UpSide

Motoride came in at $1.5 CPI, 3.3× cheaper than Pody's ~$5. For a brand-new app in a passionate niche, that's exactly the kind of demand signal we build for. Riders are finding it, and they're finding it cheap. But we've learned this lesson before: a cheap install proves nothing about payment. So we spent the week getting Motoride ready for the real test — creatives staged, pricing tuned, purchase funnel in place. As of this Monday, Motoride enters CPP testing. Installs told us riders are curious; purchases will tell us if they pay. That's the number we actually care about — and it's the next one we'll report back with.

This month was all about building real products instead of MVP experiments. We made a deliberate call early on with Scate.ai: no app goes into testing until it's a complete, full-feature version of itself. So we brought Motoride, Runday, and Skylore all the way up to their finished states before putting anything behind them. Motoride, our motorcycle route app, crossed the line first and is now live in the App Store — our fourth app out in the world. It's a category we love: riders are passionate, they plan obsessively, and they pay for tools that make the ride better. Skylore, our AR astronomy app, hit its testing phase on Juny 4. The timing couldn't have been better — the SpaceX IPO sent a wave of public interest toward space, and we've already felt it pull through to Skylore, with its SpaceX Live Tracker and Starlink features landing right as that curiosity peaked. Runday, our family-organization app, is right behind it. It's fully built out — Mental Load Bar, Ghost Tasks, the works — and lined up to enter testing next in the sequence. So here's where we stand: four apps — Pody, Runday, Skylore, and Motoride — each sitting in a category with a large, paying audience. None of them are thin MVPs; they're real products doing real things.

Your family's week, finally organized. Snap a photo or record a voice note — Runday turns it into one shared calendar.

This week we made a hard call: we shut down our AI news podcast, Pody, because the CPI was too high to scale and pivoted to Runday, a family organizer for parents juggling activities, appointments, and chores. We built the full flow this week. The app goes into App Store review tomorrow, and once it's live we start testing creatives and pull our first CPI numbers.

Last week we made a hard call. We shifted focus from AI News Podcast to Monday for Parents — a family organizer app. The pivot wasn't random. We saw a real churn opportunity. Frustrated Cozi users, vocal on the App Store, are actively looking for an alternative. The use case was clear. The timing felt right. So we moved. This week we built. Tomorrow the app goes into App Store review. If it clears — and we're hoping it does — here's what the next 7 days look like: → App goes live → First creatives go into production → CPI test launches next week We're not waiting to be perfect. We're testing to learn. More updates coming. Fingers crossed on the review. 🤞

Pody is live on the App Store We genuinely appreciate your feedback 🙏🏻 Check it out 👉🏼 https://lnkd.in/e9SkhXuB

We built it in 48 hours. Now we're waiting for our first users. 🎙️ You don't have to spend time reading the morning news — AI News Podcast app collects the day's headlines from X and the web, and automatically turns them into a podcast. You just listen. We're in beta. Try it, tell us what you think. Link in bio 👇 Leaving a review on the App Store would mean the world to us 🙏 #ainewspodcast #hackathon #mobileapp #buildinpublic #aiapp #appmarketing

We launched AI News Podcast app. First creative test starts now. On April 10-12, we joined the Neon Apps x RevenueCat x Scate.ai hackathon. We built AI News Podcast app from scratch in 48 hours — and made it to the top 6 finalists. Last week, the app went live. Now the real work begins: growth. App Marketing 101 — going live isn't the finish line, it's the starting line. Our next step is running the first creative test. And a good creative test starts with solid use case research. Here's how we did it. I opened the Leus Visua to search in Meta, Tiktok and Admob Ad Library. Searched across text-to-speech, AI audio, and news aggregator categories. Studied which hooks are being used, which user problems are being highlighted, which formats have longer lifespans. Then I moved to Pinterest Trends. Tracked the direction of terms like "AI podcast", "morning routine", "news summary" — and scanned organic content to understand how users actually express this need. 3 use cases emerged: 1. Morning routine — The user who doesn't want to spend time reading the news while making coffee. Hands free, stay informed. 2. Commute — The user who can't read while driving or walking but still wants to consume information. Podcast format wins here. 3. Information overload — Professionals who want to stay up to date but can't find the time. Catch up on the day in 3 minutes. We're now turning these 3 use cases into creatives. We'll see which message converts with which audience — and I'll share the results here.