1 00:00:05,040 --> 00:00:11,320 Speaker 1: Welcome to the mentor. I'm Ike Boris. Well, we've got 2 00:00:11,800 --> 00:00:14,560 Speaker 1: Alex so I guess that's sure for Alexandra. Yes, yeah, 3 00:00:14,600 --> 00:00:18,599 Speaker 1: but Alex is that rain correct? And we've got Matteo 4 00:00:19,160 --> 00:00:20,720 Speaker 1: French as Geddi Wow. 5 00:00:20,920 --> 00:00:21,720 Speaker 2: Yeah yeah. 6 00:00:21,800 --> 00:00:24,280 Speaker 1: And you guys are the co founders of a sleep 7 00:00:24,840 --> 00:00:26,680 Speaker 1: YEP and we're gonna talk about it. What is in 8 00:00:27,160 --> 00:00:29,400 Speaker 1: a moment. But you've come all the way from the 9 00:00:29,480 --> 00:00:32,920 Speaker 1: United States. Uh which part of the United States we 10 00:00:32,920 --> 00:00:33,240 Speaker 1: be from? 11 00:00:34,040 --> 00:00:36,560 Speaker 2: We're busy in Miami, but we fly with you from 12 00:00:36,600 --> 00:00:38,519 Speaker 2: New York where we spend a lot of time. Our 13 00:00:38,560 --> 00:00:40,200 Speaker 2: headquarters is in New York. 14 00:00:40,520 --> 00:00:43,440 Speaker 1: And what am I getting Spanish? What's your accent? 15 00:00:43,640 --> 00:00:44,120 Speaker 2: Italian? 16 00:00:44,200 --> 00:00:49,000 Speaker 1: Italian? Sorry? Yeah, that's actually a big mistake. Wow. Uh. 17 00:00:49,080 --> 00:00:52,320 Speaker 3: I like Spanish, so I'm good Spanish, sucas I'm Mexican. 18 00:00:52,440 --> 00:00:57,120 Speaker 1: So so your he speaks Spanish, he's Italian, actual Italian 19 00:00:57,480 --> 00:00:57,920 Speaker 1: from Italy. 20 00:00:58,280 --> 00:01:02,440 Speaker 2: Yeah. There. I left Italy when I was twenty eighth 21 00:01:02,520 --> 00:01:03,120 Speaker 2: something like that. 22 00:01:03,160 --> 00:01:05,080 Speaker 1: And I noticed only that you were a lawyer, Is 23 00:01:05,080 --> 00:01:05,440 Speaker 1: that right? 24 00:01:05,760 --> 00:01:09,240 Speaker 2: Yeah? Unfortunately, yeah, I too. 25 00:01:09,240 --> 00:01:12,160 Speaker 1: But what's interesting you worked at Alan Overy YEP and 26 00:01:12,360 --> 00:01:14,560 Speaker 1: I saw in the brief and we used to use 27 00:01:14,600 --> 00:01:17,160 Speaker 1: Alan Overy in London all the time. They're one of 28 00:01:17,160 --> 00:01:20,279 Speaker 1: the huge law factories in the United Kingdom, like actual 29 00:01:20,319 --> 00:01:22,119 Speaker 1: law factory. It gets so big. 30 00:01:22,240 --> 00:01:25,000 Speaker 2: Yeah. Yeah, there are four and alan Over is one 31 00:01:25,000 --> 00:01:27,200 Speaker 2: of the four, and then thresh Fields. I worked there too, 32 00:01:27,319 --> 00:01:29,560 Speaker 2: and then there are other other twos the other two. 33 00:01:29,640 --> 00:01:31,120 Speaker 2: So it was in finance. 34 00:01:31,440 --> 00:01:34,120 Speaker 1: You're in finance, so we used to use them for 35 00:01:34,760 --> 00:01:38,120 Speaker 1: structured financial deals too. But you're a bit younger than me. 36 00:01:38,200 --> 00:01:42,560 Speaker 1: I was doing this thirty eight years ago when I 37 00:01:42,680 --> 00:01:45,480 Speaker 1: was briefing Alan Overy from Australia and I used to 38 00:01:45,480 --> 00:01:48,240 Speaker 1: go there and meet them, but we did a lot 39 00:01:48,240 --> 00:01:50,800 Speaker 1: of structure finance stuff and I want to find a 40 00:01:50,840 --> 00:01:53,160 Speaker 1: little bit about how that helps you in doing what 41 00:01:53,200 --> 00:01:56,920 Speaker 1: you're doing. This is program is about introducing to the 42 00:01:56,960 --> 00:02:00,280 Speaker 1: business community business people who are successful. I want to 43 00:02:00,280 --> 00:02:03,600 Speaker 1: know what your mission is. You know, why did you 44 00:02:03,640 --> 00:02:05,440 Speaker 1: start this thing in the first place, and then what 45 00:02:05,520 --> 00:02:08,600 Speaker 1: a mean the road bumps, roadblocks, roadbumps that you've had 46 00:02:08,600 --> 00:02:10,960 Speaker 1: to deal with and what's your future look like. So 47 00:02:11,240 --> 00:02:15,600 Speaker 1: let's just start off with Alex. You're what part of 48 00:02:15,639 --> 00:02:18,760 Speaker 1: the co foundering pie do you fit into. 49 00:02:19,160 --> 00:02:22,680 Speaker 3: Yeah, so when we started ten years ago, Matteo and 50 00:02:22,680 --> 00:02:24,680 Speaker 3: then our other co founder, Max is our Coto, so 51 00:02:24,720 --> 00:02:28,320 Speaker 3: he's the tech brains behind all of this. They had 52 00:02:28,639 --> 00:02:31,560 Speaker 3: come together and you know, based on Matteo's problem and 53 00:02:31,639 --> 00:02:33,000 Speaker 3: probably tell you more about that and sort of his 54 00:02:33,080 --> 00:02:35,720 Speaker 3: insight around the lack of technology to solve sleep problems, 55 00:02:36,120 --> 00:02:38,840 Speaker 3: they created a first prototype of our very very first 56 00:02:38,840 --> 00:02:41,000 Speaker 3: product and they were like, okay, well we have this 57 00:02:41,560 --> 00:02:44,520 Speaker 3: and we need someone to sell it. And that's my background, 58 00:02:44,919 --> 00:02:48,720 Speaker 3: Comm's brand PR And obviously this was ten years ago. 59 00:02:48,760 --> 00:02:50,520 Speaker 3: I was young. I was like twenty four years old, 60 00:02:50,520 --> 00:02:52,480 Speaker 3: and I was naive enough to think, Okay, I'll figure 61 00:02:52,480 --> 00:02:54,799 Speaker 3: it out, even though I've never actually done this, And 62 00:02:54,960 --> 00:02:57,240 Speaker 3: I did it because I loved the mission and you know, 63 00:02:57,400 --> 00:02:59,800 Speaker 3: like how they were thinking about the power of technology 64 00:02:59,840 --> 00:03:02,560 Speaker 3: to improve sleep and they said, do you want to 65 00:03:02,600 --> 00:03:04,239 Speaker 3: be that person who's going to figure out how to 66 00:03:04,280 --> 00:03:06,840 Speaker 3: commercialize this product and help us position it in the market. 67 00:03:06,919 --> 00:03:09,200 Speaker 3: And I said yes, and here we are idents. What 68 00:03:09,320 --> 00:03:11,560 Speaker 3: was your background, Alex then it was so at the time, 69 00:03:11,600 --> 00:03:13,440 Speaker 3: I was working in New York at a fintech company, 70 00:03:14,200 --> 00:03:16,480 Speaker 3: but it was everything that I had done had been 71 00:03:16,520 --> 00:03:20,480 Speaker 3: in the space sort of like communications brand. Yeah, that's 72 00:03:20,480 --> 00:03:21,800 Speaker 3: what I went to school for. That's what I always 73 00:03:21,840 --> 00:03:22,240 Speaker 3: loved to do. 74 00:03:22,639 --> 00:03:24,679 Speaker 1: Yeah, but it's always very interesting because when you put 75 00:03:24,680 --> 00:03:27,280 Speaker 1: a thing like this together. We'll go back to the 76 00:03:27,280 --> 00:03:29,560 Speaker 1: original mission in the moment, but when you put some 77 00:03:29,600 --> 00:03:32,520 Speaker 1: of these together, you've got to have people who specialize 78 00:03:32,520 --> 00:03:35,160 Speaker 1: in the various parts. Someone's got to cut, someone's got 79 00:03:35,200 --> 00:03:39,000 Speaker 1: to sew, and someone's got to oversee. Yes, And I 80 00:03:39,920 --> 00:03:43,440 Speaker 1: don't know what roles you in that example that you play, 81 00:03:43,520 --> 00:03:47,440 Speaker 1: but often people setting up businesses try to do it 82 00:03:47,480 --> 00:03:49,600 Speaker 1: all on their own and they don't have a co 83 00:03:49,680 --> 00:03:52,480 Speaker 1: founder and they struggle because they're either not good at 84 00:03:52,480 --> 00:03:55,040 Speaker 1: any of those things or good at only one of 85 00:03:55,040 --> 00:03:58,160 Speaker 1: those things and struggle on the other two. In relation 86 00:03:58,240 --> 00:04:01,320 Speaker 1: to what you guys are doing, how hard does it 87 00:04:01,560 --> 00:04:05,560 Speaker 1: materio to find and how did you find your co founders? 88 00:04:05,880 --> 00:04:10,560 Speaker 2: Yeah, it's pretty hard because you need to look at 89 00:04:10,560 --> 00:04:13,360 Speaker 2: this in two dimensions. One, you need to find the 90 00:04:13,480 --> 00:04:15,960 Speaker 2: right people for the job. Right, So what you're saying, Okay, 91 00:04:16,200 --> 00:04:18,320 Speaker 2: do we have someone who can sell the product, do 92 00:04:18,360 --> 00:04:20,240 Speaker 2: we have someone who can build the product, And do 93 00:04:20,279 --> 00:04:22,680 Speaker 2: we have someone who can lead the company? So that 94 00:04:22,880 --> 00:04:26,799 Speaker 2: is complexity number one. Then complexity Number two is a company, 95 00:04:26,839 --> 00:04:29,040 Speaker 2: it will take you ten fifteen years to go public, 96 00:04:29,440 --> 00:04:32,599 Speaker 2: So it's almost like a marriage where then you need 97 00:04:32,640 --> 00:04:35,280 Speaker 2: to coexist with these people for ten fifteen years. And 98 00:04:35,320 --> 00:04:37,719 Speaker 2: it's not easy to find people that you really get 99 00:04:37,760 --> 00:04:40,640 Speaker 2: along even because there will be a lot of challenges, noise, 100 00:04:41,080 --> 00:04:43,800 Speaker 2: it will be a stressful ride, and so you really 101 00:04:43,880 --> 00:04:45,760 Speaker 2: need to enjoy these people and trust them. 102 00:04:46,080 --> 00:04:49,359 Speaker 1: How do you But how did you find Alex for example? 103 00:04:49,400 --> 00:04:52,320 Speaker 1: Like did you come across her and some other business 104 00:04:52,400 --> 00:04:55,040 Speaker 1: relationship or like would you just put an ad out 105 00:04:55,080 --> 00:04:55,880 Speaker 1: on LinkedIn? 106 00:04:56,000 --> 00:04:56,200 Speaker 2: Yeah? 107 00:04:56,600 --> 00:04:56,680 Speaker 1: No. 108 00:04:56,960 --> 00:04:59,040 Speaker 2: In our case, we are a very unique case because 109 00:04:59,080 --> 00:05:01,200 Speaker 2: we are also a couple, and so we were a 110 00:05:01,240 --> 00:05:04,200 Speaker 2: couple before eight sleep, and so usually you never want 111 00:05:04,240 --> 00:05:06,560 Speaker 2: to work with your partner, but in our case, we 112 00:05:06,560 --> 00:05:09,839 Speaker 2: were an exception because during our weekends we were always 113 00:05:09,880 --> 00:05:12,479 Speaker 2: building stuff. So we were doing hackat ons at the 114 00:05:12,520 --> 00:05:15,200 Speaker 2: two of us every weekend. We were building a new 115 00:05:15,240 --> 00:05:17,200 Speaker 2: tech product just for fun, and so. 116 00:05:17,160 --> 00:05:19,120 Speaker 1: We were sort of sleep just generally out. 117 00:05:19,120 --> 00:05:23,600 Speaker 2: Right generally, and so actually before eight sleep, we started 118 00:05:23,640 --> 00:05:26,560 Speaker 2: working on this other project, which was a three D 119 00:05:26,680 --> 00:05:31,560 Speaker 2: printing jewelry solution, so you could three D print any jewelry, 120 00:05:32,080 --> 00:05:35,039 Speaker 2: and that is when we started involving Max now is 121 00:05:35,240 --> 00:05:37,800 Speaker 2: the CTO. And so as a group, we started working 122 00:05:37,880 --> 00:05:41,880 Speaker 2: together during the weekends, well before eight Sleep, and then 123 00:05:41,880 --> 00:05:43,760 Speaker 2: we came up with the idea of eight Sleep And 124 00:05:43,800 --> 00:05:46,240 Speaker 2: at that point we already knew each other and say, okay, 125 00:05:46,320 --> 00:05:49,320 Speaker 2: why don't we do this together. To a certain degree, 126 00:05:49,360 --> 00:05:52,080 Speaker 2: we were naive. We didn't know, Okay, this will be 127 00:05:52,120 --> 00:05:55,000 Speaker 2: a ten to fifteen years journey, will be this complicated 128 00:05:55,040 --> 00:05:57,280 Speaker 2: blah blah blah. But it worked out for us. 129 00:05:57,400 --> 00:06:00,800 Speaker 1: So that's interesting. So I want to go back to 130 00:06:00,839 --> 00:06:02,440 Speaker 1: that that the three of you working on lots of 131 00:06:02,440 --> 00:06:07,040 Speaker 1: different things, and in terms of being able to select, well, 132 00:06:07,080 --> 00:06:12,320 Speaker 1: you actually partners, like in terms of life partners whatever 133 00:06:12,320 --> 00:06:15,960 Speaker 1: the world is. Before you started hacking into things or 134 00:06:16,000 --> 00:06:16,440 Speaker 1: did you. 135 00:06:16,960 --> 00:06:20,000 Speaker 2: We were not married, but yeah, we were already living together. 136 00:06:20,120 --> 00:06:22,000 Speaker 1: Yeah yeah, and then weekends come up and. 137 00:06:22,279 --> 00:06:24,120 Speaker 2: Weekends you say, what do we do this weekend? Okay, 138 00:06:24,200 --> 00:06:24,960 Speaker 2: let's build a thing. 139 00:06:25,200 --> 00:06:28,599 Speaker 1: So which one of you is the the driver of that? 140 00:06:28,720 --> 00:06:31,920 Speaker 2: Lways about the int is definitely always Matt and ninety 141 00:06:31,960 --> 00:06:35,080 Speaker 2: percent of the times I have the idea, but she's there. 142 00:06:35,360 --> 00:06:37,560 Speaker 2: She's the perfect partner to develop the idea. 143 00:06:37,720 --> 00:06:38,440 Speaker 1: So you catch she. 144 00:06:38,560 --> 00:06:41,640 Speaker 3: Shows yes, yes, and I'll be the Yeah. I was 145 00:06:41,640 --> 00:06:44,120 Speaker 3: the executor. So he'll say, okay, we needed a website. 146 00:06:44,200 --> 00:06:46,240 Speaker 3: I would do the website. I would design, I would 147 00:06:46,320 --> 00:06:48,120 Speaker 3: think about, you know, what was this product, how do 148 00:06:48,160 --> 00:06:49,960 Speaker 3: we position it, et cetera. And it was for fun. 149 00:06:50,000 --> 00:06:53,359 Speaker 3: It really was just fun, and especially because at the time, 150 00:06:53,839 --> 00:06:56,960 Speaker 3: this was thirteen years ago or fourteen years ago, and 151 00:06:57,080 --> 00:06:59,680 Speaker 3: we were in New York, and New York was going 152 00:06:59,680 --> 00:07:02,400 Speaker 3: through the sort of renaissance of what everyone just we're 153 00:07:02,960 --> 00:07:06,080 Speaker 3: labeling as the New York Alley, like the tech alleys 154 00:07:06,160 --> 00:07:07,960 Speaker 3: or there were Silicon Valley, and they were trying to 155 00:07:07,960 --> 00:07:09,880 Speaker 3: make New York tech a thing. And so there were 156 00:07:09,880 --> 00:07:11,880 Speaker 3: a lot of events. There were a lot of just 157 00:07:11,880 --> 00:07:15,200 Speaker 3: like topics in the media about technology being built in 158 00:07:15,200 --> 00:07:17,480 Speaker 3: New York where we were based. So we also started 159 00:07:17,520 --> 00:07:18,880 Speaker 3: going to a lot of these events, and we were 160 00:07:18,920 --> 00:07:21,440 Speaker 3: starting to get curious about Hey, like, we're not in 161 00:07:21,480 --> 00:07:23,880 Speaker 3: that space. That's not what we do for our jobs. 162 00:07:24,360 --> 00:07:26,800 Speaker 3: But this is very interesting and it's very appealing to 163 00:07:26,960 --> 00:07:29,560 Speaker 3: entrepreneurial people. So let's go and just see So that 164 00:07:29,760 --> 00:07:31,080 Speaker 3: a joke, we would go yes. 165 00:07:31,160 --> 00:07:35,040 Speaker 2: By job, we had another company the other Yeah, but 166 00:07:35,240 --> 00:07:38,040 Speaker 2: it was more traditional. I was in solar right, so 167 00:07:38,080 --> 00:07:40,160 Speaker 2: I was developing large utivity scales, so a lot of 168 00:07:40,200 --> 00:07:43,200 Speaker 2: plans and selling them to private technity fund So it's 169 00:07:43,200 --> 00:07:48,200 Speaker 2: still kind of close to finance with a bit of entrepreneurship, 170 00:07:48,240 --> 00:07:50,600 Speaker 2: but nothing connected to siliconbiny. 171 00:07:51,120 --> 00:07:53,920 Speaker 1: Ich episode was. And all the other little ventures that 172 00:07:53,960 --> 00:07:56,960 Speaker 1: you had before, I'd say were more like sawd hustles. 173 00:07:58,240 --> 00:08:00,400 Speaker 1: They were yeah, because you had something and alse to 174 00:08:00,680 --> 00:08:04,120 Speaker 1: pay the bills, because that's always very important. So in 175 00:08:04,200 --> 00:08:07,040 Speaker 1: terms of the community that you were hanging out in, 176 00:08:07,360 --> 00:08:08,960 Speaker 1: so the two of you would be at home and 177 00:08:09,080 --> 00:08:11,119 Speaker 1: you'd be challenging whatever this idea, what about that idea? 178 00:08:11,160 --> 00:08:13,960 Speaker 1: And probably half got thrown out and the US been 179 00:08:14,120 --> 00:08:16,680 Speaker 1: more than half, and we always end up with just 180 00:08:16,680 --> 00:08:20,080 Speaker 1: one good idea. Well, for those people who listening, how 181 00:08:20,600 --> 00:08:24,400 Speaker 1: how do you deal with the frustrations of not having 182 00:08:24,400 --> 00:08:29,600 Speaker 1: a solution that works? In other words, keep pivoting, throwing 183 00:08:29,640 --> 00:08:31,840 Speaker 1: ideas out, starting all over again. How long did that 184 00:08:31,880 --> 00:08:35,040 Speaker 1: go on for before we come up with sleep and 185 00:08:35,120 --> 00:08:37,240 Speaker 1: a half yea, And how do you deal with the frustration? 