How a Whoop Fitness Tracker Identifies Unpopular Colleagues

September 26, 2026, 5:14 pm | Read time: 2 minutes

Almost every office has them, and there’s hardly any escape: unpleasant colleagues. Everyone knows at least one coworker to avoid or who simply annoys during the 40 hours spent together each week. This can literally get your pulse racing, as one user of a Whoop fitness tracker humorously discovered.

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As reported by “Android Authority,” a Whoop fitness tracker user, Pankaj Tanwar, came up with the quirky idea of combining his wearable’s health data with his work calendar and meeting participants. He focused on changes in his heart rate, stress results, and the overall impact of these factors over a certain period.

In this way, Tanwar created a system that identified connections between certain colleagues and a sudden increase in heart rate. Based on these insights, he was able to compile a ranking of coworkers, organizing them by how much stress they caused in meetings.

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Tanwar shared his humorous experiment on X (formerly Twitter), taking care to hide the names of the human stress factors. He also explained that he used the new Fable model from Claude and custom-written code for this project.

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He also had to reconfigure his Whoop fitness tracker system to provide much more detailed heart rate data than is typically available. He then compared the data with calendar entries and participants.

Besides clear “winners” in the ranking, Tanwar also found colleagues whose results were largely neutral. Additionally, there were individuals who even produced noticeably calmer results—apparently, these are people who reduce Tanwar’s stress. While there’s no exact explanation, one might speculate about personal affinities.

Amusing but Not Perfect

The stress ranking of unpleasant colleagues may be entertaining, but it’s far from perfect. After all, there can be multiple reasons for a temporarily elevated heart rate. Even a bit of hustle, a cup of coffee, or a sweet snack can cause it. Health data without additional context cannot fully capture the overall situation a person was in at a given time.

This article is a machine translation of the original German version of TECHBOOK and has been reviewed for accuracy and quality by a native speaker. For feedback, please contact us at info@techbook.de.