Latest / Glovisor Podcast / Ep. 2: App Asked Women to Rate Men’s Photos… The Results Were SHOCKING | Jesse Jaffe (MagneticAI)

Transcript

Ep. 2: App Asked Women to Rate Men’s Photos… The Results Were SHOCKING | Jesse Jaffe (MagneticAI) · Glovisor Podcast

• Joe Abreu: What happens when you combine women's feedback, ⁓ the science of attraction, and then you wrap it all up and turn it into a business? We're gonna find out. Glovisor welcomes the co-founder and of Magnetic AI, AI-powered photo feedback app using real data, Jesse Jaffe. Jesse Jaffe: Hey, Joe. Thanks for having me. I'm very excited to be here and talk about magnetic AI. Joe Abreu: ⁓ Glad you're here today. All right, so Jesse, tell us what you do. Jesse Jaffe: I'm an entrepreneur. I love the startup life. ⁓ is my second startup ⁓ we are looking to solve the problem ⁓ male loneliness. ⁓ we have a theory ⁓ ⁓ that's happening. Since the internet, men have never needed to care about their photos. But since dating apps, ⁓ the last 10 years, It is the number one thing that matters in terms of attracting women online. So what if you can get advice from women about your photo at scale? So that's the first question we asked. And we went on our journey and to build our app. It was launched pretty recently. It's available. And that's how we started. Joe Abreu: Wow, all right, so this is really, really interesting to me. Because this is very niche, right? It's like it's not a very common thing. So what brought this on? How did you get started? Jesse Jaffe: So I was in New York City and we had our group of friends and there was one of our female friends was very articulate about ⁓ should be in a guy's dating profile. And what she did was ⁓ took new photos of us, rearranged some photos and we saw instant results ⁓ our dating profile. But ⁓ was interesting that ⁓ of us got better results than others. ⁓ that's when I really started thinking and researching what ended up happening was that yes, ⁓ from a female friend or sibling is helpful or could be helpful, but that's, ⁓ that's one woman with ⁓ set of preferences grew up in one kind of place has one set of values. ⁓ then I thought, what if we can ⁓ ⁓ a diverse set of women. And then my partner came along and he's a data science guy. And we talked about a way, building a model that we could ⁓ women rate photos of men ⁓ take the data and build a model that can predict ⁓ ⁓ would think of a guy's photo. And it took a lot of time. can go into it. But that's how it started. Joe Abreu: So, okay, so I'm curious, right from the beginning, does ⁓ being really good play anything? Because you said that some of you guys were getting some feedback, much more feedback than others. ⁓ did your look have to do with it? Jesse Jaffe: So what we found in the data is, so you're referencing a fixed trait like handsomeness and there's other fixed traits like age and ethnicity, height. We found that the things that you could change, what we call changeable variables are more impactful to your attractiveness to women in a photographic context than fixed variables. we've calculated in a number 59 % for changeable variables, 41 % for fixed variables in terms of their influence to your score. So yes, the answer to your question is yes. Handsomeness ⁓ matter, but ⁓ great news is that what matters more are things you can change, like your facial expression, like what's in the background, ⁓ your clothes ⁓ many other things. ⁓ what I was saying before is the other reason why that some guys got ⁓ better feedback in dating apps than others because it was one woman who was giving us advice. And so what I was demonstrating there is that we've built a completely different and way better solution because we're aggregating ratings across a diverse set of women. So in our data right now, so we've launched version 0.1 of the model. We have four different ethnicities ⁓ and different age groups. And what you really want is a diverse set. take take anything. Take any source of truth that you're looking for. You ask one person on the street. How confident are you that that is the answer? But if you ask 50, 500, 5,000 on the street and you you get the averages, then you're much more ⁓ confident on the answer. In this case, we want to know whether this photo should or should not be included. in your dating profile. Joe Abreu: Well, now this makes a lot of sense, of course. But looking at the bigger picture, you were just thinking, OK, do we need to generate a model or maybe a group of 1,000, 2,000? Is there a number? When you're looking to set this up, do you have a set number mathematically and scientifically? Jesse Jaffe: That's a great. Yeah, yeah, that's a great question. So it really depends on how deep you want to go in the model. So I'll give you an example. So right now we have in our model that having a dog in your photo boosts your attractiveness