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HOME/ALL IN/WHOOP CEO, Will Ahmed: 50B Hours…
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WHOOP CEO, Will Ahmed: 50B Hours of Health Data, a 4 Million Member Data Moat, & the FDA Fight

DATE October 29, 2026SOURCE ALL INPARTICIPANTS AD NARRATOR, CHAMATH PALIHAPITIYA, DAVID FRIEDBERG, DAVID SACKS, JASON CALACANIS, THEME SONG, WILL AHMED
// KEY TAKEAWAYS6 ITEMS
  1. 01The Subscription Pivot Rewired the Company's DNA
  2. 02The Growth Curve Is Inflecting After a Decade of Grinding
  3. 0324/7 Wear Time Is the Real Data Moat
  4. 04Personal Baselines Turn a Consumer Device into an Early-Warning System
  5. 05Proprietary Models Trained on Multi-Modal Data
  6. 06The Engagement Flywheel: Journal, AI Coach, and Behavior Insights

1. Key Themes

The Subscription Pivot Rewired the Company's DNA

WHOOP went from a $500 one-time hardware purchase (2017) to a subscription model after observing high wear-time but low sales. Ahmed says the bigger effect was cultural: the incentive structure flipped from "ship new hardware yearly" to "keep improving the product for existing members." Will Ahmed: "We quickly became a recurring revenue business versus a hardware business, which, of course, is more attractive to investors. And then, you know, what I underestimated is how much it changed our DNA because when you're a subscription business, you become really obsessed with, uh, your existing members, arguably more so even than new members." 00:03:12. On hardware cadence, Ahmed says: "We want to launch hardware when it's really innovative and it's a step-function better. And, uh, and then we're really focused on trying to continue to update the the membership and the subscriptions." 00:05:15. Features like ECG, AFib detection, Advanced Labs, Healthspan, and blood pressure insights were added to existing hardware, a software-upgrade cadence that hardware-first competitors can't match.

The Growth Curve Is Inflecting After a Decade of Grinding

WHOOP's membership trajectory shows classic compounding after a long slog. Will Ahmed: "It took about 12 years for us to get to a million members and then another 18 months or so to 2 million, about 6 months to 3 million, and we expect to end the year around 4 million members." 00:01:54. Headcount is now about 1,200 (Ahmed 00:26:01), and Jason Calacanis floated a ~$10 billion valuation and a ~$1 billion revenue run rate in conversation 00:42:06 (his estimate, not confirmed by Ahmed).

24/7 Wear Time Is the Real Data Moat

The core asset isn't the sensor, it's continuous wear. Will Ahmed: "On average, a WHOOP member wears WHOOP 23.6 hours a day, and as a consequence, we have, um, just over 50 billion hours of continuous physiological data. So, it's one of the largest health data sets in the world." 00:00:00. This was a founding design principle: "One of the principles to founding WHOOP was 24/7 data, and it's it's why we have a 14-day battery life now. It's why we we invented a charger that you slide on to WHOOP." 00:17:19. Wearing during sleep, showers, and baths is what produces the clean baselines everything else depends on.

Personal Baselines Turn a Consumer Device into an Early-Warning System

Because WHOOP baselines each person, deviations become detectable before symptoms. Jason Calacanis described two acute cases (a respiratory-rate and skin-temperature rise that preceded COVID and, later, lung/chest inflammation). Ahmed shared member stories: "Someone with a resting heart rate of 50 beats per minute, getting a heart rate of 120, 130 while he's sleeping... stage four Hodgkin lymphoma." 00:13:09; and a decade-long member whose "heart rate variability of about 100... was 50, all of a sudden... He turned out to have testicular cancer." 00:14:24. Ahmed's insight on discovery: "That that's what's so fascinating about this moment in time is we've never had this much data on the human body continuously." 00:17:19.

Proprietary Models Trained on Multi-Modal Data

WHOOP is training its own models on physiology plus labs, medical records, and behavior logs. Will Ahmed: "We're developing our own models. We've got open-source models... people are uploading their blood tests, or they're doing Advanced Labs through WHOOP. They're uploading medical records. And, um, and so, as an example, we're we're now starting to see indications that through physiological signals, we might be able to predict that a biomarker is out of range without actually measuring the biomarker itself." 00:20:02. This points toward virtual biomarker screening: cheap continuous signals that tell you which expensive tests to actually run.

