GoKawiilSanuj Bhatia / Android Authority
TL;DR A WHOOP user built an AI-powered stress leaderboard that ranks coworkers based on heart-rate spikes during meetings.
The project used reverse-engineered WHOOP data, Claude’s Fable model, and calendar events to match stress responses with meeting attendees.
While far from scientifically perfect, the experiment showcases a creative and unexpected use of AI, and wearable data.
Every workplace has its share of stressful personalities. If none of your coworkers come to mind, there’s a chance your colleagues have you on their list instead. One WHOOP user put that exact idea to the test, using wearable data to uncover the biggest sources of his workplace stress. The results were both amusing and surprisingly insightful.
By combining data from his WHOOP fitness tracker with his work calendar, Pankaj Tanwar created a system that identifies which colleagues are most closely linked to spikes in his heart rate. This eventually led him to a personal “stress leaderboard” that ranks coworkers based on how much stress they appear to cause during meetings.
He shared the experiment on X, posting a screenshot of the leaderboard while wisely keeping everyone’s identities hidden. The dashboard breaks down meetings using metrics such as heart-rate increases, stress scores, and cumulative impact over time.
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According to Tanwar, the project was powered by Claude’s new Fable model alongside some custom code. To make it work, he reverse-engineered parts of WHOOP’s system to access minute-by-minute heart rate data, something the wearable doesn’t normally expose to users at that level of detail. He then cross-referenced those readings with calendar events and attendee lists to identify which meetings consistently coincided with elevated heart rates.
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