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Denislav Jeliazkov

@DenisJeliazkov • 39,652 subscribers

Designer & builder @figuradigital ✦ I try to swim, bike & run ✦ Built for 100+ startups ✦ Build your digital fridge ↓ @nonna_app

Shorts

Over engineering success states because every details matters

Over engineering success states because every details matters

83,706 次观看

I'm an Apple fanboy. Here are 30 times Apple nailed their design: 1) Physical card animation

I'm an Apple fanboy. Here are 30 times Apple nailed their design: 1) Physical card animation

1,181,961 次观看

Apple maps went from being the app everyone laughed at to a genuinely great experience - BUT only in the US. It sucks in most other places. It also still misses some of Google Maps' best features like Street View and business info details.

Apple maps went from being the app everyone laughed at to a genuinely great experience - BUT only in the US. It sucks in most other places. It also still misses some of Google Maps' best features like Street View and business info details.

753,530 次观看

3. Apple Health This one's... confusing. I don't need both Health AND Fitness apps. It's a data gold mine but feels like opening an excel sheet. It also doesn't show where data is gathered and most of the times it's from a watch - which isn't accurate.

3. Apple Health This one's... confusing. I don't need both Health AND Fitness apps. It's a data gold mine but feels like opening an excel sheet. It also doesn't show where data is gathered and most of the times it's from a watch - which isn't accurate.

661,848 次观看

5. Apple Weather Really good. Clean data visualization, intuitive hourly scrolling, and the subtle animations when checking different cities make it feel alive. I also absolutely love the weather-dependent animations. It's beautiful.

5. Apple Weather Really good. Clean data visualization, intuitive hourly scrolling, and the subtle animations when checking different cities make it feel alive. I also absolutely love the weather-dependent animations. It's beautiful.

559,117 次观看

6. Apple Notes It's fast, syncs perfectly, and does EXACTLY what it needs to. The OCR for handwritten notes is magic, and the way you can scan documents now makes it indispensable. After trying Notion and Obsidian, I'm back to Apple Notes.

6. Apple Notes It's fast, syncs perfectly, and does EXACTLY what it needs to. The OCR for handwritten notes is magic, and the way you can scan documents now makes it indispensable. After trying Notion and Obsidian, I'm back to Apple Notes.

520,078 次观看

I'm starting a design war. Here are 10 times Apple's UI obliterated Android's: 1. Superior Notifications

I'm starting a design war. Here are 10 times Apple's UI obliterated Android's: 1. Superior Notifications

287,728 次观看

I asked 35,000 designers what their favorite apps were. These are the 10 best apps in the world (according to the designers of X): 1) Family

I asked 35,000 designers what their favorite apps were. These are the 10 best apps in the world (according to the designers of X): 1) Family

193,678 次观看

I've designed 150+ products and built 60+ apps over the last ~10 years. If I were starting from scratch today as a product designer, here's exactly how I'd become the most badass designer in the world: (Steal this playbook before everyone else does) 🧵

I've designed 150+ products and built 60+ apps over the last ~10 years. If I were starting from scratch today as a product designer, here's exactly how I'd become the most badass designer in the world: (Steal this playbook before everyone else does) 🧵

93,385 次观看

📱 A concept I had lying around. All phones have NFC, and all POS terminals are NFC enabled. Why can't we turn Phones into Terminals?

📱 A concept I had lying around. All phones have NFC, and all POS terminals are NFC enabled. Why can't we turn Phones into Terminals?

296,727 次观看

I HATED this thing. I had to keep looking at the touch strip to see if I was pressing the right button. Totally killed my flow. Thank god they finally brought back real keys in 2020. Some mistakes are just too obvious.

I HATED this thing. I had to keep looking at the touch strip to see if I was pressing the right button. Totally killed my flow. Thank god they finally brought back real keys in 2020. Some mistakes are just too obvious.

78,995 次观看

🚨Launch Alert I've been working on FREE Product Design Challenges to help you build a better portfolio or transition to a new industry. • 70+ challenges • 5 industries • 14 late nights • ALL FREE Like & RT and I will DM you access!

🚨Launch Alert I've been working on FREE Product Design Challenges to help you build a better portfolio or transition to a new industry. • 70+ challenges • 5 industries • 14 late nights • ALL FREE Like & RT and I will DM you access!

