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WHOOP CEO, Will Ahmed: 50B Hours of Health Data, a 4 Million Member Data Moat, & the FDA Fight — Transcript

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  1. 0:00On average, a Whoop member wears Whoop
  2. 0:0223.6 hours a day. We have just over 50
  3. 0:07billion hours of continuous
  4. 0:08physiological data. So, it's one of the
  5. 0:10largest health data sets in the world.
  6. 0:12>> For a dollar a day, I think this is like
  7. 0:13one of the best things you could spend
  8. 0:15on your health.
  9. 0:15>> You want people to love your product
  10. 0:17authentically. LeBron James is now a
  11. 0:19global ambassador for Whoop. He was one
  12. 0:21of the first 100 people to ever wear it.
  13. 0:23>> You're starting to understand things
  14. 0:25before the rest of the medical community
  15. 0:27is learning them.
  16. 0:27>> Through physiological signals, we might
  17. 0:30be able to predict that a biomarker is
  18. 0:31out of range without actually measuring
  19. 0:34the biomarker itself.
  20. 0:35>> I'm going all in.
  21. 0:38>> As your wealth grows, have you noticed
  22. 0:40how much more complex things get between
  23. 0:42investments, tax strategy, and estate
  24. 0:44planning? Managing it all is a full-time
  25. 0:47job that you didn't ask for. Creative
  26. 0:49Planning can help. Their coordinated
  27. 0:50team of investment managers, CPAs, and
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  29. 0:56of the heavy lifting so you don't have
  30. 0:58to. Creative Planning, where wealth
  31. 1:00works together. Go to
  32. 1:01creativeplanning.com/allin.
  33. 1:03>> I'm going all [music] in.
  34. 1:05>> All right, guys. Welcome back to the
  35. 1:06All-In interview program. And this is
  36. 1:09where guests we want to unpack for an
  37. 1:12hour or so, not talk about the news like
  38. 1:14we do every Friday. We want to go deep.
  39. 1:16And health and technology is one of
  40. 1:18those areas that's super interesting to
  41. 1:21all the besties, and I was really
  42. 1:22excited that my friend Will Ahmed from
  43. 1:25Whoop decided he would carve out an hour
  44. 1:28for me and the All-In audience. You and
  45. 1:31I have spoken I think two or three times
  46. 1:33on the OG podcast, This Week in
  47. 1:35Startups, that I've been doing for over
  48. 1:3715 years there in the journey for Whoop.
  49. 1:40But let's start with
  50. 1:42just the footprint of Whoop as an
  51. 1:44organization now, because I've known you
  52. 1:45for yeah, well over 5 years, 6 years of
  53. 1:48of this journey.
  54. 1:49How many members, ballparkish, how many
  55. 1:51people are using the Whoop, and how much
  56. 1:53data have you collected?
  57. 1:54>> Yeah, so Whoop, we build wearable
  58. 1:56technology to improve performance and
  59. 2:00health. I've been building this company
  60. 2:02now for 14 years. It was founded in in
  61. 2:052012. And uh I think like a lot of maybe
  62. 2:09overnight success stories, it took a
  63. 2:10very long time
  64. 2:12to be an overnight success. You know, it
  65. 2:14took about 12 years for us to get to a
  66. 2:16million members and then another 18
  67. 2:19months or so to 2 million, about 6
  68. 2:21months to 3 million and and expect to
  69. 2:24end the year around 4 million members.
  70. 2:26>> 4 million members. And hey, listen, I'll
  71. 2:29tell people right out, the service at
  72. 2:32first seems expensive because I think
  73. 2:35it's like 40 bucks a month, 30 bucks a
  74. 2:36month. Am I am I in the approximate
  75. 2:38range or what do I spend? 300 a year on
  76. 2:39this?
  77. 2:40>> Depending on what plan you're on, it's
  78. 2:41anywhere from 15 to $30 a month.
  79. 2:44>> I'm on the top top plan with the top top
  80. 2:45sensor.
  81. 2:47But you took a very [snorts] thoughtful
  82. 2:49approach to saying we're going to go for
  83. 2:50subscriptions and we're going to take
  84. 2:52out the cost of the device. So you don't
  85. 2:54have this
  86. 2:56cost uh losing the device anxiety. So
  87. 3:00take me to that decision. And to be
  88. 3:01totally honest, for a dollar a day, I
  89. 3:03think this is like one of the best
  90. 3:04things you could spend on your health or
  91. 3:05or even less than a dollar a day. But
  92. 3:07take me through that decision as a
  93. 3:09business to go with uh
  94. 3:1030 bucks a month.
  95. 3:11>> Yeah, thank you. It's a unique business
  96. 3:13model. And in 2017,
  97. 3:16we had launched to consumers. It was a
  98. 3:17one-time fee, 500 bucks. At that point
  99. 3:20in the company's history,
  100. 3:22we had really built Whoop as like a
  101. 3:23performance brand. You know, it was
  102. 3:25known amongst the best athletes in the
  103. 3:27world and and we worked with all these
  104. 3:28sports teams. And we said, "Okay, we're
  105. 3:30going to go to consumers and uh and
  106. 3:33target, you know, an athletic and
  107. 3:34fitness enthusiast audience." And over
  108. 3:37the course of the next 12 months of
  109. 3:38having that product in market, we really
  110. 3:40observed two things. The first is that
  111. 3:43people who bought Whoop uh would wear it
  112. 3:45for a long time. And that's always been
  113. 3:48a challenge in the wearables industry
  114. 3:49around drop-off rates and engagement.
  115. 3:52And fortunately for Whoop, that's been a
  116. 3:54strength of our of our product.
  117. 3:56Uh but then the other thing we observed
  118. 3:58was that not that many people were
  119. 3:59buying the product. So we still had a
  120. 4:01sales problem. And uh because the
  121. 4:04engagement was so high, we asked
  122. 4:06ourselves, well, is there a business
  123. 4:07model here where the entry price is
  124. 4:09lower so people can get introduced to
  125. 4:12Whoop, and if they fall in love with the
  126. 4:14product, then over time it can be a good
  127. 4:16business for Whoop, too. And I think
  128. 4:20that immediately created all kinds of of
  129. 4:22growth for Whoop back in 2018 and 19,
  130. 4:26and we quickly became a recurring
  131. 4:27revenue business versus a hardware
  132. 4:29business, which of course is more
  133. 4:31attractive to investors. And then, you
  134. 4:34know, what I underestimated is how much
  135. 4:35it changed our DNA, because when you're
  136. 4:38a subscription business, you become
  137. 4:39really obsessed with uh your existing
  138. 4:42members, arguably more so even the new
  139. 4:44members. And so, it's all about
  140. 4:46innovation cycles and continuing to
  141. 4:48rapidly improve the product and obsess
  142. 4:51over the member experience.
  143. 4:53>> See, this is, I think, a critical
  144. 4:54observation for founders uh who might be
  145. 4:57watching.
  146. 4:58When you're selling widgets, you you
  147. 5:00know, you're it's
  148. 5:02and what you know, marketing. But once
  149. 5:04you get a subscriber, hey, they're your
  150. 5:07customer next month and the following
  151. 5:08month and the following year. So, you
  152. 5:10start obsessing about churn and
  153. 5:12engagement, right? The metrics kind of
  154. 5:14shift, right?
  155. 5:15>> Yeah, totally. You get you get very
  156. 5:17focused on
  157. 5:18um user engagement, how often people are
  158. 5:21are using your product, you get focused
  159. 5:23on how effective it is, you know, how
  160. 5:26are you actually driving behavior change
  161. 5:28and and health improvement. It It
  162. 5:30changed our hardware cycles, as well.
  163. 5:33So, when you're a hardware business,
  164. 5:34you're incentivized to ship new hardware
  165. 5:37every 12 months, whether or not it's
  166. 5:40actually innovative, because you always
  167. 5:41need that next dollar from a hardware
  168. 5:44sale. And also, when you're a pure
  169. 5:46hardware company, you're you're not
  170. 5:48incentivized to be innovating on top of
  171. 5:50the existing product, right? Because you
  172. 5:52want to convince people to buy the next
  173. 5:54thing.
  174. 5:55And for us, we're actually with the
  175. 5:56opposite incentives. We want to launch
  176. 5:58hardware when it's really innovative and
  177. 6:00it's a step function better.
  178. 6:01And and then we're really focused on
  179. 6:03trying to continue to update the the
  180. 6:06membership and the subscription. So, you
  181. 6:09know, someone who joined, I don't know,
  182. 6:1118 months ago may not have known they
  183. 6:13were going to have ECG monitoring or
  184. 6:15AFib detection or advanced labs, which
  185. 6:18is now the blood work uh feature that we
  186. 6:20have in the app, or health span, which,
  187. 6:22you know, tells you your Whoop age and
  188. 6:24is a whole longevity feature, blood
  189. 6:26pressure insights, which is a new
  190. 6:28capability uh that allows people to to
  191. 6:32look at their blood pressure every day.
  192. 6:34So, these are all examples of new
  193. 6:35features that we've brought to market
  194. 6:38with uh hardware that's in market.
  195. 6:40>> Yeah. And what that does is you get over
  196. 6:44the issue we have with Apple products,
  197. 6:47which is like you're taking on, as
  198. 6:50Whoop, the [snorts]
  199. 6:52responsibility for telling me when to
  200. 6:53upgrade and why I should upgrade, but
  201. 6:56it's not like some high-pressure thing
  202. 6:58like your iPhone cycle, where they're
  203. 7:00constantly, [clears throat]
  204. 7:02you know, pressuring you to upgrade so
  205. 7:03they can make the money on the hardware.
  206. 7:05Now, let's talk about the innovation
  207. 7:06inside the software. Uh and you know,
  208. 7:09I've used everything, Fitbit, which is I
  209. 7:10guess Google Health now, Apple Watch.