to women by by an average of 21 percent. However, what if we narrowed that what we call label sets a label? What if we narrow that and divide that in between big dog and small dog? now we might see differences in terms of different ⁓ types of women and how they react to a big dog versus a small dog. So ⁓ you want to go very specific, obviously you're going to need more observations. You're going to need more photos. You're going to need more ratings, but maybe you're asking what our personal goals are. I have a number in mind. ⁓ I we, we, ⁓ to have a really, really interesting and deep model that gives you all this nuance. We haven't even talked about segmentation yet, but what I'm thinking of is 50 million ratings on at least a million photos. And I think that's gonna take probably five to seven years, maybe longer. Joe Abreu: you just start in the past year working on this Jesse Jaffe: Well, we started with just research. ⁓ did about five months of research ⁓ we can go into that if you'd like. So we did a study to prove that men do not ⁓ know to appeal to women online. So what we did is we had around 100 and 100 women and we had 20 photos of the same guy. We asked women to rate the photos like they ⁓ normally would. Then we asked the men, what do you think women would rate those photos? And we found that on average, ⁓ men were ⁓ some of the men were more than ⁓ one standard deviation wrong compared to the women's ratings. So it was a significant that men did not know what women would think of a photo. And so that to us proved that, yes, there is indeed a problem here. that men do not know how to appeal to women online. we did that research first. Then we really went all in to put in the development resources and all of that too. So what we had to do was we had to find women to rate photos of men. And as two guys, ⁓ you know, we're co-founders, ⁓ me and my not easy, not easy. ⁓ And so We had to recruit. 50 women in the first model here. ⁓ And it us around ⁓ almost five to ⁓ not only recruit for them to do all the ratings that we wanted them to do too. And so, you know, part of what we want to do is that, that, that should be done by a woman. ⁓ That, that So a lot of, a lot of kind of recruiting sales lessons there learned. And then we had to build two apps, ⁓ a web app. custom web app for the women to rate photos and the app that's live now in the app store for the men to get feedback. Joe Abreu: So, well before you started all this, did you a lot of research as to is there anyone else doing this anywhere else on this planet that's focusing ⁓ solving these issues of photos and men dating? Jesse Jaffe: There is. So we do have some competitors apps. However, none of them at least promote that they their feedback is based on real human rating data. ⁓ So really two types of apps. There's these looks maxing apps ⁓ that focus on your face. ⁓ Now, data ⁓ is common. It's it's very widespread in the market. ⁓ just facial data, but we're talking about dating photo type data. And so what I think is going on is that, so like I said, some of the looks maxing apps focus on face only. So not really competitors, kind of. That's more fixed traits. We're more, I didn't mention this, but the feedback you get from our app is only the changeable traits. The score that you get and the feedback that you get are only things you can change. Now there's other apps that do dating photo type ⁓ feedback. But since they don't promote that they're trained on real ⁓ reining data, they're probably just prompting their way as a of a GPT wrapper type thing to give guys feedback. Joe Abreu: Okay, so. Jesse Jaffe: because it's much harder, it's much, much harder to actually recruit women, pay them, and to get real rating data. Joe Abreu: Of course. It seems very difficult. you need dating app in order to collect those, It's what you're doing. Jesse Jaffe: Well, this is actually a very good point that you're bringing up. Just talking about, if anyone's watching this, that's thinking about being an entrepreneur, I would warn you against starting something that requires a network upfront. So a dating app requires a network upfront. That is really, really hard to do. Too hard for me to do. But what I'm doing here with Magnetic AI is you start with a feature. You start with something unique and then you can evolve that into a network, which we do plan to do as well. We do plan on taking this kind of photo feedback engine as the kind of heart of a future dating app. But just conceptually, if you can start with a feature first, get users and then use those users to seed the network. I think that's a better way to go about it. Joe Abreu: When you say feature, can you explain a little bit more about that? Jesse Jaffe: So our app is a feature. It's a photo feedback feature. It doesn't require a network. It's a service. any useful thing that you can