@ajaywhines32 vs @kapil_kanpuriya

Side-by-side Snapchat Spotlight performance comparison.

@ajaywhines32 has 5.9K subscribers and @kapil_kanpuriya has 11.3K, so @kapil_kanpuriya has 1.9x as many. Across the 17 and 16 Spotlight posts we have collected, @ajaywhines32 averages 162.0K views per post and @kapil_kanpuriya 13.4K; engagement is 2.89% against 3.61%.

@ajaywhines32

Ajay Kumar

@ajaywhines32 ●

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@kapil_kanpuriya

kapil kanpuriya

@kapil_kanpuriya ●

actor || content creator

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@ajaywhines32 Metric @kapil_kanpuriya
5.9K Subscribers 11.3K
17 Spotlight Posts 16
2.8M Total Views 187.8K
162.0K Avg Views / Post 13.4K
2.1M Best Post Views 51.5K
2.89% Engagement Rate (%) 3.61%
347 Subscribers per Post 706

What the posts and readings show

On the typical post, @ajaywhines32 gets 1.6x the views of @kapil_kanpuriya (12,887 against 8,096 for the middle post).

@ajaywhines32: Across the 16 of its 17 collected Spotlight posts that have a view count, the middle post has 12,887 views, while the average is 172,127: a few big posts lift it, and the most-viewed one holds 77% of these views. The most-viewed post (2,125,820 views) went up on November 20, 2025. The collected posts run from November 20, 2025 to April 8, 2026. Subscribers went from 5,900 on September 10, 2026 to 5,900 on October 24, 2026.

@kapil_kanpuriya: Across the 14 of its 16 collected Spotlight posts that have a view count, the middle post has 8,096 views, below the average of 13,417, which the bigger posts pull up. The most-viewed post (51,511 views) went up on May 29, 2026. The collected posts run from May 14, 2026 to September 25, 2026.

Each account's full report has its growth chart, posting pattern and top posts: @ajaywhines32 and @kapil_kanpuriya.

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.