  210. 7:12I've had all of it Oura over many, many
  211. 7:15years. And I settled on Whoop. Why did I
  212. 7:18settle on Whoop? Well, I thought your
  213. 7:20software actually, which was hard for me
  214. 7:22to get my head around at first because
  215. 7:26you have this recovery score, you have
  216. 7:27the sleep score, you have stress,
  217. 7:30um but and then there's this journal
  218. 7:32feature. It was a little complex for me
  219. 7:35uh compared to the other products, but
  220. 7:38ultimately uh what I found was it gave
  221. 7:40me more value once I committed to the
  222. 7:43product. So, what is committing to the
  223. 7:45product mean? I think if you put in and
  224. 7:48you fill out the journal every day or
  225. 7:50just, you know, a couple times a week,
  226. 7:52you get much more out of it. So, let me
  227. 7:54have you explain what the most important
  228. 7:57metrics are here.
  229. 8:00Heart rate variability, the recovery
  230. 8:02score, high stress sleep, etc. And then
  231. 8:06and and then work me into like some of
  232. 8:08the the the features around journaling
  233. 8:10and why that's important.
  234. 8:11>> Yeah, the three main pillars on Whoop
  235. 8:13are around uh sleep, recovery, and
  236. 8:16strain. And so most people start their
  237. 8:19day by looking at how well they slept
  238. 8:21last night and that'll be everything
  239. 8:23from our sleep score to their sleep
  240. 8:25consistency. Do they go to bed and wake
  241. 8:27up at the same time? Your hours of
  242. 8:30sleep, so how many of those hours were
  243. 8:31quality sleep versus the time that you
  244. 8:34just spent in bed trying to sleep. Um
  245. 8:36how much was restorative? Slow wave
  246. 8:38sleep, REM sleep, you know, a pretty
  247. 8:39deep understanding uh of your body's
  248. 8:42overall uh circadian rhythm and how well
  249. 8:45you're sleeping. And then ultimately
  250. 8:48your recovery score, which is red,
  251. 8:50yellow, green, 0 to 100%. By the way,
  252. 8:52I'm I'm pretty pumped about mine today.
  253. 8:54I want you to know I'm ready for you.
  254. 8:55>> Oh man. Now now Come on, man. Hold on a
  255. 8:58second.
  256. 8:58>> I I just had to show you that.
  257. 9:00>> 93% pretty good. Um
  258. 9:02>> strong for me.
  259. 9:03>> That's very strong. Uh for me, not so
  260. 9:06good. I'm on a 67.
  261. 9:08>> Okay, but you got a green dial. Those
  262. 9:10are pretty good numbers.
  263. 9:11>> my sleep was 83%
  264. 9:13and my strain today is incredibly low
  265. 9:15cuz all I've done is sit and do no work.
  266. 9:19Uh but you know, this is like super
  267. 9:22critical for me to have these numbers
  268. 9:24now. I travel. I go to Japan. I go to
  269. 9:26Saudi. I go to Davos, you know, World
  270. 9:29Economic Forum. I I'm all over the globe
  271. 9:32and I'm trying to regulate my sleep. I'm
  272. 9:34trying to figure out should I be on this
  273. 9:36sleep schedule or you know, the other
  274. 9:38one and I'm just trying to make sure I'm
  275. 9:40fresh for when I'm doing performative
  276. 9:42stuff, you know, like on on podcasts or
  277. 9:43speaking gigs. Uh and it's essential for
  278. 9:46me now. It's just essential for me. I
  279. 9:47can't live without it. The thing that
  280. 9:49was interesting that happened for me is
  281. 9:51you also have uh under those three most
  282. 9:55important um metrics there.
  283. 9:57>> The health monitor?
  284. 9:58>> You have the health monitor. Now, this
  285. 10:00is critical for me because
  286. 10:03twice now in the past Yeah, I think it's
  287. 10:06two or three times now. I have had um
  288. 10:10under health monitor, which has your
  289. 10:11respiratory rate, your resting heart
  290. 10:13rate, skin temperature, blood oxygen,
  291. 10:15and HRV, heart rate variability. Right
  292. 10:17now, I'm all in green. However,
  293. 10:20the other week, I'm going to tell you
  294. 10:21this story.
  295. 10:23It involves me going to the emergency
  296. 10:25room with chest pain.
  297. 10:26This is a serious Some people in the
  298. 10:28house, the kids or whatever, had a
  299. 10:31respiratory infection. I didn't get it.
  300. 10:33But I wake up one day and my respiratory
  301. 10:36rate is two breaths higher than normal.
  302. 10:38Instead of 16, it was like 18 or 15, it
  303. 10:40was 17. And then my skin temperature was
  304. 10:43like
  305. 10:43two degrees hotter, right? And um
  306. 10:46>> And just for people listening, when your
  307. 10:48respiratory rate is elevated by two
  308. 10:51breaths like that, that's actually
  309. 10:52pretty meaningful cuz respiratory rate
  310. 10:54is normally a very boring statistic and
  311. 10:56normally doesn't change at all.
  312. 10:58>> So, it's like, "Hey, what's going on?"
  313. 11:00Then it does it a second day in a row.
  314. 11:01So, then I, you know, like do the warm
  315. 11:03bath. I I got me sure I got my
  316. 11:05electrolytes. I'm I'm thinking maybe I'm
  317. 11:07coming down with something.
  318. 11:08Anyway, I recover on Saturday, Sunday.
  319. 11:11Sunday night, I can't sleep. I start
  320. 11:13getting chest pains.
  321. 11:15I put the Tesla at 1:00 a.m. in
  322. 11:16self-driving and I go to the emergency
  323. 11:18room cuz I used to work on an ambulance.
  324. 11:20I know,
  325. 11:21hey, you know, when you have chest pains
  326. 11:22and you're 55-year-old male, this could
  327. 11:25be serious or it could be indigestion. I
  328. 11:27go, I do every possible test. I go right
  329. 11:29to the heart center uh in Austin here
  330. 11:32and they do the CT scan. I think that's
  331. 11:34the the the big scan of your heart.
  332. 11:36EKGs, everything. I'm there from 1:00
  333. 11:39a.m. until 7:00 a.m.
  334. 11:41Turns out I had inflammation in my
  335. 11:43lungs, around my chest, and my heart was
  336. 11:47being constricted. So, I was
  337. 11:49experiencing chest pain. I was not
  338. 11:50having a heart attack. But there was
  339. 11:52something going on and I was alerted to
  340. 11:54it two for two days in a row
  341. 11:56without having any other symptoms. Very
  342. 11:58strange, right?
  343. 11:59>> Mhm.
  344. 12:00>> And it was the Whoop those two days
  345. 12:03earlier, that Thursday, Friday, that on
  346. 12:04Sunday I was on high alert. I was like,
  347. 12:06"Something's going wrong with my
  348. 12:07system." It had done that. And the
  349. 12:09reason is three years ago, the same
  350. 12:12thing happened. My skin temperature's is
  351. 12:13going crazy and my and then in that
  352. 12:15case, I think it was my HRV. I'm like,
  353. 12:17"What's going on?"
  354. 12:18I got COVID.
  355. 12:20Yeah. So,
  356. 12:22I had two two bad scores. I'm in New
  357. 12:25York with one of my daughters and
  358. 12:27I was able to take that Paxlovid, which
  359. 12:29you can only take if you get to it
  360. 12:31early. So, I'm like, "F this." Two days
  361. 12:34of like heat, I go my wife goes, "Maybe
  362. 12:37you got COVID." I'm like, "Wow, that's
  363. 12:38so retro." I go right to Duane Reade, I
  364. 12:40take the test, I got it, I get Paxlovid
  365. 12:42all in the same day because the Whoop
  366. 12:44told me. So, you anticipated two acute
  367. 12:46situations for me.
  368. 12:48What other acute things are you starting
  369. 12:50to learn here now that you have 4
  370. 12:52million people in the system?
  371. 12:55I understand now you're becoming a
  372. 12:56contributor to the preemptive delivery
  373. 13:00of medical services and or, you know,
  374. 13:02you're you're starting to understand
  375. 13:04things before,
  376. 13:06let's say, the rest of the medical
  377. 13:07community is is learning them.
  378. 13:09>> Well, there's your sharing that. I mean,
  379. 13:10that's an amazing story and I'm grateful
  380. 13:12you're feeling all right and and
  381. 13:14grateful that Whoop could uh
  382. 13:16could play a small role helping. I think
  383. 13:18it's it's amazing we now get these
  384. 13:20testimonials every every day, every week
  385. 13:22from
  386. 13:23uh from members who have an experience
  387. 13:25like the one you described.
  388. 13:28Uh I got a message last week from
  389. 13:31uh you know, a fit, healthy baseball
  390. 13:33player who all of a sudden saw he had
  391. 13:35these elevated heart rates while he was
  392. 13:37sleeping that looked very abnormal. You
  393. 13:39know, someone with a resting heart rate
  394. 13:40of 50 beats per minute getting a heart
  395. 13:43rate of 120, 130 while he's sleeping.
  396. 13:46And uh and he goes in uh
  397. 13:49to see the doctor and um they do some
  398. 13:52tests and sure enough,
  399. 13:54uh stage four Hodgkin's lymphoma.
  400. 13:56>> Woah.
  401. 13:57>> Yeah. And uh and he was able to get
  402. 14:00treated for it and he's recovered from
  403. 14:02it. And uh and then, you know, another
  404. 14:05similar story where uh a member
  405. 14:08with their HRV, they'd been on Whoop
  406. 14:10actually for I think close to a decade.
  407. 14:12So, they had this incredible baseline
  408. 14:14and um and HRV for for people who are
  409. 14:17less familiar.
  410. 14:18>> that because you're the one who
  411. 14:20introduced me to this whole concept and
  412. 14:22I I have since gone down the rabbit
  413. 14:24hole.