provide to people that does not require a network, I would call a feature. If that makes sense. Joe Abreu: okay. So you're recommending the first have a feature to get started. Is that of the like a free proposition for people to start utilizing the tool? Jesse Jaffe: ⁓ Yeah, so it would be helpful if you can find a way to do a freemium type deal like we have maybe we can go into this now. So how do you do freemium? Take, ⁓ you know, I love to ⁓ talk about Robin Hood I talk about this. So you guys, ⁓ everyone probably knows the Hood app. And what they did is they came out and undercut their competitors. that charge commission fees on trading stocks. how did, so how did they do that? How did they make money? What they did was they, they use the data to license the data. So ⁓ you get the in-app experience is free. And then they use that to build a B2B licensing business. If that makes sense. And that's what we're essentially doing here. So everyone that signs up to the app, you'll see a message in the signup screen that says we may ⁓ use these insights for anonymized licensing. So it's all anonymous. I'll give you an example, like, ripped jeans, according to version 0.1 of the model, tanks your attractiveness by around 14%. That's an example ⁓ of something ⁓ we have the terms to license to third parties. ⁓ And so. The overall business plan is to subsidize the experience more and more for in-app users because we're accessing actually this much larger market of data licensing. In our case, I've calculated ⁓ licensing attractiveness type data. And by the way, we want to get both sides, like reverse the genders eventually too, as at least 25 times larger than all dating apps combined. And so, If we're able to access that market, we can, know, so right now it's four free photos per month. That's our freemium deal. But the more we can access this market, that can go to six per month, 10 per month, 12 per month, if we're able to monetize the data. So that's one way to do it. Joe Abreu: if they sign up today, they can four photos ⁓ and now ⁓ what happens? It just automatically ⁓ sends a message ⁓ does it improve it for How does that work? Jesse Jaffe: per month for free. Yep. So we're a photo feedback app. So we give you very specific information on basically two things. One, should you post this photo on your dating app? And two, why or why not? And a subgroup of the second reason is the degree in which these reasons that positively or negatively contributes your photo matter. So I'll give you a specific examples here. So the magic number in the app is six. All photos you get, so you get a one to 10 score. That's the first thing you see. All photos less than a six, remove from your profile. Keep the ones six or more. Then you're gonna see ⁓ specific reasons. For example, on the positive side, smiling with teeth. and the severity or how much or how little it helped the score. So in this case, smiling with teeth is strongly positive to your score. And we have many that are slightly positive. We have some that are strongly negative. Like for example, ⁓ having a photo with artificial light. ⁓ I use that example because that was the photo on my profile that I removed that I thought was a cool photo. As a guy, I thought it was a cool photo. I had this red artificial light. I was in a bar. I thought I looked cool. Well, it's actually very negative. That was something that surprised me. And why is that? Because it's probably because of visibility. So when you have artificial light, it's kind of hard to tell what you look like. So you get the one to score. You get up to four positive and negative ⁓ feedbacks. and the severity in which it influenced. That's in the free version. In the paid version, we have one premium feature right now, which is the full breakdown. So you get more than four. You get the max, everything that the model picks up from your photo. And I'm sorry, and in the premium version, you get the exact numerical contribution for each of the label to the final score. Joe Abreu: Okay, so now the app tells me that it's a number five. So automatically I know I have to do something with that photo. So let's just say it's lighting. Can I just lighten that photo up and then would I just resubmit it back to the app to see if it confirms that I'm now a seven versus a five? Jesse Jaffe: Yeah, so the example you give with lighting is actually one of the few examples that you could do something like that because there are tools that you can manipulate the lighting in your photo. ⁓ for example, if you're snarling like that's ⁓ an example of something that's very negative if you have your tongue out. ⁓ Women don't like that, according to the you're gonna have to take a new photo. So ⁓ let's double click on this for a second. So we've gotten feedback from some of our users ⁓ why don't you ⁓ me a new photo based on the