice? You can replay the live timing from any past session. Pretty handy when you're in a bad timezone. - Proper data visualization: I went beyond just showing lap times. There's race analysis with telemetry data, championship…

More growth this month
the category →Launched alongside, April 2025
the whole month →- IB
Hi everyone, I built PyXL — a hardware processor that executes a custom assembly generated from Python programs, without using a traditional interpreter or virtual machine. It compiles Python -> CPython Bytecode -> Instruction set designed for direct hardware execution. I’m sharing an early benchmark: a GPIO test where PyXL achieves a 480ns round-trip toggle — compared to 14-25 micro seconds on a MicroPython Pyboard - even though PyXL runs at a lower clock (100MHz vs. 168MHz). The design is stack-based, fully pipelined, and preserves Python's dynamic typing without static type restrictions.…
Dev tools · 2025 · runpyxl.com
- UC
Life & fun · 2025 · filiph.github.io
- IB
https://the-pocket.github.io/Tutorial-Codebase-Knowledge/
AI · 2025 · github.com