  414. 14:24>> So, HRV stands for heart rate
  415. 14:26variability. It's the amount of um time
  416. 14:28between successive beats of the heart
  417. 14:31and uh and it's a little
  418. 14:33counterintuitive, but the more
  419. 14:35variability in time between successive
  420. 14:38beats of the heart, the healthier your
  421. 14:39overall system is operating. And it's
  422. 14:41this lens into your autonomic nervous
  423. 14:44system, which consists of sympathetic
  424. 14:46and parasympathetic activity. So,
  425. 14:48sympathetic's activation, heart rate up,
  426. 14:49blood pressure up, respiration up. Um
  427. 14:52it's what happens, you know, when you
  428. 14:53have a thought like that there's a lion
  429. 14:55in the room or you know, when you start
  430. 14:57to exercise or you're thinking about
  431. 14:58something stressful. Um conversely, uh
  432. 15:02parasympathetic's all the opposite,
  433. 15:03heart rate down, blood pressure down,
  434. 15:05respiration down. Uh it's what helps you
  435. 15:07fall asleep. If you um exhale for a long
  436. 15:10period of time, that's parasympathetic.
  437. 15:13>> Mhm.
  438. 15:13>> And what you want is for for sympathetic
  439. 15:15activity and parasympathetic activity to
  440. 15:17be coupled. And so, your body's kind of
  441. 15:19constantly regulating its environment.
  442. 15:21And when that's the case, it it means
  443. 15:23you have a higher heart rate
  444. 15:24variability, that the measurement will
  445. 15:26be higher. And we're measuring heart
  446. 15:28rate variability 24/7. It was really one
  447. 15:31of the the key innovations in founding
  448. 15:32the company.
  449. 15:34Uh I did all this medical research when
  450. 15:36I was a student at Harvard and heart
  451. 15:37rate variability was the thing that like
  452. 15:39jumped off the page to me cuz there was
  453. 15:40really interesting research on it, but
  454. 15:43it couldn't be measured 24/7.
  455. 15:45And uh and so, that's where um you know,
  456. 15:47part of where WHOOP was born out of.
  457. 15:50Anyway, heart rate variability is
  458. 15:51something that we use for stress
  459. 15:53monitoring. It's something we use for
  460. 15:54our recovery score. And uh and we
  461. 15:57baseline everyone on WHOOP and then
  462. 15:59we're able to show you every day, are
  463. 16:01you within your baseline or you a little
  464. 16:02bit higher, you're a little lower? And
  465. 16:04when you look at trends of this over
  466. 16:06years, you start to get a sense for is
  467. 16:08someone getting healthier over time or
  468. 16:10or less healthy? It's a really important
  469. 16:13longevity indicator. Uh typically
  470. 16:15speaking, as you get older, your heart
  471. 16:17rate variability will drop. So,
  472. 16:21you know, people who are in their 20s,
  473. 16:23their heart rate variability will be
  474. 16:25anywhere between like 80 and 100 on
  475. 16:27average. 30s, you start to drop to 70.
  476. 16:2940s, you start dropping to 50. You know,
  477. 16:32um 50s, 60s, all of a sudden you're in,
  478. 16:34you know, 30s and below. And so, if you
  479. 16:36can fight that trend
  480. 16:38uh that those averages and keep your
  481. 16:40heart rate variability even just flat
  482. 16:42over years, that's actually a sign of
  483. 16:44good fitness, good longevity. And uh
  484. 16:47anyway, back to the story I was telling
  485. 16:49you, the um this individual,
  486. 16:52they had a very steady heart rate
  487. 16:53variability that was within a specific
  488. 16:55range, and all of a sudden it plummeted.
  489. 16:57So, it was a healthy person that had a
  490. 16:58heart rate variability of about 100. And
  491. 17:01uh and then it was 50 all of a sudden
  492. 17:03for for a period of time. Again, goes
  493. 17:05in, gets all these tests. Uh he turned
  494. 17:08out to have testicular cancer.
  495. 17:10>> Oh, wow.
  496. 17:11>> And so,
  497. 17:11>> Now, was that known previously that HRV
  498. 17:14would in some way be a a lead indicator
  499. 17:17for testicular cancer?
  500. 17:19>> I mean, I don't think so. You know, and
  501. 17:21that's that's what's so fascinating
  502. 17:23about this moment in time is we've never
  503. 17:25had this much data on the human body
  504. 17:28continuously. One of the principles to
  505. 17:30founding WHOOP was 24/7 data. And it's
  506. 17:33it's why we have a 14-day battery life
  507. 17:36now. It's why we we invented a charger
  508. 17:38that you slide on to your WHOOP.
  509. 17:39>> I was about to say, these are super
  510. 17:41important. And when you first told me
  511. 17:43about this on This Week in Startups, I
  512. 17:45was like, "What? I need to I want to see
  513. 17:46how many steps I've done and the time.
  514. 17:48It makes no sense." And you were like,
  515. 17:50"Trust me, Jake. I'll
  516. 17:51uh there's a reason [laughter] for
  517. 17:52this." And now that I've used it, it
  518. 17:55turns out you're absolutely right. The
  519. 17:57reason I have had so many long streaks,
  520. 18:00the only time I really stopped using
  521. 18:02this for past couple years is when I
  522. 18:03lost it and I had to order a new one.
  523. 18:05So, I broke my streak, which was a
  524. 18:06bummer, but it is what it is. It's just
  525. 18:08a number.
  526. 18:09Um
  527. 18:10because you can wear it in the shower,
  528. 18:12you can wear it in the bath, and you
  529. 18:13should. It turns out a warm bath is when
  530. 18:15we get your journals in a minute, super
  531. 18:17uh great for my recovery for whatever
  532. 18:19reason and my sleep. You never have to
  533. 18:20take it off and you can slide on the
  534. 18:23battery charger. So, you can have
  535. 18:27essentially the opposite experience that
  536. 18:29I had with my Apple Watch. The Apple
  537. 18:31Watch was annoying cuz it's I'm getting
  538. 18:33alerts and I'm getting alerts for things
  539. 18:35that I app I installed 2 years ago.
  540. 18:37And it's just constantly bothering you.
  541. 18:39People think you're rude when you look
  542. 18:41at the watch.
  543. 18:42And then the battery dies every,
  544. 18:44you know, whatever. For the Apple Watch,
  545. 18:46I think I might have gotten to 24 hours
  546. 18:48or 36 hours, 48 hours a couple times,
  547. 18:51but it's a terrible experience. With
  548. 18:53this, I
  549. 18:54I mean, I I've made it 10 days, you
  550. 18:56know, 14 days, no problem. And I carry I
  551. 18:59bought three battery chargers.
  552. 19:02I just keep I keep one in my desk, I
  553. 19:03keep one on the bedside, and one in my
  554. 19:05my travel bag. It's like these things
  555. 19:07aren't expensive.
  556. 19:08And that's a key to it, I think, as
  557. 19:11well. Yeah, is the
  558. 19:13the amount people wear these.
  559. 19:15>> On average, a Whoop member wears Whoop
  560. 19:1823.6 hours a day.
  561. 19:21And as a consequence, we have
  562. 19:23just over 50 billion hours of continuous
  563. 19:26physiological data. So, it's one of the
  564. 19:28largest health data sets in the world.
  565. 19:31And now with the, you know, the advent
  566. 19:33of AI and what you can do with large
  567. 19:35data sets, it's just like a really
  568. 19:37exciting time to be working in this
  569. 19:39space.
  570. 19:40>> Do all the AI companies, like the
  571. 19:42frontier models, want to buy this data
  572. 19:43from you in aggregate? Is that like
  573. 19:46a huge business for you guys eventually?
  574. 19:48How do you think about that? Or building
  575. 19:49your own models?
  576. 19:51>> Yeah, today we're building our own
  577. 19:52models, you know, foundational models
  578. 19:54with in the company that are essentially
  579. 19:57training on top of this data. So, one
  580. 19:59>> using open source models or you're
  581. 20:01you're partnering with
  582. 20:02>> our own models, we've got open source
  583. 20:04models, and and what's amazing is
  584. 20:07you've got this huge physiological data
  585. 20:09set, but then you also now have other
  586. 20:12data sets, right? So, people are
  587. 20:14uploading their blood tests or they're
  588. 20:15doing advanced labs through Whoop,
  589. 20:17they're uploading medical records.
  590. 20:20And Um, so, as an example, we're we're
  591. 20:22now starting to see indications that
  592. 20:25through physiological signals, we might
  593. 20:27be able to predict that a biomarker is
  594. 20:29out of range without actually measuring
  595. 20:31the biomarker itself.
  596. 20:33>> Wow.
  597. 20:33>> And so then, you know, you could give
  598. 20:35someone a very targeted, "Hey, we think
  599. 20:37you're you know, we think you have high
  600. 20:39cortisol. You should get this one test."
  601. 20:41And and it gets you know, and it gets
  602. 20:43super it gets super targeted, which is
  603. 20:45exciting.
  604. 20:46>> Which the AI would be able to figure
  605. 20:47out. The AI is going to look at all this
  606. 20:49data and say, "Hey, maybe there's a
  607. 20:50cortisol issue here." Or here's the
  608. 20:52possibilities, which is super
  609. 20:54fascinating. So, not your you see your
  610. 20:56business in the future as this AI
  611. 20:59assistant. And you added an AI
  612. 21:00assistant, I think, to the product less
  613. 21:02than 6 months ago. I'm addicted to it
  614. 21:04now.
  615. 21:04>> Yeah.
  616. 21:05>> And you have these ongoing
  617. 21:07conversations. It logs the
  618. 21:09conversations. And so now it was um I'll
  619. 21:13be candid, pretty dumb at the start. It
  620. 21:15would be like [laughter] you know, you
  621. 21:16could talk to it and you'd be like,
  622. 21:17"Yes, you had this rate. Okay, thanks
  623. 21:19for that rate." But now it's gotten to
  624. 21:20be more sophisticated cuz now when I
  625. 21:22tell it, "I'm in Japan.
  626. 21:25Uh you didn't record my sleep." It's
  627. 21:27like, "Oh, okay. Here's what's
  628. 21:29happening." And it actually is
  629. 21:30understanding the product.
  630. 21:32And I I I guess you're doing some
  631. 21:34reinforcement learning.
  632. 21:35>> Yeah.
