Developer Uses DeepSeek to Reverse-Engineer Xiaomi Fitness Calorie Algorithm
10/21/2026 — 10/21, 21:17·1 sources (all)·1 reports (all)
Key takeaways
- A developer used DeepSeek to reverse-engineer Xiaomi's fitness pedometer algorithm, uncovering logic bugs, extreme thresholds, and calculati…
Background & analysis
On October 21, 2026, according to a V2EX report, a programmer who grew suspicious of fluctuating calorie data despite maintaining a consistent daily workout routine used DeepSeek to reverse-engineer the step-counting algorithm of the Xiaomi Sports app when used without a wristband. The analysis revealed that the core logic relies on categorizing steps per minute into distinct tiers: 0.04 calories per step for 138 steps per minute or fewer, 0.06 calories per step for 139 to 277 steps, and 0.10 calories per step for 278 steps or more. The reverse engineering showed that the highest tier requires a frequency equivalent to top sprinters sustained for a full minute, which is practically unattainable for humans, meaning only the first two tiers are effectively utilized. Additionally, the algorithm introduces calculation errors due to rounding during distance computations at each synchronization interval, and suffers from a bug where calories are repeatedly accumulated within the same minute.
AI-generated from 1 reports · updated 16 hours ago
Latest turnA developer used DeepSeek to reverse-engineer Xiaomi's fitness app calorie calculation algorithm when carrying a phone without a band. The analysis revealed that the algorithm relies on simplistic minute-based step brackets, suffers from rounding errors in distance calculation, and contains bugs that repeatedly accumulate calories.
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A developer used DeepSeek to reverse-engineer Xiaomi's fitness app calorie calculation algorithm when carrying a phone without a band. The analysis revealed that the algorithm relies on simplistic minute-based step brackets, suffers from rounding errors in distance calculation, and contains bugs that repeatedly accumulate calories.
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