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Over the weekend, I sent out the first special edition of this newsletter. It’s so I can optimize how long these weekly reads get! If you tuned in to the extra, thank you!

This Week:

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Hot Take & AI Headline This Week

More data isn’t the same as more insight.

We’re all guilty of it—a shiny new object collecting even more data about our health, promising behavior change, better performance, longer life. But what does the average consumer actually know about HRV? Strain? Most people don’t even understand their sleep stages. They try different activities, watch the numbers shift, and hope something clicks. But what does that actually tell someone?

Data without context is just noise. And right now, wearables are very good at collecting. They’re not yet very good at translating.

This week’s headline is a glimpse at what happens when someone tries to fix that.

This week’s headline:

Fort—The First Wearable Built Specifically for Strength Training

What’s happening?

Built by ex-Tesla & SpaceX engineers and backed by Y Combinator, Fort is a screenless wristband designed to do what no mainstream wearable has seriously attempted: track strength training with precision.

It auto-detects 50+ exercises, counts reps, and measures bar speed, range of motion, and proximity to failure…all from your wrist! It breaks sessions down by muscle group, showing whether each one received maintenance, growth, or overload stimulus. It also tracks sleep, stress, HRV, and cardio, and the charging case doubles as an external motion sensor for lower-body equipment tracking.

Why this matters:

Every major wearable tracks your run. None of them track your lift. The “traditional strength training” option on our Apple watches isn’t exactly…accurate? And it doesn’t tell us much. This gap has existed for years, and it exists because strength training is harder to quantify than steps or heart rate. Fort is the first serious attempt to close it.

But the bigger story here isn’t the hardware. It’s the question underneath it: what happens when wearable data gets specific enough to actually mean something to the person wearing it?

High-level takeaways:
  • Wearables have always been better at cardio metrics than resistance training. Fort is a direct challenge to that gap.

  • Specificity is the missing ingredient in consumer health tech. Broad data collection hasn’t driven the behavior change it promised.

  • The next frontier isn’t more sensors. It’s better translation of what the data means.

  • AI is the layer that could finally bridge raw biometric data and actionable insight, but only ifi t’s built with the end user’s health literacy in mind.

What to pay attention to:

Watch whether Fort's AI layer actually explains what the data means, or if it just displays it more attractively. The wearable that wins long-term won't be the one with the most sensors. It'll be the one that helps users understand what to do next and why

Why this matters to OT:

Occupational therapy practitioners have always operated at the intersection of data and meaning. We don't just assess; we translate. We take a functional mobility score, a cognitive screen, and a caregiver report, and we turn them into a plan that makes sense for that specific person's life.

Wearables are generating more functional data than ever: activity tolerance, sleep quality, movement patterns, and physiological stress. But data literacy among patients and clients hasn't kept pace. That's an occupational therapy problem as much as it is a technology problem.

As these tools become more common in rehab, home health, and wellness settings, OTPs will increasingly be the ones helping clients understand what their devices are actually telling them and what to do about it. That's not a peripheral role. That's core OT.

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