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A feature only you understand is a feature only you will use.
Ten years designing products and the same disconnect shows up on almost every one. The founder builds something and knows exactly what it's for. The user opens it and has no idea.
There's a name for it. The curse of knowledge.
Recently worked on a client product, deep in a detailed, use-case-specific flow. Came at it fresh, and the question showed up fast. Why would anyone want this?
To the founder it was obvious. He'd lived in the product for months. Every button carried context the user doesn't have three seconds in.
That disconnect has a cost. Users don't ask what a feature is for. They decide the product is confusing and leave. The feature you were proud of becomes the reason someone bounced.
The founder’s curse is especially expensive in early products because unclear value shows up as weak activation. Making the first-use path obvious is often a higher-leverage investment than adding another feature.
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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
"Design is a young person's game."
I've been thinking about this a lot lately.
At 20, it seemed like a confirmation.
Today, at 33, the words make me feel a little anxious.
Not because I'm old, but because we work in an industry obsessed with innovation: new tools, new trends, new frameworks every week.
I see designers mastering software released yesterday morning.
Fast, hungry, and technically formidable.
Honestly, a little intimidating.
So I find myself wondering if I'll actually be able to keep up, or if I'll quietly become 'obsolete'.
But then I look at the real work.
The work of clients and their requests and needs.
The work they pay me for.
Clients don't hire me to open the latest Figma plugin and produce 10 variations overnight.
They need someone who already knows which 9 to discard and saves them time and weeks of indecision.
This doesn't mean you stop learning.
Curiosity still matters, and it's what keeps you in the game.
I'm saying that knowing what to cut is part of the job.
And it usually takes years to get there.
Thank you for this honest post Antonio🙌
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