5 застосунків на AI, що приносять від $50 тис./міс.

My friends, the era of hiring expensive developers or raising millions of dollars to build an app are over because I'm about to show you five tiny apps that are making more than $50,000 a month. And they're all built with AI by nontechnical entrepreneurs and without writing a single line of code. And no, I'm not just doing this to make you jealous. I'm doing it to help you realize that with the lessons and the tools that I'll be telling you in this video, you can get your own piece of the pie. So, let's get into it. Now, this first success story comes from Brazil and unfortunately starts with a dramatic tragedy. This is Vanessa Ricardi, a Brazilian reporter who was found dead, murdered by her ex-boyfriend, the very unfortunate outcome of gender-based violence in [music] Brazil. And having grown up in Brazil, honestly, this kind of broke my heart. But this is where legends are born, my friend, because this, my friends, is Sabrine Moss, a Brazilian growth marketer who, after finding out this news, decided she had to do something about the problem. You see, Vanessa's murder could have potentially been avoided because her ex-boyfriend actually had a criminal record. And this is what sparked the idea for Sabrine. What if you created an app that could help women be safer by doing background checks? You see, the current system was kind of broken. You could definitely do background checks, but it was very slow, bureaucratic, and oftentimes catered to an audience that was [music] not the common lady. And so, this is exactly what gave Sabrine the idea of creating Plink. And because you probably don't speak Portuguese, I'll translate what the header of the website actually says. Trusted relationships start with information. And basically, it's an app where you can literally just put the full name and you can put the telephone number of the person you're talking to, and it will instantly do a background check and find any criminal records. Rank that person in risk. And it allows women to feel safe before they go on dates with people that they don't necessarily know before they choose to hire a therapist, a doctor, a boyfriend, you name it. In one instant, you can get a report. But how did she actually build it? She had no technical skills and had never been a founder before. Well, that's where an AI coding platform called Lovable steps in. She was able to just describe what she was trying to build. And in a short period of just 45 days, she was able to build a platform that allowed her to get her first 10,000 users in just 3 months. So, it's super cool, but how does she actually make money? Well, she charges for each one of the background checks, and you also have an unlimited plan. And with the amount of market demand that she was seeing, she was able to scale to 2.2 2 million rayis Brazilian rayis per year. That's roughly $454,000 a year. And today their user base counts more than 30,000 women with hundreds of cases coming back with high risk candidates. So Sabrina here gets my top award startup of the day because she is an absolute G and she's actually doing something that makes a real difference. Now let's jump into the next one. Now this next story is probably the polar opposite of the story I've just given you. It's not changing the world. In fact, it's about having a good laugh. But the results, my friend, are a million dollars in annual recurring revenue in just 90 days. So, let me tell you a little bit about it. This guy over here is Yo Hornung. Hornung Hornung. I'm probably saying that wrong, but he used to work at Fiverr. And when he quit, he decided he was going to start a business. So, he got together with two of his friends and had a thesis. I think we could probably create personalized comedy books that we could sell to people. And I'd guess that people would actually find it pretty funny if they received a personalized comedy book about themsel. Now, the very smart thing that he did even before going down the oneweek building path is that he actually tested it out. The actual offer, he built out a landing page and he tested it with meta ads or Facebook ads. And after spending just $100 on ads, he was getting 6 to 8% conversion on these books. And that's when he decided, there's an opportunity. I have some validation. Let's build this out. and it took him less than seven days to build out the full product. Now, let's check out the current version that's up online. Now, at first glance, this looks pretty cool over here. It's print personalized comedy books in minutes. And I'm going to go ahead and create my book. So, I'm basically going to see the experience. It is kind of a navigation. Who is this book for? For someone else. Excellent. What's the occasion? Let's say it's an anniversary. I'll make this for my wife. She will probably hate it. Is this book about a couple? Yes, it's about us. First person's name, Mariana. She's a female. Excellent. Second person, Christian. Male. [music] How did Christian and Mariana meet? So, now it's going to ask me a bunch of questions about our journey. And I'm going to basically go through and answer each one of these questions one by one. We met on the dance floor of a party in Los Angeles um that we were both not supposed to be. Once we went to Joshua Tree and we had an awesome lunch and we started drinking a little bit too much and then we started laughing about some dumb police thing. She used to like partying a lot. Now she has two kids and is a lot more calm. She is definitely a little disorganized. He is extreme extrovert and a little bit high energy. Then it's going to ask me to select the actual genre. We're going to keep comedy because I think that's kind of funny. Then it asks for my email. Give it that. It now asks me to find a title. Then I can choose the cover. I'm here going to choose illustration because I don't want to feed it a picture yet. And boom. Just like that, it's created a first version of the cover back and front. And it's actually pretty funny because it's the way that me and my wife met. So now I approve the cover. And let's see where it brings me. I can now select the type of book and the shipping. Super smart and super easy to use. I can even personalize a printed message that sends along with it. [music] And here it's going to tell me to go straight to the checkout. And the books either sell for $39 or $59, which is an absolute killing. And although I'll give you specific takeaways from each one of these lessons at the end, this is super impressive. And this guy was non-technical. Now, one thing you'll notice about a lot of these stories is it's actually using an outside in approach. You see, these people don't come from the industries that they're building these products for, but have seen tremendous success. And that's exactly the story of Allan, the founder of Shift Nex. You see, he's not in the healthcare