@chennai_abbai vs @rahulofficial4s

Side-by-side Snapchat Spotlight performance comparison.

Across the 37 and 9 Spotlight posts we have collected, @chennai_abbai averages 108.3K views per post and @rahulofficial4s 51.7K; engagement is 3.32% against 1.09%.

@chennai_abbai

The Guy 🫀

@chennai_abbai

Not everyone can handle and afford me 🫀

View full profile →
@rahulofficial4s

Rahul Kumar

@rahulofficial4s

View full profile →
@chennai_abbai Metric @rahulofficial4s
0 Subscribers 10.9K
37 Spotlight Posts 9
2.8M Total Views 413.7K
108.3K Avg Views / Post 51.7K
1.3M Best Post Views 127.2K
3.32% Engagement Rate (%) 1.09%
0 Subscribers per Post 1.2K

What the posts and readings show

On the typical post, @rahulofficial4s gets 8.0x the views of @chennai_abbai (41,288 against 5,142 for the middle post).

@chennai_abbai: Across the 25 of its 37 collected Spotlight posts that have a view count, the middle post has 5,142 views, while the average is 112,667: a few big posts lift it, and the most-viewed one holds 48% of these views. The most-viewed post (1,342,638 views) went up on July 24, 2026. The collected posts run from July 24, 2026 to November 1, 2026.

@rahulofficial4s: Across the 7 of its 9 collected Spotlight posts that have a view count, the middle post has 41,288 views, below the average of 59,104, which the bigger posts pull up. The most-viewed post (127,155 views) went up on August 12, 2026. The collected posts run from August 12, 2026 to October 13, 2026. Subscribers went from 7,700 on September 12, 2026 to 10,900 on October 29, 2026 (+41.6%).

Each account's full report has its growth chart, posting pattern and top posts: @chennai_abbai and @rahulofficial4s.

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.