The Engagement Flywheel: Journal, AI Coach, and Behavior Insights

Ahmed describes layered data capture creating a feedback loop. Will Ahmed: "About 80% of our-" member base interacts with the AI coach, "just over 50% of our members journal every day," and "not that many companies... have people opening their app eight times a day and 80% of their member base interacting with the AI." 00:23:55. The journal (100+ loggable behaviors) feeds personalized "behavior insights" showing each behavior's effect on recovery, such as Ahmed's -9% for alcohol, Calacanis's +7% for warm baths. A cross-population finding: "eating within 3 hours of bedtime, we've now seen across the entire WHOOP population, is really detrimental to your sleep and your recovery." 00:28:02. The AI coach also learns from user friction; Calacanis noted travel and time-zone issues, and Ahmed said "We spun up a team on travel specifically because it's such a popular use case." 00:22:28.

Ride the Regulatory Boundary Between Wellness and Medical

WHOOP runs a two-track regulatory strategy: launch fast under "wellness" where defensible, and pursue clearances where a diagnosis is claimed. Ahmed explains: "If you do heart rate monitoring for exercise, that's wellness... If you do heart rate monitoring, uh, for, um, you know, AFib detection or heart attack prediction, okay, that needs to be regulated." 00:36:31. WHOOP's ECG is "an FDA-cleared product, 510(k)." After the FDA sent a warning letter over Blood Pressure Insights, "we stuck to our guns... the FDA actually has since updated their guidelines, I think based on our case, but also based on feedback from the industry." 00:36:31. The blood pressure algorithm was trained using a 70,000-person member study, an example of using the member base as a fast, cheap research cohort.

Integrating Health Verticals Under One Umbrella (GLP-1s, Labs, Longevity)

WHOOP keeps absorbing adjacent health data to make insights richer: Advanced Labs, Healthspan (WHOOP age), blood pressure, and a new GLP-1 tracker. Ahmed on GLP-1 context: "About 50% of the weight that someone loses is fat and 50% is muscle... so that's how sometimes people can end up getting quite frail even though they've lost a considerable amount of weight." 00:32:50. Knowing a user is on a GLP-1 lets WHOOP push strength training and protein. This is a pattern: each data type WHOOP owns makes every other insight more valuable.

Data Trust and Business Model Alignment as a Positioning Advantage

Ahmed contrasts WHOOP with ad-funded and hardware-margin competitors. Will Ahmed: "We do not sell data. You know, you are not the product, Jason. Like, you're The membership is the product... that's a huge, I think, distinction in this space." 00:42:06. He argues WHOOP has "earned the right to um accumulate all this data cuz we have very strong data policy."

Authentic Adoption Beats Paid Endorsement; Athletes as Early Validators

LeBron James was among the first 100 users and became a global ambassador after 11 years of organic use. Will Ahmed: "If your business is pre-marketing... you should be really careful paying anyone to use your product. You know, you want people to love your product authentically... there's no amount of money I'm going to be able to pay an athlete to wear something 24/7 if they don't like it." 00:49:18. Only later did WHOOP monetize name, image, and likeness for advertising.


2. Contrarian Perspectives

Make Less Hardware Money on Purpose

The consensus consumer-hardware playbook is annual refresh cycles. Ahmed deliberately rejected it. Will Ahmed: "When you're a hardware business, you're incentivized to ship new hardware every 12 months, whether or not it's actually innovative because you always need that next dollar from a hardware sale... for us, we're actually We have the opposite incentives." 00:05:15. The contrarian bet: lower upfront price, lengthen the device lifecycle, and win on retention. It worked because wear-time engagement was already a strength: "people who bought WHOOP, uh, would wear it for a long time." 00:03:12.

