@sanjayk256828 vs @rajeshmishr1958

Side-by-side Snapchat Spotlight performance comparison.

Across the 30 and 14 Spotlight posts we have collected, @sanjayk256828 averages 228.3K views per post and @rajeshmishr1958 142.3K; engagement is 5.18% against 7.18%.

@sanjayk256828

Sanjay Kumar

@sanjayk256828

Paid promotion ' DM ' me

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@rajeshmishr1958

KhudKhusi Facts 2m

@rajeshmishr1958

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@sanjayk256828 Metric @rajeshmishr1958
43.3K Subscribers 0
30 Spotlight Posts 14
6.8M Total Views 2.0M
228.3K Avg Views / Post 142.3K
2.5M Best Post Views 573.2K
5.18% Engagement Rate (%) 7.18%
1.4K Subscribers per Post 0

What the posts and readings show

Their typical posts are close: the middle post has 45,383 views for @sanjayk256828 and 38,444 for @rajeshmishr1958.

@sanjayk256828: Across the 29 of its 30 collected Spotlight posts that have a view count, the middle post has 45,383 views, while the average is 236,152: a few big posts lift it, and the most-viewed one holds 37% of these views. The most-viewed post (2,543,309 views) went up on August 10, 2026. The collected posts run from June 4, 2026 to October 22, 2026. Subscribers went from 35,800 on September 17, 2026 to 43,300 on October 23, 2026 (+20.9%).

@rajeshmishr1958: Across the 13 of its 14 collected Spotlight posts that have a view count, the middle post has 38,444 views, while the average is 153,284: a few big posts lift it, and the most-viewed one holds 29% of these views. The most-viewed post (573,226 views) went up on July 11, 2026. The collected posts run from May 4, 2026 to August 14, 2026.

Each account's full report has its growth chart, posting pattern and top posts: @sanjayk256828 and @rajeshmishr1958.

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.