feedback? Well, we are philosophically against that for two One, we know value authenticity ⁓ really high. And we are, we want to get more data on this, ⁓ I'm very sure that if a woman detects that the AI that your photo is AI generated or heavily edited, it's likely not going to help you. And we want to help men attract women online. And so ⁓ what you should do most of the, if you know, if you get a five, ⁓ you're to have to take a new photo. Now ⁓ did also get feedback that Yeah, it's kind of a pain to take a new photo. But most, would say, you're gonna be able to get instant improvement by just removing that, so the five, remove it. And just save, you should have at least four, at least four photos that you get greater, equal to or greater than a six in the app. So you don't really have to do anything, just remove the photos you get less than a six. And eventually you're gonna have to, probably take more photos, but you're gonna know exactly what to do because the app will tell you. And just one last thing, we also came out, which we'll share later on this call, our Insight Report. It's a free PDF that you get to see ⁓ all of insights from the model because when you do a photo, it only gives you the insights ⁓ specific to photo. So I'll give you an example. Me, I shave my face. ⁓ This is the facial hair arrangement that I just choose to do. But I would never know that actually the highest rated facial hair arrangement in the model is a medium goatee. I never wear goatees. so we came out with this report that this first version is going to be free. We may sell it in the future. We may kind of give it as a reward in the future. But you can, ⁓ what I'm trying to say is that you're be able to learn by using the app yourself, even without the inside report about specifics on your photos that you're doing. ⁓ you can access this inside report to learn a lot more from the model. Joe Abreu: Well, so I like it because you said it's a medium goatee versus I guess larger goatee or I guess there's different levels. So you're kind of granular, right? Jesse Jaffe: Well, was a lot of debates ⁓ with me and my co-founder on how granular we should be in this first version of the model. So some of the, call it ⁓ types of feedback is granular than others. Facial hair is one of them and your head of hair is one of them too. ⁓ But ⁓ like, example, we have jeans ⁓ and we ripped jeans. We don't go more granular than that. We have a long sleeve t-shirt, short sleeve t-shirt. We don't go colors. So there's a lot more opportunity to go granular, but we were able to sneak it in on some of the labels in this first version. Joe Abreu: Sure, well at least not yet, right? You're gonna probably, you're gonna get to the next level. And I'm sure that's when you get a lot of these angel investors to come in, that they can actually, and this is the time to talk to you, right? At the beginning stages of it, before you blow up and ⁓ then it's too late anybody to invest with you. Jesse Jaffe: Right. Yeah, so we are going to be looking to fundraise next month. And part of what we're going to do with the money is pay one more much larger cohort of women to unlock segmentation. So segmentation is the feature that all of our users are most excited about. And that's going to be the ability to get feedback based on a woman's age and ethnicity, specific feedback. So. even in the first version of our model right now, it's skewed towards white and Latino women. And we have found even in this first version, although we don't have the feature shipped yet, but just in the insight report, you'll see that there's very interesting differences between those two subgroups. I'll give you one for example. If you have a same age female in your photo, Latino women really don't like it, very negative. White women, it's just slightly negative. So you can think about in the future version that we wanna ship, people have their type. You can target directly to your type. we want that and we can get much more specific and granular on that. But we do wanna ship our first kind of version of segmentation with the money that we wanna raise. Joe Abreu: Wow, it seems like it's a whole world. mean, there's so many different variations of things that you're gonna be able to get into and segmentations that you'll be able to probably sell all this data Think about what you'll know that most people want to know. ⁓ Jesse Jaffe: That's why we think that the data licensing market is at least 25 times larger than all dating apps combined. And ⁓ it might be interesting to talk about the ⁓ competitive that I did in the data licensing market. we do not see company that has the authority to ⁓ license these type of attractiveness insights to third parties. So think about which companies, first of all, what do you need? You need the photo data and you rating data. That's what you need. The biggest