EnduCloud

13/10/2026

The Top 20 Semi-Finalists of Go Healthy with Taiwan 2026 Have Been Announced! 🌍

This year’s competition received 832 proposals from 62 countries, setting a new record since the program began!
Following a thorough evaluation, 20 teams from 16 countries were selected as semi-finalists, with Israel proudly represented by EnduCloud Ltd.

👏 Congratulations to EnduCloud Ltd. and all the selected teams! Wishing everyone the best of luck in the next stage of the competition. We look forward to seeing the innovative solutions they bring to the global health and wellness sector.

10/10/2026

Physical inactivity among adults worldwide rose from 23.4% in 2000 to 31.3% in 2022. Over those same years, tracking our own activity became ordinary.

A Current Opinion paper published last month in Sports Medicine, from the Global Alliance for the Promotion of Physical Activity (Steinacker, van Mechelen, Engebretsen, Verhagen, Pitsiladis and nearly 150 authors in all), proposes "precision prevention" with physical activity as its central, modifiable anchor behaviour. Omics, AI, digital twins and wearables are all in there. The sentence I keep returning to is in the conclusions: "technological and biological advances alone are insufficient unless they enable sustained behaviour change."

The authors take an established behaviour-change model (information, motivation, behavioural skills) and add person-generated health data as a two-way feedback loop: what the watch, the app and the diary record should flow back into what a person knows, wants and is able to do. Measurement is an input to the loop, not its outcome. They are equally direct about context: activity trackers do little where there is nowhere safe to walk.

Two more points worth taking from it. Clinicians are asked to assess physical activity as a vital sign and to give written, individualised prescriptions. And the evidence they cite for digital tools is modest but real: an umbrella review of 507 RCTs found an average of about 1,300 extra steps a day and 55 more minutes of moderate-to-vigorous activity a week.

To be fair to the paper, it is a conceptual framework, not a trial, and the authors say so plainly.

It is also the problem we spend our days on at EnduCloud: the distance between knowing how you are and knowing what to do next. Most of that distance turns out to be the loop, not the data.

27/09/2026

A vascular surgeon said something recently that I keep coming back to. Want to improve your health? Start by putting on your shoes. Not a run, not a program. Shoes. Start small and build from there, but whatever you do, don't give up.
On a podcast I listened to over the weekend, Dr. Lily Johnston looked back on five years as a surgeon, and her point was that the wins that really matter don't happen in the operating room. They happen on ordinary days, when nobody's watching, and they start with believing that change is possible. Just as important: surgery fixes one blockage, not the disease that has been quietly building for years, so change needs to start decades before symptoms show up.
That's why, for users who aren't athletes, EnduCloud puts the focus on the days between appointments:
• A daily activity goal, alongside the World Health Organization's recommendation
• A reminder at midday and in the evening if you haven't hit your goal yet (if you opt in)
• A mix of aerobic activity and strength training
• Weight and nutrition tracking
• Working with a coach or a therapist? They get your week and can dig into the details

Bottom line, three things do more for your health than anything else, adding years to your life and, more importantly, health to your years: a whole, healthy diet, physical activity, and sleep.

On the daily activity card, tap "Personalize."

13/09/2026

Most of what we were taught about lactate is wrong. Not "outdated nuance" wrong. Backwards.

Lactate was never the waste product. It is a fuel and a signalling molecule, shuttled between muscle fibres and out to the heart, the liver and the brain, oxidised almost as fast as it appears. It is produced continuously, including at rest and at fully aerobic intensities. And it does not cause the burn: acidosis comes from hydrogen ions released elsewhere in the ATP cycle, while lactate production actually consumes protons. A rising blood lactate reading is not a switch flipping from aerobic to anaerobic. It is the balance between appearance and disposal moving.

And then there is 4 mmol/L. The number a generation of us treated as "the anaerobic threshold" is a population average that belongs to nobody. Maximal lactate steady state has been reported anywhere from roughly 2 to 8 mmol/L in trained athletes. Prescribe to the average and you prescribe the wrong intensity to almost everyone. That is the difference between an easy day that is genuinely easy and one that quietly eats the next three.

We see the same error one layer up, in zone charts. Across our athletes who have both ventilatory thresholds actually measured, the bottom of their "threshold" zone under a generic percentage-based chart sat a median of >10 bpm below their real VT2. Over 10 beats, on every tempo session.

