
Namit Malhotra Explains Why Yash Was Perfect for Ravana! π₯ | Ramayana
Published November 8, 2026
At a glance
Views
77,647
Likes
1,055
Comments
8
Performance vs. channel
All-time outlier score
Engagement rate
More features coming
We're working on new analytics and tools. Stay tuned.
About
#yash #namitmalhotra #ramayana #RockingStarYash #KGFStar #IndianCinema #bollywood #shorts #trendingshorts Namit Malhotra explains how Yashβs superstar status, ambition and larger-than-life vision came together to bring a unique Ravana to life in Ramayana. SUBSCRIBE to @Filmpoint_offl we explores the art of film makβ¦
- Published
- November 8, 2026
- Made for kids
- No
More features coming
We're working on new analytics and tools. Stay tuned.
How Namit Malhotra Explains Why Yash Was Perfect for Ravana! π₯ | Ramayana is doing
It has 77.6K views in total. It ranks #13,434,746 among tracked YouTube videos by views.
Key facts about Namit Malhotra Explains Why Yash Was Perfect for Ravana! π₯ | Ramayana
- Total views
- 77.6K
- Total likes
- 1.05K
- Total comments
- 8
- Published
- November 8, 2026
- Global rank by views
- #13,434,746
Frequently asked questions
How many views does Namit Malhotra Explains Why Yash Was Perfect for Ravana! π₯ | Ramayana have?
Namit Malhotra Explains Why Yash Was Perfect for Ravana! π₯ | Ramayana has 77,647 views, 1,055 likes and 8 comments, ranking #13,434,746 among tracked YouTube videos by views.
How accurate are these YouTube video analytics?
View, like, and comment counts come from YouTube's public API and refresh regularly. Growth and revenue figures are estimates built from tracked historical data, so they can differ slightly from what the creator sees privately in YouTube Studio.
What is the outlier score?
How this video's views compare to the channel's usual Shorts or long-form video. A 2x score means double the usual views for that channel, 0.5x means half.
What is engagement rate and how is it calculated?
Likes and comments per view, compared to this channel's typical engagement rate β shown as above or below what's usual for the channel.
How is the revenue estimate calculated?
It's a rough public estimate based on a $0.7β$2.0 CPM (revenue per 1,000 views) applied to view count β not actual creator earnings, which depend on ad rates, audience geography, and monetization settings YouTube doesn't expose publicly.
Is this YouTube video analytics checker free?
Yes. You get 10 free channel and video analytics lookups per 24 hours without an account β logging in, which is also free, removes that limit entirely.