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Out a new AI social app called Zesty and it's designed specifically for discovering new restaurants. And to be honest, this is actually a concept that I absolutely love. I 100% guarantee they used AI models, AI code models to help them spin out a really quick sample of this idea that they were thinking of. It incorporates AI in how it gives recommendations and I think that every company should be experimenting now. That code is so much easier to generate with some of these really cool products that integrate AI into kind of breathing new life into a product and help you capture more market share. If you want to try all of the AI models that I talk about on the show, I'd love for you to try my own startup which is called AI Box AI. You get access to the top 40 different AI models from OpenAI to Google to Anthropic to Grok to 11 Labs for audio and a bunch of really cool image models. If you want to try out all of those for only $20 a month so you don't have to have subscriptions to every platform and forget where you generated things and where all your content is. So it's all in one central database. And spot, go check out AI box AI. I'll leave a link in the description. All right, let's get back into what DoorDash is doing. So I think there's a couple interesting things here beyond just being like a search app. You can imagine this is like, oh, go find restaurants. They're kind of, they're kind of pitching this as a social app. So it's originally just going to be available in San Francisco and New York. So it's kind of geolocated. And they're essentially branching out beyond just doing food delivery. They're getting into more of a social and a discovery space. I think the idea is to try to get rid of the need to read a bunch of different reviews or to look up different menus or even, you know, go on TikTok when you're looking for a new place to eat. So once you open the app and sign in, you obviously do this with your DoorDash account and, and then you essentially can ask the chatbot for a personal recommendation based off of, you know, what you're looking for. So there's an example they gave where you say like a low key dinner in Williamsburg that's actually good for introverts. And then it's going to find you specific recommendations. It's going to go scraping through a bunch of different places. You could also ask it for something like, you know, brunch spots, good for groups or romantic dinner with a vintage feel. So it's kind of all of these things that are, it's very hard to search for those things just organically in something like Google Maps. Andy Fang, who is the co founder of DoorDash, wrote a post on X about this and said that the way that they're getting all of the data is that they're getting information from DoorDash, who obviously has a lot of info on all the restaurants, Google Maps, TikTok and some other places. But to me this is so fascinating just where we get our data from. Like TikTok is like a really reputable source for getting interesting information. Google Maps, DoorDash. And then they said that they quote, curate the best suggestions from the web. So they're also just scraping the web. Essentially what they're doing is it's the app is learning what your taste is and figuring what you do and don't like. And then once you come across a recommendation that you're interested in, you can save it, you can Share it with other people. Users can view and share photos and comments about restaurants they've visited. So they're trying to build like a whole social app where you're discovering content just around food and maybe you'll follow people that you really like, all of their food suggestions and all the restaurants that they eat at, and you want to go try all the same places they do now. Of course, this like, begs the question, can they stand out against something like Instagram or maybe you would just go follow like a food page in your city where someone would do this exact same thing. And I think having the discoverability in addition to sharing the content does make it beyond that. I don't think they can make a standalone social app, but because there's so much to do with discoverability, I do think that is a big value add. One interesting thing that they said about this, the DoorDash said. They said at DoorDash, we're always looking for new ways to help people connect with the best of their communities. We're piloting this app to make it easier to discover great nearby restaurants, coffee shops, bars, and more through personalized search and social sharing. We're excited to learn from early testers as we keep sharing what local discovery can look like. Bloomberg actually was the first one that wrote about this and broke the news on it. I think a lot of people might not want to download a brand new app just for doing this when you go on Google. But I think as we're getting AI embedded more and more into our lives, if there really is a tool that can go and scrape the Internet and scrape these data sources in a new and useful way, I do think people are willing to use it. So an example is, you know, they mentioned that they're getting their data from Google Maps, from TikTok and from the web and from DoorDash. Of course. Like, there's a world where you use all three of those tools to try to narrow down what you want to eat. And many times one of my, one of the things I dislike the most is the amount of time I spend just for the right kind of restaurant. And it's because I'm like, I'm like, okay, like, you know, maybe it's like an anniversary and I'm like, okay, like Italian food or something like that. It seems like kind of a romantic place, but it's like, well, we've already eaten Italian food like last week a couple times. So like, I don't really want Italian food. So if I could just simply say a romantic place to Eat that's open at these times that's this far away from where I'm at. Like there's a bunch of things that I think would very natural language make it much easier to, to go and find. And if it's scraping through all of the reviews on GOOG and on TikTok to get responses like if it's going and getting this from a unique data source, I love that. And I think this is super, super valuable and definitely worth trying a new tool if it's, if it's going to go to new data sources and essentially anything that can speed up my search phase where I can ask exactly what I want and I don't have to go to all the different places to try to find the perfect restaurant. Right. I'm not like looking at Instagram for like the most cinematic, scenic or esthetic restaurants out there. If I can just cut that out of my search process and trust it to one tool, I do think that there will be, I think that there'll be a use case for that. So right now the launch of this new app is essentially DoorDash trying to get out of just doing the delivery service. They're, they're branching out, they're doing some new areas. Earlier this year they launched a feature that let customers make reservations for in person, in person dining. And you could even get like in store rewards if you do that. So they have a bunch of different kind of products that they're making. I do think this is smart. DoorDash is very well known for what it does, but I think there's a lot more room to grow. And if they want to expand the company, I think there's some really great ways, especially as you start thinking about discoverability. Why wouldn't DoorDash target people that are looking for where to eat? Because many people are going to want to go eat out and they don't want to doordash something to their door. So why wouldn't they, they find a way to get a piece of the action in regards to that. And this kind of goes to where I believe they're, they're, their plan is down the road. And that is beyond just helping you discover. I think they'll start having ads in there and they'll be, they'll charge fees and they'll, they'll monetize eventually the recommendation of different restaurants or advertise or promote different restaurants in there and they'll be able to make money from more of an ad network, but not in a way that they're creating a completely new product. I mean, this is very, you know, related to their restaurant kind of business. It's just a new way to monetize that. And we've seen other advertisers or other apps do really well in this regard. I think Instacart has a massive portion of their revenue now that is generated from putting ads inside of their. Inside of their app. So that when you're doing your shopping or whatever, you're going to be recommended certain products. And Instacart gets paid a lot of money for that. Uber makes a ton of money from in app ads. So the ads business, I would say do not underestimate that. And this is a brand new way for DoorDash, I think, to really kind of grow something that they can unlock that and start seeing a lot of that revenue themselves. So not a shocker, but I do think this is an interesting product and one I'll definitely follow in the future. Thanks so much for tuning into the podcast. If you learned anything or if you appreciate the podcast, make sure to leave a rating and review over on Apple or Spotify or wherever you get your podcasts. It helps my show to be found by more amazing people like yourself and I hope you have a wonderful rest of your day.