The Feed

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.

Drone Scout helps drone pilots check key flight conditions before taking off. No-fly zones and altitude ceilings can be reviewed on the map, while wind, gusts, visibility, and temperature are evaluated based on the selected location. With AI support, pilots can find better flight windows, plan safer flights, and save them for later.

Over the last month, we spent around two weeks going back into audience research. After Walkable’s CPI tests, we looked at three new audience candidates: drone pilots, equestrians, and preppers. Together with Scate, we reviewed the apps these groups already use, how often they use them, and how strong the mobile app habit is in each niche. Around two weeks ago, drone pilots started to stand out. The main reason was simple: drone users already rely on different apps for weather, maps, legal flight zones, and flight planning. Through Reddit research and market checks, we also saw that this audience has a real dependency on mobile tools before flying. That is how Drone Scout started. The goal is to bring no-fly zones, map-based flight planning, weather conditions, and AI-powered flight recommendations into one simple app. Users should be able to check whether a location is safe to fly, understand the risks, and save their flight plans before going out. Our first version passed App Review last week. Based on Scate’s feedback, Version 2 will be ready this week with a new UI and improved AI chatbot features. After that, we will start CPI tests as fast as possible. At the same time, we also started purchase campaigns for Walkable last week, and we are still tracking the data together with Scate. App Growth Championship taught us a lot. We learned from Walkable, failed CPI tests, searching promising audiences, from App Reviews, and from the real pain points of trying to scale in the US market. It was a fun and very honest process to share these updates. Thanks to everyone who followed the journey. We’re leaving this phase with sharper instincts, better questions, and a new product to test.

This week, we continued expanding SewBuddy’s core systems. Our database has grown significantly, and the product architecture is becoming much more sophisticated as we build the foundation for long-term scale. Our acquisition campaigns continue to show positive signals, and we’ve significantly improved our data tracking. We now monitor every scan in real time—from the input itself to whether the result was successfully generated—giving us much better visibility into product performance and user behavior. We’re increasingly confident in the product’s potential. We continue to deepen its capabilities by making more effective use of AI, structured knowledge, and specialized skill sets, allowing the product to become smarter and more capable over time. We see this as just the beginning. The deeper we go with our AI systems, content, and data, the stronger the product becomes. Early signals continue to reinforce our belief that investing in depth will lead to better long-term results. Our focus remains the same: keep strengthening SewBuddy every week and turn it into a product that’s increasingly difficult to replicate.

We finally submitted our new app, and this week we started running ads for it. The product page received around 400–500 views, which turned into roughly 120–150 downloads. But the most important part is this: we got our first 2 paid subscriptions. Both of them were annual subscriptions, bringing in around $120 in revenue. Now the next step is to understand exactly where these users came from, why they converted, what motivated them, and how we can double down on that. We’ll keep testing ads, improving the product, polishing the experience, and learning from every single data point. That’s our update for this week — stay tuned.

We’ve been quiet on the feed because we were heads down executing. No pivots, no direction changes. The idea we brought from the hackathon is the same one we’re scaling today. Our CPI tests gave us the confidence to keep building deeper instead of starting over. We’ve been running our first purchase campaigns with Scate AI and the early results have given us even more confidence in the direction we’re heading. The honest part: weekly subscription retention isn’t strong yet. Before scaling spend, we wanted to make sure everything is dialed in. So while campaigns kept running at the same volume, we spent our time fixing the product in parallel. Paywall improvements. Smoother post-scan flow. Cleaner analysis screens. Better error handling. Core navigation restructured with two clear main flows instead of three overlapping ones. We also fixed our analytics from the ground up. We weren’t tracking onboarding conversion or tool usage properly. Now we are. The improvements are already live, and we’ve been closely monitoring how they’re performing. Scale comes next 🚀

Building More Depth Into SewBuddy This week reinforced our confidence in SewBuddy. The marketing results validated the direction we’re taking, so we’re continuing to invest in the product and focus on adding significantly more depth. Our priority is expanding the experience with richer categories, trends, sewing patterns, and a much larger content database, while introducing features that improve retention and increase renewable purchases. It’s a substantial effort, but AI is allowing us to build and scale this foundation far more efficiently. We believe SewBuddy has reached a level where it stands among the strongest products in its category. From here, our goal is to build enough depth, proprietary content, and AI capabilities that it becomes exceptionally difficult to replicate. We’ll stay fully focused on SewBuddy for the rest of the tournament and keep raising the bar every week.

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.

