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I was in a meeting about brain-computer interfaces, literally discussing the future of neuroscience,when I realized I hadn't absorbed a single word in the last ten minutes.
That moment changed everything for me.
Not because I was embarrassed. Because I'm a neuroscientist, and if I couldn't tell when my own brain was struggling, how is anyone else supposed to?
It helped me realize: the greatest pandemic of the 21st century isn't viral,it's mental.
The Data We're Ignoring
Cognitive decline starts in your thirties now. Not your seventies,your thirties. The WHO updated their guidelines, but we're all walking around pretending everything's fine.
We joke about brain fog at 35. We normalize feeling mentally drained by 3 PM. We've convinced ourselves this is just what being an adult looks like.
Here's what the research actually shows: knowledge workers are operating at roughly 60% cognitive capacity on any given day. We've measured this,EEG sensors on software engineers, executives, consultants, lawyers. Weeks of data.
These are brilliant people who have no baseline for comparison. It's like being colorblind but not knowing colors exist.
The economic impact? $1.1 trillion annually in lost productivity. Not healthcare costs-,just people whose brains aren't firing on all cylinders anymore. By 2030, that number hits $2 trillion globally.
Why Traditional Healthcare Can't Solve This
Modern medicine waits for you to be sick before it tries to help you.
Your car warns you when it needs an oil change. Your phone tells you when the battery's low. But the most complex machine in the known universe, your brain, gets maybe one checkup per decade, and only after something's already broken.
I've talked to neurologists who see patients with "early-stage" cognitive decline who've probably been declining for twenty years. By the time traditional tests detect problems, you've already lost decades of peak performance.
That's not early detection. That's damage control.
What Changed My Perspective
We built technology that lets you see what your brain is doing in real-time. Not in a lab. Not hooked up to machines that cost more than a house. Right now, while you're living your actual life.
The first time I put on our prototype and watched my own brain activity, everything clicked. I could see when I was mentally sharp, when I was starting to fade, when I needed a break versus when I was just being lazy.
Once you can see what your brain is actually doing, you can't go back to guessing.
Sarah, one of our early users, discovered her brain enters peak performance around 10 PM. She's a night owl in a 9-to-5 world. For years she thought something was wrong with her. Now she schedules her most important work when her brain is actually ready for it. Her creative output increased 400% in six months.
That's not optimization,that's understanding yourself.
What We're Building At Neurable
We're democratizing neuroscience. Taking insights that used to require a PhD and $100,000 worth of equipment and making them as accessible as checking your step count.
This isn't about turning everyone into productivity machines. It's about finally giving people objective data about the most important part of who they are.
Imagine knowing exactly when your brain is primed for deep work and when it's crying out for rest. Imagine tracking your cognitive fitness the same way you track your physical fitness. Imagine catching mental fatigue before it destroys your entire afternoon.
For the first time in human history, that's actually possible.
The Bigger Picture
Your driver's license has your chronological age, but the "mileage" on your brain can be younger or older depending on how you've used it.
We're heading toward a reality where brain health becomes as trackable and actionable as heart health. Where you don't wait for problems to emerge—you prevent them. Where you understand your cognitive patterns well enough to work with your brain instead of against it.
The companies and individuals who embrace proactive brain health now will have a massive advantage over those who don't. This isn't speculation—the data is clear.
Your brain has been trying to tell you something for years. The afternoon crashes. The creative blocks. The feeling that you used to be sharper than you are now.
You can finally listen.
2 Distraction Stroop Tasks experiment: The Stroop Effect (also known as cognitive interference) is a psychological phenomenon describing the difficulty people have naming a color when it's used to spell the name of a different color. During each trial of this experiment, we flashed the words “Red” or “Yellow” on a screen. Participants were asked to respond to the color of the words and ignore their meaning by pressing four keys on the keyboard –– “D”, “F”, “J”, and “K,” -- which were mapped to “Red,” “Green,” “Blue,” and “Yellow” colors, respectively. Trials in the Stroop task were categorized into congruent, when the text content matched the text color (e.g. Red), and incongruent, when the text content did not match the text color (e.g., Red). The incongruent case was counter-intuitive and more difficult. We expected to see lower accuracy, higher response times, and a drop in Alpha band power in incongruent trials. To mimic the chaotic distraction environment of in-person office life, we added an additional layer of complexity by floating the words on different visual backgrounds (a calm river, a roller coaster, a calm beach, and a busy marketplace). Both the behavioral and neural data we collected showed consistently different results in incongruent tasks, such as longer reaction times and lower Alpha waves, particularly when the words appeared on top of the marketplace background, the most distracting scene.
Interruption by Notification: It’s widely known that push notifications decrease focus level. In our three Interruption by Notification experiments, participants performed the Stroop Tasks, above, with and without push notifications, which consisted of a sound played at random time followed by a prompt to complete an activity. Our behavioral analysis and focus metrics showed that, on average, participants presented slower reaction times and were less accurate during blocks of time with distractions compared to those without them.
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