# How We Built It: $30K/month Mobile App

Channel: Starter Story
Video: https://www.youtube.com/watch?v=rCV-TVCnF6Q
Duration: 11 min
Language: English
Words: 2257
Transcript page: https://viewrankai.com/tools/youtube-transcript/rCV-TVCnF6Q

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[0:00] This is Eyal and Yali, two college students who built an app that at first crushed it with downloads. We were averaging 20 downloads a day right off the bat. But, they had a problem. Almost nobody stayed after the trial ended. Their conversion was horrible. If your product is [ __ ] nobody's going to buy

[0:18] it. They were stuck at $2,000 a month, and they had no idea what to do. So, they decided to scrap everything and go back into the cave. So, we shut down all marketing and spent 4 months completely rebuilding from the scratch. After doing this, on their second try, they hit $30,000 MRR in just 10 weeks. And I brought Eyal and Yali onto the channel to share with me exactly what they changed. In this video, we'll dive into why distribution does not matter if your product sucks, how to identify if your product is actually doomed from the start, and Eyal and Yali's exact playbook for building a product that

[0:55] actually makes money in 2025. This one [music] is a must-watch for anyone building apps right now. I'm Baw Walls, and this is Starter Story. Yali and Eyal, welcome to the channel. Tell me about who you are, what you built, and what's your story. Hey, I'm Eyal. Hey, Pat. I'm Yali, and together, Eyal and I built an app that makes $30,000 a month. We launched it around a year ago. We got stuck at 1 to $2,000 MRR. We took 4 months to rebuild it, and then it skyrocketed. Okay, before we get into what you guys changed that skyrocketed your app, I do need to understand, what is your app and what

[1:28] does it do? We built Prop GPT, which is basically a sports betting analytics platform that uses our machine learning algorithm to hit the most picks. So, users get access to our models and get to analyze their own picks or look through all the pre-analyzed bets that we scan every single day. We do about $30,000 a month, and we've had over 40,000 downloads and over 3,000 paying customers. We have a 48% conversion to trial rate. And for every user that downloads Prop GPT, we make

[1:56] around $3.30. What did the build process look like before you went and, you know, got it on the App Store? We spent like 5 months building the first version of Prop GPT. It was taking a while to build, particularly because ChatGPT was still new. Eventually, in the middle of the NFL season last year, that's when we started launching, and that's when we sort of figured out that our product market fit wasn't exactly what we wanted. All right, guys. Black Friday is in just a couple days, and as you might already know, we are doing something huge at Starter Story. I do not want you to miss out on one of the best deals

[2:29] we've ever done, [music] because last year, our Black Friday deal sold out in just 2 hours. And once people hear about this year's deal, I'm positive it's going to sell out even faster. So, if you don't want to miss out on that, just go to starterstory.com/blackfriday, or hit the first link in the description, and we'll notify you as soon as the deal is live. Spots are going to be very limited for this, so what are you waiting for? All right, let's dive into the interview. Okay, so

[2:55] you get this idea up on the App Store. You're ready to go. How do you actually get users for this app? How many users did you get, and kind of where did you get this app to up to that point? we got it on the App Store, we had a really good base of influencer marketing. I had worked with other really successful app founders before, and then I kind of saw the rise of the

[3:14] initial like influencer marketing hype. We started spending a few thousand dollars on influencer marketing to see like how many downloads we would get for the money spent, and we were able to get around 20 downloads a day, which converted around like 5 to 10 users a day, because we had really high from downloads to free trials. And we couldn't really push past 1 to 2K MRR, so we kind of noticed that there was something critically wrong with our app, despite seeing a lot of hype around it. That's one of the reasons why I wanted to bring you guys on the channel, which I think is super interesting. You

[3:45] kind of had the distribution figured out, but you noticed that even though you kind of knew how to crack this code, you really couldn't get the app past 1 to 2K MRR. How did you solve that problem? How did you eventually build an app that's making over $30,000 a month? We realized that what our customers actually wanted was just to be given the right answers to the test, and not necessarily go through the sports books and input their bets and check for

[4:10] themselves if it was a good bet or not. So, we took 4 months to rebuild the app, no marketing, just engineering and design work, and we launched the new version on April 15th, where we were at $1,700 MRR and around $15 a day. This is after a few months of no marketing. The next month, we go all in on marketing again for the NBA playoffs, and all of a sudden, our conversion rate to paid was over 50%. 2 and 1/2 months later, we hit our peak of 40K MRR and 2,000 downloads in a single day. See, even though Eyal and Yali had the distribution figured out from day one, they still had a huge

[4:47] problem. The product simply was not good enough. So, they spent 4 months rebuilding it, and that's when everything changed. This is exactly why learning how to build with AI is so powerful. When you know how to build and what to change, you can iterate fast and optimize based on what your users actually need. And this is exactly what