  633. 21:36>> And it's got to be that these 4 million
  634. 21:38members, including myself, are now
  635. 21:40telling it where the product breaks down
  636. 21:42because
  637. 21:43when you
  638. 21:45um
  639. 21:45or or where the opportunities are to add
  640. 21:47more features, however you want to look
  641. 21:48at it. But there's this constant
  642. 21:50struggle I was having with changing time
  643. 21:52zones. And was my
  644. 21:54um
  645. 21:55was my sleep getting recorded properly
  646. 21:57so then I could get my recovery. And
  647. 21:59then I started asking
  648. 22:00uh and then it prompted me and said,
  649. 22:02"Hey, by the way,
  650. 22:05w- when are you leaving for Japan?" Or
  651. 22:06whatever. And I was like, "Here's my
  652. 22:07flight. This is when I land." And it was
  653. 22:10like, "You should sleep at the first
  654. 22:11half and then not go to bed when you get
  655. 22:13to Japan. Don't have caffeine at this
  656. 22:15time." So, somebody in the company, I
  657. 22:17think, explicitly started doing a time
  658. 22:20zone change. Or did it just learn that
  659. 22:23and infer it? What Did you Did you get
  660. 22:25specific about that? And how are you
  661. 22:26using the AI coach?
  662. 22:28>> We spun up a team on travel specifically
  663. 22:30because it's such a popular use case for
  664. 22:32a lot of our members and you know, our
  665. 22:34origins were with athletes, but now
  666. 22:36we've got this wide audience of aspiring
  667. 22:38people. You know, I'd say that's really
  668. 22:40the If you think about who's Whoop
  669. 22:41targeting, it's the aspiring. And that
  670. 22:44could be a great athlete, that could be
  671. 22:45someone who's fit, but it could also
  672. 22:47just be someone who wants to have more
  673. 22:48energy for their family and their job
  674. 22:51and their lives.
  675. 22:51>> Yes. That's right.
  676. 22:52>> And wants to live longer, right?
  677. 22:54>> Yeah, live longer.
  678. 22:55>> But the AI uh the AI coach is a big part
  679. 22:57of that and it's a big part of our
  680. 22:59future and you know, we've been working
  681. 23:01on it for years now. I'm glad to to hear
  682. 23:03that you feel like it's getting good.
  683. 23:05>> Yeah.
  684. 23:05>> About 80% of our
  685. 23:06>> it's like a seven and a half right now.
  686. 23:08Seven and a half out of 10. I think
  687. 23:09there's so much potential for it, yeah.
  688. 23:11>> As long as it's good enough for you to
  689. 23:13be engaging with it, it's just going to
  690. 23:14keep getting better with time and we're
  691. 23:17getting better at that, too. And
  692. 23:19and so
  693. 23:22you know, one thing that's really
  694. 23:23interesting, again back to these data
  695. 23:25sets, some physiological data we talked
  696. 23:27about, that's from the sensor. Then
  697. 23:29you've got the advanced labs and the
  698. 23:31blood testing, you've got the medical
  699. 23:32records coming in. But actually this is
  700. 23:35this is another very important piece of
  701. 23:37data, which is all sorts of user
  702. 23:39feedback, right? Like the journal
  703. 23:42itself. So about just over 50% of our
  704. 23:45members journal every day.
  705. 23:47>> This is a good point to explain what the
  706. 23:49journal is.
  707. 23:50>> Yeah.
  708. 23:50>> I'm sorry that I keep explaining your
  709. 23:52features, but I'm so passionate about
  710. 23:53the product as you can hear.
  711. 23:55>> No, you're doing great. [laughter] So
  712. 23:57the
  713. 23:58the Whoop journal is essentially a
  714. 24:00hundred plus different behaviors,
  715. 24:02lifestyle decisions,
  716. 24:05you know, supplements, drugs, you name
  717. 24:06it, that someone might want to log. So
  718. 24:09popular things that people log every day
  719. 24:11are like, did I drink alcohol last
  720. 24:12night? Was I hydrated? Did I travel? Uh
  721. 24:15you know, did I meditate? Was I happy?
  722. 24:17Was I sad? You know, was I stressed? Uh
  723. 24:20and and all of this anecdotal
  724. 24:23information also builds on uh on these
  725. 24:27data sets where you know, if you wanted
  726. 24:29to come up with an algorithm for
  727. 24:31predicting whether someone would be
  728. 24:32happy, you would actually need a fair
  729. 24:34amount of data from someone on uh you
  730. 24:37know, on their overall mood as an
  731. 24:39example. Uh so, anyway, we're excited
  732. 24:41about bringing all these different types
  733. 24:43of data sets together and it's one thing
  734. 24:45that we feel uniquely positioned to do
  735. 24:47because not that many companies
  736. 24:49um you know, have people opening their
  737. 24:51app eight times a day and 80% of their
  738. 24:55member base interacting with the AI.
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  751. 25:27and start using free resources to build
  752. 25:30your business today.
  753. 25:35>> The journal was a major unlock for me.
  754. 25:38Here's from a user perspective since
  755. 25:40we're doing a whole like user uh session
  756. 25:42here. What's really interesting about it
  757. 25:44is you get these behavioral insights and
  758. 25:46I think you get into a behavioral
  759. 25:48insight when you've used it 10 times,
  760. 25:50five yeses, five nos.
  761. 25:51>> Right.
  762. 25:52>> As an example, if you're doing creatine,
  763. 25:54somebody's paying attention
  764. 25:56>> at Whoop and uh I guess you got a lot of
  765. 25:57How many people working there now?
  766. 26:00>> 1,200.
  767. 26:01>> 1,200. Whoa. That's That's growing
  768. 26:03significantly.
  769. 26:04>> Yeah, we grew.
  770. 26:05>> Yeah. Wow. So, when you pull up your
  771. 26:08your behavioral insights and in the
  772. 26:09morning it will ask you and prompt you
  773. 26:11cuz in the morning's when everybody
  774. 26:12opens this to check their sleep score,
  775. 26:13recovery, it prompts you. You can start
  776. 26:15to figure out after this five and five
  777. 26:20what impact that behavior has on
  778. 26:23recovery.
  779. 26:24So, it turns out for a warm bath
  780. 26:28uh which was never my thing. I hate
  781. 26:30baths. Not my thing. Like I'm a guy like
  782. 26:32going in a bath, hanging out in a bath.
  783. 26:33I have no interest. I'm like I'm like a
  784. 26:35guy from Brooklyn like
  785. 26:37kind of feels weird to be in a bath with
  786. 26:39the candles.
  787. 26:39>> Any salts in the bath? Are you adding
  788. 26:41fragrance?
  789. 26:42>> add the Yes, you got me. I'm adding
  790. 26:44salts to the bath. Yes, and that's now
  791. 26:46also tracked.
  792. 26:47>> It helps.
  793. 26:48>> It helps. Warm bath
  794. 26:50plus 7%
  795. 26:52>> Wow.
  796. 26:53>> on my recovery. Have you ever heard of
  797. 26:55something like that?
  798. 26:56>> That's very high as a as a response. So,
  799. 26:59you know, for folks who are who are
  800. 27:00trying to figure out what we're talking
  801. 27:01about, essentially when you log these
  802. 27:03things, Whoop will then will tell you
  803. 27:04what's positively or negatively
  804. 27:06affecting your recovery score. So, a big
  805. 27:08wake-up call for a lot of people ends up
  806. 27:10being alcohol because it'll show you
  807. 27:12that alcohol has this like hugely
  808. 27:14negative effect
  809. 27:15>> disastrous
  810. 27:16>> on your recovery.
  811. 27:17>> It's poison. I don't drink, so I never
  812. 27:19even log it, but I'm You have a couple
  813. 27:21of beverages now and again, Will?
  814. 27:23And then what impact does it have on
  815. 27:24your super score?
  816. 27:27>> with alcohol. Although it's got a -9%
  817. 27:30for me. So, I'm now looking at I'm now
  818. 27:32looking at my behavior insights. Here's
  819. 27:34a sneaky one for everyone.
  820. 27:35>> Have Have Wait, have you considered
  821. 27:36having that drink while you're in the
  822. 27:37warm bath?
  823. 27:38>> Yeah, right.
  824. 27:39>> Maybe you have a drink.
  825. 27:40>> Maybe I should start adding more baths,
  826. 27:42but I do I do steam room, I do cold
  827. 27:44plunge.
  828. 27:45>> Oh, yeah. How's that working out?
  829. 27:47>> Those are more neutral, but I like the
  830. 27:48way they make me feel. And there's a lot
  831. 27:50of longevity research on saunaing and
  832. 27:53contrast therapy. So,
  833. 27:56second to alcohol for being the most
  834. 27:58negative for me is a late meal.
  835. 28:01So,
  836. 28:02>> Yes.
  837. 28:02>> eating within 3 hours of bedtime, we've
  838. 28:05now seen across the entire Whoop
  839. 28:06population is really detrimental to your
  840. 28:09sleep and your recovery. And it's
  841. 28:11because your body's still digesting for
  842. 28:13those first few hours that you're in
  843. 28:14bed.
  844. 28:16And as a consequence, you're not getting
  845. 28:17quality sleep.
  846. 28:19>> So, you get high stress during the
  847. 28:20sleep, I would assume, yeah? The high
  848. 28:22that whole high stress thing. Here's
  849. 28:23mine. For some reason, vitamin D, -3. I
  850. 28:27don't know if that's accurate or not,
  851. 28:28but I was putting a little vitamin D in,
  852. 28:30maybe that's a false positive.
  853. 28:31>> It could be that the days you took it
  854. 28:33were days that you were traveling or you
  855. 28:36know there could be something else going
  856. 28:38on. There's some yeah there's a
  857. 28:39correlation here that we're not seeing
  858. 28:40yet.
  859. 28:41>> By the way you can ask you can ask Whoop
  860. 28:43that. You can say that's a great idea.
  861. 28:45I'm seeing vitamin D minus three does
  862. 28:47that make sense? What could be going on?
  863. 28:50And maybe it'll it'll look at your
  864. 28:51travel alongside that. Okay this is a
  865. 28:54modest difference.