186 00:08:37,640 --> 00:08:40,200 Speaker 2: Like what for us it was the top I mean 187 00:08:40,240 --> 00:08:43,240 Speaker 2: of building the thing during a weekend. So there were 188 00:08:43,400 --> 00:08:46,720 Speaker 2: very short term programs. And then with three D printing, 189 00:08:46,760 --> 00:08:50,320 Speaker 2: we started three D printing some of these jewelies. But 190 00:08:50,360 --> 00:08:53,800 Speaker 2: then there were some challenges on the engineering side, and 191 00:08:53,840 --> 00:08:56,480 Speaker 2: that is when we started involving Max, so we needed 192 00:08:56,559 --> 00:09:01,960 Speaker 2: more software. But this was just again a side project 193 00:09:02,040 --> 00:09:05,600 Speaker 2: until a sleep clicked, right when I really started thinking 194 00:09:05,600 --> 00:09:07,840 Speaker 2: about sleep while on mask is taking me to Mars 195 00:09:07,920 --> 00:09:09,680 Speaker 2: and I still spend a third of my life on 196 00:09:09,720 --> 00:09:12,240 Speaker 2: a piece of dumb foam while there is no technology. 197 00:09:12,800 --> 00:09:14,920 Speaker 2: And so what we did at that point, because it 198 00:09:15,000 --> 00:09:17,680 Speaker 2: was still a side project, also a sleep And so 199 00:09:17,800 --> 00:09:21,120 Speaker 2: Max built the first prototype in his garage in a 200 00:09:21,160 --> 00:09:24,200 Speaker 2: couple of days, and then we had the pajama party 201 00:09:24,520 --> 00:09:27,960 Speaker 2: in San Francisco. We invited friends and they tried the product, right, 202 00:09:27,960 --> 00:09:31,880 Speaker 2: they simulated to going to sleep, and before the end 203 00:09:31,960 --> 00:09:33,600 Speaker 2: of the night, a friend comes to me and he 204 00:09:33,640 --> 00:09:35,600 Speaker 2: gives me a twenty five K check and says, can 205 00:09:35,640 --> 00:09:38,400 Speaker 2: I be the first investor in this venture? And said, 206 00:09:38,400 --> 00:09:40,400 Speaker 2: but look, man, we don't even have an LLC, we 207 00:09:40,440 --> 00:09:42,240 Speaker 2: don't even have a company. There's no bank account. 208 00:09:42,320 --> 00:09:46,160 Speaker 1: Also being the limited part, Yeah yeah. 209 00:09:45,760 --> 00:09:48,360 Speaker 2: Yeah, So we didn't incorporate a company. We didn't have 210 00:09:48,360 --> 00:09:52,040 Speaker 2: a bank account. It was just our usual side project idea, 211 00:09:52,320 --> 00:09:55,559 Speaker 2: just an idea and for fun and for fun, yes, but. 212 00:09:55,600 --> 00:09:58,840 Speaker 1: More curiosity or fun curiosity. 213 00:09:59,000 --> 00:10:02,040 Speaker 2: Yes. I like to be things. I like to explore. 214 00:10:02,120 --> 00:10:05,720 Speaker 2: I love to see how customers respond. And this was 215 00:10:05,720 --> 00:10:08,040 Speaker 2: a perfect timing for me because I just sold, or 216 00:10:08,040 --> 00:10:11,400 Speaker 2: I was selling at the time, my previous company. So 217 00:10:11,640 --> 00:10:17,080 Speaker 2: I was becoming free. And so I spoke with Max 218 00:10:17,960 --> 00:10:21,560 Speaker 2: and we say, should we try the thing? And we say, yeah, okay, 219 00:10:21,640 --> 00:10:24,360 Speaker 2: so let's open the bank account and incorporate. And we 220 00:10:24,440 --> 00:10:26,959 Speaker 2: did it the following day and we cash in the 221 00:10:27,080 --> 00:10:29,120 Speaker 2: check and that is history. 222 00:10:29,160 --> 00:10:31,760 Speaker 1: But was it because you couldn't sleep? I mean, did 223 00:10:31,800 --> 00:10:34,439 Speaker 1: you have a sleep problem? Or is it or did 224 00:10:34,440 --> 00:10:38,000 Speaker 1: you just understand this is a rising tide of the 225 00:10:38,000 --> 00:10:39,640 Speaker 1: whole longevity story. I mean. 226 00:10:41,400 --> 00:10:45,560 Speaker 2: Exactly, it was not a hot topic yet. So when 227 00:10:45,600 --> 00:10:47,400 Speaker 2: I was a teenager, I used to be an athlete, 228 00:10:47,480 --> 00:10:50,079 Speaker 2: and so I have always been in performance and recovery. 229 00:10:50,480 --> 00:10:52,840 Speaker 2: And then I started working. I was working really hard. 230 00:10:53,040 --> 00:10:55,839 Speaker 2: I'm obsessed with efficiency, and so I started wondering, why 231 00:10:55,840 --> 00:10:58,040 Speaker 2: do I have to sleep eight hours? Can I compress 232 00:10:58,080 --> 00:11:00,320 Speaker 2: my sleep? And even if I sleep poly sic hours, 233 00:11:00,320 --> 00:11:01,880 Speaker 2: there's still a lot of time. What else can I 234 00:11:02,040 --> 00:11:04,160 Speaker 2: get out of that? And so that is when I 235 00:11:04,160 --> 00:11:08,520 Speaker 2: started becoming really obsessed about the topic for efficiency purposes 236 00:11:08,559 --> 00:11:11,680 Speaker 2: and my daily performance. And at that point, with Max 237 00:11:11,720 --> 00:11:14,360 Speaker 2: and Alexander, we started thinking, Okay, what technology can enhance 238 00:11:14,400 --> 00:11:17,480 Speaker 2: my sleep? And the first product was just tracking your 239 00:11:17,480 --> 00:11:20,280 Speaker 2: sleep and that was what we launched at the beginning, 240 00:11:20,320 --> 00:11:22,440 Speaker 2: and we saw the eight thousand units in pre orders. 241 00:11:22,600 --> 00:11:25,800 Speaker 1: But I mean the Metris itself or tracking through. 242 00:11:25,679 --> 00:11:28,840 Speaker 2: It was a cover that you could install onto any mattress, 243 00:11:29,080 --> 00:11:31,160 Speaker 2: but it was only tracking your sleep. It was not 244 00:11:31,520 --> 00:11:35,280 Speaker 2: improving your sleep actively through heating and cooling, measuring water. 245 00:11:35,760 --> 00:11:39,760 Speaker 2: We were measuring sleep stages at times, leapt heart rate, 246 00:11:40,040 --> 00:11:44,040 Speaker 2: and respiration and this kind of metrics right, so very 247 00:11:44,080 --> 00:11:46,920 Speaker 2: similar to available. But the interesting thing is I was 248 00:11:46,960 --> 00:11:48,640 Speaker 2: going to customers and said, oh, do you want to 249 00:11:48,640 --> 00:11:51,360 Speaker 2: try this, and they say, yeah, okay, this is interesting, 250 00:11:51,600 --> 00:11:54,040 Speaker 2: but do you have anything that heats or cools? Like 251 00:11:54,240 --> 00:11:57,920 Speaker 2: literally ninety nine percent of the people was talking to Oh, 252 00:11:57,960 --> 00:11:59,719 Speaker 2: this is cool, but do you have anything that heats 253 00:11:59,760 --> 00:12:02,920 Speaker 2: of And so I started looking into clinical studies and 254 00:12:02,960 --> 00:12:05,600 Speaker 2: I started noticing there was a lot of literature proving 255 00:12:05,679 --> 00:12:07,640 Speaker 2: that the best way to improve your sleep is by 256 00:12:07,679 --> 00:12:10,800 Speaker 2: changing your body temperature at night. And so we sold 257 00:12:10,840 --> 00:12:13,120 Speaker 2: these eight thousand units. We had to build them, and 258 00:12:13,160 --> 00:12:14,600 Speaker 2: I had to move to China, and. 259 00:12:15,240 --> 00:12:15,959 Speaker 1: We moved to China. 260 00:12:16,040 --> 00:12:18,520 Speaker 2: Yeah, so there is actually the story that you were like, So, 261 00:12:19,520 --> 00:12:22,640 Speaker 2: manufacturing is not happening, right, thanks are very slow. We 262 00:12:22,720 --> 00:12:25,079 Speaker 2: have a bunch of issues. And so I go to Alexandra, 263 00:12:25,840 --> 00:12:28,480 Speaker 2: by then we were married, and I say, look, manufacturing 264 00:12:28,559 --> 00:12:31,199 Speaker 2: is not happening. And she says, okay, So what I say, 265 00:12:31,320 --> 00:12:33,680 Speaker 2: I'm going to China to fix it. And she says 266 00:12:33,720 --> 00:12:36,040 Speaker 2: when do you go? And say, I fly out tomorrow, 267 00:12:36,520 --> 00:12:38,440 Speaker 2: and she said when do you come back once I 268 00:12:38,480 --> 00:12:40,679 Speaker 2: fix it? I came back three months later. 269 00:12:41,440 --> 00:12:42,079 Speaker 1: How do you handle that? 270 00:12:42,720 --> 00:12:44,199 Speaker 3: I mean, how do you do when you're married this 271 00:12:44,320 --> 00:12:46,440 Speaker 3: start company? Right? It's like I think that's one of 272 00:12:46,480 --> 00:12:49,160 Speaker 3: the advantages that we have found of doing this together 273 00:12:49,240 --> 00:12:52,720 Speaker 3: for ten years is that we understand exactly when he 274 00:12:52,800 --> 00:12:55,080 Speaker 3: has to do what I have to do, long nights, 275 00:12:55,240 --> 00:12:56,640 Speaker 3: trips to China for three months. 276 00:12:56,640 --> 00:13:01,640 Speaker 1: It is what it is so in jesical founding apart 277 00:13:01,640 --> 00:13:03,760 Speaker 1: from Max, but in terms of co funding between YouTube 278 00:13:04,360 --> 00:13:09,040 Speaker 1: Tolerance is a big factor. Being able to tolerate absence 279 00:13:09,040 --> 00:13:13,400 Speaker 1: from each other, being able to tolerate frustration between each other. 280 00:13:13,840 --> 00:13:16,079 Speaker 1: And I guess sometimes you would have had periods where 281 00:13:17,280 --> 00:13:19,800 Speaker 1: he thought, what the fuck, like, you know, where are 282 00:13:19,840 --> 00:13:22,199 Speaker 1: we going with this? You know, is this going to 283 00:13:22,400 --> 00:13:25,480 Speaker 1: be something for us? Is this a thing? How do 284 00:13:25,520 --> 00:13:27,240 Speaker 1: you deal with that? I mean, I don't know how 285 00:13:27,240 --> 00:13:28,360 Speaker 1: you deal with that? Do you sort of sit down 286 00:13:28,360 --> 00:13:31,640 Speaker 1: and talk it through, like is there a process? Is 287 00:13:31,640 --> 00:13:34,000 Speaker 1: someone there the one prepared to be the most vulnerable, 288 00:13:34,080 --> 00:13:36,360 Speaker 1: or is someone in charge? How does that all work? 289 00:13:36,520 --> 00:13:38,680 Speaker 3: I think, what it's interesting And this is true also 290 00:13:38,679 --> 00:13:40,760 Speaker 3: in our relationship with Max, right, I think that the 291 00:13:40,800 --> 00:13:43,560 Speaker 3: core of our relationship as co founders is there's like 292 00:13:43,559 --> 00:13:46,640 Speaker 3: a real friendship and respect for each other. And I 293 00:13:46,640 --> 00:13:49,440 Speaker 3: think even if we were not founding this company together, 294 00:13:49,520 --> 00:13:51,920 Speaker 3: we would be friends, right. And so when you have 295 00:13:52,000 --> 00:13:55,880 Speaker 3: that relationship, then on the business side, there's always someone 296 00:13:56,080 --> 00:13:59,280 Speaker 3: who was probably going through a tougher moment. And so 297 00:13:59,600 --> 00:14:01,240 Speaker 3: what I have I've noticed in the last ten years 298 00:14:01,280 --> 00:14:03,000 Speaker 3: is that then the other person is there to sort 299 00:14:03,040 --> 00:14:06,080 Speaker 3: of catch you. And so when someone's maybe kind of 300 00:14:06,080 --> 00:14:08,320 Speaker 3: feeling like, hey, is it time to give up is 301 00:14:08,360 --> 00:14:11,040 Speaker 3: this thing working or having doubts the other person's there 302 00:14:11,080 --> 00:14:13,160 Speaker 3: to be like, no, no, no, remember what we're here for. 303 00:14:13,360 --> 00:14:15,200 Speaker 3: Remember you know, keep your eyes on the price. Let's 304 00:14:15,280 --> 00:14:17,880 Speaker 3: keep going. And I think if you find that dynamic, 305 00:14:18,160 --> 00:14:20,800 Speaker 3: it's super helpful because if everyone's down at the same 306 00:14:20,880 --> 00:14:22,960 Speaker 3: time and no one is there to challenge each other 307 00:14:22,960 --> 00:14:25,080 Speaker 3: and push, then you'll give up. Which is the reason 308 00:14:25,080 --> 00:14:28,440 Speaker 3: why most startups fail is founders give up. And so 309 00:14:28,480 --> 00:14:30,120 Speaker 3: I think for us, that's where it has worked, is 310 00:14:30,160 --> 00:14:32,800 Speaker 3: we're there to say, hey, I know what you're feeling, 311 00:14:32,920 --> 00:14:35,920 Speaker 3: but let's think about this in a different way. Let's 312 00:14:35,960 --> 00:14:37,680 Speaker 3: keep the eye on the price. Let's keep going, look 313 00:14:37,680 --> 00:14:40,520 Speaker 3: at the positives, because even in the last ten years, 314 00:14:40,600 --> 00:14:42,440 Speaker 3: even once you find the idea that you want to 315 00:14:42,440 --> 00:14:44,560 Speaker 3: work on, there's so many ups and downs and so 316 00:14:44,560 --> 00:14:46,760 Speaker 3: many moments of doubt, and so many moments when someone 317 00:14:46,880 --> 00:14:48,880 Speaker 3: is just feeling like, hey, this is it for me 318 00:14:49,040 --> 00:14:50,200 Speaker 3: or this is it for the company. 319 00:14:50,880 --> 00:14:57,840 Speaker 1: And I guess your Mattia was saying though that his research, 320 00:14:57,880 --> 00:15:01,240 Speaker 1: which he probably just tumbled upon or even fumbled upon, 321 00:15:02,080 --> 00:15:05,240 Speaker 1: heat and cooling, which is sort of the basis of 322 00:15:05,280 --> 00:15:08,440 Speaker 1: your product, sort of the basic product I'm not. I 323 00:15:08,480 --> 00:15:13,080 Speaker 1: don't want to undersell it. When he came in to 324 00:15:13,360 --> 00:15:17,360 Speaker 1: talk to the other two of you, how do you 325 00:15:17,960 --> 00:15:20,760 Speaker 1: accept that or challenge that? Do you sort of say, well, 326 00:15:20,760 --> 00:15:25,640 Speaker 1: that sounds like bullshit? Or is that a surveyor two 327 00:15:25,800 --> 00:15:28,680 Speaker 1: or ten? How do you how do you challenge that? 328 00:15:28,760 --> 00:15:32,120 Speaker 1: What do you say? He's obviously convinced, has conviction around it, 329 00:15:32,160 --> 00:15:35,479 Speaker 1: believes it, because I could just tell by the enthusiasm 330 00:15:35,480 --> 00:15:38,080 Speaker 1: he just gave to me. Is there someone who challenges 331 00:15:38,080 --> 00:15:40,080 Speaker 1: Do you play different roles? Just want to say, oh, 332 00:15:40,080 --> 00:15:42,320 Speaker 1: come on, let's do let's just fix this up. Or 333 00:15:42,320 --> 00:15:43,840 Speaker 1: do you go to say, let's go to the market 334 00:15:43,840 --> 00:15:45,480 Speaker 1: and test a thousand people? What do you do? 335 00:15:45,600 --> 00:15:47,440 Speaker 3: Yeah, I know we definitely challenge it. And I think 336 00:15:47,480 --> 00:15:49,760 Speaker 3: it's evolved in the last ten years because at the beginning, 337 00:15:49,760 --> 00:15:52,480 Speaker 3: you're three people in a room and you make these decisions. 338 00:15:52,520 --> 00:15:55,160 Speaker 3: Now you're an organization with different executives that think about 339 00:15:55,160 --> 00:15:57,600 Speaker 3: different perspectives. So the way we do it now is 340 00:15:57,680 --> 00:15:59,800 Speaker 3: very different. There was research, and it happens all the 341 00:15:59,840 --> 00:16:01,520 Speaker 3: time until it comes up with ideas all the time. 342 00:16:01,600 --> 00:16:04,600 Speaker 3: Our most recent product has an ability to control it 343 00:16:04,600 --> 00:16:06,200 Speaker 3: without the phone. You tap on the side of it, 344 00:16:06,240 --> 00:16:08,960 Speaker 3: and you're basically giving it commands and through haptic feedback, 345 00:16:08,960 --> 00:16:10,480 Speaker 3: you understand if it took the commands, so it can 346 00:16:10,720 --> 00:16:14,680 Speaker 3: mention the temperature all just on the cover, So basically 347 00:16:14,720 --> 00:16:16,800 Speaker 3: on your side of your bed, you just tap and 348 00:16:16,840 --> 00:16:18,720 Speaker 3: it cools down, it warms up. You never have to 349 00:16:18,760 --> 00:16:20,560 Speaker 3: take out your phone. And he came up with this idea, 350 00:16:20,640 --> 00:16:23,600 Speaker 3: and initially, in all honesty, I was like, this is crazy, 351 00:16:23,720 --> 00:16:26,000 Speaker 3: Like this sounds just ridiculous. And I tell him all 352 00:16:26,040 --> 00:16:28,320 Speaker 3: the time every night when we use this control which we. 353 00:16:28,360 --> 00:16:32,520 Speaker 2: Can make people are liking it. 354 00:16:33,000 --> 00:16:35,440 Speaker 3: Yeah, And you know, so there's always that side where 355 00:16:35,440 --> 00:16:37,440 Speaker 3: someone needs to be a bit of a skeptic and 356 00:16:37,800 --> 00:16:39,680 Speaker 3: where your hat of the role that you have in 357 00:16:39,680 --> 00:16:42,400 Speaker 3: the organization. In my case, even ten years later, I 358 00:16:42,400 --> 00:16:45,880 Speaker 3: still oversee driving revenue, positioning the company selling the product. 