companies that have photo data are Meta, Match Group, which is the company that owns Tinder, Hinge, and I think a dozen other dating apps and Bumble, which is a big dating app that it's its own public company. ⁓ These dating apps, let's just talk about the dating apps for a second, the two public companies, they have two major problems that's blocking them from doing this. One is their terms of service. they built, they were coming up and getting popular in the era of we don't sell your data. That was very much what everyone was talking about at the time. So very importantly, They do not have the terms and it's very, and if you look into this, like I have, it's very, very painful for them to change just a little bit of the terms to let us do a little bit. So Bumble went through that exercise in 2024 and it's a, they're in basically quick sand when it comes to this, but even besides that, they have another big problem. The, the swipe data is contaminated. So It's helpful to think about this compared to what we do. So we just have a photo and the women rate it a one to five. And then we do, we label the photo in the, background and we do data science to find why they rated it as they did. Now on dating apps, they have only binary. So it's basically like, yes or no, it's a swipe decision. However, that decision, ⁓ what factors into that decision? It's not just the photo, it's the bio, it's the distance away. It's the interest, it's religion, it's other things that are taking away from the pure attractiveness data that's actually very valuable. point is that the dating apps, yes, they have interesting data, but we have also interesting data, but unique ⁓ it's pure attractiveness data. Joe Abreu: You're definitely different in your space for sure. But before we move on, one thing I did not ask you, do we have a success story that you've heard of while using your app? Jesse Jaffe: Yes, so one is ⁓ myself what we found is that when, ⁓ you have, you have four to six photos on your dating app. If one of those photos ⁓ is rated ⁓ poorly, you're basically. You need to have certain minimum ⁓ standards for all photos. So I removed that one photo that I had the artificial lights that I mentioned ⁓ and ⁓ I did a lot better. Now, ⁓ outside me, we are getting feedback that by just removing the photos less than a six, we are seeing great results. And in fact, this is one of the ⁓ drawbacks because we have our own dating app. So we cannot verify it since we're just starting as a feature, like I mentioned. So what we do want to do ⁓ is in our campaign, that we want to do after fundraising, we want to encourage other kind of users that have small social media accounts to post their success stories. They send us messages, but it's not, you know, they're not posting it online yet. But we've been out for a little over four weeks ⁓ and expect more and more to ⁓ those stories to And then of course, the other vector is looking at our ⁓ paid users. We think that if you're willing to pay for the app, then you're likely seeing results from the app. And so we already do have ⁓ subs without a marketing budget. ⁓ you bring up a very important point and that we've focused on in our marketing plan. We want to ⁓ others to share their results using magnetic AI. Joe Abreu: ⁓ You want to hear back from them. And I do like the direction you're taking this of also you want them to post it because that's helpful long term marketing wise. So that's pretty genius, too. Jesse Jaffe: Yeah, well, look, no ⁓ one's gonna believe you if you just say, yeah, it's helping. So we need them to post it in public. I've posted mine ⁓ we need to encourage others to post theirs. And ⁓ should be incentives for that. Joe Abreu: And I like that you're not just a founder, you're also a user of I think I'm going to have to upload my photo and see what it says. Although I'm married, but I just want to see what it says. Am I a five? Am I a seven? Is there a therapy that goes along with it, just in case I get a four or three? Jesse Jaffe: Well, okay, so there's a couple things there. One is ⁓ this really interesting curiosity factor that we're seeing. So I, for example, I've seen very old men use our app and I'm not sure they're in the dating scene. I'm pretty sure they're not using dating apps. I mean, I don't know, but I think there's curiosity. And so this is actually a very good sign that ⁓ it shows you're building something unique. Joe Abreu: Yeah. Jesse Jaffe: If people are just using your app just for the curiosity factor, it's a very good sign that you don't have many competitors. So that's number one. Now, the therapy that you're talking about, we put in a lot ⁓ effort in how we portray ⁓ feedback. And so it should, you shouldn't require therapy is our goal in using our app. and we make sure that it's just purely objective, where you get a low score, you find