This week, we released several new SewBuddy versions with minor bug fixes and product improvements. On the creative side, we focused on developing stronger hooks for the first few seconds of our videos. While Scate AI has been producing a large volume of creatives, we concentrated on creating the first 5 seconds of videos tailored to the audience we have been learning about since we started development. On the Gemstone side, we expect to have clearer results next week. While working on SewBuddy creatives, we have also been building an internal AI agent that analyzes successful creatives and popular social media concepts, learns them as skills, and then helps generate new video ideas and assets more efficiently. Both SewBuddy and Gemstone are serving as the first projects where we are applying and refining this approach.

🚀 Quick update from Kant Labs • Easyspell CPI tests didn’t reach the numbers we were targeting. • We believe seasonality played a major role — school-focused apps are harder to grow during the holiday period. • Instead of forcing growth, we’re planning to revisit Easyspell closer to the back-to-school season. • In the meantime, we’ve built a new product: WristDeck. • WristDeck lets users record audio from their Apple Watch and automatically sync it to their iPhone. • The app generates transcripts, summaries, flashcards, and quizzes from recordings. • Early feedback showed that Apple Watch-focused creatives performed surprisingly well, which encouraged us to explore this direction further. • Next on our roadmap: * Audio file imports * Better UI/UX * More advanced quizzes * Smarter flashcards * Higher-quality AI outputs Excited to see where the next round of tests takes us. 🚀

This week, we focused on bringing SewBuddy to a point where we feel confident in both the product experience and its monetization potential. To support this, we continued investing in the AI engineering side of the product, improving both low-cost pattern generation and visual sewing guides. The experience is already valuable today, and we see significant room for further improvements over time. On the Gemstone side, we launched a new batch of creative tests. We are excited to see the results and learn whether the new concepts can improve performance compared to our previous experiments.

This week we focused primarily on SewBuddy. SewBuddy is now live on the App Store, and we have officially released Version 1.0. Users can take a photo of a garment, fabric, or sewing project and receive AI-generated sewing guidance, pattern suggestions, and step-by-step recommendations. We believe we reached the scope aligned with our mentors and the product is now ready for purchase campaign testing. We're excited to start gathering real user data. On the Gemstone side, we focused on concept exploration and reviewing previous creative test results. Our goal is to launch a new test next week and share early purchase campaign learnings soon. Stay tuned — we hope to have meaningful results to share for both products over the coming weeks.

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.

We’ve been comparing a few niche communities with stronger habits, clearer problems, and better market signals. Here, Soon...

Last week, we shared that Walkable’s CPI tests gave us a pretty clear signal: this probably isn’t the direction we should force. Since then, we’ve been exploring a few new directions around niche communities with very specific real-world behaviors. Some are built around tools, movement, and outdoor decision-making. Some are tied to expensive hobbies where trust, safety, and routine matter a lot. And some are about people who take preparedness much more seriously than the average person. Different worlds, but the same pattern: strong habits, clear pain points, and communities that already spend money to solve problems. This week is about narrowing the field, talking to the right users, and understanding which problem has the strongest pull...

- We have submitted our new sewing app for review and are currently waiting for approval. Our goal is to have it ready for CPI testing this week. We have also finalized the update roadmap and will share it once the app is approved. - On the Rock app side, after testing alongside Skate, we continued running creative tests with our own concepts and achieved lower CPI results. This allowed us to explore angles we had not previously tested. - One of our main focuses was the "Real or Fake?" concept, as we noticed that many of the top-performing creatives in this category were built around this theme. We tested multiple variations and identified a strong-performing format. - Our plan is to double down on this winning angle and launch a new round of creative testing. The results have helped us narrow our focus, and we believe there is still room to improve both CPI and conversion performance. - We will continue evaluating the impact of our latest eMPC/CPI tests and will share further results and learnings over the coming weeks.

We have submitted our new sewing app for review and are currently waiting for approval. Our goal is to have it ready for CPI testing this week. We have also finalized the update roadmap. On the Gem ID side, after testing alongside Scate, we continued running creative tests with our own concepts and achieved lower CPI results. This allowed us to explore angles we had not previously tested. One of our main focuses was the "Real or Fake?" concept, as we noticed that many of the top-performing creatives was in this category. We tested multiple variations. Actually let me show you some examples now. Our plan is to double down on this winning angle and launch a new round of creative testing

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. 🤞

Not every idea survives the test. Walkable didn’t pass the CPI benchmark, but it helped us narrow the next move down to three promising audiences. Back to building.