So we anchor intensity to the athlete's own measured thresholds rather than to a fixed concentration or a population percentage, and we convert between zone systems through those anchors instead of copying a table. It is the part of EnduCloud we are least willing to approximate.

The physiology moved on decades ago. Most training software has not.

04/09/2026

One of you is abroad on holiday. One works shifts and can only run at 22:00. One moved to Berlin two years ago. You still want to run together.

Together is now rolling out in the EnduCloud pilot: one event, any number of places. Everyone runs their own route, either at the same moment or whenever it suits them inside a window the organizer sets, and a single live board shows the whole group moving through it.

Three things it is for:
A group of friends, scattered. Four people, four cities, one Sunday long run. You watch each other's progress as it happens, and you all finish the same event.
Organized community events. An event like a national memorial run where thousands take part without a single start line. Each participant runs their own race, at their own hour or all at once, and one public board holds the whole thing together. Sharing a link is the entire registration flow.

Live tracking at a real race. Your family follows you through the course from wherever they are, in a browser, with no account and nothing to install.
Your run counts however you recorded it: watch, phone, file import, health platform. The public board shows progress only, never a map trail or a physiological data, and each participant chooses whether their name appears at all.
Rolling out now on the web and Android and iOS following soon. Early, and we would rather say so.

02/09/2026

We went looking through our own database for a signal we suspected was there, and found something worth sharing, including a part that almost fooled us.
The question: when an athlete is getting sick, digging a hole, or simply not absorbing their training, is there a signal in their training data, before they think to mention it?
We have two numbers for the same session. What the athlete said it felt like (1–10), and what our load model (STRSS™) measured it cost, fitted per athlete against their own critical power and threshold, not a generic formula. Over twelve months, 2,322 sessions carried both, from 73 athletes with enough of each to compare.
The first result was a disappointment that turned useful. Perceived effort is a weak predictor of measured load: across the entire 1–10 scale, load moves only about 1.6×. Duration explains roughly five times more. The reason is session structure, as the median session in every rating bucket was about an hour, so a session rated 9 isn't an hour at 9, it's an hour with hard intervals in it. Effort tracks the peak; load accumulates over the whole.
Which means the difference between the two carries information neither carries alone. When that gap stays elevated across consecutive sessions, we checked it against two measurements that had no part in producing it: resting heart rate ran +0.19 sd, HRV −0.32 sd. Two independent autonomic markers moving the way the hypothesis predicts.
The catch is the most useful thing here. Include ratings below 3 and the resting-HR association flips the wrong way - not noise, arithmetic. On a coarse integer scale a step from 1 to 2 doubles any ratio built on it. A metric derived from a low-resolution input has a floor below which it misleads rather than merely wobbles. If you're building on a 1–10 human rating, find that floor before you trust the output.
Effect sizes of 0.2–0.3 sd from 30 episodes are a nudge, not a diagnosis. So it's rolling out in our pilot as an advisory – supportive input next to HRV, resting HR and sleep. It proposes; it never silently changes a plan. Every flag is stored with its numbers so we can score the calls against what actually happened.
Two of our three findings were negative results. That's exactly why the third is worth anything.

22/08/2026

Working on EnduCloud puts me in conversation with a wide range of people: athletes, coaches, physiotherapists, physicians, sport scientists. What has started to stand out is who is never in those conversations.

Two groups are silent. Healthy sedentary adults, who aren't in the room because lack of exercise and its impact on their body is not yet a problem they feel. And less-healthy sedentary adults, who are in the room only by proxy, represented by a clinician describing them through a professional lens.

These are exactly the people with the most to gain from simply becoming more active. The first group is busy with the rest of life, sheltered under an umbrella of not knowing what two or three decades of inactivity are doing on the inside, until the symptoms arrive in their 40s and 50s. The second is stuck because the system holds itself to a standard of care it cannot deliver at scale - time, cost, expertise, level of supervision - and when it cannot meet that standard, it does nothing. Nothing is the most expensive option on the table.

What we are building is the middle: individualised, progressive guidance that starts where the person actually is, adapts to what their body reports back day by day, and gives the professional around them visibility without demanding an hour per patient per week. Not a replacement for a clinician or a coach. A way for one of them to carry a caseload instead of a handful.

