The Quantum Computer Was Right About Pogačar by 84 Points. Four Editions of Data Say That Was a Coin Flip.
I graded the quantum-picked fantasy team against a hindsight-optimal ILP and four editions of Velogames data. It scored 11,924 and finished outside the top 300. The Pogačar call was correct and worth 0.57%; the real loss was 2,859 points of budget allocation, traceable to a single ranking error at 24 credits.
I Picked My Tour de France Fantasy Team With a Real Quantum Computer. It Told Me Not to Buy Pogačar.
I optimized my Tour de France fantasy roster with real IBM quantum hardware: gate-based QAOA, not a hybrid solver. A provably lossless 172-to-45 rider reduction, an exact classical ILP baseline, and four real QPU jobs later, the optimal team benches Pogačar, and a trained 21-qubit circuit found that exact optimum twice through the noise.
The 80MB "Hello World": Why Your Framework Is a Liability
A fresh React Native "Hello, World" ships 50-80MB of native libraries and boots an entire second runtime before it draws a pixel; the same app in native Kotlin lands under 500KB. Binary size and boot latency aren't implementation details, they're user-facing costs paid on every install and every cold start.