@monu_rajput2737 vs @sachinawast2271

Side-by-side Snapchat Spotlight performance comparison.

Across the 23 and 7 Spotlight posts we have collected, @monu_rajput2737 averages 242.9K views per post and @sachinawast2271 536.8K; engagement is 0.89% against 1.77%.

@monu_rajput2737

Monu Rajput

@monu_rajput2737

🦚🍂

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@sachinawast2271

Sachin awasthi

@sachinawast2271

I don't know how i will win all i know is that I am not going to lose🥳

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@monu_rajput2737 Metric @sachinawast2271
5.2K Subscribers 0
23 Spotlight Posts 7
3.6M Total Views 3.8M
242.9K Avg Views / Post 536.8K
1.6M Best Post Views 1.9M
0.89% Engagement Rate (%) 1.77%
226 Subscribers per Post 0

What the posts and readings show

On the typical post, @sachinawast2271 gets 3.2x the views of @monu_rajput2737 (31,477 against 9,728 for the middle post).

@monu_rajput2737: Across the 14 of its 23 collected Spotlight posts that have a view count, the middle post has 9,728 views, while the average is 260,255: a few big posts lift it, and the most-viewed one holds 45% of these views. The most-viewed post (1,627,746 views) went up on July 31, 2026. The collected posts run from September 15, 2025 to October 16, 2026. Subscribers went from 5,000 on October 3, 2026 to 5,200 on October 20, 2026 (+4.0%).

@sachinawast2271: Across all 7 of the Spotlight posts we have collected, the middle post has 31,477 views, while the average is 536,839: a few big posts lift it, and the most-viewed one holds 52% of these views. The most-viewed post (1,943,109 views) went up on August 9, 2026. The collected posts run from August 9, 2026 to September 11, 2026.

Each account's full report has its growth chart, posting pattern and top posts: @monu_rajput2737 and @sachinawast2271.

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.