@ks361134 vs @surajsaini23173

Side-by-side Snapchat Spotlight performance comparison.

@ks361134 has 5.2K subscribers and @surajsaini23173 has 5.7K. Across the 21 and 5 Spotlight posts we have collected, @ks361134 averages 473.4K views per post and @surajsaini23173 315.6K; engagement is 4.72% against 2.13%.

@ks361134

Krishna Singh

@ks361134

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@surajsaini23173

Suraj saini

@surajsaini23173

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@ks361134 Metric @surajsaini23173
5.2K Subscribers 5.7K
21 Spotlight Posts 5
9.9M Total Views 1.6M
473.4K Avg Views / Post 315.6K
5.6M Best Post Views 889.2K
4.72% Engagement Rate (%) 2.13%
248 Subscribers per Post 1.1K

What the posts and readings show

On the typical post, @surajsaini23173 gets 4.1x the views of @ks361134 (342,738 against 84,159 for the middle post).

@ks361134: Across the 20 of its 21 collected Spotlight posts that have a view count, the middle post has 84,159 views, while the average is 497,026: a few big posts lift it, and the most-viewed one holds 57% of these views. The most-viewed post (5,622,330 views) went up on September 1, 2024. The collected posts run from August 29, 2024 to January 26, 2026. Subscribers went from 5,200 on August 26, 2026 to 5,200 on October 24, 2026.

@surajsaini23173: Across the 4 of its 5 collected Spotlight posts that have a view count, the middle post has 342,738 views, close to the average of 394,543. The most-viewed post (889,156 views) went up on July 27, 2024. The collected posts run from July 27, 2024 to February 27, 2025. Subscribers went from 5,700 on September 17, 2026 to 5,700 on October 24, 2026.

Each account's full report has its growth chart, posting pattern and top posts: @ks361134 and @surajsaini23173.

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.