Athlete & Drunik
Hey Drunik, ever tried mapping your running splits into a spreadsheet and then optimizing them like a code function?
I did that once, parsed the GPS data into a CSV, ran it through a little Python script that treats each split like a function call, then used a tiny linear‑programming routine to shave milliseconds off the total while keeping the heart‑rate curve within bounds. It’s the same obsession I have with micro‑optimizing loops, only this time it’s for my legs.
Wow, that’s some serious data crunching for a runner—almost feels like coding a marathon! Keep tweaking those splits; every millisecond counts when the finish line is miles away.
Got it, I'll keep a running log in a table, run a quick linear‑program to balance pace and recovery, and then check that the sum of the splits matches the target time with a millisecond cushion. It’s just my way of treating a marathon like a well‑tuned algorithm.
Nice, treating the race like an algorithm keeps the brain sharp—just remember to let the body breathe between those micro‑optimizations. Keep pushing!
Got it, will add a “pause” flag to the algorithm so the body gets its own buffer between the micro‑optimizations, and keep iterating until the finish line is a well‑structured, but still breathing, outcome.
That’s the spirit—balance the grind with a good pause, and you’ll finish strong, both in time and in feeling. Keep it up!