  866. 28:56And it's a correlation not evidence that
  867. 28:58vitamin D caused the change. Your recent
  868. 29:00recovery has ranged 27% to 87% but you
  869. 29:03haven't logged vitamin D in the 14 day
  870. 29:04stretch so there's no recent comp sorry
  871. 29:06you're given your thoughtful cross path
  872. 29:08you know okay. So I got a little more
  873. 29:09work to do on that one. But plus five
  874. 29:11strain is minus five on recovery that
  875. 29:14makes total sense.
  876. 29:15>> Yeah so when you work out your body
  877. 29:17needs to recover.
  878. 29:18>> Plus 1% of the day in high stress
  879. 29:21zone minus 9% on recovery. So you know
  880. 29:26through my temp
  881. 29:28the stress score comes from what?
  882. 29:30Temperature heart rate HRV?
  883. 29:32>> Primarily HRV but it's also using other
  884. 29:35sensing.
  885. 29:35>> Got it. So and that's kind of your is
  886. 29:38that your special sauce there
  887. 29:38proprietaryness in the in that
  888. 29:41the stress score?
  889. 29:42>> The stress score itself is something
  890. 29:44that we invented. Of course we based it
  891. 29:46on physiological research. And I would
  892. 29:48say that's one of the hard things about
  893. 29:50this space which is how do you take
  894. 29:53medical research that's credible
  895. 29:55and then a lot of data because you're
  896. 29:58going to be dating getting data from
  897. 29:59consumers and then great design right?
  898. 30:02Because at the end of the day you have
  899. 30:03to design something to ultimately have a
  900. 30:05score that people want to look at.
  901. 30:08>> Mhm.
  902. 30:08>> And and so there's a lot of science to
  903. 30:11it but there's also art to it. And I
  904. 30:12think it's I think it's something Whoop
  905. 30:14has been very good at. You know the
  906. 30:15recovery score and
  907. 30:17our now our health span score is is the
  908. 30:20most screenshotted page in the app.
  909. 30:22>> Makes total sense yeah when you share
  910. 30:23that.
  911. 30:24Consistent bedtime plus four caffeine
  912. 30:26plus four creatine plus four
  913. 30:29morning sunlight plus three. So now that
  914. 30:31I have this I I also do some meditation
  915. 30:34with the Calm app and with Waking Up or
  916. 30:37on my own, that also I don't have enough
  917. 30:39data in there yet cuz I keep forgetting
  918. 30:40to log it, but you it does log my
  919. 30:43skiing. So, I use slopes.
  920. 30:45>> Yeah.
  921. 30:46>> And so, slope you're a skier, Will, or
  922. 30:48no?
  923. 30:49>> I ski, but not it sounds I'm not using
  924. 30:51an app for skiing. So, my sense is you
  925. 30:53ski more than I do.
  926. 30:54>> I mean, I try to get to 30, 40 days a
  927. 30:56year.
  928. 30:57But, 2 hours a day. So, it's like
  929. 30:59executive skiing,
  930. 31:00CEO skiing, if you catch my drift. Do a
  931. 31:02podcast before
  932. 31:03>> And you're doing it in Japan.
  933. 31:06>> I do 5, 10 days in Japan is the goal.
  934. 31:09The rest are at my ski house in
  935. 31:11>> That's elite skiing.
  936. 31:12>> Yes, yes. So, you can come with me and
  937. 31:14Tucker Carlson if you're into it. It's a
  938. 31:16really weird trip.
  939. 31:16>> Great. Great.
  940. 31:17>> The other nice thing is it pulls in my
  941. 31:20slopes data and puts it as an activity.
  942. 31:22So, you have an activity tracker. And
  943. 31:25the activity tracker is really great.
  944. 31:26You get to, you know, I do these long
  945. 31:28walks in Japan or when I'm in New York,
  946. 31:30I love to do long walks. My age, long
  947. 31:32walks and rocking and farmers walks are
  948. 31:35like the key to longevity, I'm told. And
  949. 31:38the great thing is now it knows that and
  950. 31:40it's making a training program for me
  951. 31:42around that and it asked me the AI,
  952. 31:45"What's my goal?" I said, "My goal is to
  953. 31:47not get injured and ski better." And
  954. 31:50these are the exercises I know are going
  955. 31:52to help. It's now the AI understands my
  956. 31:56goals,
  957. 31:57kind of coaching me and setting up
  958. 31:58plans, and then
  959. 32:00lo and behold, one of the things I I
  960. 32:03think I had asked you for maybe on DM
  961. 32:05somewhere on Twitter or something. You
  962. 32:06know, I take a GLP. So, I started
  963. 32:08tracking it. I take a light GLP, lost 43
  964. 32:11lbs on my
  965. 32:13Whoop.
  966. 32:13>> That's awesome.
  967. 32:14>> Oh, well, yeah. And I mean, let me tell
  968. 32:16you, that makes a difference. When
  969. 32:17you're 213, you get to 170, skiing,
  970. 32:19sleeping, everything. I wish I had
  971. 32:20Whooped during that journey.
  972. 32:22>> Did your resting heart rate go down a
  973. 32:23lot?
  974. 32:24>> Yeah, I wasn't fully on Whoop for the
  975. 32:25majority of that. So, that would have
  976. 32:27been so cool to have. You know what?
  977. 32:28I'll gain the 40 lbs back and then lose
  978. 32:29it.
  979. 32:30But, now I'm on a maintenance dose and
  980. 32:32you just released a GLP tracker that has
  981. 32:35in it
  982. 32:36all the cohorts of things you want to
  983. 32:38make sure you're doing when you're
  984. 32:39taking GLP, including protein
  985. 32:41consumption. So maybe you could talk a
  986. 32:43little bit about that and how GLPs are
  987. 32:46kind of making their way into the uh the
  988. 32:49ecosystem here.
  989. 32:50>> Well, in general, you know, I think in
  990. 32:52line with this theme of we want to have
  991. 32:54a lot of data under the WHOOP umbrella
  992. 32:56so that we can actually give you the
  993. 32:57right insights. If you're taking a
  994. 32:59GLP-1, that's a pretty meaningful, you
  995. 33:02know, shift to what's going to happen
  996. 33:03for your body. And one of the challenges
  997. 33:05with GLP-1s is that typically speaking
  998. 33:09about 50% of the weight that someone
  999. 33:11loses is fat and 50% is muscle.
  1000. 33:15And, [clears throat]
  1001. 33:15you know, so that's how sometimes people
  1002. 33:17can end up getting quite frail even
  1003. 33:19though they've lost a considerable
  1004. 33:20amount of weight. And and so it's good
  1005. 33:23for WHOOP to know that you're on a GLP-1
  1006. 33:25and then in turn, it's really going to
  1007. 33:26push you to to get some activity and
  1008. 33:29hopefully a little bit of strength
  1009. 33:30training even if it's just body weight
  1010. 33:32in so that you don't end up losing that
  1011. 33:35muscle. And I think that's also where
  1012. 33:37the the appropriate diet with protein
  1013. 33:39and, you know, we've heard some
  1014. 33:41anecdotal success around people taking
  1015. 33:43creatine while they're on GLP-1s. Uh I
  1016. 33:46think is is super important. And, you
  1017. 33:48know, just to say like we have all this
  1018. 33:50data and and
  1019. 33:52uh and we take it very seriously and we
  1020. 33:54want it to be secure and private. We've
  1021. 33:57actually gone through the uh oh, here we
  1022. 33:59go.
  1023. 34:00>> Yeah, I'm just I you know, I mirrored my
  1024. 34:01phone. Here's my actual WHOOP. You can
  1025. 34:03see my resting heart rate and all that,
  1026. 34:05but I added my GLP there. Um and it
  1027. 34:07said, you know, you got to get to 9,800
  1028. 34:09steps now. You got to do two strength
  1029. 34:11activities a week, hydration 7 days a
  1030. 34:13week, protein.
  1031. 34:14And then uh just check off that you took
  1032. 34:16your GLP and it took me through a little
  1033. 34:18script
  1034. 34:19to say um
  1035. 34:22you know, how often do you take it, etc.
  1036. 34:24>> And there would have been a process
  1037. 34:25here, I imagine, where the AI was asking
  1038. 34:28you about some of this and you
  1039. 34:29ultimately confirmed you wanted to do
  1040. 34:30these things and have a plan, right?
  1041. 34:33>> Yeah, absolutely. Um and I'm at 300 days
  1042. 34:36on my streak here.
  1043. 34:37>> But see, the other thing you added, um
  1044. 34:39you added uh I guess badges a little bit
  1045. 34:41more kind of like Peloton has like
  1046. 34:43insane number of badges and so you get
  1047. 34:45to see where you're at and like I am a
  1048. 34:48rocking machine on my
  1049. 34:51I'm in the top 1% of people doing rock
  1050. 34:53rocking and farmer so that's like a
  1051. 34:55little competitive thing.
  1052. 34:56>> Yeah, there you go. You got to maintain
  1053. 34:58that now. You got to keep rocking every
  1054. 34:59day.
  1055. 35:00>> Okay, so let's let's talk about you and
  1056. 35:03your relationship with the FDA little
  1057. 35:05controversy here. It's been covered over
  1058. 35:08and over again. All these devices I
  1059. 35:10guess
  1060. 35:11are not under medical devices and maybe
  1061. 35:15you could explain to us how this FDA
  1062. 35:18looks at you versus other device medical
  1063. 35:21devices and how that's changed over time
  1064. 35:24but
  1065. 35:25you have blood pressure insights BPI
  1066. 35:28and you launch it the FDA was a little
  1067. 35:30bit like hey
  1068. 35:33we're not happy here
  1069. 35:35and then you have the ECG heart
  1070. 35:37screening stuff and
  1071. 35:41all of these devices whether it's my
  1072. 35:42Apple Watch
  1073. 35:43>> cleared.