359 00:16:45,920 --> 00:16:48,440 Speaker 3: So I have to think about that and so I think, Okay, 360 00:16:48,640 --> 00:16:50,360 Speaker 3: does it make sense for us to develop it, does 361 00:16:50,360 --> 00:16:52,480 Speaker 3: it make sense for us to spend this money? How 362 00:16:52,560 --> 00:16:54,200 Speaker 3: is this going to be messaged? How are people going 363 00:16:54,240 --> 00:16:56,600 Speaker 3: to perceive it? And so I challenge his idea from 364 00:16:56,760 --> 00:16:59,680 Speaker 3: that side, and then you know, we have those conversations 365 00:16:59,680 --> 00:17:02,040 Speaker 3: and then we feel like, Okay, this fits, let's go ahead. 366 00:17:02,160 --> 00:17:04,679 Speaker 1: I had it. But Alexander, how do you do that 367 00:17:04,760 --> 00:17:07,119 Speaker 1: in the beginning, for example, without sort of looking like 368 00:17:07,200 --> 00:17:10,520 Speaker 1: you don't believe in him? Yeah, so come on, you 369 00:17:10,520 --> 00:17:13,080 Speaker 1: don't believe in me? Why you challenge me? Like, how 370 00:17:13,119 --> 00:17:15,719 Speaker 1: do you sort of tyitrate that? To make sure it's 371 00:17:16,000 --> 00:17:19,919 Speaker 1: on one hand you're supporting the idea, but on the 372 00:17:19,920 --> 00:17:22,639 Speaker 1: other hand you are giving it the appropriate amount of 373 00:17:22,680 --> 00:17:26,120 Speaker 1: cynicism and skepticism that it needs to have to be tested. 374 00:17:26,440 --> 00:17:28,560 Speaker 3: I think you have to entertain the ideas. I do 375 00:17:28,640 --> 00:17:30,480 Speaker 3: think that a lot of times. This is something where 376 00:17:30,480 --> 00:17:32,760 Speaker 3: we balance each other really well, because Mateau comes up 377 00:17:32,760 --> 00:17:34,600 Speaker 3: with like the craziest ideas and I'm more of like 378 00:17:34,640 --> 00:17:37,640 Speaker 3: a realist, and so it's good, right, It's a good balance. 379 00:17:37,720 --> 00:17:40,560 Speaker 3: But I always entertain his ideas, no matter how crazy 380 00:17:40,560 --> 00:17:42,640 Speaker 3: they sound. I'll be like, Okay, let me think about 381 00:17:42,680 --> 00:17:44,320 Speaker 3: that a little bit more. And at the beginning, what 382 00:17:44,359 --> 00:17:46,600 Speaker 3: we used to do, and he mentioned it, is we 383 00:17:46,600 --> 00:17:48,840 Speaker 3: were talking to a lot of people. We had this 384 00:17:49,200 --> 00:17:51,040 Speaker 3: when we started the company. We decided, you know, we 385 00:17:51,080 --> 00:17:52,880 Speaker 3: got this twenty five thousand dollars check. We're like, let's 386 00:17:52,880 --> 00:17:54,760 Speaker 3: make this a thing. We moved Mato and I from 387 00:17:54,800 --> 00:17:56,800 Speaker 3: New York to San Francisco, and we got this apartment 388 00:17:57,000 --> 00:17:59,800 Speaker 3: in San Francisco and that was our office. That's also 389 00:17:59,800 --> 00:18:01,399 Speaker 3: where we were living. And they were like, okay, like 390 00:18:01,440 --> 00:18:03,760 Speaker 3: we're going to make this thing very Silicon Valley story. 391 00:18:04,119 --> 00:18:06,480 Speaker 3: And we used to invite anyone that we knew to 392 00:18:06,600 --> 00:18:09,080 Speaker 3: come into this office and try this prototype that Max 393 00:18:09,119 --> 00:18:11,359 Speaker 3: had put together and talk to us about their sleep, 394 00:18:11,840 --> 00:18:14,760 Speaker 3: just anybody ran, anybody we knew, like any friends of friends, 395 00:18:14,800 --> 00:18:17,119 Speaker 3: you know. It was just like anyone that we knew 396 00:18:17,280 --> 00:18:20,200 Speaker 3: in the city, and we would bring them in and 397 00:18:20,359 --> 00:18:22,040 Speaker 3: we would sit in this bedroom. We would have them 398 00:18:22,080 --> 00:18:24,400 Speaker 3: try it, but we would also ask them questions about. 399 00:18:24,160 --> 00:18:25,399 Speaker 1: Their sleep, and you're recording it. 400 00:18:25,680 --> 00:18:28,520 Speaker 3: No, we're just sitting there just you know, you start 401 00:18:28,560 --> 00:18:32,040 Speaker 3: absorbing the information and maybe every day we would meet 402 00:18:32,119 --> 00:18:34,040 Speaker 3: three to five different people, and you know, at the 403 00:18:34,119 --> 00:18:35,480 Speaker 3: end of the day, I mean, you know, at the beginning, 404 00:18:35,480 --> 00:18:37,560 Speaker 3: you're spending so many hours together as co founders. So 405 00:18:37,600 --> 00:18:39,480 Speaker 3: we would have dinner together and we'd just talk through 406 00:18:39,600 --> 00:18:42,359 Speaker 3: what we learned. What are patterns, And that's how you 407 00:18:42,400 --> 00:18:45,800 Speaker 3: start finding the problems people have and you start matching 408 00:18:45,800 --> 00:18:49,280 Speaker 3: your ideas returned the solutions to the problems, and so 409 00:18:49,320 --> 00:18:51,919 Speaker 3: I do think that that's the very basic playbook, whereas 410 00:18:52,000 --> 00:18:54,000 Speaker 3: you can entertain the idea just as the group of 411 00:18:54,000 --> 00:18:56,120 Speaker 3: people that are building it, but you need to understand 412 00:18:56,119 --> 00:18:57,960 Speaker 3: if there's someone out there in the world who has 413 00:18:58,000 --> 00:19:01,960 Speaker 3: a problem and they're willing to hey for solving that problem, 414 00:19:02,040 --> 00:19:03,879 Speaker 3: and your product is going to be that solution. 415 00:19:04,240 --> 00:19:09,000 Speaker 1: So what is the problem that you solved? Because is 416 00:19:09,000 --> 00:19:10,920 Speaker 1: it to get eight hours sleep? Is it to get 417 00:19:10,920 --> 00:19:13,840 Speaker 1: did you sort of work out an optimum? Is it 418 00:19:14,160 --> 00:19:16,440 Speaker 1: some people say seven? I hear humans say seven. I 419 00:19:16,560 --> 00:19:22,639 Speaker 1: him you know a tsa between seven and eight, you 420 00:19:22,680 --> 00:19:26,639 Speaker 1: know oversleep as well, and six or five which you 421 00:19:26,680 --> 00:19:28,600 Speaker 1: were talking about earlier, probably is underdoing it. 422 00:19:29,760 --> 00:19:29,920 Speaker 3: You know. 423 00:19:29,920 --> 00:19:31,520 Speaker 1: It's funny when I was when I was working in 424 00:19:31,520 --> 00:19:34,840 Speaker 1: a law firm in Australia as a long time ago, 425 00:19:34,880 --> 00:19:39,600 Speaker 1: but those days, you were considered uncool. If you slept 426 00:19:39,800 --> 00:19:42,920 Speaker 1: a lot, it was you were considered And we had 427 00:19:42,920 --> 00:19:45,400 Speaker 1: clients like this, very well known ones in Australia who 428 00:19:45,400 --> 00:19:48,679 Speaker 1: would say, big business guys would say that they do 429 00:19:48,720 --> 00:19:50,760 Speaker 1: four hours sleep at night. And I was so impressed 430 00:19:50,760 --> 00:19:52,600 Speaker 1: with that. I think, what the hell how did I 431 00:19:52,680 --> 00:19:55,040 Speaker 1: do that? And I started sort of training my body 432 00:19:55,080 --> 00:19:58,080 Speaker 1: to do the same sort of stuff, even doing stupid 433 00:19:58,160 --> 00:20:00,439 Speaker 1: things like sleeping on the floor of my office. 434 00:20:01,680 --> 00:20:03,359 Speaker 2: We all went through that. Yeah, I went through it. 435 00:20:03,320 --> 00:20:03,960 Speaker 1: It's like a thing. 436 00:20:04,119 --> 00:20:07,719 Speaker 2: Yeah, yeah, like sometimes my second day of work, I 437 00:20:07,760 --> 00:20:10,080 Speaker 2: didn't go to sleep. There was a deal that we 438 00:20:10,080 --> 00:20:14,200 Speaker 2: were closing, and so I went to the office at 439 00:20:14,280 --> 00:20:17,119 Speaker 2: nine am and I left at seven pm of the 440 00:20:17,160 --> 00:20:20,480 Speaker 2: following day. But my boss gave me thirty five minutes 441 00:20:20,520 --> 00:20:23,760 Speaker 2: to go home and shower, and they say, can can 442 00:20:23,800 --> 00:20:25,800 Speaker 2: I get a bit more time? And he said no, 443 00:20:25,880 --> 00:20:27,840 Speaker 2: because otherwise you will fall asleep. So I want you 444 00:20:27,920 --> 00:20:29,040 Speaker 2: back here in thirty minutes. 445 00:20:29,480 --> 00:20:31,719 Speaker 1: Yeah, And that was the thing. It was like your 446 00:20:31,800 --> 00:20:34,439 Speaker 1: tough guy because you know, like he hasn't slept and 447 00:20:34,800 --> 00:20:37,359 Speaker 1: he or you know, because I was a partner with 448 00:20:37,400 --> 00:20:39,159 Speaker 1: him and I used to sleep on the floor just 449 00:20:39,200 --> 00:20:41,520 Speaker 1: to prove to all the young guys that I was 450 00:20:41,520 --> 00:20:43,840 Speaker 1: better than them, you know, like a and now we 451 00:20:43,960 --> 00:20:47,240 Speaker 1: it's a big, a complete reverse, you know. So what 452 00:20:47,440 --> 00:20:49,320 Speaker 1: is the problem you're trying to solve. You're trying to 453 00:20:49,359 --> 00:20:53,520 Speaker 1: get us, help us sleep seven hours? You what is 454 00:20:53,520 --> 00:20:55,440 Speaker 1: it you're actually trying to get us to do with 455 00:20:55,760 --> 00:20:56,600 Speaker 1: eight sleep. 456 00:20:57,359 --> 00:20:59,399 Speaker 2: Well, let's start from what we do, and then we 457 00:20:59,480 --> 00:21:01,680 Speaker 2: try to do and then I'll go back to your point. 458 00:21:01,720 --> 00:21:03,440 Speaker 2: What we do is we give you up to thirty 459 00:21:03,480 --> 00:21:06,000 Speaker 2: percent better sleep. So I think there is no human 460 00:21:06,040 --> 00:21:08,400 Speaker 2: being on earth who doesn't want thirty percent better. 461 00:21:08,200 --> 00:21:12,280 Speaker 1: Sleep, better meaning better quality, better quality, deeper sleep. Is 462 00:21:12,720 --> 00:21:13,879 Speaker 1: what do you mean by that? 463 00:21:13,920 --> 00:21:16,199 Speaker 2: Then, well, it's a couple of different things, right, There 464 00:21:16,200 --> 00:21:18,639 Speaker 2: are different sleep stages. So we give you more deep sleep, 465 00:21:18,720 --> 00:21:21,159 Speaker 2: we give you more rem we give you less interruptions, 466 00:21:21,240 --> 00:21:24,639 Speaker 2: and you fall asleep faster. Everything is different based on 467 00:21:24,680 --> 00:21:27,239 Speaker 2: different human beings. That is why I say up to 468 00:21:27,280 --> 00:21:30,159 Speaker 2: thirty percent. We have seen people getting thirty percent, we 469 00:21:30,200 --> 00:21:33,359 Speaker 2: see other people getting twelve percent. We see some people 470 00:21:33,400 --> 00:21:35,640 Speaker 2: getting more deep, other they get more ram So it's 471 00:21:35,720 --> 00:21:40,600 Speaker 2: very personal. But overall I would say that almost ninety 472 00:21:40,720 --> 00:21:43,480 Speaker 2: ninety five percent of our customers they get better sleep 473 00:21:43,520 --> 00:21:46,400 Speaker 2: to different degrees, and that is what we do today. 474 00:21:47,000 --> 00:21:50,879 Speaker 2: Then I think what happened in history is if you 475 00:21:51,000 --> 00:21:53,680 Speaker 2: remove the pod, which is our technology, we substantially keep 476 00:21:53,680 --> 00:21:56,040 Speaker 2: sleeping in the same way that we were sleeping two 477 00:21:56,080 --> 00:21:58,520 Speaker 2: thousand years ago, but instead of sleeping on a piece 478 00:21:58,560 --> 00:22:01,199 Speaker 2: of rock. We sleep on a piece of phone, and 479 00:22:01,240 --> 00:22:05,280 Speaker 2: so our sleep is very inefficient. But society and your 480 00:22:05,280 --> 00:22:07,600 Speaker 2: life is way more complicated because now you have a 481 00:22:07,600 --> 00:22:09,639 Speaker 2: lot of stress at work, you have your phone, No, 482 00:22:09,760 --> 00:22:12,800 Speaker 2: you're they're very active, and then you pretend to go 483 00:22:12,880 --> 00:22:15,919 Speaker 2: to bed, fall asleep and wake have fully refreshed. That 484 00:22:15,960 --> 00:22:19,600 Speaker 2: doesn't really work, and so what they sleep. We are 485 00:22:19,600 --> 00:22:21,640 Speaker 2: trying to do is to make you sleep more efficient. 486 00:22:21,760 --> 00:22:24,000 Speaker 2: We call it sleep fitness, and so we will help 487 00:22:24,040 --> 00:22:27,000 Speaker 2: you to fall asleep faster, get the higher quality of sleep. 488 00:22:27,240 --> 00:22:30,320 Speaker 2: And by giving you giving you more quality, you will 489 00:22:30,359 --> 00:22:32,600 Speaker 2: be able to sleep less and get the same amount 490 00:22:32,600 --> 00:22:36,280 Speaker 2: of rest. Right what changes when you and I we 491 00:22:36,280 --> 00:22:37,800 Speaker 2: were in a law firm or not, there was this 492 00:22:37,920 --> 00:22:40,000 Speaker 2: concept of okay, you're a tough guy, you don't need 493 00:22:40,040 --> 00:22:43,520 Speaker 2: to sleep. You can keep going. The point is nowadays 494 00:22:44,200 --> 00:22:47,199 Speaker 2: sleep deprivation is then you smoking. And so if I 495 00:22:47,240 --> 00:22:49,879 Speaker 2: go to my team or many people in the in 496 00:22:49,960 --> 00:22:53,080 Speaker 2: the young generations, you just tell them that you work only, 497 00:22:53,320 --> 00:22:55,960 Speaker 2: that you sleep only four hours per night, it looks 498 00:22:56,040 --> 00:22:58,800 Speaker 2: like you're not taking care of yourself. It literally looks 499 00:22:58,840 --> 00:23:01,240 Speaker 2: like you're smoking. You are drinking a lot, and you 500 00:23:01,280 --> 00:23:03,919 Speaker 2: don't even sleep. You're really terrible at taking care of 501 00:23:03,960 --> 00:23:06,920 Speaker 2: your longevity and your own life. And so all this 502 00:23:07,119 --> 00:23:09,480 Speaker 2: movement is playing in our favor, and that is why 503 00:23:09,520 --> 00:23:12,360 Speaker 2: there are so many people globally. They buy our product everywhere. 504 00:23:12,520 --> 00:23:14,800 Speaker 1: Yeah, I was doing your website. It is amazing the 505 00:23:14,880 --> 00:23:16,840 Speaker 1: number of countries or a number of regions you are 506 00:23:16,960 --> 00:23:19,240 Speaker 1: in around the world. It looks like you've had sort 507 00:23:19,240 --> 00:23:23,280 Speaker 1: of exponential growth over the last few years. We'll talk 508 00:23:23,320 --> 00:23:24,800 Speaker 1: about that in the moment. I want to go to 509 00:23:24,800 --> 00:23:26,040 Speaker 1: the break. I want to come back from the break. 510 00:23:26,280 --> 00:23:30,919 Speaker 1: Let's talk about the product itself, yep, and the current 511 00:23:31,080 --> 00:23:34,080 Speaker 1: iterations of the product and how many iterations you have had. 512 00:23:34,560 --> 00:23:37,560 Speaker 1: And I want to know, are you a technology business 513 00:23:38,160 --> 00:23:40,800 Speaker 1: or are you a sleep business? And so we go 514 00:23:40,840 --> 00:23:49,520 Speaker 1: to the break, comes straight back. I'm back from the break, 515 00:23:49,520 --> 00:23:53,000 Speaker 1: and I'm here with Alexander and Mateo, and they are 516 00:23:53,040 --> 00:23:55,840 Speaker 1: the co founders, along with Max, who's not here. He's 517 00:23:56,080 --> 00:23:59,640 Speaker 1: probably working on the technology somewhere. And were still San Francisco. 518 00:23:59,640 --> 00:24:00,159 Speaker 1: Where are now? 519 00:24:00,280 --> 00:24:00,680 Speaker 2: New York? 520 00:24:00,720 --> 00:24:04,159 Speaker 1: New York. He's so, You're not not in the valley anymore, 521 00:24:04,280 --> 00:24:05,280 Speaker 1: not in skin anymore. 