Screenless Beats the Smartwatch for Health

While the industry converged on screens, notifications, and phone-replacement, WHOOP bet on the opposite. Will Ahmed: "I think a lot of companies have entered our space and had challenges with with the screenless wearable or other wearable products... 10 years ago, there were more competitive products in the market than there are today." 00:43:57. Calacanis, a heavy Apple Watch user, confirms the product-level tradeoff: "The Apple Watch was annoying cuz it's I'm getting alerts... With this, I I mean, I I've made it 10 days, you know, 14 days, no problem." 00:17:40. The implication is that removing features (screen, alerts) enabled the 14-day battery and 23.6 hours/day wear that generates the moat. Ahmed also notes the competitive field thinned: "There was a whole class of Nike and Adidas and Under Armour that all entered the space." 00:44:18.

Don't Build the Commodity Hardware; Replace It Instead

Calacanis pushed for a WHOOP-branded blood pressure cuff and scale. Ahmed declined: "In the case of, um, blood pressure cuffs, we felt like that was a fairly commoditized technology... if people want to do a calibration with a cuff to set up their WHOOP, which will then measure it without the cuff, cuz at the end of the day, we kind of want to replace the cuff." 00:42:06. Rather than expanding into peripheral devices, the thesis is that virtual signal extraction obsoletes them.

Pick a Fight With the Regulator on Category Definitions

Conventional startup wisdom says avoid the FDA. Ahmed launched a feature the agency said required medical regulation, took the warning letter publicly, and held his position. Will Ahmed: "There was a big disagreement that played out that was quite public about it. Uh, but we, you know, we stuck to our guns... the FDA actually has since updated their guidelines." 00:36:31. His framing is that stretching a regulatory category is part of innovating under dated policy: "The history of very innovative technology with, you know, somewhat dated regulatory policies is a history that has controversy from time to time." 00:36:31.

Lifting Over Cardio for Longevity

In the lightning round, Ahmed picked weights over steady cardio: "If they have an hour to exercise, they should spend more time lifting and less time on an elliptical... because your your muscle mass is such an important, uh, test for longevity." 00:45:48. Also, cold shower over cold plunge for accessibility, and old-school hot sauna over red light therapy.


3. Companies Identified

WHOOP

Wearable health and performance platform (screenless band, subscription model), ~4 million members expected by year-end, ~1,200 employees. Mentioned as the subject. Will Ahmed: "At WHOOP, we build wearable technology to improve performance and health." 00:01:54. Calacanis: "For a dollar a day, I think this is, like, one of the best things you can spend on your health." 00:00:12.

Apple (Apple Watch / Apple Health)

The market-leading smartwatch. Ahmed praised it while implicitly differentiating. Will Ahmed: "The Apple Watch is the most successful smart watch in the world... I think they've been successful. I think it's an important product for them." 00:43:32. Calacanis was critical of its battery and notifications and said "Apple Health is terrible." He also noted Apple's data stewardship: "Apple's pretty good steward of data. I'll give them that." 00:43:05. Ahmed's respect: "They're one of the the best in the world at hardware and software." 00:43:57.

Oura

Smart-ring sleep and readiness tracker, cited as a competitor Calacanis tried: "I've had all of it. Oura over many, many years. And I settled on WHOOP." 00:06:40.

Fitbit (Google Health)

Early wearables pioneer. Calacanis listed it among products tried and noted Nike "gave the business to Fitbit" 00:44:18. Also referenced in the Jawbone/Fitbit era 00:44:15 and the Fitbit scale as a data-integration gripe 00:42:06.

Jawbone

Defunct early wearable competitor, named by Ahmed in the "Jawbone, kind of Fitbit era" when many players entered and then left 00:44:15.

Nike, Adidas, Under Armour

Brands that entered wearables a decade ago and exited. Calacanis: "How dumb was it for Nike to stop pursuing that? My god, that was such an obvious smart thing for them to do." 00:44:23.

Omron

Blood pressure cuff maker WHOOP integrates with for calibration. Calacanis suggested WHOOP just buy it, Ahmed said the cuff is "a fairly commoditized technology." 00:42:06.

Eight Sleep

Sleep-fitness bed technology. Calacanis is an investor: "Eight Sleep, I'm an investor in. I love that product, too. Those are my two favorite health uh products." 00:47:12.

