@nandu_nandu8277 vs @anisha_k202211

Side-by-side Snapchat Spotlight performance comparison.

Across the 14 and 13 Spotlight posts we have collected, @nandu_nandu8277 averages 115.1K views per post and @anisha_k202211 77.8K; engagement is 8.81% against 9.45%.

@nandu_nandu8277

Nandu Nandu.

@nandu_nandu8277

View full profile →
@anisha_k202211

Suraj

@anisha_k202211

View full profile →
@nandu_nandu8277 Metric @anisha_k202211
6.7K Subscribers 0
14 Spotlight Posts 13
1.4M Total Views 933.5K
115.1K Avg Views / Post 77.8K
748.5K Best Post Views 739.8K
8.81% Engagement Rate (%) 9.45%
479 Subscribers per Post 0

What the posts and readings show

Their typical posts are close: the middle post has 4,008 views for @nandu_nandu8277 and 4,531 for @anisha_k202211.

@nandu_nandu8277: Across the 11 of its 14 collected Spotlight posts that have a view count, the middle post has 4,008 views, while the average is 125,529: a few big posts lift it, and the most-viewed one holds 54% of these views. The most-viewed post (748,520 views) went up on January 27, 2024. The collected posts run from September 20, 2023 to November 7, 2025. Subscribers went from 6,700 on September 18, 2026 to 6,700 on October 23, 2026.

@anisha_k202211: Across the 11 of its 13 collected Spotlight posts that have a view count, the middle post has 4,531 views, while the average is 84,859: a few big posts lift it, and the most-viewed one holds 79% of these views. The most-viewed post (739,770 views) went up on January 29, 2024. The collected posts run from January 19, 2024 to February 17, 2024.

Each account's full report has its growth chart, posting pattern and top posts: @nandu_nandu8277 and @anisha_k202211.

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.