@mianoliya001 vs @funnycats01

Side-by-side Snapchat Spotlight performance comparison.

@mianoliya001 has 52.2K subscribers and @funnycats01 has 76.4K. Across the 22 and 62 Spotlight posts we have collected, @mianoliya001 averages 604.1K views per post and @funnycats01 4.7K; engagement is 9.44% against 10.31%.

@mianoliya001

Mr Oliya

@mianoliya001

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@funnycats01

Funny Cats

@funnycats01

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@mianoliya001 Metric @funnycats01
52.2K Subscribers 76.4K
22 Spotlight Posts 62
6.6M Total Views 258.1K
604.1K Avg Views / Post 4.7K
3.5M Best Post Views 66.0K
9.44% Engagement Rate (%) 10.31%
2.4K Subscribers per Post 1.2K

What the posts and readings show

On the typical post, @mianoliya001 gets 2.7x the views of @funnycats01 (7,284 against 2,736 for the middle post).

@mianoliya001: Across the 10 of its 22 collected Spotlight posts that have a view count, the middle post has 7,284 views, while the average is 664,559: a few big posts lift it, and the most-viewed one holds 52% of these views. The most-viewed post (3,474,448 views) went up on August 3, 2025. The collected posts run from March 21, 2025 to July 24, 2026. Subscribers went from 53,200 on May 8, 2026 to 52,200 on October 27, 2026 (-1.9%).

@funnycats01: Across the 54 of its 62 collected Spotlight posts that have a view count, the middle post has 2,736 views, below the average of 4,780, which the bigger posts pull up. The most-viewed post has 66,000 views. The collected posts run from April 22, 2026 to May 17, 2026. Subscribers went from 72,700 on May 7, 2026 to 76,400 on October 23, 2026 (+5.1%).

Each account's full report has its growth chart, posting pattern and top posts: @mianoliya001 and @funnycats01.

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.