522 00:24:05,280 --> 00:24:07,600 Speaker 2: Now we're laughed. After a year and a half, so 523 00:24:07,840 --> 00:24:09,520 Speaker 2: we were in San Francisco for a year and a 524 00:24:09,520 --> 00:24:10,760 Speaker 2: half and then back to New York. 525 00:24:10,920 --> 00:24:14,919 Speaker 1: And and I want to know something well first and 526 00:24:15,320 --> 00:24:18,080 Speaker 1: first and almost I want to know about the product itself, 527 00:24:18,119 --> 00:24:22,640 Speaker 1: the actual physical product. How does it work. I mean, 528 00:24:22,680 --> 00:24:25,360 Speaker 1: obviously not going to hear by secrets, but I've got one. 529 00:24:26,160 --> 00:24:29,560 Speaker 1: And and I've got some pitches that I'm going to 530 00:24:29,560 --> 00:24:32,600 Speaker 1: put up on our pages showing me putting it together 531 00:24:32,760 --> 00:24:35,679 Speaker 1: and onto the bed and all that sort of stuff, 532 00:24:35,960 --> 00:24:38,280 Speaker 1: and put it on one of those. I've got it 533 00:24:38,280 --> 00:24:40,600 Speaker 1: on my mattress. And by the way, my mattress brand new. 534 00:24:41,160 --> 00:24:43,120 Speaker 1: And I'll give a shout out to the Coolo Boys, 535 00:24:43,119 --> 00:24:44,800 Speaker 1: the Colo Boys. I've got one of their mattresses. They 536 00:24:44,800 --> 00:24:46,920 Speaker 1: are a next podcast guest, so I have to buy 537 00:24:46,960 --> 00:24:51,080 Speaker 1: their buy their products. And and and I've been listening 538 00:24:51,119 --> 00:24:53,119 Speaker 1: to Peter at and I've been listening to Andrew Whoman. 539 00:24:53,160 --> 00:24:56,360 Speaker 1: Everybody's raving about your products. So I'm really excited about it. 540 00:24:56,480 --> 00:25:00,119 Speaker 1: I'm the world's shittiest sleeper at my age. I'm six out. 541 00:25:00,119 --> 00:25:02,120 Speaker 1: It should be sleeping better by now, but i still 542 00:25:02,160 --> 00:25:04,200 Speaker 1: wake up once or twice a night. So I'm really 543 00:25:04,200 --> 00:25:06,879 Speaker 1: looking forward to getting a better quality sleep. Again, I'm 544 00:25:06,920 --> 00:25:10,040 Speaker 1: better a fair amount of hours seven hours, but I 545 00:25:10,119 --> 00:25:12,119 Speaker 1: don't have I don't know if I'm getting into the 546 00:25:12,160 --> 00:25:16,000 Speaker 1: deep sleep. I'm concerned about neurodegenerative diseases as a result 547 00:25:16,040 --> 00:25:20,840 Speaker 1: of not having enough of glial cells clearing whatever is 548 00:25:20,840 --> 00:25:24,480 Speaker 1: accumulating in my brain during the day, and that's a 549 00:25:24,560 --> 00:25:26,520 Speaker 1: big deal for me. I get very concerned about that. 550 00:25:26,560 --> 00:25:31,639 Speaker 1: In terms of longevity, I'm talking about qualitative lifestyle. Qualitative longevity. 551 00:25:33,720 --> 00:25:36,400 Speaker 1: Tell me about your pro physically, what are we talking 552 00:25:36,400 --> 00:25:39,280 Speaker 1: about here. It's not very thick, it's about it's about 553 00:25:39,920 --> 00:25:42,520 Speaker 1: in your in American terms, it's probably about an inch 554 00:25:42,520 --> 00:25:43,240 Speaker 1: and a bit thick. 555 00:25:45,440 --> 00:25:46,720 Speaker 2: It's probably less than a centime. 556 00:25:47,080 --> 00:25:50,480 Speaker 1: It's relatively heavy relative but it sits on the bed, 557 00:25:50,520 --> 00:25:53,080 Speaker 1: so it doesn't matter relatively heavy. It's heavy than I expected. 558 00:25:53,080 --> 00:25:55,439 Speaker 1: It's got an umbilical call but something looks like an 559 00:25:55,520 --> 00:25:57,800 Speaker 1: umbilical cord to me. So it's a big sort of 560 00:25:58,000 --> 00:26:01,119 Speaker 1: cord that goes at the back of the bed and underneath, 561 00:26:01,160 --> 00:26:05,359 Speaker 1: and I've got it attached to a box they call 562 00:26:05,440 --> 00:26:07,080 Speaker 1: the hub. And it looks like like an air condition 563 00:26:07,240 --> 00:26:09,200 Speaker 1: or something or something. It looks like some sort of 564 00:26:09,240 --> 00:26:13,240 Speaker 1: air conditioner type thing. It's actually quite sleep looking quite nice. 565 00:26:13,240 --> 00:26:16,120 Speaker 1: Look it looks nice and that then in turn connects 566 00:26:16,200 --> 00:26:19,560 Speaker 1: to the power and you put water into the into 567 00:26:19,640 --> 00:26:21,840 Speaker 1: the sort of a thing you put water into into 568 00:26:21,920 --> 00:26:24,800 Speaker 1: the hub. So tell me about your pride. What are 569 00:26:24,800 --> 00:26:25,320 Speaker 1: we talking about? 570 00:26:25,960 --> 00:26:28,920 Speaker 2: So is a mattress cover that you can install onto 571 00:26:28,960 --> 00:26:31,240 Speaker 2: any mattress and it will improve your sleep. There is 572 00:26:32,080 --> 00:26:35,520 Speaker 2: the ten seconds speech and it is a mattress covert 573 00:26:35,560 --> 00:26:38,520 Speaker 2: that doesn't change the feeling of your mattress. So whatever 574 00:26:38,640 --> 00:26:40,560 Speaker 2: you like, it will not change. If you like, you're confidence. 575 00:26:40,560 --> 00:26:43,200 Speaker 1: I slept the last time, I don't feel anything different 576 00:26:43,240 --> 00:26:45,480 Speaker 1: in terms of how the mattress was feeling before. 577 00:26:45,640 --> 00:26:48,600 Speaker 2: And inside this technology, inside this cover, there are two 578 00:26:48,800 --> 00:26:51,440 Speaker 2: key things. One there are sensors and they are able 579 00:26:51,520 --> 00:26:53,720 Speaker 2: to track everything about your sleep and your health. So 580 00:26:53,840 --> 00:26:57,399 Speaker 2: we track your time SLAP, your sleep quality, deep and 581 00:26:57,680 --> 00:27:00,080 Speaker 2: RAM and so on, so everything about your sleep, and 582 00:27:00,160 --> 00:27:02,720 Speaker 2: then with everything about your heart rate, your HRV, heart 583 00:27:02,760 --> 00:27:04,440 Speaker 2: treate variability, and your respiration. 584 00:27:04,600 --> 00:27:06,720 Speaker 1: So I don't really wear a wearable. 585 00:27:06,480 --> 00:27:09,480 Speaker 2: Exactly, so it replaces any wearable. You don't have to 586 00:27:09,560 --> 00:27:10,560 Speaker 2: wear anything, just go. 587 00:27:10,640 --> 00:27:13,080 Speaker 1: To bed perfect. Yeah, because I don't like the wearables. 588 00:27:13,240 --> 00:27:14,480 Speaker 1: I don't want to go to bed with a or 589 00:27:14,560 --> 00:27:17,840 Speaker 1: ring or you know, any other wearable because I'll just 590 00:27:17,960 --> 00:27:20,760 Speaker 1: you feel quite annoyed, just the feeling of it. 591 00:27:20,760 --> 00:27:24,399 Speaker 2: I don't like it. Correct then, based on these biometrics, 592 00:27:24,600 --> 00:27:27,000 Speaker 2: we do chew things in real time. The first one 593 00:27:27,280 --> 00:27:29,520 Speaker 2: is we change the temperature of your bed, so each 594 00:27:29,600 --> 00:27:31,680 Speaker 2: side of the bed will have a different temperature. So 595 00:27:31,720 --> 00:27:33,560 Speaker 2: if you sleep with a partner, you like it cold 596 00:27:33,880 --> 00:27:37,800 Speaker 2: and your partner likes it warm. That is completely How. 597 00:27:37,760 --> 00:27:39,680 Speaker 1: Do we work that part out? How do I work 598 00:27:39,720 --> 00:27:42,840 Speaker 1: out if I because I get hot and that actually 599 00:27:42,840 --> 00:27:45,440 Speaker 1: wakes me up every night at about one or two o'clock. 600 00:27:45,720 --> 00:27:48,000 Speaker 1: I'm really hot, even in the middle of winter. Yep, 601 00:27:48,119 --> 00:27:50,120 Speaker 1: I have to throw the dinner off and then after 602 00:27:50,160 --> 00:27:53,120 Speaker 1: about twenty thirty minutes to get cold again. But how 603 00:27:53,160 --> 00:27:55,359 Speaker 1: does it? How do I does it? Ask me what 604 00:27:55,440 --> 00:27:56,159 Speaker 1: temperature likes? 605 00:27:56,560 --> 00:27:58,760 Speaker 2: So during the installation, you go through a quid and 606 00:27:58,880 --> 00:28:01,040 Speaker 2: so you answer a couple of diferent questions so you 607 00:28:01,080 --> 00:28:03,920 Speaker 2: will share, Okay, I tend to feel hot like a 608 00:28:04,040 --> 00:28:06,679 Speaker 2: colder blah blah blah. And we set the baseline right, 609 00:28:06,840 --> 00:28:09,919 Speaker 2: and then we use artificial intelligence and our core feature 610 00:28:09,960 --> 00:28:12,639 Speaker 2: that is called autopilot. And so every night we're going 611 00:28:12,680 --> 00:28:15,760 Speaker 2: to adjust the temperature for you fifty hundred times per 612 00:28:15,920 --> 00:28:18,960 Speaker 2: night in real time based on your biometrics. So it 613 00:28:19,000 --> 00:28:21,159 Speaker 2: could change based on when you're in deep sleep you 614 00:28:21,240 --> 00:28:23,359 Speaker 2: get a different temperature from when you are in remp 615 00:28:23,920 --> 00:28:25,800 Speaker 2: or maybe there is a heat wave and so the 616 00:28:26,600 --> 00:28:28,879 Speaker 2: temperature in your bedroom is different than usual and we 617 00:28:28,920 --> 00:28:32,880 Speaker 2: will adjust it. Or maybe you had alcohol that night 618 00:28:33,040 --> 00:28:35,760 Speaker 2: and this changes your body temperature, we will adjust temperature 619 00:28:35,840 --> 00:28:38,400 Speaker 2: for you as well. And the same thing, so this 620 00:28:38,680 --> 00:28:42,040 Speaker 2: personalization will happen also for your partner. 621 00:28:42,240 --> 00:28:43,960 Speaker 1: So the thing is going to brain in it. Basically 622 00:28:44,440 --> 00:28:47,800 Speaker 1: there's a brain in side, yeah, a brain some way. 623 00:28:47,760 --> 00:28:50,720 Speaker 2: Correct, there's an eye brain that knows everything. We also 624 00:28:51,360 --> 00:28:55,280 Speaker 2: can capture data from your Apple Watch or your Apple Health, 625 00:28:55,400 --> 00:28:57,480 Speaker 2: so we know what time you train during the day. 626 00:28:57,680 --> 00:28:59,920 Speaker 2: So we try to collect as much information as possible 627 00:29:00,000 --> 00:29:02,320 Speaker 2: about your body that night, and based on that we 628 00:29:02,320 --> 00:29:05,080 Speaker 2: will adjust temperature for you and your partner. And this 629 00:29:05,280 --> 00:29:08,520 Speaker 2: is one thing. Then in May we release the pod 630 00:29:08,600 --> 00:29:11,520 Speaker 2: for Ultra that does another thing, and so we are 631 00:29:11,640 --> 00:29:15,160 Speaker 2: able to mitigate your snoring. And so there is this 632 00:29:15,280 --> 00:29:18,080 Speaker 2: other layer that goes underneath the mattress. It's a sort 633 00:29:18,120 --> 00:29:20,800 Speaker 2: of base, very thin. It disappears, you can install it 634 00:29:21,240 --> 00:29:24,400 Speaker 2: in any matterress. It disappears inside the bad frame. And 635 00:29:24,560 --> 00:29:27,080 Speaker 2: whenever you're snoring, we are going to raise your head 636 00:29:27,320 --> 00:29:30,000 Speaker 2: and you will We will mitigate your snoring. So if 637 00:29:30,040 --> 00:29:32,080 Speaker 2: you have lights snoring, it will go away. If you 638 00:29:32,200 --> 00:29:35,320 Speaker 2: have mile or heavy you will mitigate twenty twenty five percent. 639 00:29:36,240 --> 00:29:38,520 Speaker 2: This also helps a lot of people with sleep happenia, 640 00:29:38,560 --> 00:29:41,440 Speaker 2: which is another major disease that can impact your longevity. 641 00:29:41,920 --> 00:29:45,160 Speaker 2: And so we fix these two things snoring and temperature, 642 00:29:45,400 --> 00:29:47,040 Speaker 2: and that is how we give you better sleep. 643 00:29:47,320 --> 00:29:51,840 Speaker 1: So the II that sits in your software or your system, 644 00:29:53,680 --> 00:29:56,280 Speaker 1: I presume what you're saying is over time it will 645 00:29:56,360 --> 00:29:59,680 Speaker 1: optimize the temperature. I don't snow, so I don't need 646 00:29:59,760 --> 00:30:05,120 Speaker 1: the ultra but not yet. But it optimizes the temperature 647 00:30:05,160 --> 00:30:09,320 Speaker 1: for me based on what it learns about me. Does 648 00:30:09,360 --> 00:30:14,760 Speaker 1: it give me a relativity relative to say, a cohort 649 00:30:14,800 --> 00:30:17,040 Speaker 1: of people at my age, does it sort of say, oh, 650 00:30:17,160 --> 00:30:19,480 Speaker 1: by the way, Mark, compare to everyone else your age 651 00:30:19,520 --> 00:30:24,440 Speaker 1: that we've we've got information on. You're in a at 652 00:30:24,440 --> 00:30:27,640 Speaker 1: the bottom twenty five percent in terms of temperatures instead 653 00:30:27,640 --> 00:30:29,240 Speaker 1: of give me a relativity. Does it tell me anything 654 00:30:29,280 --> 00:30:30,720 Speaker 1: about myself relative everybody else? 655 00:30:31,040 --> 00:30:33,960 Speaker 2: Yeah, impe for temperature. So we tell you when you're 656 00:30:34,000 --> 00:30:37,960 Speaker 2: trying sleep quality whatever exactly. Yeah, you have a section 657 00:30:38,120 --> 00:30:40,320 Speaker 2: with old metrics and you have your own metrics, and 658 00:30:40,480 --> 00:30:44,400 Speaker 2: then we have inside where we surf ace patterns, trends 659 00:30:44,480 --> 00:30:46,480 Speaker 2: and how you compare to similar cohorts. 660 00:30:46,760 --> 00:30:53,560 Speaker 1: And why is Maybe you could tell me why sleeping restfully? 661 00:30:54,680 --> 00:30:58,560 Speaker 1: Maybe that's a good word for six or seven hours, 662 00:30:58,600 --> 00:31:02,760 Speaker 1: whatever the period is, Why is it so important to me? 663 00:31:03,040 --> 00:31:10,080 Speaker 2: For a longevity psych oversimplified, is when your body cleans 664 00:31:10,160 --> 00:31:13,560 Speaker 2: up itself, right, and so you do certain activities during 665 00:31:13,600 --> 00:31:16,280 Speaker 2: the days. There are physical activities and mental activities. Then 666 00:31:17,160 --> 00:31:20,800 Speaker 2: during the deep phase is when the body repairs itself 667 00:31:21,080 --> 00:31:24,040 Speaker 2: from a physical standpoint. Then in the rem phase is 668 00:31:24,120 --> 00:31:27,080 Speaker 2: when your brain cleans up all the information that you 669 00:31:27,160 --> 00:31:30,800 Speaker 2: collected during the day and reorganize this information. And so 670 00:31:30,880 --> 00:31:33,479 Speaker 2: if you start cutting one of these two, you are 671 00:31:33,520 --> 00:31:37,360 Speaker 2: going to penalize your longevity and your own body or 672 00:31:37,520 --> 00:31:40,480 Speaker 2: your own mind and memory. That is why sleep is 673 00:31:40,560 --> 00:31:43,960 Speaker 2: so important. So when you think of health and longevity, 674 00:31:44,000 --> 00:31:46,160 Speaker 2: there are three pillars. So there is sleep, there is 675 00:31:46,240 --> 00:31:50,000 Speaker 2: fitness and nutrition, but the reality is the foundation is sleep. 676 00:31:50,080 --> 00:31:52,920 Speaker 2: Because if you start sleeping two hours per night, you 677 00:31:52,960 --> 00:31:56,160 Speaker 2: will start craving junk food and you will be enable 678 00:31:56,240 --> 00:31:59,280 Speaker 2: to train or train properly. And so there are three 679 00:31:59,360 --> 00:32:03,200 Speaker 2: legs that build the concept of health and longevity. But really, 680 00:32:03,240 --> 00:32:04,800 Speaker 2: if you miss the sleep, but the other two are 681 00:32:04,840 --> 00:32:05,480 Speaker 2: not going to happen. 682 00:32:05,920 --> 00:32:08,600 Speaker 1: So in other words, if I'm really good at training, 683 00:32:08,960 --> 00:32:11,840 Speaker 1: and if I'm really good at food or nutrition, if 684 00:32:11,880 --> 00:32:14,000 Speaker 1: I don't sleep, you. 685 00:32:14,000 --> 00:32:17,120 Speaker 2: Will get injured. So you will lose performance. You will 686 00:32:17,160 --> 00:32:22,400 Speaker 2: lose mental performance, and probably you will you will need 687 00:32:22,520 --> 00:32:26,440 Speaker 2: junk food and you will crave sugar and carbs to 688 00:32:26,600 --> 00:32:28,800 Speaker 2: compensate for the lack of energy that comes from the 689 00:32:28,880 --> 00:32:29,400 Speaker 2: lack of sleep. 690 00:32:29,480 --> 00:32:31,680 Speaker 3: Yeah, and even if you ate well, you wouldn't metabolize those. 691 00:32:31,760 --> 00:32:34,040 Speaker 3: It's the same way because you know your cortisol have spiked, 692 00:32:34,120 --> 00:32:36,480 Speaker 3: like your glucose levels will look different. And so it 693 00:32:36,640 --> 00:32:39,920 Speaker 3: really is the foundational leg of everything is sleep. 