@kaiff98 vs @aashuydv006

Side-by-side Snapchat Spotlight performance comparison.

@kaiff98 has 8.8K subscribers and @aashuydv006 has 9.0K. Across the 18 and 26 Spotlight posts we have collected, @kaiff98 averages 611.0K views per post and @aashuydv006 9.9K; engagement is 3.37% against 3.67%.

@kaiff98

kaiffff 🪐

@kaiff98

Medical 🩺

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@aashuydv006

Aashu Yadav

@aashuydv006

IG- @aashuyadav0006 Utube - aashuyadav0006 ✉️ Work -

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@kaiff98 Metric @aashuydv006
8.8K Subscribers 9.0K
18 Spotlight Posts 26
9.8M Total Views 237.4K
611.0K Avg Views / Post 9.9K
3.9M Best Post Views 140.3K
3.37% Engagement Rate (%) 3.67%
489 Subscribers per Post 346

What the posts and readings show

On the typical post, @kaiff98 gets 25.0x the views of @aashuydv006 (81,339 against 3,260 for the middle post).

@kaiff98: Across the 15 of its 18 collected Spotlight posts that have a view count, the middle post has 81,339 views, while the average is 651,713: a few big posts lift it, and the most-viewed one holds 40% of these views. The most-viewed post (3,887,584 views) went up on September 16, 2026. The collected posts run from May 2, 2026 to October 6, 2026. Subscribers went from 5,300 on September 6, 2026 to 8,800 on October 21, 2026 (+66.0%).

@aashuydv006: Across the 24 of its 26 collected Spotlight posts that have a view count, the middle post has 3,260 views, while the average is 9,892: a few big posts lift it, and the most-viewed one holds 59% of these views. The most-viewed post (140,309 views) went up on May 18, 2026. The collected posts run from May 18, 2026 to August 10, 2026.

Each account's full report has its growth chart, posting pattern and top posts: @kaiff98 and @aashuydv006.

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.