Lenny's Podcast: Product | Career | Growth
00:19:51 · Tony Fadell
[00:19:51] S0: Oh, for sure. For sure. People keep asking me, "Are we going to get it?" It's like, no, absolutely. Now's the time if this isn't already happening. I'm actually getting business plans of people who are like, "Hey, is this interesting to you? Want to invest in it? You want to come and help us build it? This is like Nest 2.0." So they're trying to do stuff like that at Ring. I don't think very... Not very privacy-focused, but that's what they're trying to do. That was our vision in the beginning, to tell you the truth. That's how we were like, "You're going to need lots of context [inaudible 00:20:22]." Because we... Remember, the Nest Learning Thermostat wasn't the Nest AI Thermostat. It could have been called that, but we couldn't call it that in 2011 because people would have freaked out. Now you would have called it the Nest AI Thermostat, and people would have bought it. And so we knew what AI was, right. So, since 2010, one of the foundational pieces of the company was AI. And so that's how we were able to do a lot of the things we were able to do, but it was much, obviously, not LLMs, but smaller stuff. And we said, "Okay, we can see this world growing in this AI assistant." Then voice assistance came, then there was Alexa and all that stuff that happened later on in 2013, '14, '15. It's like, "Okay." And that was gen one, but we could see this kind of blossoming, and unfortunately, in the fullness of time, it takes 15 years more from the time Nest launched for that vision to come to fruition, but it is there now. And if Nest was... We pitched it that way. We were just too early.
00:21:24 · Lenny Rachitsky, Tony Fadell
[00:21:24] S1: Let me follow this thread around how to know what to build and how you come up with ideas. So I emailed a bunch of people that know you, I asked them what to ask you. One of your colleagues, Hermann Hauser, Hermann? [00:21:36] S0: Uh-huh. Oh, Hermann Hauser. Yeah. [00:21:37] S1: Hermann Hauser. So his question he wanted me to ask you said, "Ask him how he decides what is worth building."
00:21:43 · Tony Fadell
[00:21:43] S0: Okay. Well, Hermann's great. I've known Hermann since 1987, probably before most of your listeners were even born. But Hermann... Just for context, Hermann was the creator of Acorn Computer, which was the Apple II of the UK back in the '70s. And then he created with his team the ARM processor. So Acorn RISC... So ARM means Acorn RISC Machine from Acorn Computer. And so he was one of... one of the founders of ARM. And so I was talking about processor. Anyway, so that's... so how do... so Hermann and I go way, way back. So the thing is, how do you solve or figure out what is worthy to be built and what's not? So the first thing is I start from pain. Some people start from other directions. I always start from pain. That's what I learned is what are people's pain right now, or you can see it on the horizon, they're going to have pain, and not too far away, but how do you solve for that pain? And typically those pains were because when those products were created, either it was unintentional consequence or it was a limitation of the technology at the time it was created, and it kind of just... it evolved, but it never revolutionized itself. And so it just evolved, and that same pain kind of was it, but it gave you enough of a painkiller for the other problem that having this new pain was worth it. And so I always kind of start with, "Okay, where's our current pain, and are there new technologies to solve that pain?" And like in the thermostat case, Nest, was we could use AI to learn so it can learn when you're there, when you're away, what temperatures you're like, so you don't have to program it, so you can save energy. So the big pain was being either comfortable or saving money because 50% of your energy bill was in this heating and cooling unit that you hated the interface, you didn't know what it was, you just paid the bill. And so it started from that pain and said, "Okay, well, programmable thermostats weren't innovative, but they weren't used." Everyone... A lot of them had it because the energy company would give you rebates for it, but no one knew how to use it because it was arcane. It was- ... give you rebates for it, but no one knew how to use it because it was RK and it was programming a VCR. And so what I said was, "Oh, wait a second, what if it could learn your patterns?" And that was AI.
00:24:13 · Tony Fadell
And so now let's put that together in a much cooler looking attractive package that costs five to six times more than the things that you're buying today. But that was the crazy opinion-based decision was, okay, yes, it's going to cost 249, but it's going to save you 800 to $1,200 a year. So it could pay for itself literally within a year or two. So that was the big idea. And AI was brought to bear on that old problem and hopefully solve it in a new way. So it starts with the pain, longtime pain, maybe habituated away pain that you have to discover and new technology bonded with that to then bring innovation in, revolution in, and then redefine the space in a way, which is what we did, which is not with just the product but how you installed it. It was always installed by third party installers as opposed to yourself, how you bought it, which was you bought it through the installer, you didn't buy it in Best Buy or somewhere else. So we had to reinvent many different pieces of the puzzle to get Nest to be the Nest. It wasn't just the product. It was all the other things. Just like the iPod wasn't the iPod or the iPhone wasn't the iPhone. It was the iPhone plus the app store, iPod plus iTunes and then the iTunes music store. So you have to think about the full thing you're trying to build, not just the one piece, even though that's what you might remember, you have to remember it's a system that you're going to innovate with.
00:25:47 · Lenny Rachitsky
[00:25:47] S1: So these two part formula you shared here, pain and new technologies. The second part is really interesting. Essentially it's what's the why now? What's the new tech that has emerged that now allows us to solve this pain? It feels like that's a core part of it. Okay. It's because it's interesting because when you talked about the iPhone keyboard, it was a similar story of, okay, we can actually sort of do this virtual keyboard for the first time in history.
00:26:10 · Tony Fadell
[00:26:10] S0: Right, exactly. It could because of multi-touch. That's really what it was. And then we were just on the verge of having fast enough processors, and we were just on the verge. If you look at the iPhone, or you're with Nest, iPhone or iPod, you can see where all these technologies were just coming to light. So in the iPod, it was just now mass storage that was portable and battery operated. That was really what it was. And it was also MP3s or digital music. And we also had high density. We were the first products to have lithium ion or lithium prismatic polymer cells. So it was new battery technology, new mass storage, portable mass storage and this new generation of digital music and we had ARM processors. And really, really low power. So all of those things had to come together to do that. And then on the iPhone, it was multi-touch, but it wasn't just that. It was also the fact that now we had wifi everywhere. And we knew that 3G was coming because we was only 2.5 G when that was, and that was very slow, but we had wifi. And we had digital cameras. We had the digital camera, we had digital video, which we had YouTube at the time. So it was all of those things just on the verge to say, this is what's going to be very different than what just came before it, like a Blackberry. Which was really just a texting machine and nothing else.