After my last post, I tested my idea on a sample reel.
Instead of “views” or “analytics,” it showed how people might react while watching.
A few things stood out:
The first 2 seconds were strong → grabbed attention fast
The middle dipped a bit → same tone repeated
The ending looped well → could boost replays
What surprised me:
It didn’t just say “this is good”
It pointed to exactly where it might lose people
Do visit pracal.io for Demo.

That’s a very nice idea. How do you or your application decide which parts the user likes and which get less attention? Just a question.
the attention timeline graph is super interesting. seeing exactly where the tone repeats and causes a dip is much more useful than just a generic virality score. usually you only find this out after the video flops so having this during editing is a huge time saver
Exactly, We are trying to bring in the editor so that you can make the changes right away.