Jess WadeGuestAlex HudsonHostUh, so I think I've seen the headline, I haven't read it, about Yelp's accidental pivot that you wrote-
I'm interested to hear more, and I don't fully understand it, and I don't know what on earth, because I've been running around and I, I have read so little news.
So this is, this is the Inc. 5000 that, uh, they publish every year, and as part of that, they do a kind of recap of people who used to be on the list at one point as a kind of, you know, marking of what they did.
And basically, this is just kind of like, it, it's going back into their history and talking about the history of what they actually did.
So, you know, in this case, it's the household names is what it is, is their kind of their, their vertical for it.
And it's looking at effectively the way in which often these kind of big tech companies luck out by realizing that actually the core product that they, they're known for is not the thing that they initially produce.
And so with Yelp, it was similarly, they had a very different, uh, product initially.
The idea of kind of rating and commenting and providing this sort of peer review process on their businesses that are around, you know, individual users became the actual runaway success.
So, um, you know, these things are kind of interesting because I guess we learn the history of people's previous mistakes and try and put them into the current day.
So, you know, we look at the example, I suppose, ChatGPT put out there in November 2022 as just like a, "We don't think this will set the world on fire, but we don't really know what else to do with it." So it's better to, as they say in the tech world, to dog food it, right? To say that this is just out there, let people use it and see what they make of it.
I mean, it's not a particularly nice phrase, I would suggest, because it kind of suggests that, like, people just rummage around and chew it over and stuff.
Uh, so I think I've seen the headline, I haven't read it, about Yelp's accidental pivot that you wrote-
I'm interested to hear more, and I don't fully understand it, and I don't know what on earth, because I've been running around and I, I have read so little news.
So this is, this is the Inc. 5000 that, uh, they publish every year, and as part of that, they do a kind of recap of people who used to be on the list at one point as a kind of, you know, marking of what they did.
And basically, this is just kind of like, it, it's going back into their history and talking about the history of what they actually did.
So, you know, in this case, it's the household names is what it is, is their kind of their, their vertical for it.
And it's looking at effectively the way in which often these kind of big tech companies luck out by realizing that actually the core product that they, they're known for is not the thing that they initially produce.
And so with Yelp, it was similarly, they had a very different, uh, product initially.
The idea of kind of rating and commenting and providing this sort of peer review process on their businesses that are around, you know, individual users became the actual runaway success.
So, um, you know, these things are kind of interesting because I guess we learn the history of people's previous mistakes and try and put them into the current day.
So, you know, we look at the example, I suppose, ChatGPT put out there in November 2022 as just like a, "We don't think this will set the world on fire, but we don't really know what else to do with it." So it's better to, as they say in the tech world, to dog food it, right? To say that this is just out there, let people use it and see what they make of it.
I mean, it's not a particularly nice phrase, I would suggest, because it kind of suggests that, like, people just rummage around and chew it over and stuff.
The rest of this transcript — segmented and speaker-labeled, so you land on the exact moment something was said
Search every transcript — by keyword, by phrase, or by meaning, across every show Radar indexes
Trends — what is surging across podcasts, measured against its own baseline
Alerts — when a name you follow appears in a newly indexed episode
No account is needed to search Radar.