@joxiya_110 vs @sahil_kashmir01

Side-by-side Snapchat Spotlight performance comparison.

Across the 43 and 32 Spotlight posts we have collected, @joxiya_110 averages 155.7K views per post and @sahil_kashmir01 3.9K; engagement is 10.44% against 8.29%.

@joxiya_110

جوزیہ 💫🫀

@joxiya_110

💫❤انا رافض The love between a father and daughter knows no bounds. In his arms, I feel safe and loved.

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@sahil_kashmir01

ساحل 🍁

@sahil_kashmir01

Sahil_Kashmir

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@joxiya_110 Metric @sahil_kashmir01
5.1K Subscribers 0
43 Spotlight Posts 32
3.6M Total Views 67.1K
155.7K Avg Views / Post 3.9K
1.5M Best Post Views 27.5K
10.44% Engagement Rate (%) 8.29%
119 Subscribers per Post 0

What the posts and readings show

On the typical post, @joxiya_110 gets 2.2x the views of @sahil_kashmir01 (4,683 against 2,085 for the middle post).

@joxiya_110: Across the 23 of its 43 collected Spotlight posts that have a view count, the middle post has 4,683 views, while the average is 155,715: a few big posts lift it, and the most-viewed one holds 42% of these views. The most-viewed post (1,504,738 views) went up on December 9, 2025. The collected posts run from October 16, 2024 to October 13, 2026. Subscribers went from 5,100 on October 20, 2026 to 5,100 on October 24, 2026.

@sahil_kashmir01: Across the 17 of its 32 collected Spotlight posts that have a view count, the middle post has 2,085 views, below the average of 3,947, which the bigger posts pull up. The most-viewed post (27,494 views) went up on March 30, 2026. The collected posts run from March 15, 2026 to October 7, 2026.

Each account's full report has its growth chart, posting pattern and top posts: @joxiya_110 and @sahil_kashmir01.

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.