out why, these reasons why you can easily change. So in that case, you would need therapy if you're getting reasons why for your fixed traits. ⁓ unethical to do. ⁓ you really wanna know, you can... ⁓ download or pay for the insight report, and then it'll show you the fixed traits in general and how they are differing among different sets of women. But in the app, we're very, careful on how we portray negative feedback. Joe Abreu: Well, that's great. But you know, I was just thinking about this. Even if you're not using for a dating app and maybe the older customers that are downloading it, maybe they're using it for ⁓ business. I'm ⁓ how I come through in the video? Do I seem OK? Would ladies consider me, would watch me a little bit longer if I looked in a certain way? Would that make a difference? ⁓ Jesse Jaffe: It's a very good point. It's a very good point. Maybe look, we don't know. We don't know why they're using the app. ⁓ we don't ask it's totally private. we want to keep it that way. So, ⁓ interesting, what you're saying, Joe, ⁓ we, actually we had considered like, ⁓ like your LinkedIn kind of profile photo. That's more of a business kind of photo, but I think you would need different kind of raters ⁓ but If you're talking about like a YouTube video, then maybe that does, maybe our app is perfect for that. I would to hear, I mean, if we can get feedback based on, ⁓ you used app and you got more like views from your thumbnail, ⁓ that would awesome. We haven't really marketed that potential ⁓ benefit, but that's interesting. Joe Abreu: Yeah, absolutely. I would say for everyone to just download it and give it a try. Try it on your LinkedIn app. Try it on your videos. Try it on Instagram. Whatever it is that you're using, why not? And see if it makes any difference at all. And ⁓ your response and tag Magnetic AI for sure. ⁓ But ⁓ I wanted to go on the personal side. Now as a CEO and founder, mean, that's tough. I mean, you're wearing a lot of hats. Jesse Jaffe: It's free to use. It's free to try. Joe Abreu: What's your favorite part of being a founder, which is very, very cool to be a founder of something so exciting and new and different, but at the same time, it's all on you. It's tough. You're pushing this big, big rock up the hill. And once you get to the other side, it's going to be fantastic. But for now, what are your favorite things to do and your not so favorite things to do? Jesse Jaffe: Yeah, so being a founder, you definitely need a certain personality type. It's more about, I just can't work. I can't be an employee. ⁓ think ⁓ have ideas. I think that there's a lot of problems that are underserved, that are just not being addressed. It requires a lot of risk tolerance, ⁓ but requires ⁓ just Something that you just can't live without. I just couldn't live without being my own boss working on my own stuff. I was ⁓ happy as a person ⁓ an employee. So it's really so ⁓ my thing to do ⁓ is discoveries ⁓ where I'm I'm talking with my my co-founders or my partners ⁓ and we are discovering things. Like, for example, when I did the legal research and I discovered that no other company has the legal authority to license this kind of data, and it's a $300 billion market. So that's that's a highlight of my, you know, startup career. But and then of course, ⁓ things that are not so fun ⁓ the sacrifices ⁓ is the risk. ⁓ ⁓ eating KFC at night sometimes when you don't want to. It's a whole, it ⁓ can be very painful at times. So Elon Musk famously said that doing a startup is like eating a glass sandwich and staring into the abyss. Now his startups are much harder than ⁓ I'm but ⁓ it's, if you, ⁓ I say do not do it, like I did, although I feel like I have no other choice to do it like I did. I would recommend if you work at a company, you save some money, you give yourself three years of runway, and then you do a startup. Joe Abreu: And then, okay, so you're thinking after three years, you should know whether that's the direction you wanna go or not. Jesse Jaffe: No, I'm saying within three years, you're gonna know whether your product works or not. And it's worth continuing with the startup. Joe Abreu: Okay, so that's the ramp up time. so you should have, and then it... Jesse Jaffe: That's a very common like break point. Three years for a startup. Joe Abreu: And what can you see today that would make you extend that to four and five years? What do you need to see? Jesse Jaffe: Well, I need to see investment activity. I need to see user growth. need to see revenue, premium and conversion rate. There's we're at the point where there's many, signals at this point. It's recruiting, although, you know, we've already proven that I think we can recruit more, but it's it's just more about is the app growing? Are investors on board? ⁓ And course, the deals are we able to to get licensing deals? Are companies ⁓ interested in this data? I mean, I've already talked to a couple that are interested, but can we get to that data set size? ⁓ back to the reason why ⁓ had asked me how big of a data set size, I said 50 million ratings on a million photos. This is some of the feedback I've gotten from like hedge fund type guys that they want to, like they're not interested in the data set if it's not continuous. and it's not at a certain size. So the great thing about startups is that you have very incremental milestones, that it's very clear how and if you are progressing. It's very, very easy to see. ⁓ I've noticed it all the way ⁓ since started this from the research phase to seeing ⁓ the from the study. ⁓ to getting our developer on board. And now, since we launched the app, we're getting daily new user growth and paid subs without a marketing budget. I mean, that's huge. there's a lot of things to look at. Joe Abreu: Absolutely, but I think definitely your company's interrupting the whole system. I mean, it's going to be totally different So I can see that this is going to be a multi episode for us because I think ⁓ we're have to bring you back for an update soon Once you get to the next level So Jesse ⁓ tell us if someone wants to download the app and get started and upload those four photos where they should go Jesse Jaffe: I'd love it. To access our app, go to iOS, go to the app store and search magnetic AI, ⁓ one You'll see a search result should be first or second. It should say magnetic AI, colon four men. ⁓ And ⁓ go and download it. Soon ⁓ we'll be web, but for now we're just on iOS. Joe Abreu: Is there something special that our audience should be ⁓ or looking for? ⁓ suggestions that you have for them? Jesse Jaffe: Well, when it comes to your photos, you must realize that in modern dating, photos are everything. really start, if you're struggling with dating apps, ⁓ if you're single and you're looking for a girlfriend, then really look at your photos and allow magnetic AI to show you what women would think of your photos. That's ⁓ important. It's a different mindset. Cause like we said in the beginning, that as a guy, we've never had to care about our photos. It was ⁓ and maybe at a party, but this is different. This is really intentional photo taking. And you'll learn all about what you need to do ⁓ and will, or hopefully will ⁓ transform your dating life. Joe Abreu: before all the VC and angel investors show up and bust down the door If have anybody listening who might be interested in working with you in bringing this app to life ⁓ in, growing it even further, where should they contact Jesse Jaffe: The best place to contact me is on X or Twitter. My handle is j-e-s-s-e-t-h-a-n-3. I'm also on Instagram, the same kind of Jesse Van, j-e-s-s-e-t-h-a-n underscore. ⁓ can DM me in both of those ⁓ apps. And just a quick note on what we're looking for. So I mentioned this data licensing side of things. We're going to need to build out a sales team. I'm known on the team right now as Sales Experience. So we are looking to partner with experts in the sales world. Joe Abreu: Great, so you're looking for an in-house partnership or an external partnership? Have you thought about how you want to see that? Jesse Jaffe: Either one. So I have a big influence. ⁓ read ⁓ Walton's autobiography, the founder of Walmart. And he said the best decision that he made was giving some equity to all his early partners. So ideally, ⁓ looking for someone who really ⁓ the vision ⁓ becomes and ⁓ basically becomes the cap table has equity. Now, of course, I'm open. know that this is quite unconventional for a salesperson. So of course, we're open to commission structures. We need to build out a sales system. There's going to be a lot of work to do on the sales side, and I'm pretty much open to all potential arrangements. Joe Abreu: Yeah, well, it sounds great. You know, as you heard, Walmart just reached a $1 trillion valuation. So I think he was onto something. Yeah. So Jesse, thank you so much for sharing your information, telling us everything about your app. we look forward to hearing from you in a future episode, getting an update in where you are with the investors that came in, ⁓ how many ⁓ have downloaded app, hopefully thousands after they listen to this. Jesse Jaffe: Definitely. Joe Abreu: this all we're looking forward for businesses like yours to grow ⁓ and you to come back and to share those stories. ⁓ our and people watching can actually learn the road and the journey that investors, that founders, CEOs such as yourself have to go through to make their dreams come true. Jesse Jaffe: Thank you, Joe. Really appreciate the opportunity. This is actually my first podcast appearance for Magnetic AI. So hopefully the first of many. I'd be delighted to come back to share And yeah, thanks the invite. Joe Abreu: Great, thank you. Till the next