Pushcroll · B2C · push-ups to unlock social media
Rebuild push-up tracking to work from the front so faces show on video
What they did
- Stage
- MVP to v2
In their words
Mario Manero & Alejandro Sanchez - Our App Makes $30K/Month Profit Using This Simple Strategy (copy us)
Mario Ortiz Manero… that I was building. So, I literally just like mostly imported most of it into this new sort of format, and then slapped AI detection into it. We had to change a lot about it, of course, and then like the issue is that I I started building the other app with Android instead of iOS. So, we first had to do like ship Android, and then iOS. But yeah, like we met up, and then we we decided how to approach it and and like spend some days building it.
Alejandro SanchezYeah, so pretty much the first version is very simple. You just select the app you want to block, like, let's say, X or Instagram, and you have a button, "Do Push-ups." And you you see your budget. And I think like actually the first version was even a sideways detection. And then, we did switch to a front detection, because it's more visually appealing. And yeah, that's pretty much it, like just this these two screens pretty much. That's the app.
Mario Ortiz ManeroSuper scrappy, like based on on demos that we found online with like AI detection and so on. And then, we had like the the core feature is like the AI detection, right? And so you really have to nail down how well that works. Um so we had to do like lots of like put a lot of effort into making it better, but the first version just worked, so that was good enough.
Joseph ChoiThat's crazy, this whole app is just two screens, I guess plus one uh you know intro screen. But then there's a few things that go into those two screens. Like the first one, there's the tracking where you it tracks how many minutes you've scrolled on each of the apps. And then the second screen, obviously there's the AI. Was it hard to build the AI? Like what went into that?
Mario Ortiz Manero… you could do push-ups. Uh that that was it. And then, like when you opened one of the blocked apps, you got a block screen based on like how much budget you had. So, like AI detection, getting it to work just barely was fairly easy, cuz there's like push-up detection, in particular, is one of the most common like examples of how to do visual recognition and and so on. So, it was pretty easy to get like a first version, but then it got harder as we tried to get it like to work for our use case, because in most cases, um they did it from the side, and we really wanted to do it from the front, for example, cuz it goes back again to that what we were talking about, like making the app viral. If the person is doing like the push-ups from the front, it really makes it easier to do influencer partnerships, cuz you just you see their face, it's a bit more appealing and so on. Sure, we had an initial version, but it was completely rewritten at some point, because we moved it to be from the front. Also, like we only did Android, right? So, at some point, we also wanted to do the iOS app, and had to like completely also change the framework and so on to make it work on both, sort of like in without having to code it twice.
Joseph ChoiInteresting, so is this just OpenAI, like OpenAI video?
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More from this episode
- Post a 'Should I build this?' video about the app before building itBlew up on TikTok; MVP shipped 2 weeks later to a waiting audience
- Launch with a video giving free lifetime premium to anyone who installs this week~20K downloads from ~175K views (~10%); only ~$1-2K revenue afterward
- Move your launch followers into a Discord for feedback, bug reports and videos3-4K members; best feature ideas and user videos came from it
- Let your community vote on designs, and build what they ask for 20+ timesPicked a better logo and shaped features; 'minute debt' was asked for 50+ times
- DM 2,000 influencers and pay $800 flat for 4 videosDidn't work: ~138K views drove only 200-500 downloads; lost ~$2K
- Film a stranger-style 'what is this guy doing?' clip, then demo the appKept going viral; the main driver of $30K/month profit
- End videos with 'comment app' and auto-DM the download linkUp to 62K comments on one video; ~90K DMs sent, 33% clicked
- Sell the app openly in videos instead of hiding the adFull-ad videos converted far better than a cinematic version
- Put 80% of effort into the hook; aim for under ~18% skippingTheir breakout video had a ~19% skip rate; 30% means switch format
- Build onboarding as a conversation: goals, pain, past attempts, then your fixConversion rose from ~7% to ~16%; paywall reach ~70%
- Let people try push-up counting and pick workout times before the paywallFounders say it builds trust and lifts paywall conversion; no numbers
- Pay founders you admire to review your onboardingFounders call it their highest-ROI spend; 'completely changed our trajectory'
- Test a 7-day free trial against a 3-day one7-day trial won clearly
- Test a weekly plan against a monthly oneWeekly won, but only slightly more ARPU
- Put a short video of someone using the app on the paywallWon its test, but by a small margin
- Offer about 80% off when someone closes the paywallCalled one of their two biggest tests; no result given
- Build an Android version if most of your viewers are in EuropeAndroid earns as much as iOS or more; 120K vs 40K users
- Post from a remote-controlled US phone to reach American viewersDidn't work; shadowbanned even with the remote US phone
- Pay US students about $1,000 a month to post your winning formatJust started; no results shared
- Let people close the paywall, then charge when they want more scroll time
Tags: visual-hook, demo-friendly, ai-skeleton