138,304 次观看

🪄 A more fun payment success Collab w/ Daniil

🪄 A more fun payment success Collab w/ Daniil

110,314 次观看

Cal AI might be the most viral health app this year. 8M+ downloads, projected to do $30M revenue this year. Built by two teenagers. Everyone's using it. But nobody's talking about the fact that their AI is completely broken... To the point where users are manually correcting EVERY meal. • Bowl of grapes: 60 cal estimate (actually ~260) • 4 boiled eggs: 1,010 cal estimate (actually ~300) • Meat portions: consistently off by 50% These aren't my words, but the reviews you can see for yourself on App Store and other places. If the whole USP is saving time vs manual logging, and you still have to correct everything... what's the point? What Cal AI did get right: Distribution. • Viral TikTok content • Smart influencer partnerships • 8M downloads in under a year They absolutely crushed GTM. But the product doesn't work lol. The gap between the "90% accuracy" claim vs the actual user experience kills trust. And in health apps, trust is everything. This is the problem with AI apps across the board right now. Everyone's racing to ship fast and go viral. Nobody's asking: "Does this actually solve the problem?" Distribution > product quality is a losing game. As a result, you're bound to encounter problems: 1. Training data doesn't match real-world variety 2. No depth sensing for portion size 3. Poor training data on homemade meals 4. Zero context (is that chicken grilled or fried?) You only get fast & inaccurate answers. This is why, when I started building my own recipe app, I looked at Cal and other AI nutrition apps and noticed that being accurate was the biggest factor. Here's how we're building Nonna differently: ✓ Multi-model AI (different models for different foods) ✓ User feedback loop to improve estimates ✓ Manual override that actually trains the system ✓ Ship when it works, not when it's "good enough" If the AI can't nail it, we're not shipping it. But accuracy alone is boring. So we're also adding some additional features that make you want to use it daily: • Fridge Story: shareable infographic of your fridge contents • Mystery Ingredient: weekly cooking challenges • Cuisine Spin: random inspiration when you're stuck • Expectation vs Reality: before/after photo collages Tl;dr: Distribution gets downloads. Product keeps users. Cal got millions of downloads. How many people still use it daily after manually correcting every meal for a week? Viral marketing with a broken product = expensive way to disappoint people.

Cal AI might be the most viral health app this year. 8M+ downloads, projected to do $30M revenue this year. Built by two teenagers. Everyone's using it. But nobody's talking about the fact that their AI is completely broken... To the point where users are manually correcting EVERY meal. • Bowl of grapes: 60 cal estimate (actually ~260) • 4 boiled eggs: 1,010 cal estimate (actually ~300) • Meat portions: consistently off by 50% These aren't my words, but the reviews you can see for yourself on App Store and other places. If the whole USP is saving time vs manual logging, and you still have to correct everything... what's the point? What Cal AI did get right: Distribution. • Viral TikTok content • Smart influencer partnerships • 8M downloads in under a year They absolutely crushed GTM. But the product doesn't work lol. The gap between the "90% accuracy" claim vs the actual user experience kills trust. And in health apps, trust is everything. This is the problem with AI apps across the board right now. Everyone's racing to ship fast and go viral. Nobody's asking: "Does this actually solve the problem?" Distribution > product quality is a losing game. As a result, you're bound to encounter problems: 1. Training data doesn't match real-world variety 2. No depth sensing for portion size 3. Poor training data on homemade meals 4. Zero context (is that chicken grilled or fried?) You only get fast & inaccurate answers. This is why, when I started building my own recipe app, I looked at Cal and other AI nutrition apps and noticed that being accurate was the biggest factor. Here's how we're building Nonna differently: ✓ Multi-model AI (different models for different foods) ✓ User feedback loop to improve estimates ✓ Manual override that actually trains the system ✓ Ship when it works, not when it's "good enough" If the AI can't nail it, we're not shipping it. But accuracy alone is boring. So we're also adding some additional features that make you want to use it daily: • Fridge Story: shareable infographic of your fridge contents • Mystery Ingredient: weekly cooking challenges • Cuisine Spin: random inspiration when you're stuck • Expectation vs Reality: before/after photo collages Tl;dr: Distribution gets downloads. Product keeps users. Cal got millions of downloads. How many people still use it daily after manually correcting every meal for a week? Viral marketing with a broken product = expensive way to disappoint people.