business at all, but he found that there was actually a problem in the staffing system around the health care system. So, basically, for hospitals, this is how it works. Think about it. If a nurse calls in sick one day for her job at the hospital, you basically usually have a coordinator who's going to call a whole bunch of people, start getting a list of people who could potentially come in and help out. They make a list, they start leaving voicemails, they keep calling even more. And in the meantime, patients who actually need help are not being taken care of. And so Allan saw this problem and said, "Hey, even though I'm not from this industry, I think we can fix something here." He basically understood a fact that if he could match these shifts with health care professionals who could actually fulfill them, right, it's not just anyone, then he would probably be able to make some money from it. And so that's exactly what he did. He jumped into Lovable. He built out a first version of the product. He then was able to onboard thousands of healthcare professionals. And suddenly he became very attractive for these coordinators or their managers. So it pretty much works like Uber. It matches a person in real time with a shift. And yes, five months after launch, he had already $5,000 health professionals and was generating a million in annual recurring revenue. And that's the story of how a non-technical person pretty much took a tiny app idea and turned it into a actual real business. Pretty impressive if you ask me. The next case study is of Lemu and it was built by two people. Hendrickk who's an exathlete turned product manager and Peter who runs brand and sales. As you can notice, none of them are engineers and they don't know how to code at all. But here's what they saw in the market that gave them this opportunity to build out Lemu. Fashion brands were spending a huge amount of time on content creation, on photography, and keeping their design and marketing teams aligned. Now, for the most part, the way they were currently doing things was literally split into five to eight different tools. one for content, one for visual tryon, one for localization, and another for B2B sales and presentations. So Henrik and Peter decided they would just build it all into one platform. And for this, they turned to Lovable for help. But here's one of the main things they did different. Instead of going out there and pitching startups with this idea and with this product, they actually just went out and went straight to enterprise deals because yes, the big brands had the big pain and the big brands also had the budget. And as a result, just 9 months into their journey, they were able to generate $800,000 in annual recurring revenue [music] from a handful of these large customers. That's $73,000 a month. But maybe even more impressive is that after showing this to the founder of Lovable, his name is Anton, they were able to raise money directly from the founder. Not bad for two non-technical founders. And there are some amazing takeaways from this specific journey that I'm going to tell you towards the end of this video. Before that, there's one last case study I want to show you because it's incredibly impactful. This is the story of Spellbook, founded by a guy called Scott right over here. It's a platform that's basically AI for legal. To be more specific, it was an AI co-pilot for actual lawyers. And it actually founded in [music] 2022. That's quite a bit earlier than the big wave in AI that we saw. Now, just the prototype itself actually generated more than 30,000 people to sign up for the weight list for this product. And from that traction, they were able to raise $10.9 million from investors. And not just that, a year later, they raised $20 million. A year after that, in 2025, they raised $50 million in series B. And then another $40 million. [music] And the reason why I'm telling you any of this is actually because a lot of people are not taking AI coding seriously, especially with some of these platforms. Platforms built with AI code can obviously generate revenue, but you can also use them to build prototypes as the first version, validate, make a little bit of revenue, and then go out and raise money. So, even if you're looking to build that billion-doll business, you probably want to start with a simple first version. But let's talk about some of the other learnings we've had. Plink showed us that if you're able to identify a problem, a serious problem that's happening, and you actually want to do good in the world, you can combine both those things. Sabrin Moss from Plink proved that basically you can solve real life issues, really changing people's lives and also generating money. Allan showed us that even though you're not a professional in a specific industry, you can actually build with an outsers's view, meaning that you don't have to have the insight from a specific industry to [music] do so. On the flip side of that, Henrik and Peter proved that you can actually use your existing network based on the career you already have and your insight to build real businesses. The reason they were able to go after those enterprise clients from the get-go is because they had already built a great rolodex and you should definitely leverage that if you can and it makes sense. So you can build as the outsider of an industry and you can also build from the inside out and give my book apart from the fact that people love comedy and silly books. What it taught me at least is that even things that you think are completely commoditized, if you just find the specific niche, the funny little thing, they can really sell. So, don't be too afraid to start something you think, hey, there's already competitors out there because the ability to execute is way more important. And literally, you could just clone one of the startups we've just talked about, and get some customers. But probably one of the best lessons I would take out of that story is that they only spent $100 to validate the idea. They built a landing page, they ran some ads for $100, they saw it converted, and they did the validation before they went all in on the idea. And that's something that today you can do incredibly quickly with AI coding platforms. So yes, even if you're not technical, if you have a great idea, don't sit on it. Go out there and build it. In the AI era, my friends, non-technical entrepreneurs, even solo, can make a huge impact. Don't forget it. Now, these success stories must have gotten you incredibly hyped. But hype is not actually going to build your startup. But learning the skills and actually building it is. So that's why I highly recommend that you check out this video next where I'm going to show you exactly how you can build this inside of Lovable itself. This is the [music] moment where you click the video. Anyway, I hope you enjoyed the video. Subscribe. Let's go.