694 00:32:40,240 --> 00:32:43,600 Speaker 1: So can we just maybe go through no, no, no, 695 00:32:44,000 --> 00:32:47,880 Speaker 1: you're not neither one of you proposing to be doctors 696 00:32:48,160 --> 00:32:51,000 Speaker 1: or you know, medical giving medical advice, et cetera. But 697 00:32:51,720 --> 00:32:53,800 Speaker 1: maybe I could just sort of dip in a little 698 00:32:53,800 --> 00:32:57,160 Speaker 1: bit into some of the tech, I mean, the biotech 699 00:32:57,280 --> 00:33:00,239 Speaker 1: or the biomedical tech in relation to how our how 700 00:33:00,320 --> 00:33:02,760 Speaker 1: we go when it is sleeping. Maybe just take me through. 701 00:33:04,000 --> 00:33:06,920 Speaker 1: Is it better for me to get a better nine 702 00:33:07,000 --> 00:33:11,480 Speaker 1: pm early early sleep and sleep let's call it seven 703 00:33:11,520 --> 00:33:15,240 Speaker 1: hours and they wake up before am? Or is it 704 00:33:15,320 --> 00:33:18,080 Speaker 1: better for me to go to sleep at twelve am 705 00:33:18,280 --> 00:33:21,560 Speaker 1: and wake up at seven am? I mean, because what's 706 00:33:21,560 --> 00:33:21,840 Speaker 1: the deal? 707 00:33:22,480 --> 00:33:22,600 Speaker 3: Ye? 708 00:33:23,040 --> 00:33:25,440 Speaker 2: So, first of all, we all have a circadian cycle, 709 00:33:26,120 --> 00:33:28,680 Speaker 2: and so your body temperature already changes during the night. 710 00:33:29,480 --> 00:33:33,160 Speaker 2: This is very important because this is how you understand 711 00:33:33,280 --> 00:33:36,160 Speaker 2: how eight sleep works and why eight sleep works. We 712 00:33:36,240 --> 00:33:39,120 Speaker 2: are not reinventing the wheel. Your body temperature is already 713 00:33:39,240 --> 00:33:42,000 Speaker 2: changing during the night. What a sleep does is it 714 00:33:42,280 --> 00:33:47,040 Speaker 2: enhances this body function to do it faster and more properly. 715 00:33:47,880 --> 00:33:50,840 Speaker 2: And so the circadian cycle is when you start feeling sleepy, 716 00:33:51,760 --> 00:33:53,760 Speaker 2: and at that point, as soon as you fall asleep, 717 00:33:53,800 --> 00:33:55,880 Speaker 2: you need a colder temperature. In the first part of 718 00:33:55,960 --> 00:33:58,040 Speaker 2: the night, you tend to have more deep sleep than RAM. 719 00:33:58,200 --> 00:33:59,840 Speaker 2: In the second part of the night you tend to 720 00:33:59,880 --> 00:34:01,760 Speaker 2: have more RAM than deep sleep. 721 00:34:01,800 --> 00:34:03,440 Speaker 1: What's the difference between RAM and deep sleep. 722 00:34:03,840 --> 00:34:07,520 Speaker 2: Oversimplified that deep sleep is when there is the physical 723 00:34:07,840 --> 00:34:10,279 Speaker 2: part of the body recovering, and RAM is when you 724 00:34:10,480 --> 00:34:13,400 Speaker 2: dream and there is the mental part recovering. And so 725 00:34:13,680 --> 00:34:15,680 Speaker 2: what your body does is in the first part of 726 00:34:15,760 --> 00:34:18,040 Speaker 2: the night is focus more on the physical part, and 727 00:34:18,120 --> 00:34:20,560 Speaker 2: so the body wants to make sure that your physical 728 00:34:20,680 --> 00:34:24,359 Speaker 2: body recovers. Once that has been done or partially done, 729 00:34:24,600 --> 00:34:26,799 Speaker 2: is when it starts focusing on your brain and your 730 00:34:26,880 --> 00:34:27,879 Speaker 2: memory and all the rest. 731 00:34:28,000 --> 00:34:30,200 Speaker 1: So you can just go back matter. You're saying that, 732 00:34:30,600 --> 00:34:34,640 Speaker 1: then the first part you need a certain temperature correct 733 00:34:34,719 --> 00:34:37,719 Speaker 1: for the deep sleep. So I go let's say I 734 00:34:37,800 --> 00:34:40,080 Speaker 1: put my head on the pillow. Do I go on 735 00:34:40,160 --> 00:34:41,640 Speaker 1: the deep sleep pretty much straight away? 736 00:34:41,719 --> 00:34:42,000 Speaker 2: Or is it? 737 00:34:42,040 --> 00:34:42,879 Speaker 1: What's the time? 738 00:34:43,440 --> 00:34:47,319 Speaker 2: Usually it varies, it's very different. But again you tend 739 00:34:47,360 --> 00:34:49,759 Speaker 2: to fall asleep. You get into light sleep, and then 740 00:34:50,000 --> 00:34:52,719 Speaker 2: usually you get into deep and then there is RAM. 741 00:34:53,280 --> 00:34:56,840 Speaker 2: Remember that your sleep goes into nineteen minute cycles. So 742 00:34:56,960 --> 00:34:59,520 Speaker 2: everything works in nineteen minute cycles, and you have light 743 00:34:59,640 --> 00:35:02,799 Speaker 2: deep RAM in each of these cycles. But the percentage 744 00:35:02,800 --> 00:35:05,160 Speaker 2: of deep and RAM changes during the night. In the 745 00:35:05,200 --> 00:35:07,080 Speaker 2: first part of the night, there is more deep than 746 00:35:07,200 --> 00:35:09,879 Speaker 2: RAM in this ninety minute cycle. In the second part 747 00:35:09,960 --> 00:35:12,440 Speaker 2: there is more ram right, And the reason is because 748 00:35:12,480 --> 00:35:15,120 Speaker 2: the body first that gives priority to the physical part 749 00:35:15,239 --> 00:35:17,279 Speaker 2: in the second. In the second part of the night, 750 00:35:17,440 --> 00:35:20,279 Speaker 2: once the physical part of the body has recover it 751 00:35:20,360 --> 00:35:24,239 Speaker 2: tends to give no higher priority to your brain. But 752 00:35:24,360 --> 00:35:26,400 Speaker 2: you need different temperatures, and I tell you why. So 753 00:35:26,480 --> 00:35:28,839 Speaker 2: in deep sleep you need a very cold temperature, as 754 00:35:28,880 --> 00:35:31,640 Speaker 2: cold as possible. Obviously you need to balance that with 755 00:35:31,800 --> 00:35:32,799 Speaker 2: comfort because. 756 00:35:32,560 --> 00:35:35,399 Speaker 1: When you say as cold as possible, what I could 757 00:35:35,400 --> 00:35:38,480 Speaker 1: say zero like some stupid I could say it's zero celsia, 758 00:35:38,480 --> 00:35:39,280 Speaker 1: I mean celsius. 759 00:35:39,880 --> 00:35:43,160 Speaker 3: It's relative. So it's as cold as you can tolerate. Yeah, 760 00:35:43,320 --> 00:35:45,080 Speaker 3: that's why it's one of the key things of what 761 00:35:45,160 --> 00:35:46,960 Speaker 3: we built with the product is that when you really 762 00:35:47,000 --> 00:35:49,839 Speaker 3: start looking into everything we read nowadays in the media, 763 00:35:49,880 --> 00:35:52,040 Speaker 3: where they'll tell you keep your bed bedroom met a 764 00:35:52,120 --> 00:35:55,239 Speaker 3: certain cold temperature, it's not the same for everyone. And 765 00:35:55,320 --> 00:35:57,480 Speaker 3: so that's what we do with the pod and with 766 00:35:57,560 --> 00:36:00,360 Speaker 3: the sort of autopalot is fined relative to what you 767 00:36:00,480 --> 00:36:03,040 Speaker 3: feel comfortable when you first get in bed. How much 768 00:36:03,160 --> 00:36:05,279 Speaker 3: lower can we go once you fall asleep in order 769 00:36:05,400 --> 00:36:07,160 Speaker 3: to ease you into deep sleep and keep you in 770 00:36:07,200 --> 00:36:09,520 Speaker 3: deep sleep longer and then doing the same for that 771 00:36:09,640 --> 00:36:12,000 Speaker 3: rum phase. But it is entirely relative. 772 00:36:12,160 --> 00:36:14,720 Speaker 1: So does that mean then I shouldn't have a sooner 773 00:36:14,760 --> 00:36:15,520 Speaker 1: before I get a bit. 774 00:36:16,120 --> 00:36:19,239 Speaker 2: No, Actually, sauna and even an ice bath, So any 775 00:36:19,360 --> 00:36:24,120 Speaker 2: sort of temperature changing your body will actually help you 776 00:36:25,200 --> 00:36:28,480 Speaker 2: to relax. And the key thing is how you end. 777 00:36:28,640 --> 00:36:33,560 Speaker 2: So usually personally I end with the warm part because 778 00:36:33,880 --> 00:36:37,840 Speaker 2: you want the body temperature to be the same almost 779 00:36:37,920 --> 00:36:40,160 Speaker 2: every night, so your body knows that it's time to 780 00:36:40,239 --> 00:36:43,040 Speaker 2: go to bed, and so I do an ice bath. Sorry, 781 00:36:43,040 --> 00:36:45,000 Speaker 2: I do a sauna and an ice bath, a saua 782 00:36:45,080 --> 00:36:47,960 Speaker 2: and a quick eyes bath, and then I let my 783 00:36:48,040 --> 00:36:50,200 Speaker 2: body rest for thirty minutes and then I can go. 784 00:36:50,280 --> 00:36:52,640 Speaker 1: To sleep, just like you're cooking a steak, you know. 785 00:36:53,400 --> 00:36:53,600 Speaker 2: Rest. 786 00:36:54,200 --> 00:36:57,279 Speaker 1: Yeah, then you got a sleep, so bit of sort 787 00:36:57,280 --> 00:36:59,160 Speaker 1: of cool down a bit, or you go back to 788 00:36:59,200 --> 00:37:02,600 Speaker 1: a normal body. You're not overheated from your your sauna, 789 00:37:02,719 --> 00:37:05,080 Speaker 1: and you're not freezing coal from the ice bath exactly, 790 00:37:05,120 --> 00:37:08,000 Speaker 1: so you get yourself back to your normal body temperature. 791 00:37:08,760 --> 00:37:13,200 Speaker 1: What about things like dressing for bed, like I mean, 792 00:37:13,440 --> 00:37:18,000 Speaker 1: should we wear like in the middle of winter? For example, 793 00:37:18,440 --> 00:37:20,520 Speaker 1: a lot of people go to bed with long long 794 00:37:20,560 --> 00:37:24,319 Speaker 1: pajamas on, like or should should were going to be naked? 795 00:37:24,400 --> 00:37:27,440 Speaker 3: Like ideally know naked is better definitely if you're comfortable yet, 796 00:37:27,440 --> 00:37:30,359 Speaker 3: because your body will do the job right. And it's 797 00:37:30,400 --> 00:37:32,160 Speaker 3: one of the things that if you ever go to bed, 798 00:37:32,200 --> 00:37:35,360 Speaker 3: for instance, with socks, you know, your body regulates temperature 799 00:37:35,400 --> 00:37:38,719 Speaker 3: through extremities pulps in your hands, your feet, your head, 800 00:37:38,880 --> 00:37:41,120 Speaker 3: and so if you cover those, then it's going to 801 00:37:41,160 --> 00:37:43,839 Speaker 3: struggle to just as it goes through those fluctuations during 802 00:37:43,880 --> 00:37:46,279 Speaker 3: the night, it can't release the body heat and so 803 00:37:46,320 --> 00:37:48,040 Speaker 3: you're probably gonna feel really hot in the middle the night, 804 00:37:48,080 --> 00:37:49,680 Speaker 3: you're gonna wake up, you're gonna take it off, or 805 00:37:49,719 --> 00:37:51,320 Speaker 3: you know, the typical thing we can all relate to 806 00:37:51,320 --> 00:37:53,320 Speaker 3: where you stick your foot out of the covers is 807 00:37:53,360 --> 00:37:55,920 Speaker 3: because your body is looking for that way to just 808 00:37:56,040 --> 00:38:00,200 Speaker 3: release the body heat. So it's like natural fiber is 809 00:38:00,360 --> 00:38:04,319 Speaker 3: just thinner pajamas. Naked, if you want to, it's definitely better. 810 00:38:04,800 --> 00:38:07,800 Speaker 2: An important thing to highlight is also that when we 811 00:38:07,960 --> 00:38:10,400 Speaker 2: say there we are just the temperature for you, you 812 00:38:10,600 --> 00:38:13,560 Speaker 2: need different temperature every night because maybe you had a 813 00:38:13,640 --> 00:38:16,120 Speaker 2: couple of cocktails, yeah, a couple of drinks. Maybe you 814 00:38:16,200 --> 00:38:19,520 Speaker 2: had to heavymail. Maybe you train and you went to 815 00:38:19,760 --> 00:38:23,200 Speaker 2: play ten is very late in the evening, and now 816 00:38:23,280 --> 00:38:27,200 Speaker 2: your body temperature is higher and your heart rate is accelerated. 817 00:38:27,480 --> 00:38:29,880 Speaker 2: And so our system and our AI takes all these 818 00:38:29,960 --> 00:38:33,879 Speaker 2: factors into consideration and it adjusts the temperature every single night. 819 00:38:34,080 --> 00:38:36,640 Speaker 1: So yeah, so in other words, it's optimizing you based 820 00:38:36,680 --> 00:38:39,600 Speaker 1: on how you got into bed, your state once you 821 00:38:39,640 --> 00:38:42,400 Speaker 1: get into bed. So these senses must be pretty I 822 00:38:42,480 --> 00:38:46,120 Speaker 1: mean they were like every couple of meters, every couple 823 00:38:46,160 --> 00:38:49,600 Speaker 1: of so square half meters or quarter met I mean 824 00:38:50,800 --> 00:38:56,040 Speaker 1: the sensor program is obviously all over the bed. So 825 00:38:56,120 --> 00:38:58,560 Speaker 1: in other words, it gets me everywhere, like it knows 826 00:38:58,600 --> 00:39:00,920 Speaker 1: everything I'm doing sort of thing. Yeah, I mean it 827 00:39:01,000 --> 00:39:01,840 Speaker 1: sounds very interesting. 828 00:39:03,440 --> 00:39:06,799 Speaker 2: The interesting thing is with our sensors, we reach if. 829 00:39:06,719 --> 00:39:08,440 Speaker 1: I have sex in bed, like like, is it going 830 00:39:08,520 --> 00:39:11,040 Speaker 1: to send something like that and send a message back 831 00:39:11,080 --> 00:39:11,640 Speaker 1: to HUMTI. 832 00:39:12,040 --> 00:39:14,799 Speaker 2: We don't send you a message back and potentially could 833 00:39:14,840 --> 00:39:17,480 Speaker 2: detect it, but we don't serve as that. Okay, yeah, 834 00:39:18,280 --> 00:39:20,959 Speaker 2: But the interesting thing is we have reached a point 835 00:39:21,040 --> 00:39:23,719 Speaker 2: where we run a clinical study and we compare ourselves 836 00:39:23,760 --> 00:39:26,560 Speaker 2: to a medical grade device like an EKG, and we 837 00:39:26,920 --> 00:39:30,840 Speaker 2: in HRD detection, we have nineteen nine percent accuracy compared 838 00:39:30,840 --> 00:39:32,880 Speaker 2: to a medical grade device, and in HRV we are 839 00:39:32,920 --> 00:39:35,920 Speaker 2: at ninety five. And it's notoring we are at ninety five. 840 00:39:36,120 --> 00:39:38,080 Speaker 1: The reason I answer because you know a lot of 841 00:39:38,160 --> 00:39:41,160 Speaker 1: devices aren't that accurate. I mean, like if I could 842 00:39:41,200 --> 00:39:43,320 Speaker 1: just get a really basic one, like so running machine, 843 00:39:43,640 --> 00:39:45,359 Speaker 1: you know this, if you almost you put your handle 844 00:39:45,440 --> 00:39:47,520 Speaker 1: there and this tells you what your heart rate is. 845 00:39:48,080 --> 00:39:50,960 Speaker 1: And then if you check on wearables, there's no even 846 00:39:50,960 --> 00:39:53,759 Speaker 1: the wearables can be in accurate too, but like there's no, no, 847 00:39:54,160 --> 00:39:57,239 Speaker 1: nearly no relationship between the things. So in terms of 848 00:39:57,719 --> 00:40:00,120 Speaker 1: what your you guys do, you must have multiple all 849 00:40:00,200 --> 00:40:03,799 Speaker 1: senses every way so that it's always going to get 850 00:40:03,800 --> 00:40:04,359 Speaker 1: me all the time. 851 00:40:04,520 --> 00:40:06,920 Speaker 2: Yeah, we have a lot of space right compare available, 852 00:40:07,000 --> 00:40:09,319 Speaker 2: That is our advantage, and then we stream the raw 853 00:40:09,400 --> 00:40:11,439 Speaker 2: data to the cloud and we're on the machine learning 854 00:40:11,520 --> 00:40:15,279 Speaker 2: in the cloud. But the incredible thing is you go 855 00:40:15,360 --> 00:40:16,880 Speaker 2: to bed as you did for the rest of your 856 00:40:16,920 --> 00:40:19,439 Speaker 2: life and this bad now is a medical great device. Okay, 857 00:40:19,480 --> 00:40:22,600 Speaker 2: we don't have FDA approval yet, which is the equivalent 858 00:40:22,680 --> 00:40:23,439 Speaker 2: in the US office. 859 00:40:23,440 --> 00:40:25,479 Speaker 1: It's not diagnostic though, so you don't need. 860 00:40:25,360 --> 00:40:26,160 Speaker 3: It's not yet. 861 00:40:26,560 --> 00:40:28,600 Speaker 2: It's not yet. But the interesting thing is in the 862 00:40:28,680 --> 00:40:33,560 Speaker 2: back end we already see cardiovascolar diseases and we ceasly papania. 863 00:40:33,600 --> 00:40:36,760 Speaker 2: So we see we see a fibrillation with cicely papnia, 864 00:40:36,920 --> 00:40:39,520 Speaker 2: but we cannot tell you because we are not an 865 00:40:39,600 --> 00:40:41,920 Speaker 2: FDA approved and so we are not allowed to do me. 866 00:40:42,000 --> 00:40:44,600 Speaker 1: Can you nudge me about something? 867 00:40:44,920 --> 00:40:47,440 Speaker 2: We're working on that so within the boundaries of what 868 00:40:47,600 --> 00:40:50,680 Speaker 2: you can do without being FDA approved, can we nudge 869 00:40:50,680 --> 00:40:52,840 Speaker 2: you to talk to a doctor? Because it becomes a 870 00:40:52,920 --> 00:40:55,239 Speaker 2: moral problem at a certain point. Obviously we don't know 871 00:40:55,320 --> 00:40:55,600 Speaker 2: who is. 872 00:40:55,760 --> 00:40:58,480 Speaker 1: What's the moral dilemma for you? Yeah, for us, for you, 873 00:40:59,440 --> 00:41:00,880 Speaker 1: you know, some think it might be you should be 874 00:41:00,960 --> 00:41:01,600 Speaker 1: chelling you something. 