Public evidence record
Host · Lenny's Newsletter
Books, apps, and tools
other / uses
“I continue to be astounded by how much engineering has transformed in two years. It's like a completely different dropdown. We used to sit there in NID and write code, and now you're just talking to agents and reviewing code and shipping 100 PRs a day.”
service / likes
“I love Waymo. It's just like, once you see it, you're just like, This is insane.”
other / likes
“They don't have to raise money. They can just kind of go heads down and build, so I love so much about the story of Surge.”
app / uses
“Yeah, let's do it. I use Discover Weekly all the time.”
other / built
“The Superhost example is actually really interesting because I built the Superhost program.”
app / uses
“As an example, I use Claude and ChatGPT for coming up with title suggestions for these podcast episodes. And I give it examples of just examples of titles that have done well, and then it's 10 different examples, just bullet points.”
app / uses
“Yeah. For me when I use Claude for coming up with interview questions and just suggestions of... It's actually really good.”
app / likes
“Okay. By the way, I want to make it clear, I love Claude. I use Claude and ChatGPT equally, roughly.”
app / likes
“Speaking of apps, I was doing research on you in preparation for this and I didn't realize you built Quitter back in the day. I love Quitter.”
app / built
“Fun fact, I built an app once called Savorable that helped you savor the moment, it was called Savorable and it sent you a text every few hours, I don't know, maybe once a day with a little reminder of way to savor the moment.”
hardware / likes
“I love Sonos. I love the name. I have many Sonos products. How often does this happen where the client is just, "No, this is not the name.”
other / likes
“I love Ender's Game. I've read them all.”
Claim ledger
19 transcript-backed records
01 / prediction
“You believe this is the best time in history to be a designer.”
02 / prediction
“I wonder if another reason for this becoming more valuable is because agents are now doing a lot of work.”
03 / prediction
“How much different do you think this will be in, I don't know, five years, the way we entertain ourselves?”
04 / prediction
“It's going up, I don't know, the funnel or the timeline of building a product. And I feel like distribution is where it ends up being, what ends up being the new moat and the new biggest challenge because AI is not going to really help you there.”
05 / prediction
“One thing I want to throw out, it's kind of a hot take, and this came from a chat I just had with Amol, a Head of Growth at Anthropic. So he's Head of Growth, he's a PM and he had this really interesting point that as engineers can do so much more, PMs are getting squeezed because they have to stay on top of so many things, so many features, so many ideas, so much talk, so many things being said at them.”
06 / prediction
“What I think about as you talk about this is, I don't know if you saw this, they asked all the heads of the AI labs like Demis, and Sam Altman, and Dario, just like, "Okay, if everybody agreed to slow down and stop this stuff, would you do it?”
07 / prediction
“" The jobs piece is really interesting. And a thread that has emerged on this podcast recently is that people are afraid AI will take their jobs, but in reality, AI is coming just in time to save us because populations are declining, people are aging, and we need something to help us there.”
08 / prediction
“I don't know what job has changed more in the past couple years, like job that we didn't expect to change this much where just like the job of an engineer is so different in the entire lifespan of an engineer.”
09 / prediction
“Maybe the fourth order effect is distribution becomes increasingly important because there are so many freaking things trying to get your attention.”
10 / prediction
“He's like, " Pick it up." So with that, I think understanding how babies think and toddlers think and operate is helpful in the corporate environment where we think we're working adults, but a lot of times they're more like babies.”
11 / prediction
“We won't have any more in 10, 20 years. There'll be no more engineers because no one's hiring junior engineers.”
12 / prediction
“I think people have felt exactly what you're describing every time they open up one of these vibe coding tools where you could just describe anything you want.”
13 / prediction
“I recently had Brian Balfour on the podcast and he showed this quote that's really stuck with me that I think about as you talk about all this, it was by Alex Rampell, this idea that startups is a game of getting distribution before incumbents can innovate fast enough.”
14 / prediction
“skill, but it's being good with AI, using AI to become more, become better at what you're already doing. This reminds me of Elon's whole thing with Neuralink, which if I don't know if this is how he put it, but the way I've always heard it is he wanted to build Neuralink because in the future, when AGI and super intelligence is around, we need a way to compete.”
15 / prediction
“" And it makes me think about something else of just you would think why can't just GPT-5 build its own user interface just like as you use it, it just evolve. It's sort of what it's doing with Canvas and all these things, but that's another way I think about when you talk about this idea of product as organism is the product, the UX can shift based on how you're using it and evolve automatically without having product teams have to do anything.”
16 / prediction
“I want to start with something that we were chatting about before this that I've never heard about as a concept that I think is going to be really helpful for people to think about, which is this concept you have that we're moving from product as artifact to product as organism.”
17 / prediction
“Okay, so before we get into the insane trajectory that your data labeling business is on, which is just an amazing story that I think a lot of founders and product teams that are trying to navigate this AI disruption that's happening will have a lot to learn from.”
18 / prediction
“This has come up a couple of times this point that I think is really good, that younger people coming out of school are actually going to be much more likely to be successful because they're growing up with these tools, and are much more native to all these advanced tools and so they just come in as beasts just doing so much more.”
19 / prediction
“The second half of your career, you probably make, I don't know, 10 times more than you make the first part of your career.”