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Hey there:)
I’m so excited to share this project since I wanted for such a long time to start a strong branding and promo campaign for our E-commerce platform - Zada Shop, and Kittl finally made that possible in a way that felt fast, intuitive and with amazing features. This was actually my first time using Kittl, and I truly enjoyed the entire process. All images and videos were created with Kittl only. Just the final video assembly and the glowing text overlays were created in CapCut.
Here is the link to my project in Kittl: https://app.kittl.com/project/cmmuzng8d3rd80i6gpncu2k81
TikTok: https://vm.tiktok.com/ZNR9A5n3w/
X: https://x.com/kz23852756/status/2034084277172723912?s=48&t=n5MkL_HyVnaTJYqm4NqqXQ
Thank you for the opportunity!
This was actually my first time using Kittl, and I truly enjoyed the entire process.
I hope you enjoy my submission as much as I enjoyed creating it :)
And apologies that the process video is not more polished, I ran short on time at the end, but I still wanted to share the full idea and creative direction behind the project.
The video was intended to be a promo video for the new Update for Zada Shop - https://zadawebsystems.com/en/
zadawebsystems.com
Agentie digitalizare & Platforma E-commerce — Zada Web Systems
Lansează un magazin online rapid și sigur, cu plăți, analiză (analytics) și automatizări. Construit pentru SEO și performanță. Servicii de Incredere. Software automatizare flux documente.
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🚨 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
I'm so excited!!! I made this cinematic scene using seedance 2.5. All I can say is wow... this is amazing.
Really impressive work
website design done in framer, case study coming soon😍
Your sense of balance and proportion is inspiring