In practice that means plans that begin at walking and need nothing more than shoes and a phone. Targets expressed in something the person can feel, rather than a number they need a lab to interpret. And a system that reads sleep, resting heart rate and reported symptoms and adjusts, so that "safely" is a property of the plan rather than a warning printed underneath it.

We are still early. This is a pilot with real users, not a finished product. But the gap here is not a technology gap. It is a supervision-capacity gap, and that one is solvable.

20/08/2026

Last week we argued that data alone is a dashboard, and a loop is a coach. Here's the part we left out: a loop is only as good as what it can see.

You train for about an hour a day. Your body adapts during the other twenty-three, while you sleep, recover, stress, and live. A coach who only sees the workout is coaching with one eye closed.

That's why EnduCloud connects the devices people actually wear: Garmin, Polar, Suunto, Wahoo, Google Health, and listens both during sessions and around the clock: sleep, HRV, resting heart rate, daily load and recovery. Wear more than one? Using wellness Rings and bands? Also fine. The signals are reconciled into a single profile, so a watch on your wrist, bike computer on your bar, and wellness band when you don’t train, don't become multipart-athletes.

That around-the-clock profile is what our AI coach prescribes from. Tomorrow's session isn't picked from a template. It's adjusted to how you actually slept, recovered, and absorbed the last one.

And here's where we're heading, openly labeled as roadmap: an optional layer of more advanced monitors like continuous glucose, blood pressure, dedicated sleep tracking, for people who train for health, and for training that happens under professional supervision, always alongside a medical team. EnduCloud is not a medical device and doesn't diagnose; it turns signals into context, and context into a better plan.

The loop stays the same. We're widening what it sees.

15/08/2026

I swear this is not an invited article

The European Heart Journal published a review on wearable devices and cardiovascular health (Hughes et al., Eur Heart J 2026;47(18):2130-45, open access), and it reads like the design meetings we have every week.
What it says, condensed:
• Wearables on their own produce modest, short-lived behaviour change. Paired with behavioural coaching and professional consultation, the effect holds.
• Detection is not benefit. Smartwatch AF alerts reach impressive predictive values, yet population screening has not shown a stroke reduction. An alert is a starting point, not a diagnosis.
• HRV and cuffless blood pressure are not ready to drive clinical decisions on their own - reference ranges are missing, and a step counted by one vendor is not the same step counted by another.
• Their proposed path forward: human-in-the-loop models, where coaches and allied health professionals review trends before anything escalates to a physician.

That last point is precisely the layer EnduCloud was built to be, long time ago, before anyone was speaking about it - the training and behaviour layer that turns continuous data into coaching, alongside the medical team, not instead of it. We are deliberately not a diagnostics product, and this review is a good articulation of why that line matters.

What makes the paper useful is its honesty about the limits. Worth your time if you work anywhere near wearables, prevention, or endurance health.

https://academic.oup.com/eurheartj/article/47/18/2130/8540180

Abstract. Wearable devices are transforming cardiovascular medicine by enabling continuous monitoring of physiologic and behavioural measures outside of tr

15/08/2026

In June 2025, the NEJM published the CHALLENGE trial: colon cancer survivors assigned to a structured, supported exercise program had meaningfully better disease-free survival than those given education alone. Not a supplement. Not a device. A training plan, with someone making sure it actually happened.
The evidence in exercise oncology has been building for two decades. Regular physical activity is associated with lower risk of several cancers, better tolerance of treatment - less fatigue, preserved muscle and fitness - and lower recurrence risk in the most-studied cancers. The ACSM's guidance for people in and after treatment is concrete: roughly 150 minutes of moderate aerobic work per week, plus resistance training.
The gap has never been the evidence. It's adherence. A person mid-treatment doesn't need a generic plan - they need one that adjusts to how their body is actually doing this week, and doesn't punish them for a bad one.
That's the problem EnduCloud is built around: personalized training that listens to your body's signals, including sleep, HRV, readiness, how the last session went, and adapts the next one accordingly. Structure when you can, grace when you can't. It's what keeps people moving month after month, and consistency is where all of the benefit lives.
We're also developing supervision features with healthcare professionals so that, in time, structured activity for clinical populations can happen under proper clinical oversight. That work moves at the pace of clinical sign-off, as it should.
If you're in treatment or recovery: talk to your medical team first, always. And then - move. It's one of the best-evidenced things you can do for yourself.