37,989 次观看

6) Instagram’s recommend-a-thon @Instagram's feed is a random stranger parade. Content from the 600 accounts I follow? Nah. Instead, my feed is packed with reels from total strangers. Give me a simple "Following Only" toggle?

6) Instagram’s recommend-a-thon @Instagram's feed is a random stranger parade. Content from the 600 accounts I follow? Nah. Instead, my feed is packed with reels from total strangers. Give me a simple "Following Only" toggle?

57,044 次观看

Recent build for Pickup 🏀

Recent build for Pickup 🏀

22,369 次观看

@airbnb's new update that came out this year is absolutely beautiful. Their new design language is holographic, glassy, & ultra-tactile. They're literally becoming the new Apple, and this proves it.

@airbnb's new update that came out this year is absolutely beautiful. Their new design language is holographic, glassy, & ultra-tactile. They're literally becoming the new Apple, and this proves it.

20,978 次观看

7. Lyrics/subtitles integration is super cool: It syncs perfectly, highlights the current line, and keeps it clean. This is one of those features that brings me actual joy - and Apple Music still hasn't caught up after years of trying.

7. Lyrics/subtitles integration is super cool: It syncs perfectly, highlights the current line, and keeps it clean. This is one of those features that brings me actual joy - and Apple Music still hasn't caught up after years of trying.

23,583 次观看

iOS Notifications have a beautiful bounce animation that feels weighted. Notice how the notifications don't just appear - they settle in with a satisfying "plop" feeling. Android is functional, sure. But not fluid and haptic. It lacks the "feel."

iOS Notifications have a beautiful bounce animation that feels weighted. Notice how the notifications don't just appear - they settle in with a satisfying "plop" feeling. Android is functional, sure. But not fluid and haptic. It lacks the "feel."

16,688 次观看

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As a product designer, here are 8 of my favourite designers on X: (with a breakdown of their best shots) 🧵 1. rauno - show me a more interactive website, I'll wait

As a product designer, here are 8 of my favourite designers on X: (with a breakdown of their best shots) 🧵 1. rauno - show me a more interactive website, I'll wait

Denislav Jeliazkov

93,946 次观看 • 10 个月前

Figma design systems in one click! Finally I won't spend decades building it perfectly. Comment below if you want early access to it!

Figma design systems in one click! Finally I won't spend decades building it perfectly. Comment below if you want early access to it!

Denislav Jeliazkov

25,762 次观看 • 2 个月前

3. App Switching Watch the video for the side-by-side. With iOS, you can close FIVE tabs at once with each finger. I don't know who would even do that, but they get UI points for it. The gestures are smooth & powerful - Android isn't bad, but again it doesn't FEEL as good.

3. App Switching Watch the video for the side-by-side. With iOS, you can close FIVE tabs at once with each finger. I don't know who would even do that, but they get UI points for it. The gestures are smooth & powerful - Android isn't bad, but again it doesn't FEEL as good.

Denislav Jeliazkov

56,120 次观看 • 1 年前

Revolut is becoming an "everything app" beyond just banking. I literally booked a hotel last weekend for €6 for two nights (plus a free massage) using Revolut points. It has a clean, consistent UI that doesn't try to do too much at once.

Revolut is becoming an "everything app" beyond just banking. I literally booked a hotel last weekend for €6 for two nights (plus a free massage) using Revolut points. It has a clean, consistent UI that doesn't try to do too much at once.

Denislav Jeliazkov

44,843 次观看 • 1 年前

Jakob's Law is simple: Users bring expectations from EVERY other app they've used before yours. This means people prefer your product to work the SAME WAY as products they already know. Break this, and you're training users from scratch. Good luck with that.

Jakob's Law is simple: Users bring expectations from EVERY other app they've used before yours. This means people prefer your product to work the SAME WAY as products they already know. Break this, and you're training users from scratch. Good luck with that.

Denislav Jeliazkov

41,083 次观看 • 1 年前

Hick's Law states: The more options you give users, the longer they take to make a decision. Here's the fancy formula: T = b × log₂ (n + 1) In plain English: More choices = exponentially more brain processing time.

Hick's Law states: The more options you give users, the longer they take to make a decision. Here's the fancy formula: T = b × log₂ (n + 1) In plain English: More choices = exponentially more brain processing time.

Denislav Jeliazkov

32,897 次观看 • 1 年前

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