  1074. 35:44>> And that's medically cleared so and when
  1075. 35:46you do that these things
  1076. 35:48you always get this disclaimer hey
  1077. 35:50listen we're not
  1078. 35:51in the heart attack business so when I
  1079. 35:53had those things it's up to me to
  1080. 35:55interpret that or a doctor but talk to
  1081. 35:57me about the tension
  1082. 35:59and [snorts] how it's been going across
  1083. 36:00the two administrations cuz now you've
  1084. 36:02lived through
  1085. 36:04you know
  1086. 36:05Trump go go rah rah President Trump is
  1087. 36:07like
  1088. 36:08all in on disrupting
  1089. 36:11and he and he put a Kennedy in there to
  1090. 36:13do that and and he's a bit of a
  1091. 36:15disruptor himself and he's very pro
  1092. 36:16business
  1093. 36:18and then Biden obviously maybe a little
  1094. 36:20more regulation less pro business
  1095. 36:23definitively less pro business but I
  1096. 36:24don't know in the medical space how that
  1097. 36:26happened so talk to me it's not a
  1098. 36:27politics show but you you're all running
  1099. 36:29into regulation now.
  1100. 36:31>> Well just to say like it's been a
  1101. 36:33certainly a long process for Whoop and
  1102. 36:34working with the FDA and we've worked
  1103. 36:36with them in a lot of different contexts
  1104. 36:39which I'll talk about here in a second
  1105. 36:40and you know the history of very
  1106. 36:42innovative technology with, you know,
  1107. 36:45somewhat dated regulatory policies is a
  1108. 36:48history that has controversy from time
  1109. 36:50to time. So, I'm not surprised that
  1110. 36:51we've had some challenges or
  1111. 36:53disagreements along the way, but I'm
  1112. 36:55actually really happy with with our
  1113. 36:57relationship with the FDA today. Now, 4
  1114. 37:00years ago
  1115. 37:02I really wanted to be able to do blood
  1116. 37:04pressure monitoring. And historically,
  1117. 37:06you needed a cuff for that, and it was
  1118. 37:08really a pretty difficult signal
  1119. 37:10processing problem. There was no product
  1120. 37:12on the market that could measure blood
  1121. 37:14pressure accurately from the wrist. And
  1122. 37:16so, we set out to see if we could do it.
  1123. 37:19And one of the ways that we collected a
  1124. 37:21huge data set on it
  1125. 37:23was in collaboration with our members,
  1126. 37:25where we asked members if they wanted to
  1127. 37:28participate in a stress, sleep, and
  1128. 37:31blood pressure study. And as part of
  1129. 37:35that, we actually had 70,000 people
  1130. 37:37enroll. So, think about, you know, the
  1131. 37:39ability to generate studies at at a huge
  1132. 37:41scale fast.
  1133. 37:43And and so, people were actually
  1134. 37:46uploading their blood pressure readings
  1135. 37:48every single day for a number of weeks.
  1136. 37:51And what that allowed us to do was to
  1137. 37:53build out a pretty powerful data set on
  1138. 37:56on blood pressure monitoring, and also
  1139. 37:59to be able to train that alongside all
  1140. 38:00of the physiological data that we were
  1141. 38:02already collecting.
  1142. 38:04Anyway, fast forward, we get to a period
  1143. 38:06where all of a sudden we've got a very
  1144. 38:08powerful algorithm
  1145. 38:10for measuring blood pressure, and that's
  1146. 38:11one of the things that we do, I think,
  1147. 38:13very well at Whoop is, you know, we pick
  1148. 38:15a hard physiological signal, and then we
  1149. 38:17say we want to be able to measure it as
  1150. 38:18accurately or within a similar accuracy
  1151. 38:20as a medical device,
  1152. 38:22and then we look to bring that to
  1153. 38:23consumers. And there was controversy
  1154. 38:26around blood pressure monitoring before
  1155. 38:28we launched, because prior to launching
  1156. 38:30it historically, blood pressure had been
  1157. 38:34under the category of physiological
  1158. 38:36signals that needed to be a {quote}
  1159. 38:39medical device.
  1160. 38:41And just as some, you know, background
  1161. 38:43for for our listeners, the FDA is really
  1162. 38:46supposed to evaluate uh
  1163. 38:49products that have a medical diagnosis.
  1164. 38:52And and then if you're not providing a
  1165. 38:55medical diagnosis, then it falls under a
  1166. 38:57category called wellness.
  1167. 38:59And
  1168. 39:01and there's like a pretty good, you
  1169. 39:02know, history for this with with heart
  1170. 39:04monitoring, for example, where if you do
  1171. 39:07heart rate monitoring for exercise,
  1172. 39:09that's wellness. If you do heart rate
  1173. 39:11monitoring for sleep, that's wellness.
  1174. 39:13If you do heart rate monitoring
  1175. 39:15for
  1176. 39:17you know, AFib detection or heart attack
  1177. 39:20prediction, okay, that needs to be
  1178. 39:21regulated. So the FDA in the past had a
  1179. 39:24pretty clear distinction for heart rate.
  1180. 39:26This is wellness, this is medical,
  1181. 39:29right? With blood pressure, they said
  1182. 39:31that if you're measuring blood pressure,
  1183. 39:33it has to be medical. But the problem
  1184. 39:36with that is there's an avalanche of
  1185. 39:38research that supports that, not
  1186. 39:40surprisingly, blood pressure affects
  1187. 39:42your stress, it affects your sleep, it
  1188. 39:44affects your overall well-being.
  1189. 39:46And we felt like there was a pretty
  1190. 39:48clear lane for us to introduce a blood
  1191. 39:50pressure feature that was a wellness
  1192. 39:52feature. And so we launched the feature,
  1193. 39:55the FDA
  1194. 39:57you know, came back and said that they
  1195. 39:58felt like it needed to be regulated.
  1196. 40:01>> [snorts]
  1197. 40:01>> They actually sent us a warning letter.
  1198. 40:02There was a big disagreement that played
  1199. 40:04out that was quite public about it. But
  1200. 40:07we you know, we stuck to our guns and
  1201. 40:09and I ultimately really believe in in
  1202. 40:13the way that we approached it. And
  1203. 40:15through a long process,
  1204. 40:17the FDA actually has since updated their
  1205. 40:20guidelines. I think based on our case,
  1206. 40:23but also based on feedback from the
  1207. 40:24industry.
  1208. 40:26That supports that blood pressure can
  1209. 40:29also have wellness applications. And and
  1210. 40:32so you know, our blood pressure insights
  1211. 40:34feature is still available for
  1212. 40:36consumers. And just to say it, we have
  1213. 40:40we have these conversations with the FDA
  1214. 40:41across a lot of different categories. We
  1215. 40:44also has medical clearances from the
  1216. 40:46FDA. So our ECG feature where you can
  1217. 40:50literally do an ECG from your wrist by
  1218. 40:52just putting your fingers on the Whoop,
  1219. 40:55um that's an FDA-cleared product, 510k.
  1220. 40:58And so, uh in some cases we're at we're
  1221. 41:01going through a process of clinical
  1222. 41:03trials to get FDA approval. In other
  1223. 41:05cases, we want to bring a product to
  1224. 41:07market faster, uh and we also believe
  1225. 41:10it's a wellness application. And so, uh
  1226. 41:12that's kind of a healthy, I think, uh
  1227. 41:15process for innovative companies like
  1228. 41:18Whoop to be uh pursuing with the FDA.
  1229. 41:20>> Why don't you guys uh I know you guys
  1230. 41:22have some sort of integration with this
  1231. 41:23Omron blood pressure cuff? I I saw like
  1232. 41:26I was like looking it up.
  1233. 41:28Why don't you guys just make your own
  1234. 41:29blood pressure cuff? Or what you know,
  1235. 41:31let's say we're at a $10 billion
  1236. 41:32valuation here. We got 4 million
  1237. 41:34members, 250 on average a year, let's
  1238. 41:37say, or got a billion in revenue. Like,
  1239. 41:40let's just buy this company Omron, or
  1240. 41:42let's get in the blood pressure cuff
  1241. 41:43business, and let's get in the scale
  1242. 41:45business while we're at it. Like, I
  1243. 41:46trust the brand. I just want the Whoop
  1244. 41:48scale. I want you to be the person who
  1245. 41:51puts the features in. I want you to
  1246. 41:53control it. I want it to work. I don't
  1247. 41:54want to have to go through Apple Health
  1248. 41:56in the back door to get my Fitbit scale
  1249. 42:00uploaded. And I I just want I want a
  1250. 42:02Whoop-branded blood pressure cuff and a
  1251. 42:04Whoop-branded scale.
  1252. 42:06>> Well, I appreciate you saying that. I
  1253. 42:07mean, in a lot of categories we are
  1254. 42:08debating, do we want to build this
  1255. 42:10ourselves, do we want to partner with
  1256. 42:11someone, or are we going to make an
  1257. 42:13acquisition? And uh and often we've
  1258. 42:16defaulted to either building or
  1259. 42:17acquiring versus partnering. In the case
  1260. 42:20of
  1261. 42:21um blood pressure cuffs, we felt like
  1262. 42:23that was a fairly commoditized
  1263. 42:24technology,
  1264. 42:26uh and there is, you know, medical uh
  1265. 42:29efficacy there. So, you know, if people
  1266. 42:31want to do a calibration with a cuff to
  1267. 42:33set up their Whoop, which will then
  1268. 42:35measure it without the cuff, cuz at the
  1269. 42:37end of the day we kind of want to
  1270. 42:38replace the cuff,
  1271. 42:39uh
  1272. 42:40that, you know, that feels like a a
  1273. 42:42fairly healthy system. And uh
  1274. 42:45and it's also worth saying that we we
  1275. 42:47feel like we've earned the right to um
  1276. 42:49accumulate all this data cuz we have
  1277. 42:51very strong data policies. So, we do not
  1278. 42:53sell data. You know, you are not the
  1279. 42:55product, Jason. Like, you're the
  1280. 42:58membership is the product. And
  1281. 43:00>> And that's a huge, I think, distinction
  1282. 43:02in this space, especially when you have,
  1283. 43:04you know, big technology company.
