High Signal Podcasts Evidence ledger
Method
Browse
← Back to evidence

Evidence receipt / recommendation

Published · transcript-backed

Dan Shipper: recommendation

17 Jul 2025 Lenny's Podcast The AI-native startup: 5 products, 7-figure revenue, 100% AI-written code | Dan Shipper (co-founder/CEO of Every)

“Because I think that there's something sort of special about it that probably there's a playbook that is useful for people.”

— Dan Shipper

Source trail

Everything needed to verify it.

Speaker
Dan Shipper
Attribution
Verified speaker
Claim type
recommendation
Recorded
17 Jul 2025
Publisher
Lenny's Podcast

Transcript context

…Okay. Is there any other way that you guys operate that is really interesting that might be worth sharing that helps you operate really quickly, helps you do more with less? I mean, I would love to talk about how we think about building products, what products to build, what do we end up building? Because I think that there's something sort of special about it that probably there's a playbook that is useful for people. So when I think about... This is only sort of snapped into focus recently. So a lot of this was just doing it intuitively without really a thought for it. But when I think about the kind of things that we have ended up incubating, it's basically goes back to something I said at the beginning, which is there are these things that were historically really expensive that only rich people or big companies could buy. So a chief of staff for your email, I think a therapist or a lawyer is another interesting example. Someone to organize your closet or organize your computer is another example. Someone to go straight for you, that are becoming orders of magnitude cheaper so that everyone can use them even if you're at a small startup. And so basically when you're running, we are sort of this AI first company. You're running into all these little things where you're like, I wish I had a ghost writer right now, but ghost writers are really expensive. Or I wish I had a lawyer but it would cost me like $25,000. Lawyers are really expensive and there's a lot more demand for those services than can be fulfilled because they're so expensive. And what AI does is it allows you to be like, oh, I could just use cloud for that. I can use ChatGPT for that. And so you're able to use the demand that you have that we can afford a lawyer. We have ghost writers, but there's a lot more that we can't do because we can't afford it. So we still have our lawyer and we still have our ghost writers, but we just do a lot more of that stuff. And so we notice that. We start to then use ChatGPT and cloud first, these general purpose tools to try it and see is this useful? Does this actually work? All that kind of stuff. And then if it does, we will unbundle it into its own separate thing that becomes an app. And I think what's really special about this time is the entire game board has been totally reset in terms of things you can build. Where five years ago it was like you're going to build another Notes app. We've been building notes app for forever, another B2B SAS app. It's all the same stuff in slightly different packaging. And now it's totally new territory. No one knows what's going on. Everyone's inventing it as it happens. All these new workflows are being created in a very similar way to, I don't know, for example, when spreadsheets were first a thing on computers, we were figuring out all these new workflows on spreadsheets. They got unbundled in the B2B SAS, same thing for ChatGPT and Claude. And what's really cool is you can be like, cool, I'm using using ChatGPT for this. It's really useful for me. And you might be one of the first people to really notice that. ng for ChatGPT and Claude. And what's really cool is you can be like, cool, I'm using using ChatGPT for this. It's really useful for me. And you might be one of the first people to really notice that. And then because everybody that works at Every is AI first and came to us because they reads Every, they read Every, so we all have the same vibe and we're all kind of doing similar stuff. They become our first users. So we measure the success of the product by is it a banger inside of Every, monologue the app that I was talking to you about, everyone just started using it and we're like, okay, we've got something here. And what's really interesting then is if everyone inside of Every uses it and people read Every, they have a similar vibe to us too, so they become the next set of users. And that's a really, I think, interesting pipeline for building applications or building apps. It's a totally new greenfield so that all the stuff you're thinking about, it's probably new, which is really cool. And over time, what I think is organizations like ours, people who are playing at the edge, we're doing things that in three years everybody else is going to be doing. So it may be kind of niche for now, but it will be a big deal in three years when everyone else has the same needs that we do.…

Stored transcript either side of the excerpt. The highlighted words are the published quote; the surrounding text is unedited source, never generated.

Search evidence