Serhan Baydı (@serhandesign) header
Serhan Baydı (@serhandesign) profile picture

Founding Designer at @appgco | Launch in days, scale to millions. Free meet 👇 Let's have a call to discuss your idea.

Joined October 2025
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ai changed a lot but some things still matter just as much: taste judgment communication sales distribution positioning understanding people knowing what to build knowing what to ignore moving fast consistency ai can make you faster. it can’t decide what’s worth doing for you. the tools changed. the fundamentals didn’t.
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how long until keyboards are gone?
Mobile devs this one’s for you: test your apps directly on the MacBook Pro’s touchscreen!!!! 👆📲
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vertical feels better
a time picker you actually want to drag ⏲️
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Google’s AI strategy: if there’s an empty pixel, put Gemini there.
Anthropic: We have the best model. Google:
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Don’t trust pricing advice without context. $29.99 yearly can work. But so can weekly. So can monthly. So can free trial. It depends on: user intent value speed category retention acquisition cost There is no “peak” pricing model. There is only the model that fits your product best.
$29.99 yearly. No monthly. No weekly. No free trial. Just trust me. This is PEAK.
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gm. has anyone still not learned this yet? 😄
STOP BUILDING. Start marketing. Thank me later.
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blackjack trainer is the new AI calorie tracker 😄
blackjack trainer app'i yapmayan kaldı mı?
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The clearest one usually wins. That’s why I’d pick #2. You understand it instantly. Clear beats clever.
Which one would you click first?
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Onboarding length is not the conversion lever. User intent is. If the problem is clear and the value is obvious, a simple flow + clean trial offer can do a lot of work. $2M MRR with this setup says enough.
$2M MRR with a very simple onboarding, it must convert incredibly well $29.99/year with a 7-day free trial or $4.99/month
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Free app icons. Copy prompt + paste and use.
🥶 10 MORE FREE APP ICONS 🎁 ANOTHER ICON DROP Apparently, we can’t stop making these. More icons. More every week. Steal away. 🔗 Link in bio.
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yes. made with GPT only.
çoğu kişi bu app icon'ları sadece gpt kullanarak ürettiğime inanmıyor..
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We built quietly. RevenueCat made it official. $1M/month club. Just getting started 💪
Am I rich really? @RevenueCat
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We kept seeing the same problem: Good apps with forgettable icons. So we built a free icon library with ready-to-use mascot concepts. Pick one. Remix it. Ship faster.
USE MASCOTS IF YOU CAN A mascot does more for app feel than a color palette ever will. Users recognize a character faster than a hex code, and they warm to it faster too. We built many into App Genie Icons. Pick it, change the prompt, make it yours. Free. Ten minutes. Not a later task. :)
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Free app icon library 👇 Copy prompt + paste and use.
We just launched something COMPLETELY FEEE. 🤯 App Genie App Icon Library 🤖 A library of AI-generated app icons. 😈 Go steal them Every icon comes with the exact prompt that made it. Download the icon, or steal the prompt, swap the subject, and generate your own. We've designed icons for 200+ apps at App Genie. The ones that work are almost never the clever ones. They're the ones that stay readable at 60px on a busy home screen. That taste is what went into these prompts. 38 icons at launch. More every week. Free, no signup, no catch :)
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is it just me, or is GPT image generation not working? i haven’t been able to generate anything since last night.
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World Cup 26 App Icon
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AI doesn’t save a weak product. It only amplifies what is already there. If the onboarding is confusing, AI won’t fix it. If users don’t understand the value, AI won’t fix it. If retention is weak, AI won’t magically make people come back. In mobile apps, the foundation still matters: clear positioning simple UX fast value moment strong onboarding clean paywall retention loop AI can make a good product more powerful. But it won’t turn a broken product into a business. Fix the core first. Then make it intelligent.
DO NOT ADD NEW FEATURES BEFORE FIXING WHAT'S BROKEN AND PROVING THE CONCEPT FIRST! Everyone's racing to add AI to their app. But 80% of them fail because of a very simple reason: They put AI on top of a broken product. And then the product keeps failing, just with a higher cost. Don't forget: - AI doesn't fix bad UX. - AI doesn't fix confusing navigation. - AI doesn't fix a value prop nobody gets.
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You don’t always need a new app idea. You need a proven demand with a sharper angle. Check what people already download. Check what they already pay for. Check what they complain about. That’s where the opportunity usually is. The best app ideas are not always invented. Sometimes they are discovered inside existing markets.
Do you really need to invent the idea to make money? Definitely no! You just need to Christopher Columbus it. You want to earn money. You know the potential in the mobile app world. You just don't know what to build. Here is the easy way: Go to Sensor Tower. Go category by category. Check what people are downloading. What they're paying for. That's it. That's one of the best strategies I use. I was doing this today and saw Sherlock - an AI face search app. I don't know the founder, but if you do, you can tag him. (It would be nice to meet :)) Maybe there's some paid marketing in the app, but still - it's a great success: $60K revenue in just 6 months 🤑 Anyway, what I'm trying to say is that you can figure out what to build and where to start just by checking what's already working. Most people are waiting for an original idea to strike - while the smart ones are already on Sensor Tower 🙃
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Big categories don’t create big opportunities. Clear user intent does. "Fitness app" is too broad. "10-minute abs at home" is clear. "AI photo app" is too broad. "Better LinkedIn profile photo" is clear. The money doesn’t always go to the biggest category. It goes to the clearest promise.
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Monday blues? Never heard of it :)
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