  1284. 43:07>> yeah, let's just call it what it is. You
  1285. 43:08may not want to say it, but I can.
  1286. 43:09They're They're They make their money
  1287. 43:11advertising and uh Apple Apple's pretty
  1288. 43:14good steward of data. I'll give them
  1289. 43:15that, but uh
  1290. 43:17you know, they make it on really
  1291. 43:18expensive hardware. So, you are unique
  1292. 43:19in both cases uh in terms of business
  1293. 43:21model. You're in our corner, which I
  1294. 43:23love. Yeah. Apple's going to make a
  1295. 43:25competitor, huh? They know their watch
  1296. 43:26kind of sucks and their software sucks.
  1297. 43:30Like, Apple Health is terrible.
  1298. 43:32>> The Apple Watch is the most successful
  1299. 43:34smart watch in the world. And so, I
  1300. 43:36think
  1301. 43:37in terms of the category that they built
  1302. 43:39to own, I think they um I think they've
  1303. 43:42been successful. I think it's an
  1304. 43:43important product for them. It's a It's
  1305. 43:46a product that does a lot of things. And
  1306. 43:48so, if you want text messages and emails
  1307. 43:51and to be able to call
  1308. 43:52>> But, they're going to make Are you
  1309. 43:54worried to keep you up at night that
  1310. 43:55they're going to make a Whoop
  1311. 43:56competitor?
  1312. 43:58>> Well, I have enormous respect for Apple.
  1313. 43:59I think they're one of the the best in
  1314. 44:01the world at hardware and software. I
  1315. 44:03think a lot of companies have entered
  1316. 44:05our space and had challenges with with
  1317. 44:07the screenless wearable or other
  1318. 44:09wearable products. You know, it's
  1319. 44:10interesting, 10 years ago,
  1320. 44:12there were more competitive products in
  1321. 44:13the market than there are today.
  1322. 44:15>> That's true, actually. Yeah, you had a
  1323. 44:17lot of people trying this.
  1324. 44:18>> People forget the whole Jawbone kind of
  1325. 44:20Fitbit era. There was a whole
  1326. 44:23>> Oh my god, yes.
  1327. 44:23>> class of Nike and Adidas and Under
  1328. 44:26Armour
  1329. 44:26>> Yeah, what And how dumb was it for Nike
  1330. 44:29to stop pursuing that? My god, that was
  1331. 44:31such an obvious smart thing for them to
  1332. 44:33do. They had a good start, and then they
  1333. 44:34gave the business to Fitbit, I believe,
  1334. 44:36and then they just got out of it. All
  1335. 44:37right, listen. It's time for lightning
  1336. 44:38round.
  1337. 44:39>> Oh, wow.
  1338. 44:40>> round. Lightning round with Will.
  1339. 44:42>> Yeah.
  1340. 44:42>> You got to be honest here. Here we go.
  1341. 44:44Bryan Johnson or Andrew Huberman? Pick
  1342. 44:46one.
  1343. 44:47>> For podcasting, Huberman.
  1344. 44:49>> Who's making a bigger contribution to uh
  1345. 44:51the the science and technology?
  1346. 44:53>> I think Huberman has a a wider audience.
  1347. 44:57I think Brian has pushed people's
  1348. 44:59imagination of what they should be
  1349. 45:01measuring, and I think both of those are
  1350. 45:02really helpful.
  1351. 45:03>> Cold plunge, cold shower. Cold plunge,
  1352. 45:06cold shower. Make a difference?
  1353. 45:08>> I'll say cold shower because it's very
  1354. 45:10accessible.
  1355. 45:11>> Okay.
  1356. 45:11>> And it's something that people can do
  1357. 45:13every day. And you do it for even 30
  1358. 45:15seconds, 60 seconds, you're just going
  1359. 45:17to feel a lot better.
  1360. 45:18>> Yeah, wakes you up. Red light therapy or
  1361. 45:20just the classic hot sauna?
  1362. 45:22>> I like the hot sauna.
  1363. 45:24>> Old school.
  1364. 45:24>> Yes. It gets hotter. I think the red
  1365. 45:26light thing is just marketing nonsense.
  1366. 45:29>> Yeah.
  1367. 45:30>> Yeah. Uh okay.
  1368. 45:32Zone two cardio.
  1369. 45:34This is for our age. I think you're 40
  1370. 45:36now, Will. Are you 40 yet?
  1371. 45:37>> 37.
  1372. 45:38>> 37, all right. So, I'll round you up to
  1373. 45:4040. I'm I'll round myself down to 50.
  1374. 45:42Zone two cardio or lifting? What What do
  1375. 45:45you think? If you have If you got to
  1376. 45:46pick one for my age and for your age.
  1377. 45:47>> I think this depends a lot on what
  1378. 45:49someone's goals are, but in general, I
  1379. 45:52think that everyone should be lifting
  1380. 45:54more weights and probably doing, you
  1381. 45:57know, if they have an hour to exercise,
  1382. 45:59they should spend more time lifting and
  1383. 46:01less time on an elliptical.
  1384. 46:03>> Love it.
  1385. 46:03>> Because people Yeah, because your your
  1386. 46:05muscle mass is such an important uh test
  1387. 46:08for longevity.
  1388. 46:09>> The alarm in Whoop is quite
  1389. 46:11sophisticated, Will. You can wake up
  1390. 46:13based on recovery, sleep score. So, the
  1391. 46:16recovery score, the sleep score, or with
  1392. 46:18a with a hard,
  1393. 46:20you know, 6:00 a.m.
  1394. 46:22Should you go recovery,
  1395. 46:25sleep score, or with a hard alarm so you
  1396. 46:28get your sleep consistency? Which one?
  1397. 46:30Pick one of the three.
  1398. 46:31>> If you're on vacation, you can go with
  1399. 46:33recovery or sleep, but if you're trying
  1400. 46:35to run a tech company, you better pick
  1401. 46:37an exact time.
  1402. 46:38>> Okay.
  1403. 46:39All right.
  1404. 46:40Coffee first thing in the morning,
  1405. 46:43wait 90 minutes. Which one? Wait 90
  1406. 46:45minutes for your coffee or just drink
  1407. 46:46the damn coffee and live your life?
  1408. 46:48>> I personally drink the coffee.
  1409. 46:50>> Yeah, let's go. All right. Strain score,
  1410. 46:54sleep score, recovery score. Which one
  1411. 46:57do you obsess over most? Of the Of the
  1412. 47:00big three, which one do you obsess over?
  1413. 47:03You can't say you're you're they're all
  1414. 47:04your children, you love them all
  1415. 47:05equally.
  1416. 47:06>> Recovery. I mean, I wake up every
  1417. 47:08morning waiting to see that that color
  1418. 47:11of that dial.
  1419. 47:12>> Wow, I love it. All right, listen.
  1420. 47:14There's your hour with Will from Whoop.
  1421. 47:16Great product. I give it my highest
  1422. 47:19endorsement. Eight Sleep, I'm an
  1423. 47:20investor in. I love that product, too.
  1424. 47:22Those are my two favorite health uh
  1425. 47:25products. And uh hey, at the time of uh
  1426. 47:27this recording, you have a little
  1427. 47:28announcement
  1428. 47:30about the king. No, not President Trump.
  1429. 47:33>> [laughter]
  1430. 47:34>> I got you. Not King Trump, but LeBron
  1431. 47:37James uh now playing for the
  1432. 47:39Philadelphia 76ers. Uh big announcement,
  1433. 47:41yeah?
  1434. 47:42>> Well, we're we're announcing today
  1435. 47:43LeBron James is uh now a global
  1436. 47:45ambassador for Whoop. So, uh he's been
  1437. 47:49on Whoop, interestingly, for 11 years.
  1438. 47:51>> Wow.
  1439. 47:52>> And uh we never had any formal
  1440. 47:54relationship with him. We loved that he
  1441. 47:55wore the product. Frankly, it was it was
  1442. 47:58really important in the early days that
  1443. 47:59he did wear the product cuz he was one
  1444. 48:01of the first 100 people to ever wear it.
  1445. 48:03And so, it was incredibly validating
  1446. 48:05that this incredible athlete was willing
  1447. 48:08to try a technology from an unknown
  1448. 48:10company called Whoop. And uh and it gave
  1449. 48:13us a lot of hope that we were onto
  1450. 48:14something, but it's been an
  1451. 48:16extraordinary to see his career uh over
  1452. 48:18two decades plus, and he's the uh he's
  1453. 48:22really the the pinnacle of performance
  1454. 48:24and and like longevity. And uh and so,
  1455. 48:27he joins a roster of ambassadors like
  1456. 48:30Cristiano Ronaldo and
  1457. 48:32uh Patrick Mahomes and uh Lewis Hamilton
  1458. 48:35and Aryna Sabalenka and Nelly Korda and
  1459. 48:38so on. So, it's a great group.
  1460. 48:40>> Now, you had a philosophy though early
  1461. 48:42on. We talked about this in our previous
  1462. 48:43discussions that like, hey, you're not
  1463. 48:46going to pay uh athletes to
  1464. 48:49uh wear it, you know, and you're not
  1465. 48:50going to beg them to wear it cuz they're
  1466. 48:51the customers. They're They're the ICP,
  1467. 48:53the ideal customer profile. um is this
  1468. 48:56like a maybe a change in thinking or is
  1469. 48:58this like a unique one-of-one case? Hey,
  1470. 49:00he's been on the product for 11 years
  1471. 49:01without a formal relationship and
  1472. 49:03you know, he's in that era now. He's
  1473. 49:05going to, you know, retire in a couple
  1474. 49:07of years that hey man, he's probably
  1475. 49:08going to go into this Kobe, Shaq
  1476. 49:11post playing era where where he gets in
  1477. 49:13deep into business. So, what what what's
  1478. 49:15the thinking here? And how do you think
  1479. 49:16about athletes writ large?