Well… the CPI tests humbled us a little 😭 After spending the week analyzing the numbers, we realized something pretty quickly: instead of forcing this app idea further, it probably makes more sense for us to move on to a new one entirely. And honestly? That’s not even a bad feeling. One thing Growth Lab is teaching us fast is that getting attached to an idea is dangerous. Sometimes the best outcome from testing is simply realizing: “okay… this probably isn’t the one.” The fun part is that we’re already discussing new concepts that feel way more exciting from both a product and growth perspective. Nothing finalized yet, but the conversations this week were genuinely some of the best we’ve had so far. So for now, more chaotic whiteboard sessions...

So far: • We are no longer continuing with the previous application in a focused way. • We finalized the concept of our new app and are currently in the development phase. • Our main goal is to make it ready for CPI testing as soon as possible. • The app is again focused on the hobby space. • There are very few apps in this category, and we aim to differentiate ourselves with deeper features and experiences that existing apps don’t offer. • We can share more details about the concept next week as we further refine it. • We also launched some narrative tests for our Rock app to validate a few ideas we wanted to experiment with. We’ll share the results in the coming weeks once we have clearer data.

So far: • We are no longer continuing with the previous application in a focused way. • We finalized the concept of our new app and are currently in the development phase. • Our main goal is to make it ready for CPI testing as soon as possible. • The app is again focused on the hobby space. • There are very few apps in this category, and we aim to differentiate ourselves with deeper features and experiences that existing apps don’t offer. • We can share more details about the concept next week as we further refine it. • We also launched some narrative tests for our Rock app to validate a few ideas we wanted to experiment with. We’ll share the results in the coming weeks once we have clearer data.

This week was a big one for Walkable. We officially launched Walkable V2, redesigned parts of the routing system, and kept pushing the app closer to what we originally imagined it could feel like. One of the biggest updates was around lighting data. We built a new dataset focused on street lighting across supported cities, then used it to improve how Walkable Scores are calculated. Turns out lighting changes the feeling of a route a lot more than we expected. We also updated route recommendations to better match different situations: sometimes you want the fastest route, sometimes you just want the route that feels better. So routes are now split into Comfort and Time modes. We also shipped a bunch of map UI improvements after reading through user feedback (keep it coming pls 🫶) And on the growth side, we started running CPI tests for Version 1 together with Scate AI, which has been both exciting and slightly humbling 😄 Still a lot to improve. But Walkable is starting to feel more and more real every week.

Updats from the last week: - Version 2 went live - Lightning data is added to the dataset for each city - Scoring mechanism now includes and is affected by lightning data - Routes are categorized as the Fastest and Comfortable - UI improvements based on the user feedbacks - High CPI observed, team is running new ideation

This week, we have a bit of difficult news to share. Over the past period, we had been doing deep research around the gemstone space and continuing to build the product further. However, after testing the concept together with our mentors and Scate, we saw that the CPI evolution was too high, and we started to feel that this idea did not have a strong enough market to justify going deeper. Because of that, we decided to park the Gemstone idea for now. The good news is that we already have multiple new directions in mind. We will be narrowing them down this week and immediately starting development on the one we believe in most. So while this is the end of one direction, it is also the beginning of a new and exciting one.

we already have multiple new directions in mind. We will be narrowing them down this week and immediately starting development on the one we believe in most. So while this is the end of one direction, it is also the beginning of a new and exciting one.

What has been done in the previous week: - Updated the App Store description, including clearer links and stronger emphasis on the OCR feature. - Made the onboarding flow more consistent and easier to follow. - Improved UI details such as feedback texts and the mascot appearance. - Checked the age rating: the selected range currently appears as 9–11, while Apple displays the app as 4+. - Lowered the minimum iOS requirement to iOS 16.4. - Further improved the product description and positioning. - Started CPI testing with Scate AI. - Began sourcing UGC creators from the United States for Easyspell marketing. Lets Go!!

Big update from our side! Our first official campaign is now live, and the traction has been amazing. Right now, we’re analyzing onboarding flows and paywall conversions to improve the user experience and reduce churn. We’ve expanded our coverage to 27 cities across 15 countries in Europe, with 100+ cities now live in the US as well. A lot more coming soon. 🌍

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

One thing we’ve learned very quickly: building the product is only half the job. Understanding how people actually move through it is the other half. Over the past week, we’ve been spending a lot of time watching user behavior, testing assumptions, and identifying where people feel friction inside the app. Some things worked exactly how we imagined. Some definitely didn’t 😄 That’s probably the most exciting part of this whole process. We’re also continuing to scale the infrastructure behind Walkable. Our map database now covers 250+ cities, and we’re constantly improving how routes are evaluated and surfaced across different regions. A lot of the work right now is invisible to users but it’s the kind of work that makes the product stronger long term. Until next time!!!

