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CARBEX — Rethinking Performance E-commerce | UI/UX Concept
CARBEX is a concept UI/UX project created purely for portfolio purposes. I have no affiliation, partnership, or professional relationship with the CARBEX brand.
The project explores a real-world UX opportunity:
How can a sports-lifestyle e-commerce experience become more than just product listings and transactions?
I designed the experience around:
Product discovery
Clear navigation
Performance + lifestyle storytelling
Editorial content
Interaction design
A more connected path from discovery to purchase
What I worked on
UX Strategy · Information Architecture · UI Design · Interaction Design · Visual Direction · Responsive Experience
🔗 Explore the full UI/UX experience:
[https://carbex-core-design.lovable.app ]
🔗 Read the complete UX/UI case study:
[https://carbex-movement-story.lovable.app ]
The case study explains the problem → thinking → UX strategy → design decisions → final experience → future possibilities behind the project.
This is a concept project — no real business results or user research claims are being presented.
💬 I’d love your feedback:
If you were using this experience as a customer, what would you improve to make the journey clearer, faster, or more useful?
And if you're a founder, startup, or business looking for a designer who focuses on solving real user problems—not just making beautiful screens, feel free to connect or reach out.
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Meet a new concept for photo gallery mobile app 🖼️ Share your feedback
Looks great
🚨 MOST PRODUCTIVITY APPS DON’T HAVE A RETENTION PROBLEM.
THEY HAVE A VALUE-COMPOUNDING PROBLEM.
They help users capture more:
📝 More notes
🔗 More links
📸 More screenshots
🎙️ More voice memos
But a larger archive does not automatically become a more valuable product
The real test starts later:
❓ WHAT HAPPENS AFTER THE USER HAS ALREADY CAPTURED 300 THOUGHTS?
That is where most products quietly fail. Because the archive grows. But the user’s understanding does not.
A voice note from Monday.
A screenshot from Thursday.
An article saved two weeks later.
A sentence typed at 1 AM.
Individually, they look unrelated.
But sometimes they are the same unresolved question appearing in different forms.
And this is where AI becomes genuinely interesting.
Not when it summarizes another note.
Not when it rewrites another paragraph.
Not when it gives users another chat box.
But when it recognizes:
🧠 YOU HAVE BEEN CIRCLING THE SAME PROBLEM FOR 12 DAYS.
For this concept, the core mechanic was built around one distinction:
⚡ FREQUENCY IS NOT REPETITION.
REPETITION IS EVIDENCE.
A thought mentioned once may be noise.
A thought mentioned four times across different contexts may be a signal.
And a product that can detect that signal can create value a normal archive cannot.
01 - CAPTURE
🎙️ The thought should enter the system before it disappears.
No folders.
No tagging.
No forced structure.
02 - UNDERSTAND
AI extracts the underlying meaning.
“Maybe onboarding should get people to value faster…”
becomes:
💡 REDUCE TIME TO FIRST VALUE.
That is already more useful than transcription. But it is still not the interesting part.
03 - CONNECT
The system sees another thought about activation.
Then an article about onboarding. Then a screenshot. Then another voice note. Now the product has enough context to say:
🔁 YOU KEEP COMING BACK TO THIS.
4 mentions.
12 days.
At that moment, the system is no longer helping the user remember information.
It is helping the user recognize importance.
04 - TURN CONTEXT INTO VALUE
This is where the growth logic changes. Most retention loops ask users to come back and repeat the same action:
📝 Create another note
📊 Track another habit
🍽️ Log another meal
✅ Complete another task
A stronger loop can work differently:
📈 EVERY NEW INPUT INCREASES THE VALUE OF PREVIOUS INPUTS.
The product becomes better not simply because the user used it more often, but because accumulated context creates new insight. That creates compounding value.
Day 1:
The product understands what you said.
Day 10:
It understands what keeps repeating.
Day 30:
It may understand what deserves action.
That is a much more defensible form of retention. Because the user’s history is no longer just stored data. It becomes product intelligence.
✨ AI SHOULD NOT JUST HELP USERS PRODUCE MORE.
IT SHOULD HELP THEM NOTICE WHAT THEY ARE ALREADY REVEALING THROUGH THEIR OWN BEHAVIOR. That is where a note-taking product stops being an archive. And starts becoming a thinking system.
👇 FULL CASE STUDY BELOW
👉 BOOK A MOBILE APP SESSION
Should animation simply catch attention, or invite interaction?
In the first version, the abstract form continuously transforms on its own. It keeps the hero section dynamic and atmospheric without requiring any action from the user.
In the second version, the object reacts to cursor movement through a parallax effect. The experience becomes more playful, immersive, and responsive.
One gives users something to watch. The other gives them something to influence.
Which approach works better for a hero section: automatic motion or interactive animation?
79 voted
82%
17 voted
18%
96 votes
Closed
The option 1