  1480. 49:18>> I think in general, if your business is
  1481. 49:20pre-marketing, so to speak, like you're
  1482. 49:22not in a stage where you're doing big
  1483. 49:25television advertisements and so on and
  1484. 49:27so forth, you should be really careful
  1485. 49:29paying anyone to use your product. You
  1486. 49:31know, you want people to love your
  1487. 49:32product authentically. And in our case,
  1488. 49:35it just so happened that early on, our
  1489. 49:36target market was these professional
  1490. 49:39athletes. And so, we needed them to
  1491. 49:41organically love the product. And by the
  1492. 49:44way, because you have to wear it 24/7,
  1493. 49:47there's no amount of money I'm going to
  1494. 49:48be able to pay an athlete to wear
  1495. 49:49something 24/7 if they don't like it.
  1496. 49:52>> Right.
  1497. 49:52>> So, on the flip side, it was like, well,
  1498. 49:54if if it actually works and it's
  1499. 49:56measuring their sleep and recovery and
  1500. 49:57they play better, you know, they should
  1501. 49:59want to pay for it. So, that was our
  1502. 50:00attitude for a long time. And you know,
  1503. 50:03we had a number of these
  1504. 50:05individuals who were best in class of
  1505. 50:07their sport um and global people uh that
  1506. 50:13uh wanted to invest in the company
  1507. 50:14because they loved it so much.
  1508. 50:16>> Amazing.
  1509. 50:16>> And from there, we also developed
  1510. 50:19relationships where we could use their
  1511. 50:20name, image, and likeness, which has a
  1512. 50:22value associated with it.
  1513. 50:24>> Heck, yes.
  1514. 50:24>> That we recognize uh to be able to do
  1515. 50:27advertising. And so, you know, they've
  1516. 50:29been amazing partnerships and uh I'm
  1517. 50:31very grateful that LeBron James is is
  1518. 50:34part of uh the Whoop roster.
  1519. 50:36>> Wait, uh are the players allowed to wear
  1520. 50:38these during games?
  1521. 50:40They're not, right?
  1522. 50:41>> That's something the NBA is still
  1523. 50:42looking at.
  1524. 50:43>> Got it. Yeah, cuz they're not allowed to
  1525. 50:44wear jewelry. They've got to take all
  1526. 50:45that off cuz of injuries, so but they
  1527. 50:47could put it cuz you can wear it on your
  1528. 50:50uh armband. They could embed it in like
  1529. 50:52a wrap, or so maybe some of them have
  1530. 50:53snuck it on the court. Who knows?
  1531. 50:55>> Well, you you probably saw the
  1532. 50:57Australian Open stuff.
  1533. 50:58>> No, I didn't. Tell me.
  1534. 51:00>> Well, in at Australian Open, the tennis
  1535. 51:02tournament
  1536. 51:02>> Yeah, I don't watch tennis.
  1537. 51:03>> a number of players were asked to take
  1538. 51:05their Whoop off while they were playing.
  1539. 51:08And uh it was I think in part because
  1540. 51:11the Australian Open uh didn't know what
  1541. 51:14they were wearing, but they were just
  1542. 51:16wearing it, you know, under their
  1543. 51:18armbands and everything else. And
  1544. 51:21the ITF, which is the International
  1545. 51:23Tennis Federation, actually had approved
  1546. 51:25Whoop to be worn in matches. So, the
  1547. 51:28Australian Open was kind of out of line.
  1548. 51:30And then next thing you know, um the
  1549. 51:32other majors have come forward saying
  1550. 51:33that wearables can be worn. So, I think
  1551. 51:36there's this sort of natural evolution
  1552. 51:37of
  1553. 51:38>> Yeah.
  1554. 51:39>> resisting it, safety checks. And by the
  1555. 51:41way, they're they're right to want to be
  1556. 51:43restrictive about what can be worn.
  1557. 51:45>> It's not a I don't I don't think it's a
  1558. 51:47safety thing if you're wrapping it
  1559. 51:48around your your armband or something
  1560. 51:50like that. I'd say it's
  1561. 51:51>> I mean, obviously I agree.
  1562. 51:52>> I'll tell you what's going on in the
  1563. 51:53background. Your your marketing
  1564. 51:54department's probably getting shaken
  1565. 51:55down. They're probably like, "Hey, you
  1566. 51:56know, we'd love to have Whoop involved.
  1567. 51:59It'd be terrible if something happened
  1568. 52:01to an athlete wearing
  1569. 52:031.2 oz, but if you were to put a logo
  1570. 52:06behind them for $10 million,
  1571. 52:08well, we might have a different
  1572. 52:09opinion."
  1573. 52:10>> You know all the ins and outs.
  1574. 52:12>> I I it's not my first time at this
  1575. 52:14rodeo.
  1576. 52:15>> [laughter]
  1577. 52:16>> I know the shakedown when I hear it.
  1578. 52:18>> How how are How are things for you in in
  1579. 52:21early stage venture? Are you Are you
  1580. 52:23starting to lead these billion-dollar
  1581. 52:24seed rounds or you're you're staying
  1582. 52:26true to the the accelerator model?
  1583. 52:29>> Uh you know, it's um
  1584. 52:31nobody wants to do year zero work. So, I
  1585. 52:34have leaned into that.
  1586. 52:36>> Right.
  1587. 52:36>> But then, you know, at the end um we we
  1588. 52:39have the syndicate and we have 4,000
  1589. 52:41members of it and we would syndicate our
  1590. 52:42early-stage seed deals. Hey, if you want
  1591. 52:44to get involved in this, you know, Jake
  1592. 52:46House putting in 100K, you might want to
  1593. 52:47put in 5K.
  1594. 52:48They kept asking me, "Can you get me
  1595. 52:49into Zipline? Can you get me into Whoop?
  1596. 52:52Can you get me into SpaceX, Anthropic,
  1597. 52:54whatever it is?" So, we started a
  1598. 52:56late-stage practice that we just started
  1599. 52:58this year at the syndicate. Thanks for
  1600. 52:59asking. And um
  1601. 53:00>> Great.
  1602. 53:01>> We did We did Zipline. We did Icon
  1603. 53:02Homes, the 3D-printed homes. These are
  1604. 53:04all billion-dollar companies, five
  1605. 53:05billion-dollar companies in vast space.
  1606. 53:07So, when I know the founder, the CFO
  1607. 53:09gives its approval, cuz you have to deal
  1608. 53:11with this, right? People doing
  1609. 53:12off-the-books transactions in SPVs and
  1610. 53:15buying out early employees and other,
  1611. 53:17you know, early investors. You have to
  1612. 53:18deal with some of this SPV madness.
  1613. 53:20>> I'll say this, it's complicated when
  1614. 53:22your business is failing and it's
  1615. 53:24complicated when your business is
  1616. 53:25winning. So, it's always complicated.
  1617. 53:28>> I think just uh my advice to everybody
  1618. 53:30with these SPVs, off-the-books,
  1619. 53:31whatever, is just
  1620. 53:34build a relationship with the CFO of the
  1621. 53:35company and just get their blessing for
  1622. 53:38it and let them know what you're doing.
  1623. 53:39And if they really don't want you to do
  1624. 53:40it, then you're going to have to accept
  1625. 53:42that, right? Like it's their company.
  1626. 53:45Uh I I don't like this idea of going
  1627. 53:47behind the back of the company and
  1628. 53:49>> The other thing to be wary of are these
  1629. 53:51secondary brokers who
  1630. 53:53they claim they've got shares from
  1631. 53:55someone at a price.
  1632. 53:56>> Yes.
  1633. 53:57>> And they go around saying that, but
  1634. 53:59they're really just trying to create a
  1635. 53:59market. And so
  1636. 54:01>> Happens to me all the time.
  1637. 54:03>> Yeah.
  1638. 54:03>> Uh cuz I literally like I'm on the board
  1639. 54:05of a company that's worth a couple
  1640. 54:06billion dollars and they come to me and
  1641. 54:08I say, "Okay, great. Um who who is it
  1642. 54:10with?" Because I got to I'm on the board
  1643. 54:11of the company. I got to talk to the CFO
  1644. 54:13and, you know, I can help coordinate
  1645. 54:14with you. And then crickets. And I'm
  1646. 54:16like, "Hmm."
  1647. 54:18They're fishing. It's always a fishing
  1648. 54:19expedition. This thing didn't really
  1649. 54:20exist 10, 15 years ago. Like the only
  1650. 54:23time I ever saw it was Facebook.
  1651. 54:25Uh and then Uber. When Masayoshi Son
  1652. 54:27came in, he uh he was like, "Hey guys, I
  1653. 54:29need you to sell some of these or I'm
  1654. 54:30going to invest in Lyft." And we were
  1655. 54:32like, "Okay." I gave him 10% of my
  1656. 54:34shares at the time. I was like, "Sure.
  1657. 54:36I'll take a little 10% off the top just
  1658. 54:38to keep Masayoshi from investing
  1659. 54:40>> What a run What a run that business has
  1660. 54:42had, but congrats.
  1661. 54:44>> Yeah, and I mean and right now, like
  1662. 54:45trading uh at a an all-time low PE and
  1663. 54:49they're surging and they have
  1664. 54:51Yeah, it's really weird to watch what's
  1665. 54:52happening. Like the anti-AI trade,
  1666. 54:54DoorDash, Uber,
  1667. 54:57Figma, [snorts]
  1668. 54:58you know, all the a lot of these
  1669. 54:59companies getting uh taken to the
  1670. 55:01woodshed a bit. Um and some of them are
  1671. 55:03just like not impacted by it, but hmm
  1672. 55:05AI's going to change everything. Lots of
  1673. 55:07great investment opportunities. We'll
  1674. 55:09see you all next time on the All-In
  1675. 55:11interview program. Go get a Whoop. Get
  1676. 55:13yourself a Whoop. Perfect Christmas
  1677. 55:15gift.
  1678. 55:15>> Thank you, Jason.
  1679. 55:16>> Appreciate you doing it, Will. Love the
  1680. 55:17product.
  1681. 55:18>> I'm going all in.
  1682. 55:26>> [music]
  1683. 55:34>> I'm going [music] all in.

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