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Hi, I need assistance from someone at Capcut.
I'm having this problem when trying to generate the video.
The cost of credits is very high. 12960.
They exceed the cost of gift credits.
Seedance 2.5 / 720p / 30s / I didn't upload any video or image references.
No prompt or a single word is the same.
Is that cost normal?
From what I've seen in tutorials, the cost should be around 1000 credits.
Am I doing something wrong?
I think you're using the wrong tool for this challenge — the rules specify: 'Your submission must be created using CapCut Video Studio.' You need another tool on the web for this. I got caught in the same trap earlier.
Thank you so much! I'm going to double-check where to generate the video from.
you need to use capcut website regarding to guideline. But i am asking if its okay to use the capcut app since it keeps generating fail/error
The credits reduction will depend on your region.
Thanks. Yes, I'm going directly from the guidelines link now. But the cost is the same.
@Lisandro Natale 12,960 credits for a 30s, 720p Seedance 2.5 generation with no references sounds unusually high. Does shortening the duration show a proportional drop before you submit?
Thanks for writing.
Yes, by shortening the times, the cost decreases proportionally.
And if I use 480p, the cost also decreases. It ends up being around 6,000 credits.
I understand that in general, generations are around 1,000 credits, right?
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Hi network! I can’t see the Submit button for the CapCut challenge. Is it only happening on my account, or is submission not open for everyone yet?
Also, could you please let me know how many free credits participants receive for this challenge?
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
🚨 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.
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