Blake Anderson

Yeah, happy to do so. Quick context on myself. I kind of stumbled into this space a little bit over a year ago with an app called RIS GPT. It is now named Plug AI. We ended up scaling that to a little bit over 3 million downloads, 200,000 monthly revenue. Then built UMAX. That has done over 10 million downloads, 500,000 monthly revenue.

Now I think it's closer to 400,000, but at our peak, we were around 700,000 in monthly revenue. And then most recently, CalAI. which we launched just like a little bit over six months ago and is at about 2 million downloads and over a million dollars in monthly revenue.

Now I think it's closer to 400,000, but at our peak, we were around 700,000 in monthly revenue. And then most recently, CalAI. which we launched just like a little bit over six months ago and is at about 2 million downloads and over a million dollars in monthly revenue.

Now I think it's closer to 400,000, but at our peak, we were around 700,000 in monthly revenue. And then most recently, CalAI. which we launched just like a little bit over six months ago and is at about 2 million downloads and over a million dollars in monthly revenue.

Yeah, I think I'm, like I mentioned, I kind of just happened to stumble into this space, but it's a pretty fascinating place of the internet and specifically entrepreneurship to be right now because it kind of takes the intersection of new functionality in terms of applications that can be built as a result of AI crossed with novel distribution tactics, largely pioneered by e-commerce people.

Yeah, I think I'm, like I mentioned, I kind of just happened to stumble into this space, but it's a pretty fascinating place of the internet and specifically entrepreneurship to be right now because it kind of takes the intersection of new functionality in terms of applications that can be built as a result of AI crossed with novel distribution tactics, largely pioneered by e-commerce people.

Yeah, I think I'm, like I mentioned, I kind of just happened to stumble into this space, but it's a pretty fascinating place of the internet and specifically entrepreneurship to be right now because it kind of takes the intersection of new functionality in terms of applications that can be built as a result of AI crossed with novel distribution tactics, largely pioneered by e-commerce people.

And so when you take the two of those together, it creates for this this space where you have like a small proportion of kids, essentially like age 18 to 22. I myself, I'm 23 that are kind of running the entire the entire space and at the forefront of it.

And so when you take the two of those together, it creates for this this space where you have like a small proportion of kids, essentially like age 18 to 22. I myself, I'm 23 that are kind of running the entire the entire space and at the forefront of it.

And so when you take the two of those together, it creates for this this space where you have like a small proportion of kids, essentially like age 18 to 22. I myself, I'm 23 that are kind of running the entire the entire space and at the forefront of it.

Yeah, so I believe that, and I'm really excited to get into some of the ideas that we have to share later on, but I believe that we're currently just scratching the surface of new application functionality that can be built and delivered to the end user using these new AI tools. So for example, with Umacs, Umacs was a facial analysis and recommendation application.

Yeah, so I believe that, and I'm really excited to get into some of the ideas that we have to share later on, but I believe that we're currently just scratching the surface of new application functionality that can be built and delivered to the end user using these new AI tools. So for example, with Umacs, Umacs was a facial analysis and recommendation application.

Yeah, so I believe that, and I'm really excited to get into some of the ideas that we have to share later on, but I believe that we're currently just scratching the surface of new application functionality that can be built and delivered to the end user using these new AI tools. So for example, with Umacs, Umacs was a facial analysis and recommendation application.

In the past, this was possible to build. However, it would have taken significant investment into developing internal proprietary ML facial recognition models in order to build it. However, with the use of AI, specifically GPT vision, I was able to do so with essentially zero upfront development cost with the exception of my own time.

In the past, this was possible to build. However, it would have taken significant investment into developing internal proprietary ML facial recognition models in order to build it. However, with the use of AI, specifically GPT vision, I was able to do so with essentially zero upfront development cost with the exception of my own time.

In the past, this was possible to build. However, it would have taken significant investment into developing internal proprietary ML facial recognition models in order to build it. However, with the use of AI, specifically GPT vision, I was able to do so with essentially zero upfront development cost with the exception of my own time.

I think that what we're seeing right now, as I mentioned, we're like scratching the surface of these new functionalities. but what AI really enables us to do is to deliver personalized and like personalized functionality that can be updated in real time, um, through the use of these AI backends, as well as building, uh, technologies that previously would have cost a lot of money.

I think that what we're seeing right now, as I mentioned, we're like scratching the surface of these new functionalities. but what AI really enables us to do is to deliver personalized and like personalized functionality that can be updated in real time, um, through the use of these AI backends, as well as building, uh, technologies that previously would have cost a lot of money.

I think that what we're seeing right now, as I mentioned, we're like scratching the surface of these new functionalities. but what AI really enables us to do is to deliver personalized and like personalized functionality that can be updated in real time, um, through the use of these AI backends, as well as building, uh, technologies that previously would have cost a lot of money.

And so we're seeing the new TikTok AI apps, like this is the start, but as we progress, as AI becomes more advanced and, uh,