Slopes

Ski-tracking app that integrates with WHOOP's activity tracker. Calacanis: "It does log my skiing. So, I use Slopes." 00:30:22.

Calm

Meditation app Calacanis uses and logs: "I also do some meditation with the Calm app." 00:30:22.

Peloton

Cited as a model for badge-based engagement: "kind of like Peloton has like insane number of badges." 00:34:32.

Zipline, ICON, Vast, SpaceX, Anthropic

Late-stage private companies mentioned in Calacanis's syndicate context. Calacanis: "We did Zipline. We did ICON homes, the 3D-printed homes. These are all billion-dollar companies, $5 billion companies, and Vast space." 00:53:01. LPs also asked "Can you get me into Zipline? Can you get me into WHOOP? Can you get me into SpaceX, Anthropic, whatever it is?" 00:52:36.

Uber, DoorDash, Figma

Referenced in the "anti-AI trade." Calacanis: "Uber... trading uh at an all-time low PE, and they're surging... DoorDash, Uber, Figma, you know, a lot of these companies getting uh taken to the woodshed a bit." 00:54:43. Also his early-employee-secondary anecdote about Uber and Masayoshi Son: "He was like, 'Hey, guys. I need you to sell some of these or I'm going to invest in Lyft.'" 00:54:03.

Lyft, Facebook

Mentioned in the secondary-market history: Facebook as the first case Calacanis saw, Lyft as the competitive threat in Masayoshi Son's leverage play 00:54:32.

Creative Planning, Northwest Registered Agent

Episode sponsors (wealth management and business formation services) 00:00:39, 00:25:02.

Tesla

Calacanis used Tesla self-driving to get to the ER at 1:00 a.m. 00:10:27.

Paxlovid (Pfizer)

Antiviral Calacanis got early thanks to WHOOP's alert, noting it works only if taken early 00:12:21.

NBA, ITF (International Tennis Federation), Australian Open

Sports bodies governing wearables in competition. Ahmed: "The ITF... had approved WHOOP to be worn in matches. So, the Australian Open was kind of out of line. And then, next thing you know, um, the other majors have come forward saying that wearables can be worn." 00:51:04. NBA status: "That's something the NBA is still looking at." 00:50:41.

FDA

Regulator central to WHOOP's strategy; WHOOP has 510(k) clearance for ECG and a prior warning letter over blood pressure 00:36:31.

Harvard

Where Ahmed did the medical research (as a student) that led to WHOOP's HRV focus: "I did all this medical research when I was a student at Harvard, and heart rate variability was a thing that like jumped off the page to me." 00:14:24.


4. People Identified

Will Ahmed

WHOOP founder and CEO, building the company for 14 years (founded 2012), Harvard-educated. Mentioned as the guest. On the long path: "Like a lot of maybe overnight success stories, it took a very long time, uh, to be an overnight success." 00:01:54. Founding insight: HRV was important but unmeasurable continuously, so he built the hardware to do it 00:14:24.

LeBron James

NBA superstar, now a WHOOP global ambassador. Ahmed: "He's been on WHOOP, interestingly, for 11 years... he was one of the first 100 people to ever wear it... incredibly validating that this incredible athlete was willing to try a technology from an unknown company called WHOOP." 00:47:42. Described as "the pinnacle of performance and and longevity." 00:47:42.

Cristiano Ronaldo, Patrick Mahomes, Lewis Hamilton, Aryna Sabalenka, Nelly Korda

Existing WHOOP ambassadors. Ahmed: "He joins a roster of ambassadors like Cristiano Ronaldo and, uh, Patrick Mahomes and, uh, Lewis Hamilton and, uh, Aryna Sabalenka, Nelly Korda, so on. So, it's a great group." 00:47:42.

Bryan Johnson

Longevity biohacker. Ahmed: "I think Bryan has pushed people's imagination of what they should be measuring." 00:44:53.

Andrew Huberman

Health podcaster. Ahmed: "For podcasting, Huberman... I think Huberman has a a wider audience." 00:44:49.