875 00:41:01,680 --> 00:41:04,080 Speaker 2: Yeah, And again we don't know who is who. So 876 00:41:04,200 --> 00:41:06,200 Speaker 2: it's not that we know the identity of the person. 877 00:41:07,000 --> 00:41:11,280 Speaker 2: NUM number zero, one, five, a whatever is a code. 878 00:41:11,360 --> 00:41:13,200 Speaker 2: But there is this code and this code has a 879 00:41:13,280 --> 00:41:16,200 Speaker 2: rhythmia and every night his heart rate drops below a 880 00:41:16,239 --> 00:41:19,560 Speaker 2: certain threshold and there is a cardiolasco at risk. Yeah. 881 00:41:19,880 --> 00:41:22,879 Speaker 3: Wow, We've had actual users who sleep on the pod 882 00:41:23,080 --> 00:41:25,800 Speaker 3: that come to their own conclusions with the data. So 883 00:41:25,880 --> 00:41:27,880 Speaker 3: one of the beauties of not being a wearable is 884 00:41:27,920 --> 00:41:30,880 Speaker 3: that people just go to bed and it's there regardless 885 00:41:30,880 --> 00:41:33,200 Speaker 3: whether you touch it or feel it or not. It 886 00:41:33,320 --> 00:41:36,319 Speaker 3: is tracking you. And so people have seen that, maybe 887 00:41:36,320 --> 00:41:38,240 Speaker 3: they've been using the pod for two or three years. 888 00:41:38,400 --> 00:41:40,960 Speaker 3: They see their trends. They know what their heart rate 889 00:41:41,000 --> 00:41:43,440 Speaker 3: at rest should look like, they know what their respiratory 890 00:41:43,560 --> 00:41:46,520 Speaker 3: rate should look like, and when something is off them, 891 00:41:46,760 --> 00:41:49,319 Speaker 3: they themselves checking it on the eight sleep app. They 892 00:41:49,400 --> 00:41:52,200 Speaker 3: realize that something is not right. We had someone who 893 00:41:52,239 --> 00:41:54,799 Speaker 3: wrote to Mateo on Twitter and private DM and said, hey, 894 00:41:54,960 --> 00:41:58,040 Speaker 3: I saw this on my data. I thought this was 895 00:41:58,080 --> 00:41:59,719 Speaker 3: weird because I was also not feeling well, went to 896 00:41:59,760 --> 00:42:02,160 Speaker 3: the hospital, ended up having a heart intervention. 897 00:42:02,520 --> 00:42:02,719 Speaker 1: Wow. 898 00:42:02,960 --> 00:42:05,759 Speaker 3: And this was like a healthy forty year old guy 899 00:42:06,000 --> 00:42:09,240 Speaker 3: who just because of having that tracking of so many years, 900 00:42:09,640 --> 00:42:12,399 Speaker 3: seeing a difference in his trend prompt him to see 901 00:42:12,440 --> 00:42:12,839 Speaker 3: his life. 902 00:42:13,000 --> 00:42:17,239 Speaker 1: So, and do you have a not a program, but 903 00:42:17,280 --> 00:42:19,279 Speaker 1: do you like send emails out to people or some 904 00:42:19,360 --> 00:42:21,720 Speaker 1: sort of correspond to them. However, it is just general 905 00:42:21,760 --> 00:42:25,439 Speaker 1: stuff saying look, you know some research by Peter Ortior 906 00:42:25,440 --> 00:42:28,520 Speaker 1: whoever it is, Andrew Human have said that you know 907 00:42:29,560 --> 00:42:33,040 Speaker 1: a heart rate of twenty two in the middle of 908 00:42:33,080 --> 00:42:37,480 Speaker 1: the night is probably not healthy, and a healthy optimum 909 00:42:37,480 --> 00:42:40,960 Speaker 1: is somewhere between forty and sixty whatever. And so that 910 00:42:41,040 --> 00:42:43,719 Speaker 1: people sort of when they look at their data, they say, wait, man, 911 00:42:44,040 --> 00:42:47,280 Speaker 1: I am twenty two without you without you actually saying 912 00:42:47,800 --> 00:42:50,759 Speaker 1: sort of going to that particular individual, do you do 913 00:42:50,920 --> 00:42:53,640 Speaker 1: that sort of supply education. 914 00:42:54,080 --> 00:42:56,200 Speaker 2: We're working on that right now, and we are also 915 00:42:56,320 --> 00:42:59,520 Speaker 2: calling this some of these abnormalities. So we are trying 916 00:42:59,520 --> 00:43:02,360 Speaker 2: to find the language that is compliant with FDA, and 917 00:43:02,480 --> 00:43:05,279 Speaker 2: so we want to surface look like these abnormalities. This 918 00:43:05,480 --> 00:43:11,040 Speaker 2: is what the medicine says, take a look and eventually 919 00:43:11,080 --> 00:43:11,760 Speaker 2: talk to a doctor. 920 00:43:11,920 --> 00:43:14,520 Speaker 1: Yeah, that's great because it's funny. Now I'm thinking of 921 00:43:16,360 --> 00:43:18,960 Speaker 1: my one I want to I'm not actually very curious 922 00:43:19,040 --> 00:43:21,440 Speaker 1: as to all this stuff because I haven't got a 923 00:43:21,480 --> 00:43:23,040 Speaker 1: clue what my heart right does in the middle of 924 00:43:23,040 --> 00:43:25,000 Speaker 1: the night. I have got a clue. 925 00:43:25,560 --> 00:43:28,480 Speaker 2: And there is also a curve of recovery right, So 926 00:43:29,120 --> 00:43:32,799 Speaker 2: this is something that the behavior of heart, your heart 927 00:43:32,920 --> 00:43:35,440 Speaker 2: rate and I and your HIV is indicative of how 928 00:43:35,520 --> 00:43:38,359 Speaker 2: much you're recovering that night and how you will feel 929 00:43:38,400 --> 00:43:40,719 Speaker 2: in the morning. So by looking at the curve, we 930 00:43:40,840 --> 00:43:43,280 Speaker 2: can know how you will feel in the morning. Another 931 00:43:43,360 --> 00:43:45,879 Speaker 2: thing that is really interesting is we have really high 932 00:43:46,000 --> 00:43:49,439 Speaker 2: accuracy at predicting you're getting sick. Even for this, there's 933 00:43:49,480 --> 00:43:52,320 Speaker 2: plenty of medical evidence, right, So based on your respiration 934 00:43:52,440 --> 00:43:54,640 Speaker 2: and particularly on the behavior of your heart rate, you 935 00:43:55,000 --> 00:43:58,240 Speaker 2: can predict three four days in advance that you're getting 936 00:43:58,320 --> 00:44:01,920 Speaker 2: sick and you will get fever because usually something starts 937 00:44:02,040 --> 00:44:04,160 Speaker 2: changing in your body. Your heart will start going up 938 00:44:04,280 --> 00:44:06,520 Speaker 2: and your REACHERVI goes down. And if you see it 939 00:44:06,600 --> 00:44:09,320 Speaker 2: for X days in a row, you have eighty percent 940 00:44:09,640 --> 00:44:13,319 Speaker 2: accuracy of predicting fever or just getting sick. 941 00:44:13,719 --> 00:44:17,120 Speaker 1: So I see that men aliston to human anyway, then 942 00:44:17,200 --> 00:44:20,799 Speaker 1: I see that he uses one and he swears why And. 943 00:44:20,920 --> 00:44:24,080 Speaker 2: He's part of our scientific advisory board. So Peter Atilla, 944 00:44:24,520 --> 00:44:27,120 Speaker 2: Andrew Euberman and Matthew Walker, they are part of our 945 00:44:27,360 --> 00:44:30,000 Speaker 2: advisory board and so we work with them on a 946 00:44:30,080 --> 00:44:32,000 Speaker 2: lot of this clinical and. 947 00:44:32,080 --> 00:44:36,400 Speaker 1: Do they help you develop more technology or more or 948 00:44:36,840 --> 00:44:40,600 Speaker 1: technology sorry off the back of the technology, better communication 949 00:44:40,760 --> 00:44:42,880 Speaker 1: in terms of metrics back to the user. 950 00:44:43,640 --> 00:44:47,080 Speaker 2: Absolutely, yeah, because obviously the part we have a clinical 951 00:44:47,160 --> 00:44:48,719 Speaker 2: team and we have an R and D team, so 952 00:44:48,800 --> 00:44:51,040 Speaker 2: we have our knowledge. He nows but it's also good 953 00:44:51,120 --> 00:44:53,360 Speaker 2: to talk to people like for example, Peter right with 954 00:44:53,520 --> 00:44:55,680 Speaker 2: a doctor and he has a practice and saying, okay, 955 00:44:55,760 --> 00:44:57,319 Speaker 2: what do you see in the practice. This is why 956 00:44:57,360 --> 00:44:59,960 Speaker 2: we are saying, do you have any recommendation? And maybe 957 00:45:00,120 --> 00:45:02,800 Speaker 2: we run clinical studies together. I mean we run the 958 00:45:02,840 --> 00:45:05,279 Speaker 2: clinical study, but he give us some insights and look 959 00:45:05,360 --> 00:45:08,480 Speaker 2: at these, look at that, maybe even some patience exactly. 960 00:45:08,520 --> 00:45:11,839 Speaker 2: And also his patients use are what product as well. 961 00:45:12,080 --> 00:45:14,360 Speaker 1: That's pretty exciting. So when you're running a business like 962 00:45:14,440 --> 00:45:18,520 Speaker 1: your business, how important is it to get like these 963 00:45:18,560 --> 00:45:23,160 Speaker 1: guys are headliners? Okay, they're big headlines a tear and 964 00:45:25,480 --> 00:45:28,960 Speaker 1: you know Whoman and Matt Walker was Mat Walker. 965 00:45:29,320 --> 00:45:31,200 Speaker 2: Guys who the big book? 966 00:45:32,239 --> 00:45:35,800 Speaker 1: Ah, yeah, I've heard him being interviewed. Yes, And it 967 00:45:35,840 --> 00:45:37,680 Speaker 1: seems like there was a bit of a when I 968 00:45:37,800 --> 00:45:40,279 Speaker 1: listened to him and Peter Tree together and actually there 969 00:45:40,320 --> 00:45:41,920 Speaker 1: was like a bit of a battle. But Peter Tree 970 00:45:42,000 --> 00:45:44,759 Speaker 1: thinks exercises the answer to longevity, like you thinks it 971 00:45:44,800 --> 00:45:48,840 Speaker 1: solves everything. But Walker was talking about sleep being the answer. 972 00:45:49,400 --> 00:45:52,439 Speaker 1: And it was actually quite a good dynamic because they're 973 00:45:52,560 --> 00:45:54,880 Speaker 1: obviously both really important and by the way, if you 974 00:45:54,920 --> 00:45:57,160 Speaker 1: can't sleep, you end up dying anyway. So if you 975 00:45:57,280 --> 00:45:59,799 Speaker 1: yet don't excise, you don't necessarily die. You might over 976 00:46:00,320 --> 00:46:02,600 Speaker 1: a bit quicker than you would ordinarily, but definitely if 977 00:46:02,600 --> 00:46:04,960 Speaker 1: you don't sleep, you're dead or don't get the rider 978 00:46:05,040 --> 00:46:06,040 Speaker 1: man right off sleep. 979 00:46:06,520 --> 00:46:09,680 Speaker 2: How important is no you die from You die from 980 00:46:09,760 --> 00:46:13,560 Speaker 2: sleep their privation sooner than from starvation. Yeah. 981 00:46:14,080 --> 00:46:16,279 Speaker 1: Yeah, and it has been known as to be a 982 00:46:16,360 --> 00:46:20,239 Speaker 1: torture all through history. How important in terms of your 983 00:46:20,280 --> 00:46:24,399 Speaker 1: business is it to get these big headline endorsements because 984 00:46:25,440 --> 00:46:29,680 Speaker 1: you know, like people saying this thing works. How important? 985 00:46:29,719 --> 00:46:31,400 Speaker 1: How beneficial has that been to your business? 986 00:46:31,520 --> 00:46:33,440 Speaker 3: Yeah, it's pretty big. It is a big part of 987 00:46:33,520 --> 00:46:36,920 Speaker 3: our strategy and how we communicate the product because for us, 988 00:46:37,080 --> 00:46:39,600 Speaker 3: we built a new category. When we started the company 989 00:46:39,680 --> 00:46:41,640 Speaker 3: ten years ago, no one was going to the internet 990 00:46:41,719 --> 00:46:44,480 Speaker 3: search for sleep technology. There was no Apple Watch, there 991 00:46:44,600 --> 00:46:46,799 Speaker 3: was no Whoop or none of these companies that also 992 00:46:46,840 --> 00:46:49,080 Speaker 3: talk about sleep and recovery. So it was like a 993 00:46:49,320 --> 00:46:52,239 Speaker 3: very nascent topic to do anything around tracking things for 994 00:46:52,360 --> 00:46:55,600 Speaker 3: your sleep. So you can imagine how long it took 995 00:46:55,719 --> 00:46:59,200 Speaker 3: for just just to build the awareness on people that 996 00:46:59,440 --> 00:47:02,160 Speaker 3: something like that existed and that it could be beneficial 997 00:47:02,239 --> 00:47:03,840 Speaker 3: for your sleep. So now when you look at it 998 00:47:03,920 --> 00:47:07,240 Speaker 3: ten years later, we've build a category. People know about 999 00:47:07,239 --> 00:47:09,759 Speaker 3: sleep fitness, they invest in technology for sleep, and so 1000 00:47:10,760 --> 00:47:12,880 Speaker 3: it is still important for us to bring on board 1001 00:47:13,000 --> 00:47:16,560 Speaker 3: the voices of those that are trusted and they've earned 1002 00:47:16,600 --> 00:47:18,640 Speaker 3: their trust. That's also important for us. So we work 1003 00:47:18,680 --> 00:47:21,120 Speaker 3: with individuals that have earned their trust. It's actually not easy. 1004 00:47:21,160 --> 00:47:22,799 Speaker 3: You don't go there and pay them to say these 1005 00:47:22,840 --> 00:47:25,600 Speaker 3: things about your product. It takes years for them to 1006 00:47:25,760 --> 00:47:28,279 Speaker 3: just you know, use it to they vett it. They 1007 00:47:28,480 --> 00:47:30,440 Speaker 3: for them, their name carries a lot of weight and 1008 00:47:30,600 --> 00:47:33,520 Speaker 3: so it has made a big difference in two dimensions. 1009 00:47:33,560 --> 00:47:36,000 Speaker 3: Of course, the awareness people know them, they see their 1010 00:47:36,080 --> 00:47:38,279 Speaker 3: faces associated to aid sleep, they trust us more and 1011 00:47:38,360 --> 00:47:40,680 Speaker 3: they give us their money and they keep us in business, 1012 00:47:40,719 --> 00:47:43,040 Speaker 3: which is great. But then also what Matil was referring to, 1013 00:47:43,080 --> 00:47:45,680 Speaker 3: which is they are a key component of connecting us 1014 00:47:45,760 --> 00:47:48,800 Speaker 3: to the research that they're seeing what they're seeing in 1015 00:47:48,840 --> 00:47:52,279 Speaker 3: their practice, and there's products that then we can develop together. 1016 00:47:52,280 --> 00:47:54,360 Speaker 3: There's features we can develop together. So it helps a 1017 00:47:54,400 --> 00:47:57,160 Speaker 3: business in those two key ways. And is. 1018 00:47:59,000 --> 00:48:01,600 Speaker 1: Picking on another big name is ze or Musk involved 1019 00:48:01,680 --> 00:48:03,279 Speaker 1: you guys? Is he somehow I've got a he's he 1020 00:48:03,280 --> 00:48:06,720 Speaker 1: got an ad sleep he's not involved in the company, 1021 00:48:06,840 --> 00:48:09,200 Speaker 1: but he uses the product. Then I use the product. 1022 00:48:09,719 --> 00:48:11,960 Speaker 2: Yeah, and this is public that that's why I can 1023 00:48:12,040 --> 00:48:16,000 Speaker 2: share it. And he raved about the product publicly seeing 1024 00:48:16,040 --> 00:48:18,040 Speaker 2: Mark Vackenberg, he did it publicly. 1025 00:48:18,200 --> 00:48:20,640 Speaker 1: So it's another So they're going to wrestle between that's 1026 00:48:20,840 --> 00:48:21,560 Speaker 1: going to each other. 1027 00:48:21,880 --> 00:48:25,839 Speaker 2: Yeah, they're trying to get the any inch of an 1028 00:48:26,000 --> 00:48:27,440 Speaker 2: extreme performance. 1029 00:48:27,680 --> 00:48:30,080 Speaker 1: Because they're they're they're both because I know one of 1030 00:48:30,120 --> 00:48:34,120 Speaker 1: my friends Alex Volkanowski is who's UFC champion, uh has 1031 00:48:34,200 --> 00:48:37,560 Speaker 1: been training Zuckerberg, has trained Zuckerberg, and Musk has got 1032 00:48:37,600 --> 00:48:40,080 Speaker 1: somebody else can But there's a bit of a weight 1033 00:48:40,120 --> 00:48:42,560 Speaker 1: difference between the two. But your your point is very 1034 00:48:42,560 --> 00:48:46,520 Speaker 1: important because like these individuals, everything is about one percent. 1035 00:48:47,120 --> 00:48:49,560 Speaker 1: The one percent is even when it comes to if 1036 00:48:49,600 --> 00:48:51,760 Speaker 1: they wrestle each other or if they do wrestle somebody, 1037 00:48:52,600 --> 00:48:56,600 Speaker 1: it's about getting the best coach, b having the right 1038 00:48:56,640 --> 00:49:01,040 Speaker 1: of man, nutrition, exercising the right way, and probably sleeping 1039 00:49:01,120 --> 00:49:02,799 Speaker 1: the right And. 1040 00:49:02,840 --> 00:49:05,720 Speaker 2: Then we have hundreds of athletes, right Formula one drivers, 1041 00:49:06,320 --> 00:49:09,520 Speaker 2: Louis Hamilton, George Russell, charce La Clerk, all of them 1042 00:49:09,560 --> 00:49:12,440 Speaker 2: they sleep on our products. Sixty seventy percent of Formala 1043 00:49:12,480 --> 00:49:16,680 Speaker 2: one drivers sleep on our product, NBA players, tennis players, 1044 00:49:16,719 --> 00:49:19,520 Speaker 2: a lot of the top ten. Also, Taylor Fritz is 1045 00:49:19,560 --> 00:49:22,360 Speaker 2: one of our athletes and he won the gold medal 1046 00:49:23,080 --> 00:49:26,800 Speaker 2: this year the Olympics and he's in the bronze the 1047 00:49:26,880 --> 00:49:30,080 Speaker 2: bronze medal and yeah, so almost. 