[5:07] we teach inside Starter Story Build. Starter Story Build is our live program where you will learn how to build and launch your project using AI tools in just a few weeks. You'll learn how to think like a developer and how to use AI to build real working [music] products just like Eyal and Yali. Our next accelerator is starting soon, so if you're ready to start building, if you're ready to get off the sidelines, head to the first link in the description to claim your spot. All right, [music] now let's get back to the video. Okay, so you guys realized that, no offense, there's a better way of saying it, but

[5:38] you had a bad product or the product wasn't simple enough, but it took you guys a while to realize this. For anyone that's watching this right now who's built something or thinking about building something, what would be your advice on how to figure out how to build a great product? What are the actual things you should be doing every day to avoid this mistake or at least fix it if it happens? The most important thing is to have an extremely humble attitude about your product. If your product is [ __ ] then simply it's not going to work. Like nobody will buy it. Using analytics platforms like Posthog and

[6:09] simply talking to enough users, you see that there is a pattern of human behavior that doesn't align with how the app is designed. For example, on Super Bowl, we saw that a lot of people were converting to the trial, but then nobody was staying after. Like what does that really say about your users? What it means is that your users think this is a great idea. They think that this could add a lot of value to their life, but when it actually comes to using the app, it's not the experience they were hoping for. These signals is what a good product manager should do, and it's

[6:38] going to mean that your business model will work a lot better when you make sure that your product actually best fits your users. Based on all you guys' learnings, I would love you guys gave me sort of the playbook for how to build a great product, specifically how to build a great app in 2025. Can you break that down for me? Step one, really understand who exactly you're building for and what their pain points are. Step two is listen to your data. We became obsessed with the numbers. Again, two numbers that stuck out for us, 45% conversion to trial, but then only 13% conversion from

[7:12] trial to paid. What does that mean? Everybody wanted what we were selling, but the product was [ __ ] Step three, obsess over analytics. So, if you know your users are falling off during onboarding, then you know which screens aren't selling your app well enough. If you track all of the feature clicks on your app, you can identify your app's most compelling value proposition, and then communicate that in your marketing. Any way that you can see what your customers is actually doing is a massive advantage. Step four, once your app is built, the real challenge is scaling it effectively. The smartest way to grow today is through

[7:43] influencer marketing. Their followers engage deeply and convert faster when they see someone that they admire using your product. Another great advantage of organic social media marketing is the chance to go viral. So, for example, probably our 70th video to ever come out hit 600,000 views, and that raised our ARR from around 8K to 38K in about 3 days. And that's really the power of influencer marketing. One video can

[8:08] seriously change your entire business. Okay, cool. Well, thanks for sharing that demo. That was awesome. On a similar note, I'm curious, what's the tech stack behind this app? How did you build it? And then also, like what tools use on a daily basis? We built this on a React Native repo. We mostly use a lot of TypeScript and Python for our machine learning algorithms, um, along with our

[8:29] automated fetching for all of the data. Additionally, we have a giant database, which we store on Neon. In tools for analytics, we use RevenueCat and Superwall for revenue dashboards and paywalling. What are the costs or the profit margin around running an app like this? Yeah, so the costs are basically 20 cents per conversion to Superwall, typically 1% to RevenueCat. We pay for a lot of data APIs to get all the real-time sports data every single day, and that costs about $100 a month. We also spend about $10 a month on our Neon database to make sure we have the bandwidth for all the calls that we

[9:04] make. LLM costs cost about $20 a month, and the cost is constantly going down. Marketing is about $10,000 a month. All in all, we have roughly 50% margins at the end of the day. Okay, cool. Well, thank you for sharing that, being transparent around the numbers. A lot of people who watch us really appreciate that. The last question that I have for both you guys, a lot of people watching this want to build apps like you, want

[9:25] to learn about distribution and product. What would be your advice to people that are starting out right now, trying to do this thing online, build apps, and make money? Biggest piece of advice I could give is have a co-founder who you will be able to lean on, and that will be able to lean on you when things get hard. As an entrepreneur, be honest with yourself and scientific about whether what you're working on has enough demand. And if you prove it to yourself that it's worth the time investment that you will put in struggling, it will be an order of magnitude easier to prove it to others, to both investors and future

[9:57] team members. Beautiful. Well, thank you Ayo and Yali for coming on. What you built is awesome. Congratulations. You guys are awesome. Pat, thanks so much. We absolutely love Starter Story. It's so cool to get on. Appreciate it, Pat. We had a great time. What I thought was interesting about their story is usually you get the product right, but you don't have the distribution figured out. For them, they had the distribution figured out, but they didn't get the product right. And I think that's cool because it really goes to show that you have to have both figured out if you actually

[10:23] want to build something that can last. This is exactly why we launched Starter Story Built, where we will help you take your idea and turn it into a real app using only AI tools. So, if you're ready to finally build that idea, get it out of your head, and get it into the real world, well, head to the first link in the description right below to check out

[10:42] Starter Story Built. All right, guys. That's it for this episode. Thank you for watching. I hope you enjoyed it. We'll see you in the next one. Peace.

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