Jason Calacanis

Host, early-stage investor, WHOOP power user (300-day streak, top 1% in rucking), investor in Eight Sleep, runs a 4,000-member syndicate with a new late-stage practice. Lost 43 lb. on a GLP-1 (213 to 170) 00:32:12. His investor advice on SPVs: "Build a relationship with the CFO of the company and just get their blessing for it." 00:53:28.

Masayoshi Son ("Massa")

SoftBank founder, referenced in the Uber secondary story 00:54:32.

Tucker Carlson

Mentioned as a potential ski-trip companion with Calacanis 00:31:11.

President Trump, Robert F. Kennedy Jr. (referenced as "a Kennedy"), Biden

Political figures referenced in Calacanis's framing of the FDA regulatory climate 00:35:44. Ahmed: "I'm actually really happy with with our relationship with the FDA today." 00:36:31.


5. Operating Insights

Use Your Member Base as a Research Cohort

For blood pressure, WHOOP ran an opt-in study with 70,000 members uploading daily readings for weeks. Will Ahmed: "Think about, you know, the ability to generate studies at at huge scale fast." 00:36:31. The tactic: when you have an engaged installed base, recruit them into ground-truth data collection (calibrated against a medical-grade reference) to train algorithms at a fraction of traditional clinical-trial cost and time.

Pick Hard Signals and Benchmark Against the Medical Device

Ahmed's product-selection rule: "We pick a hard physiological signal and then we say we want to be able to measure it as accurately or within a similar accuracy as a medical device. Uh, and then we look to bring that to consumers." 00:36:31. Hard problem selection plus a clear accuracy bar creates a defensible technical lead.

Combine Science, Data, and Design into a Single Score People Want to Look At

Ahmed on the formula: "How do you take medical research that's credible, and then a lot of data... and then great design, right, because at the end of the day, you have to design something to ultimately have a score that people want to look at?" 00:29:43. Evidence of design payoff: the Healthspan score is "the most screenshotted page in the app" 00:30:09, a built-in viral loop.

Defer to Build or Buy Over Partner (With a Commoditization Filter)

Ahmed's decision rule on adjacent categories: "Do we want to build this ourselves? Do we want to partner with someone? Or or are we going to make an acquisition? And, uh, and often, we've defaulted to either building or acquiring versus partnering." 00:42:06. The exception is commoditized hardware where the goal is to eventually replace it anyway.

Manage Secondary Markets and SPVs Proactively

Ahmed's founder-side warning: "The other thing to be wary of are these secondary brokers who... claim they've got shares from someone at a price, and they go around saying that, but they're really just trying to create a market." 00:53:49. Calacanis's mitigation as an investor: loop in the CFO early and accept their answer. And Ahmed's observation that cap table hygiene is "complicated when your business is failing and it's complicated when your business is winning." 00:53:20.


6. Overlooked Insights

Inferring Biomarkers From Physiology Could Collapse the Diagnostics Funnel

Mentioned in a single sentence, this is arguably the most commercially significant statement of the episode. Will Ahmed: "We're we're now starting to see indications that through physiological signals, we might be able to predict that a biomarker is out of range without actually measuring the biomarker itself." 00:20:02, followed by the cortisol example: "Hey, we think you have high cortisol. You should get this one test." 00:20:34. If true at scale, WHOOP becomes the triage layer that decides which blood tests, imaging, or specialist visits to order, positioning it between consumers and the diagnostics, lab, and primary-care economy. It also ties directly to the Advanced Labs product (a revenue line that gets cheaper to acquire when continuous data routes people to it).

The Long-Wear Baseline Is Why Early Cancer Signals Appear, and Why a Late Entrant Can't Copy It

Ahmed mentioned in passing that the testicular cancer case involved a member who "had been on WHOOP, actually, for I think close to a decade. So, they had this incredible baseline." 00:13:57. The detection was only possible because of the years-long personal baseline, a data asset that compounds with tenure and cannot be bought or backfilled. Combined with the membership curve (1M to 4M mostly in the last ~2.5 years), the data moat is about to deepen sharply: a large share of members are still early in building multi-year baselines, meaning population-level and individual-level predictive power should improve substantially as that cohort ages in the product.