1048 00:49:29,960 --> 00:49:33,520 Speaker 3: Quickly, yeah, making sure he doesn't get. 1049 00:49:36,000 --> 00:49:39,799 Speaker 2: Is who won the gold and Alcarra's second. But yeah, 1050 00:49:39,840 --> 00:49:44,279 Speaker 2: so athletes and CEOs, I would say eighty percent of 1051 00:49:44,480 --> 00:49:47,440 Speaker 2: CEOs in Silicon Ballet, all of them they sleep on 1052 00:49:47,520 --> 00:49:48,040 Speaker 2: our product. 1053 00:49:48,360 --> 00:49:51,000 Speaker 1: So why you guys hear austrain now because this is 1054 00:49:51,080 --> 00:49:54,160 Speaker 1: fantastic to get some like yourselves with such an important 1055 00:49:54,200 --> 00:49:58,120 Speaker 1: product with such a global reach on a shoes. But 1056 00:49:58,239 --> 00:49:59,719 Speaker 1: he guys doing hero astrain at the moment. 1057 00:50:00,239 --> 00:50:02,440 Speaker 3: So we've been selling our products in Australia for a 1058 00:50:02,480 --> 00:50:06,279 Speaker 3: bit and it's actually a pretty fast growing market for us. 1059 00:50:06,480 --> 00:50:08,640 Speaker 3: I think it seems to align with just the general 1060 00:50:08,719 --> 00:50:12,359 Speaker 3: interest in Australian people who love to stay healthy, who 1061 00:50:12,400 --> 00:50:15,680 Speaker 3: want to be fit. We're seeing tremendous growth here and 1062 00:50:16,640 --> 00:50:19,440 Speaker 3: we thought, well, why not visit and just see how 1063 00:50:19,560 --> 00:50:23,319 Speaker 3: people are living sleep, fitness and wellness and understand more 1064 00:50:23,360 --> 00:50:26,719 Speaker 3: about our customers here and we've been loving it. I 1065 00:50:26,760 --> 00:50:29,160 Speaker 3: think it's it's been a pleasant surprise to just see 1066 00:50:29,239 --> 00:50:33,120 Speaker 3: like how people are embracing wellness here in a way 1067 00:50:33,320 --> 00:50:35,640 Speaker 3: that is different from how we do it in the US. 1068 00:50:35,840 --> 00:50:39,160 Speaker 3: But it seems to be very much around outdoors and 1069 00:50:39,320 --> 00:50:43,239 Speaker 3: fun and social and that's why I think Gates Sleep 1070 00:50:43,320 --> 00:50:44,880 Speaker 3: is resonating. So we want to we want to keep 1071 00:50:44,880 --> 00:50:47,080 Speaker 3: investing in the market. We want to keep bringing our 1072 00:50:47,120 --> 00:50:49,359 Speaker 3: products here beyond the pod, So there's other products we're 1073 00:50:49,360 --> 00:50:50,800 Speaker 3: working on that I think we're going to be bringing 1074 00:50:50,840 --> 00:50:51,319 Speaker 3: on here too. 1075 00:50:51,640 --> 00:50:57,360 Speaker 1: It's interesting because this whole you know, living longer and 1076 00:50:57,520 --> 00:51:02,360 Speaker 1: living better has been embraced in Australia. I mean I 1077 00:51:02,520 --> 00:51:05,200 Speaker 1: was at a function more recently where we're able to 1078 00:51:05,280 --> 00:51:09,239 Speaker 1: get It's called Soon's Hearts and Minds Conference. It's the 1079 00:51:09,280 --> 00:51:12,400 Speaker 1: biggest conference in Australia for investors where everybody gets an 1080 00:51:12,440 --> 00:51:15,320 Speaker 1: opportunity to get up and pitch the stock the listed 1081 00:51:15,480 --> 00:51:19,920 Speaker 1: the public listed stock that they recommend. It's like a 1082 00:51:20,000 --> 00:51:22,400 Speaker 1: really big deal happens once a year and they were 1083 00:51:22,440 --> 00:51:24,960 Speaker 1: able to bring out Peter a tier for that and 1084 00:51:26,080 --> 00:51:30,680 Speaker 1: it actually increased I got an invitation it actually increased 1085 00:51:30,680 --> 00:51:33,640 Speaker 1: the numbers of attendance by a huge amount just because 1086 00:51:33,680 --> 00:51:35,440 Speaker 1: Peter a teer was there. These are all people who 1087 00:51:35,520 --> 00:51:39,040 Speaker 1: are you know, they're making money, they've sort of probably 1088 00:51:39,239 --> 00:51:43,440 Speaker 1: forty plus a lot of males, I guess, but they 1089 00:51:43,480 --> 00:51:46,200 Speaker 1: are performance orientated. That these are the people who would 1090 00:51:46,239 --> 00:51:48,359 Speaker 1: have been sleeping four hours a night in the old 1091 00:51:48,440 --> 00:51:51,080 Speaker 1: days on the floor now trying to get eight hour 1092 00:51:51,120 --> 00:51:53,400 Speaker 1: sleep so they can perform better, and they'd lead teams, 1093 00:51:53,440 --> 00:51:55,880 Speaker 1: et cetera. And the tea was on that and that 1094 00:51:56,040 --> 00:51:58,400 Speaker 1: was held in this I think it was October November 1095 00:51:58,480 --> 00:52:05,880 Speaker 1: last year. And Australians are embracing big time longevity. Longevity 1096 00:52:05,960 --> 00:52:08,840 Speaker 1: not so much in living longer, but living better or 1097 00:52:08,920 --> 00:52:11,520 Speaker 1: living optimization aither. 1098 00:52:11,160 --> 00:52:13,680 Speaker 2: A myology one versus the lifespun right. 1099 00:52:13,760 --> 00:52:16,720 Speaker 1: Yeah, lifespan versus health span or both hopefully. 1100 00:52:16,960 --> 00:52:19,759 Speaker 2: I mean it is less about extending your not the 1101 00:52:19,880 --> 00:52:22,399 Speaker 2: length of your life. Is just more about being healthy 1102 00:52:22,480 --> 00:52:23,279 Speaker 2: until the last dree. 1103 00:52:23,440 --> 00:52:25,120 Speaker 1: Yeah, you know, I have a think all project and 1104 00:52:25,120 --> 00:52:26,960 Speaker 1: one hundred. I put up a post recently and I 1105 00:52:27,080 --> 00:52:29,440 Speaker 1: did a calculation based on the average agent in Australian 1106 00:52:29,480 --> 00:52:32,480 Speaker 1: male that how many Christmases I've got left to go. 1107 00:52:32,520 --> 00:52:33,879 Speaker 1: How many birthdays I got left to go? How many 1108 00:52:33,920 --> 00:52:36,920 Speaker 1: Grand finals have got left to go for my beloved 1109 00:52:37,000 --> 00:52:42,000 Speaker 1: Rugby League GAT team, And I've got twelve? Well that's 1110 00:52:42,040 --> 00:52:43,680 Speaker 1: not very long that I was there. 1111 00:52:43,719 --> 00:52:46,600 Speaker 2: I I will challenge that. 1112 00:52:47,200 --> 00:52:50,800 Speaker 1: I know, I'm manager. That's the statistical Yeah, just the average, 1113 00:52:51,040 --> 00:52:53,160 Speaker 1: Just a statistical call, because the averages raight male is 1114 00:52:53,239 --> 00:52:58,080 Speaker 1: ready one and actually and I and genetically I should 1115 00:52:58,120 --> 00:53:00,640 Speaker 1: live longer than that because both my parents did. But 1116 00:53:01,000 --> 00:53:02,680 Speaker 1: I've just put it out there for people to think 1117 00:53:02,719 --> 00:53:03,080 Speaker 1: about it. 1118 00:53:03,200 --> 00:53:05,719 Speaker 2: Yeah. Yeah, he's a great framework if you started thinking 1119 00:53:05,760 --> 00:53:08,960 Speaker 2: about the number of Christmas and Summer's huddle after based 1120 00:53:09,000 --> 00:53:10,880 Speaker 2: on statistical as. 1121 00:53:10,480 --> 00:53:14,200 Speaker 1: It's not very long. But my point was I'm thinking 1122 00:53:14,200 --> 00:53:16,800 Speaker 1: about it, and don't leave it to my age to 1123 00:53:16,800 --> 00:53:19,359 Speaker 1: start thinking about it. Think about it now. And if 1124 00:53:19,400 --> 00:53:22,280 Speaker 1: you're insteadventy six eight or forty eight, you've got another 1125 00:53:23,239 --> 00:53:26,480 Speaker 1: twenty on top of that. Perhaps, But these things are 1126 00:53:27,200 --> 00:53:30,120 Speaker 1: given to us by somebody as a gift. You've got 1127 00:53:30,160 --> 00:53:32,239 Speaker 1: to make sure you optimize every single one of them 1128 00:53:32,440 --> 00:53:34,120 Speaker 1: and enjoy every single one of them. And part of 1129 00:53:34,200 --> 00:53:37,759 Speaker 1: that is having a good strategy like sleep. Sleep is 1130 00:53:37,840 --> 00:53:41,240 Speaker 1: part of the strategy for me. And I haven't really 1131 00:53:42,000 --> 00:53:44,960 Speaker 1: up until more recently been thinking about and trying to 1132 00:53:45,080 --> 00:53:49,400 Speaker 1: understand eight hours, seven hours, six hours interrupted sleep, not 1133 00:53:49,520 --> 00:53:53,879 Speaker 1: interrupted sleep, write temperatures, and I think most Astralians don't 1134 00:53:53,880 --> 00:53:56,040 Speaker 1: think that way. I think they know they should have 1135 00:53:56,239 --> 00:54:00,640 Speaker 1: seven or eight hours, but they don't know about deep sleep, 1136 00:54:00,800 --> 00:54:05,800 Speaker 1: ram sleep, temperature controls. And okay, let's get into measurement, 1137 00:54:06,800 --> 00:54:09,479 Speaker 1: because if I've got to manage my sleep, I can't 1138 00:54:09,560 --> 00:54:12,720 Speaker 1: manage what I can't measure. No one can. In business. 1139 00:54:13,320 --> 00:54:15,719 Speaker 1: If you can't measure it, you can't manage it. So 1140 00:54:16,160 --> 00:54:18,960 Speaker 1: if the business is right now, I mean I've got businesses, 1141 00:54:19,000 --> 00:54:22,120 Speaker 1: but if the business of Mark Boris is to live 1142 00:54:22,239 --> 00:54:25,920 Speaker 1: longer and better or optimize, then I've got to measure 1143 00:54:25,920 --> 00:54:29,719 Speaker 1: it before I can manage it. And this is a 1144 00:54:29,880 --> 00:54:32,360 Speaker 1: great this is a really important I can go to 1145 00:54:32,360 --> 00:54:34,440 Speaker 1: the gym, measure what weight it's going to do my 1146 00:54:34,520 --> 00:54:36,839 Speaker 1: body weight? Can I jump this high? And all sort 1147 00:54:36,840 --> 00:54:39,279 Speaker 1: of stuff that. That stuff's easy. But sleep is a 1148 00:54:39,360 --> 00:54:42,960 Speaker 1: bit is a bit mysterious. Is that sort of where 1149 00:54:43,040 --> 00:54:47,240 Speaker 1: you guys are at taking the mystery out by putting 1150 00:54:47,320 --> 00:54:48,040 Speaker 1: numbers around it. 1151 00:54:48,320 --> 00:54:50,239 Speaker 2: We're thinking to their mansion. Some one say that we 1152 00:54:50,280 --> 00:54:53,359 Speaker 2: want to measure it everything, but very soon you will 1153 00:54:53,400 --> 00:54:56,680 Speaker 2: get to a point of so what right, So okay, 1154 00:54:56,880 --> 00:54:59,040 Speaker 2: this is my percentage of deep sleep, this is my 1155 00:54:59,120 --> 00:55:01,840 Speaker 2: percentage of and this main sleep quality. It is not 1156 00:55:01,960 --> 00:55:04,800 Speaker 2: good and so what? And so the big difference between 1157 00:55:04,920 --> 00:55:07,080 Speaker 2: us and all the wearables is that then we take 1158 00:55:07,200 --> 00:55:10,080 Speaker 2: action for you and we do things to improve sleep 1159 00:55:10,120 --> 00:55:12,360 Speaker 2: for you. And that is the big difference. And that 1160 00:55:12,520 --> 00:55:15,680 Speaker 2: is also why we don't see wearables as competitors for us, 1161 00:55:15,800 --> 00:55:17,719 Speaker 2: that they are the best thing that could be out 1162 00:55:17,760 --> 00:55:20,440 Speaker 2: there because they are cheaper and they educate customers and 1163 00:55:20,480 --> 00:55:23,279 Speaker 2: then people start thinking, oh wow, my sleep is not good, 1164 00:55:23,640 --> 00:55:25,520 Speaker 2: Now how do I improve it? And that is when 1165 00:55:25,600 --> 00:55:26,360 Speaker 2: it sleep comes in. 1166 00:55:26,960 --> 00:55:31,480 Speaker 1: And that's a really good point, mao. Because someone I'm 1167 00:55:31,560 --> 00:55:34,319 Speaker 1: off a measurement, I'm off wearing wearables and or rings, 1168 00:55:34,360 --> 00:55:36,000 Speaker 1: et cetera. And I get it, and some people are 1169 00:55:36,040 --> 00:55:39,719 Speaker 1: obsessed by that stuff. But for me, one of the 1170 00:55:39,760 --> 00:55:42,279 Speaker 1: things I said to somebody more recently, well, I know 1171 00:55:42,360 --> 00:55:44,480 Speaker 1: if I've had a bad sleep, I don't need a 1172 00:55:44,600 --> 00:55:47,200 Speaker 1: ring to tell me or something else to tell me 1173 00:55:47,280 --> 00:55:48,800 Speaker 1: that I had a shitty sleep last night, or I 1174 00:55:48,920 --> 00:55:52,239 Speaker 1: wake up three times, and you know, and I wake 1175 00:55:52,320 --> 00:55:56,160 Speaker 1: up FELM, pretty crap. What I think what you're saying 1176 00:55:56,440 --> 00:55:58,080 Speaker 1: is that you're doing something about. 1177 00:55:57,880 --> 00:56:02,160 Speaker 2: It, correct, and that the whole number one principal at 1178 00:56:02,239 --> 00:56:05,960 Speaker 2: eight sleep is the data is just the first step. 1179 00:56:06,040 --> 00:56:09,400 Speaker 2: But what a sleep does is we seamlessly improve sleep 1180 00:56:09,520 --> 00:56:11,960 Speaker 2: for you. We do the job for you. It's actually 1181 00:56:12,000 --> 00:56:14,839 Speaker 2: one of our values. We do the job for you. Yeah. 1182 00:56:14,880 --> 00:56:18,000 Speaker 1: So, like it's interesting you said, so what relations to 1183 00:56:18,040 --> 00:56:21,840 Speaker 1: the data? Maybe that's the problem you're solving. You're solving 1184 00:56:21,920 --> 00:56:23,200 Speaker 1: the so what correct? 1185 00:56:23,920 --> 00:56:24,120 Speaker 3: For me? 1186 00:56:24,200 --> 00:56:24,840 Speaker 1: It was a problem? 1187 00:56:25,680 --> 00:56:26,880 Speaker 2: So what I know? 1188 00:56:27,000 --> 00:56:27,799 Speaker 1: I didn't sleep very well. 1189 00:56:27,840 --> 00:56:29,560 Speaker 2: Yeah, I can track all this sleep. But if my 1190 00:56:29,680 --> 00:56:30,840 Speaker 2: sleep is crap, so what? 1191 00:56:31,200 --> 00:56:31,399 Speaker 1: Yeah? 1192 00:56:32,440 --> 00:56:34,120 Speaker 2: And so actually we have what we call a wall 1193 00:56:34,160 --> 00:56:36,240 Speaker 2: of love. So it's a link to a web page 1194 00:56:36,360 --> 00:56:39,520 Speaker 2: whereas there is plenty of people wearing Anora or a 1195 00:56:39,560 --> 00:56:42,080 Speaker 2: Whoop or other wellables that you're important to have, which 1196 00:56:42,120 --> 00:56:44,759 Speaker 2: is important you have, and they past the screenshot of 1197 00:56:45,000 --> 00:56:49,359 Speaker 2: their Aura Whoop and Apple data before and after using 1198 00:56:49,440 --> 00:56:52,600 Speaker 2: our product, and that is the best marketing ever because 1199 00:56:52,640 --> 00:56:55,400 Speaker 2: they had the score of let's say sixty. Then they 1200 00:56:55,440 --> 00:56:57,800 Speaker 2: start using a sleep and the score goes to eighty. 1201 00:56:58,320 --> 00:57:01,680 Speaker 2: Or they travel and they measure their sleep when they're traveling, 1202 00:57:01,719 --> 00:57:04,160 Speaker 2: when they're back home, and when they travel without the pod, 1203 00:57:04,600 --> 00:57:06,520 Speaker 2: they get their fifty five and with the pod they 1204 00:57:06,600 --> 00:57:09,320 Speaker 2: go back to eighty. And this is not our tracking, 1205 00:57:09,719 --> 00:57:11,800 Speaker 2: is a third party device tracking. But that is the 1206 00:57:11,880 --> 00:57:14,520 Speaker 2: best advertising ever because it's not a sleep telling you 1207 00:57:14,640 --> 00:57:17,160 Speaker 2: that we improve your sleep. Is your wearable telling you 1208 00:57:17,320 --> 00:57:18,480 Speaker 2: that you are improving. 1209 00:57:20,000 --> 00:57:23,520 Speaker 1: Someone like me travel a lot easier a period. It 1210 00:57:23,560 --> 00:57:25,160 Speaker 1: can be a period of time in terms of your 1211 00:57:25,360 --> 00:57:29,400 Speaker 1: plans where you can see yourself, say doing a deal 1212 00:57:29,480 --> 00:57:32,320 Speaker 1: with one of the big hotel groups high I'm going 1213 00:57:32,360 --> 00:57:35,760 Speaker 1: to say American one for whatever it is, and where 1214 00:57:35,840 --> 00:57:38,680 Speaker 1: I can go and get They say, Mark, if you 1215 00:57:38,720 --> 00:57:40,600 Speaker 1: come and stay at our hotel for an extra fifty 1216 00:57:40,640 --> 00:57:44,240 Speaker 1: bucks a night or whatever it is, you can use 1217 00:57:44,320 --> 00:57:47,600 Speaker 1: the eight Sleep product on our beds, on their beds. 1218 00:57:48,040 --> 00:57:51,360 Speaker 3: Yeah, yeah, I mean it should be right, and I 1219 00:57:51,400 --> 00:57:53,480 Speaker 3: think it should be these hotel groups that are thinking 1220 00:57:53,480 --> 00:57:55,800 Speaker 3: about it, because you basically paid to go sleep somewhere else. 1221 00:57:55,880 --> 00:57:57,240 Speaker 3: So it is the most important thing. 