@dskkalukumar vs @dilwalesumit

Side-by-side Snapchat Spotlight performance comparison.

Across the 13 and 27 Spotlight posts we have collected, @dskkalukumar averages 171.1K views per post and @dilwalesumit 5.0K; engagement is 3.11% against 1.15%.

@dskkalukumar

Dsk Kalu Dancer

@dskkalukumar

•Dancer •Choreographer •MultiWorkAholik •📍MOTIHARI JILA❤️

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@dilwalesumit

Dilwale

@dilwalesumit

Insta sumit_kr906 200k flowers

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@dskkalukumar Metric @dilwalesumit
9.2K Subscribers 0
13 Spotlight Posts 27
2.2M Total Views 123.8K
171.1K Avg Views / Post 5.0K
533.0K Best Post Views 73.0K
3.11% Engagement Rate (%) 1.15%
708 Subscribers per Post 0

What the posts and readings show

On the typical post, @dskkalukumar gets 81.5x the views of @dilwalesumit (145,180 against 1,782 for the middle post).

@dskkalukumar: Across the 12 of its 13 collected Spotlight posts that have a view count, the middle post has 145,180 views, below the average of 185,392, which the bigger posts pull up. The most-viewed post (532,971 views) went up on August 29, 2026. The collected posts run from August 21, 2026 to September 2, 2026. Subscribers went from 7,000 on September 15, 2026 to 9,200 on October 25, 2026 (+31.4%).

@dilwalesumit: Across the 24 of its 27 collected Spotlight posts that have a view count, the middle post has 1,782 views, while the average is 5,158: a few big posts lift it, and the most-viewed one holds 59% of these views. The most-viewed post (73,007 views) went up on September 11, 2026. The collected posts run from September 8, 2026 to September 22, 2026.

Each account's full report has its growth chart, posting pattern and top posts: @dskkalukumar and @dilwalesumit.

Methodology: the figures cover the Spotlight posts SnapDataHub has collected for each account, not every post it has made. Averages and the middle (median) post use only posts that came with a view count. Engagement rate = (likes + comments) / views × 100 over the collected posts. Subscriber counts are Snapchat's own; it rounds counts of 1 million or more to the nearest 100,000. How we calculate these numbers.