@sk_editz2 vs @sainibhai7153

Side-by-side Snapchat Spotlight performance comparison.

@sk_editz2 has 5.0K subscribers and @sainibhai7153 has 12.7K, so @sainibhai7153 has 2.5x as many. Across the 20 and 9 Spotlight posts we have collected, @sk_editz2 averages 206.4K views per post and @sainibhai7153 240.7K; engagement is 5.71% against 4.95%.

@sk_editz2

Sk_editz

@sk_editz2

🎵 Music Is My Love Language.

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@sainibhai7153

Saini Bhai

@sainibhai7153

Editor ( Turning feelings into lyrics🎶✨❤️‍🩹)

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@sk_editz2 Metric @sainibhai7153
5.0K Subscribers 12.7K
20 Spotlight Posts 9
3.9M Total Views 2.2M
206.4K Avg Views / Post 240.7K
1.2M Best Post Views 1.1M
5.71% Engagement Rate (%) 4.95%
250 Subscribers per Post 1.4K

What the posts and readings show

On the typical post, @sainibhai7153 gets 84.7x the views of @sk_editz2 (185,372 against 2,189 for the middle post).

@sk_editz2: Across the 18 of its 20 collected Spotlight posts that have a view count, the middle post has 2,189 views, while the average is 217,886: a few big posts lift it, and the most-viewed one holds 31% of these views. The most-viewed post (1,221,735 views) went up on May 2, 2026. The collected posts run from April 10, 2026 to October 19, 2026.

@sainibhai7153: Across the 8 of its 9 collected Spotlight posts that have a view count, the middle post has 185,372 views, below the average of 270,733, which the bigger posts pull up. The most-viewed post (1,146,561 views) went up on April 21, 2026. The collected posts run from October 28, 2025 to August 21, 2026. Subscribers went from 10,900 on September 4, 2026 to 12,700 on October 31, 2026 (+16.5%).

Each account's full report has its growth chart, posting pattern and top posts: @sk_editz2 and @sainibhai7153.

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.