1222 00:57:57,480 --> 00:57:59,480 Speaker 1: And that's when I sleep the worst. Yes, when I'm 1223 00:57:59,520 --> 00:58:03,600 Speaker 1: in a hotel because it's got a conditioning. I generally speaking, 1224 00:58:03,600 --> 00:58:05,400 Speaker 1: I walk in the room. I've either got turned because 1225 00:58:05,400 --> 00:58:08,480 Speaker 1: I hate condition going at night. If it's freezing cold outside, 1226 00:58:08,480 --> 00:58:11,240 Speaker 1: it's too hot and dry inside. If it's boiling height 1227 00:58:11,280 --> 00:58:13,320 Speaker 1: outside it's freezing colding on the inside, like both which 1228 00:58:13,360 --> 00:58:17,160 Speaker 1: I don't don't enjoy. And and it's sort of like 1229 00:58:17,560 --> 00:58:19,880 Speaker 1: a one size fits also in other words, every room 1230 00:58:20,040 --> 00:58:26,040 Speaker 1: it's got the same temperature. And having an eight sleep mattress. 1231 00:58:26,480 --> 00:58:28,360 Speaker 1: What do you call the pod? Is that we call 1232 00:58:28,480 --> 00:58:30,800 Speaker 1: a pod an a sleep pod, which is basically just 1233 00:58:30,840 --> 00:58:33,960 Speaker 1: a mattress covered with you some tech around it. Not basically, 1234 00:58:34,000 --> 00:58:35,840 Speaker 1: but that's what it is that I don't don't people 1235 00:58:35,880 --> 00:58:40,040 Speaker 1: get confused, but that can actually maintain what I want 1236 00:58:40,480 --> 00:58:42,560 Speaker 1: to do, and I can just turn all the other 1237 00:58:42,600 --> 00:58:45,200 Speaker 1: ship off. And if I knew there was a hotel 1238 00:58:45,240 --> 00:58:48,440 Speaker 1: group that did this specifically in Australia, for example, when 1239 00:58:48,480 --> 00:58:52,840 Speaker 1: I travel interstate every month every week, I would use 1240 00:58:52,920 --> 00:58:53,560 Speaker 1: those hotels. 1241 00:58:54,000 --> 00:58:56,040 Speaker 2: I'll tell you two things you were like, the biggest 1242 00:58:56,080 --> 00:58:59,240 Speaker 2: aha moment for what customers is the first time they travel, 1243 00:58:59,640 --> 00:59:02,200 Speaker 2: because they get so used to it. I'm thinking, yeah, 1244 00:59:02,360 --> 00:59:04,440 Speaker 2: the first time they travel is when they've write us. 1245 00:59:04,480 --> 00:59:07,320 Speaker 2: They write to customer support and say I didn't realize 1246 00:59:07,720 --> 00:59:10,360 Speaker 2: how great they sleep is until when I travel. The 1247 00:59:10,480 --> 00:59:13,920 Speaker 2: most requested feature is the travel pod because they struggle 1248 00:59:13,960 --> 00:59:14,479 Speaker 2: when they travel. 1249 00:59:14,640 --> 00:59:15,360 Speaker 1: Is there a travel pod? 1250 00:59:16,440 --> 00:59:17,120 Speaker 2: It is not yet. 1251 00:59:17,880 --> 00:59:19,080 Speaker 1: Can you organize? 1252 00:59:19,280 --> 00:59:19,440 Speaker 2: Yeah? 1253 00:59:19,640 --> 00:59:22,360 Speaker 1: For me, I would send it in advance. What would 1254 00:59:22,360 --> 00:59:24,160 Speaker 1: be good if I could buy another one and I 1255 00:59:24,200 --> 00:59:27,200 Speaker 1: could say, listen, I always stay at this hotel in Melbourne. 1256 00:59:27,720 --> 00:59:30,040 Speaker 1: Send it there and I can store for me. Mister 1257 00:59:30,080 --> 00:59:32,080 Speaker 1: Borses is coming. I'm happy to pay for it and 1258 00:59:32,160 --> 00:59:33,800 Speaker 1: put it on his bed. But why not? 1259 00:59:34,160 --> 00:59:34,360 Speaker 2: Yeah? 1260 00:59:34,840 --> 00:59:37,320 Speaker 1: It sounds small bright, but at the end of the day, 1261 00:59:37,480 --> 00:59:38,840 Speaker 1: like it's good for business. 1262 00:59:39,040 --> 00:59:41,240 Speaker 2: Yeah, if you are going there for business and we 1263 00:59:41,360 --> 00:59:45,400 Speaker 2: can give you twenty percent more sharpness, no mental sharpness, 1264 00:59:45,840 --> 00:59:46,360 Speaker 2: you need it. 1265 00:59:46,680 --> 00:59:51,000 Speaker 3: So I have athletes to do that, so yeah, yeah, drivers. 1266 00:59:50,920 --> 00:59:53,200 Speaker 2: We have a team. For some of them, we go 1267 00:59:53,320 --> 00:59:55,280 Speaker 2: and we install it in all the races. For some 1268 00:59:55,400 --> 00:59:57,960 Speaker 2: of our tennis players, for the Grand Slam, we install 1269 00:59:58,040 --> 01:00:01,280 Speaker 2: them the pod. With Taylor Freetz. For the Olympics, we 1270 01:00:01,480 --> 01:00:03,560 Speaker 2: sent one of our guy to install the pods so 1271 01:00:03,720 --> 01:00:05,040 Speaker 2: Taylor could sleep on the parties. 1272 01:00:05,120 --> 01:00:07,760 Speaker 3: Actually had a custom sized pot because the beds in 1273 01:00:07,840 --> 01:00:09,920 Speaker 3: the village were not a size that we make, and 1274 01:00:10,040 --> 01:00:12,400 Speaker 3: so our team made a custom sized pot for him 1275 01:00:12,400 --> 01:00:13,960 Speaker 3: and a few other athletes and they took it into 1276 01:00:13,960 --> 01:00:16,600 Speaker 3: the Olympic village and used it and then you know 1277 01:00:16,680 --> 01:00:17,920 Speaker 3: they win medals and that's amazing. 1278 01:00:18,320 --> 01:00:20,040 Speaker 1: Well maybe it's funny, you know, because I was just 1279 01:00:20,120 --> 01:00:23,880 Speaker 1: thinking about roscial media, thinking how do you develop your business? 1280 01:00:23,920 --> 01:00:25,800 Speaker 1: But I was seeing in Australia as a mob called 1281 01:00:25,880 --> 01:00:28,720 Speaker 1: Koala Mattresses is like the mates of mine sort of 1282 01:00:29,040 --> 01:00:31,480 Speaker 1: set up and they've sold this now private cre own it, 1283 01:00:31,520 --> 01:00:33,640 Speaker 1: but it doesn't matter. But they're really good because like 1284 01:00:33,720 --> 01:00:36,960 Speaker 1: you ream up and you know, email them or go online, 1285 01:00:37,040 --> 01:00:39,000 Speaker 1: you can get the stuff delivered you really quickly. It's 1286 01:00:39,040 --> 01:00:40,920 Speaker 1: in a really easy box, not like a big mattress 1287 01:00:40,960 --> 01:00:42,280 Speaker 1: or a delivery. When you take about the box, it 1288 01:00:42,320 --> 01:00:44,760 Speaker 1: sort of expands, it becomes a mattress. And they're pretty 1289 01:00:44,800 --> 01:00:47,080 Speaker 1: good price. But if you teamed up with something like that, 1290 01:00:47,400 --> 01:00:49,120 Speaker 1: you know, I go by a Cola Mattress and I 1291 01:00:49,200 --> 01:00:51,280 Speaker 1: want to put it in my farm. We're talking about 1292 01:00:51,280 --> 01:00:53,640 Speaker 1: Byron Bay earlier on before we're recording, and I have 1293 01:00:53,720 --> 01:00:56,080 Speaker 1: a farm up there, like a little resort there, and 1294 01:00:57,960 --> 01:01:00,520 Speaker 1: I got all Cooala mattresses every every room, like no 1295 01:01:00,880 --> 01:01:04,040 Speaker 1: mean fifteen rooms whatever we got there, and you know, 1296 01:01:04,120 --> 01:01:07,360 Speaker 1: if I was given an option to put a sleep 1297 01:01:07,400 --> 01:01:10,720 Speaker 1: on there, I would and say to guess, you're going 1298 01:01:10,800 --> 01:01:13,000 Speaker 1: to go to the best sleep of your life. When 1299 01:01:13,040 --> 01:01:15,600 Speaker 1: you wake up in the morning, you're going to feel refreshed, 1300 01:01:15,600 --> 01:01:17,840 Speaker 1: and you're going to enjoy the Byron Bay weather and 1301 01:01:18,920 --> 01:01:21,640 Speaker 1: stand on the grass and you know, get some minerals 1302 01:01:21,680 --> 01:01:23,640 Speaker 1: into your system and you're going to come back from 1303 01:01:23,680 --> 01:01:28,800 Speaker 1: your Byron Bay break like Godzilla. You can take on 1304 01:01:28,880 --> 01:01:32,680 Speaker 1: the world. I mean, I would do that, maybe partnership 1305 01:01:32,760 --> 01:01:36,600 Speaker 1: with some of these mattress providers here in Australia, because 1306 01:01:36,600 --> 01:01:39,640 Speaker 1: I reckon that's fantastic. I mean, like and people, I 1307 01:01:39,720 --> 01:01:41,920 Speaker 1: don't know what it is. Maybe I'm sure you know. 1308 01:01:42,320 --> 01:01:44,920 Speaker 1: Why is it we take for granted our sleep? 1309 01:01:46,400 --> 01:01:49,000 Speaker 2: Why is that? Because I think there is this legacy 1310 01:01:49,080 --> 01:01:50,760 Speaker 2: of what you were saying, right, you and I we 1311 01:01:50,840 --> 01:01:55,800 Speaker 2: grew up with in this environment where sleeping or sleeping 1312 01:01:55,920 --> 01:01:59,080 Speaker 2: too much was weak. Well, instead sleeping very little was 1313 01:01:59,480 --> 01:02:03,000 Speaker 2: strong match well. Instead, this is completely different now, right 1314 01:02:03,120 --> 01:02:05,160 Speaker 2: when we go out with our team, they don't drink 1315 01:02:05,240 --> 01:02:07,560 Speaker 2: at dinner. No one orders a cocktail. We don't. We 1316 01:02:07,640 --> 01:02:10,080 Speaker 2: don't drink either right now there is yeah. 1317 01:02:10,000 --> 01:02:12,240 Speaker 1: Although I'm a whiskey business, which is beig crazy. 1318 01:02:13,200 --> 01:02:15,920 Speaker 2: And so now there is this completely and opposite thing 1319 01:02:15,960 --> 01:02:18,040 Speaker 2: where if you're the sea of a public company you 1320 01:02:18,120 --> 01:02:20,240 Speaker 2: say that you sleep only four hours a night, it 1321 01:02:20,320 --> 01:02:22,400 Speaker 2: looks like you're s CEO is not taking care of 1322 01:02:22,760 --> 01:02:25,600 Speaker 2: himself and might die every any day. 1323 01:02:25,680 --> 01:02:28,280 Speaker 1: Well, the insurance policy just went up on you, exactly right. 1324 01:02:28,480 --> 01:02:30,800 Speaker 2: Well, instead, if you say, look, I don't drink as 1325 01:02:30,840 --> 01:02:32,200 Speaker 2: a CEO, and the imagine you are the sea of 1326 01:02:32,240 --> 01:02:34,560 Speaker 2: a public company, I don't drink. I go to the 1327 01:02:34,640 --> 01:02:36,760 Speaker 2: gym and take care of myself and sleep eight hours 1328 01:02:36,800 --> 01:02:39,640 Speaker 2: every single day, then you look like, Okay, this guy 1329 01:02:39,800 --> 01:02:44,360 Speaker 2: is safe. Yeah, it's a thing. He's the right person, 1330 01:02:44,480 --> 01:02:45,520 Speaker 2: he's in the right mindset. 1331 01:02:46,000 --> 01:02:48,920 Speaker 3: It's a business athlete, right. I think it's so common 1332 01:02:49,040 --> 01:02:52,479 Speaker 3: for athletes that are practicing a sport to talk about 1333 01:02:52,520 --> 01:02:54,720 Speaker 3: these things and they're probably the first ones that started 1334 01:02:54,720 --> 01:02:56,960 Speaker 3: talking about it years ago, and how they invested in 1335 01:02:57,000 --> 01:02:59,280 Speaker 3: all the products that they use and their routines and sleep. 1336 01:02:59,800 --> 01:03:01,520 Speaker 3: But we don't realize that each one of us is 1337 01:03:01,560 --> 01:03:05,320 Speaker 3: an everyday athlete. Obviously, for people running business, it's very 1338 01:03:05,400 --> 01:03:07,040 Speaker 3: clear now and there's a lot of conversation about it, 1339 01:03:07,080 --> 01:03:09,320 Speaker 3: but every single person out there, you're an athlete, and 1340 01:03:09,360 --> 01:03:11,040 Speaker 3: you get one body and you get one life, and 1341 01:03:11,160 --> 01:03:13,600 Speaker 3: so why not treat it like you are an athlete 1342 01:03:13,680 --> 01:03:15,000 Speaker 3: and taking care of it the same way. 1343 01:03:15,240 --> 01:03:17,640 Speaker 1: So that's sort of a little bit away from just 1344 01:03:17,760 --> 01:03:21,640 Speaker 1: being a longevity discussion. It's more about today in a 1345 01:03:21,720 --> 01:03:25,160 Speaker 1: transactional sense. Today you're going to perform a certain way. 1346 01:03:25,440 --> 01:03:28,160 Speaker 2: And Jeff Bezos talks about that, and there was an 1347 01:03:28,200 --> 01:03:30,480 Speaker 2: interview where he says, look, I sleep eight hours every 1348 01:03:30,520 --> 01:03:33,160 Speaker 2: single night because my job is to take the two 1349 01:03:33,960 --> 01:03:36,920 Speaker 2: three ride decision every single day, and so I need 1350 01:03:37,040 --> 01:03:40,800 Speaker 2: to be a peak mental performance and sleep is foundational 1351 01:03:40,880 --> 01:03:41,040 Speaker 2: to that. 1352 01:03:41,960 --> 01:03:45,280 Speaker 1: So in other words, we have business athletes as well 1353 01:03:45,320 --> 01:03:47,440 Speaker 1: as someone who wants to live a long time or 1354 01:03:48,360 --> 01:03:51,840 Speaker 1: optimize that period whilst I am leaving in terms of 1355 01:03:51,880 --> 01:03:52,840 Speaker 1: being able to do as many things. 1356 01:03:53,440 --> 01:03:55,800 Speaker 2: Your favorite athlete who was living every night four hours 1357 01:03:56,360 --> 01:04:03,040 Speaker 2: per night. You wouldn't think any executive at a company 1358 01:04:03,440 --> 01:04:06,120 Speaker 2: is a business athlete. They just use their mind to 1359 01:04:06,280 --> 01:04:07,400 Speaker 2: express their performance. 1360 01:04:07,640 --> 01:04:11,160 Speaker 1: So sleep fitness then is sort of part of your mantra. 1361 01:04:11,600 --> 01:04:15,640 Speaker 2: Yeah, it's all about sleep performance. We improve your sleep performance, 1362 01:04:15,680 --> 01:04:19,640 Speaker 2: so then you can use that performance to achieve whatever 1363 01:04:19,680 --> 01:04:21,800 Speaker 2: you want to achieve in your personal and professional life. 1364 01:04:22,040 --> 01:04:26,440 Speaker 1: Well, I'm totally sold, and I'll bet I've got one anyway. 1365 01:04:26,480 --> 01:04:29,520 Speaker 1: But I'm totally sold, and I look forward to sort 1366 01:04:29,560 --> 01:04:31,440 Speaker 1: of giving you a bit of feedback on this stuff 1367 01:04:31,440 --> 01:04:35,840 Speaker 1: because I have been one of those people who have 1368 01:04:37,160 --> 01:04:39,920 Speaker 1: I understand more recently how important sleep is, but I've 1369 01:04:39,960 --> 01:04:41,800 Speaker 1: been one of those people have taken sleep for granted 1370 01:04:43,280 --> 01:04:46,000 Speaker 1: and therefore, and there's now time for me to be 1371 01:04:46,000 --> 01:04:48,920 Speaker 1: a bit more responsible relative to myself and also all 1372 01:04:48,960 --> 01:04:51,320 Speaker 1: my family and everybody else who relies upon me, my staff, 1373 01:04:51,400 --> 01:04:54,880 Speaker 1: my shaholders everything else. And to some extent I want 1374 01:04:54,920 --> 01:04:56,560 Speaker 1: to sort of share with my audience too, because I 1375 01:04:56,600 --> 01:04:58,960 Speaker 1: feel an obligation to share with my audience because I 1376 01:04:59,000 --> 01:05:03,120 Speaker 1: don't think Australians at are as on board with importance 1377 01:05:03,200 --> 01:05:07,320 Speaker 1: of high quality sleep, perhaps as your audience has been 1378 01:05:07,560 --> 01:05:11,560 Speaker 1: in the part is currently and part of my game 1379 01:05:11,720 --> 01:05:14,920 Speaker 1: is to bring interesting people on, like yourselves, who have 1380 01:05:15,000 --> 01:05:17,600 Speaker 1: got a product that's there to solve a problem. The 1381 01:05:17,680 --> 01:05:20,200 Speaker 1: problem gets solved, and my game is to parlay back 1382 01:05:20,240 --> 01:05:21,960 Speaker 1: out and to the audience and tell them what this 1383 01:05:22,040 --> 01:05:23,560 Speaker 1: is what they should be doing, what they could be doing. 1384 01:05:23,600 --> 01:05:25,240 Speaker 1: I won't see what they should do, what they could do. 1385 01:05:25,880 --> 01:05:30,280 Speaker 1: So Alex and Matato, thanks very much. I really appreciate 1386 01:05:30,320 --> 01:05:33,479 Speaker 1: you coming to the studio today. It's been a really 1387 01:05:34,480 --> 01:05:39,400 Speaker 1: for me, thought provoking discussion about a great business at Sleep, 1388 01:05:40,440 --> 01:05:42,520 Speaker 1: a sleep pod and Age sleep mattress, whatever you want 1389 01:05:42,560 --> 01:05:45,800 Speaker 1: to call it, I really thought provoking conversation. I really 1390 01:05:45,800 --> 01:05:46,320 Speaker 1: appreciate it. 1391 01:05:46,400 --> 01:05:48,120 Speaker 2: Thank you, thank you, thank you. 1392 01:06:00,080 --> 01:06:02,920 Speaker 1: To do, to Do, to Do,