This week we started preparing for creative CPI testing after aligning on a clearer product direction together with our mentors. One thing became very clear during this process: we don’t want to build “just another scanner app.” We want to understand what people actually care about in the gemstone world and build around those behaviors and emotions. So recently, we’ve been deeply researching the audience itself — watching long-form YouTube videos, analyzing highly engaging TikToks, exploring Reddit communities, and trying to understand what truly creates interest and connection. Is it the excitement of finding stones in real locations? The polishing and shaping process? Daily usage? The emotional meaning behind gemstones? Or the collecting journey itself? Our goal is to identify real user interests and pain points, then turn those insights into meaningful features and experiences inside the app. Still early, but excited about the direction we’re heading.

This week we started preparing for creative CPI testing after aligning on a clearer product direction together with our mentors. One thing became very clear during this process: we don’t want to build “just another scanner app.” We want to understand what people actually care about in the gemstone world and build around those behaviors and emotions. So recently, we’ve been deeply researching the audience itself — watching long-form YouTube videos, analyzing highly engaging TikToks, exploring Reddit communities, and trying to understand what truly creates interest and connection. Is it the excitement of finding stones in real locations? The polishing and shaping process? Daily usage? The emotional meaning behind gemstones? Or the collecting journey itself? Our goal is to identify real user interests and pain points, then turn those insights into meaningful features and experiences inside the app. Still early, but excited about the direction we’re heading.

We added heatmap integration. Ran AI on street-level data. Built a full dataset. Now we cover most of the US, and major cities in Europe. All integrated into the map. Better routes, Better scores, Better UX!

We are here!

Hey, we’re Kant, and here’s how our week went: This week we shipped a stronger Easyspell flow across onboarding, practice, stories, parent insights, and paywall. Kids now get a smoother start, more personalized story-based spelling practice, better audio behavior, and clearer progress tracking for parents. On the marketing side, we started sourcing UGC from moms in the US, and we’re preparing to launch Meta ads with Scate AI to test our first paid acquisition loops. Overall, this week was about tightening the product experience and starting to build the growth engine around it.

It’s been around 8–9 days since Walkable went live, and we’ve been in full iteration mode since then. We’ve been focusing on improving the experience, listening closely to user feedback, and preparing the next set of updates. We’ll also be sharing a video of what we worked on this week, a bit more behind the scenes on what’s been going on 👀 Next up: shipping updates based on our latest tests ❤️ Also… we may or may not have printed Walkable t-shirts this week. (felt cute might delete later?) More to come!!!!

We kicked off this testing phase by using our onboarding and welcome bonus, jumping straight into the core experience with a real use case. The stone you see here is something we genuinely found outside—we didn’t place it or stage anything—so this is as close as it gets to a real user moment. From there, we scanned it to understand what it is, explore its properties, and see how it connects to us on a more personal level, like zodiac compatibility or potential use cases. At the same time, this wasn’t just about the scan itself. We’re actively testing the latest version of the product, which we refined after multiple discussions with our mentors. We received a lot of valuable feedback around experience, clarity, and depth, and this version reflects those improvements. So this moment is both a product test and a validation step for the direction we’re taking. It’s been a really exciting process so far. This is just the beginning—we’ll continue iterating, improving the experience, and building a product that people can come back to every day.

We tested our latest update by scanning a real stone we found outside—exploring its properties, value, and zodiac connection. This is just the beginning.

What if your route wasn’t just faster, but safer? 📍 We built Walkable, a safe route planner designed for moments when getting somewhere isn’t the only priority. Whether you’re in a new city, walking late at night, or just want to feel more comfortable on your way, Walkable helps you choose routes that feel right, not just the quickest ones. This is the idea we brought to the championship — and it got us into the top 6 and into the Growth Lab phase. Right now, we’re focused on improving, testing, and scaling Walkable with real user feedback. It’s still early, but we think navigation can be more than just getting from A to B. Walk safer, not just faster. 🟢

We spent most of this week making things actually work. Set up the SDKs, connected subscription methods, and had our fair share of back-and-forth with Apple along the way. Walkable is now live (on the second try… which we’ll take 😅). We also had our first growth session with Scate AI. Lots of ideas, lots of “okay we need to rethink this”. Meanwhile, we’ve been working on new updates in the background. Planning to ship a new version next week, pretty excited about that 👀

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.

Easyspell is live!