@xinxin8801 vs @sadlifejqk

Side-by-side Snapchat Spotlight performance comparison.

@xinxin8801 has 98.1K subscribers and @sadlifejqk has 22.0K, so @xinxin8801 has 4.5x as many. Across the 23 and 31 Spotlight posts we have collected, @xinxin8801 averages 474.7K views per post and @sadlifejqk 4.5K; engagement is 5.26% against 7.17%.

@xinxin8801

叮叮一家

@xinxin8801

We play games and annoye each other

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@sadlifejqk

Yen Duong

@sadlifejqk

hiii cutie pie 💗

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@xinxin8801 Metric @sadlifejqk
98.1K Subscribers 22.0K
23 Spotlight Posts 31
10.9M Total Views 72.4K
474.7K Avg Views / Post 4.5K
2.7M Best Post Views 20.0K
5.26% Engagement Rate (%) 7.17%
4.3K Subscribers per Post 710

What the posts and readings show

On the typical post, @xinxin8801 gets 136.0x the views of @sadlifejqk (279,141 against 2,052 for the middle post).

@xinxin8801: Across the 22 of its 23 collected Spotlight posts that have a view count, the middle post has 279,141 views, below the average of 496,286, which the bigger posts pull up. The most-viewed post (2,698,670 views) went up on April 18, 2026. The collected posts run from February 4, 2026 to May 14, 2026. Subscribers went from 59,300 on June 23, 2026 to 98,100 on October 23, 2026 (+65.4%).

@sadlifejqk: Across the 16 of its 31 collected Spotlight posts that have a view count, the middle post has 2,052 views, while the average is 4,523: a few big posts lift it, and the most-viewed one holds 28% of these views. The most-viewed post (20,024 views) went up on April 9, 2026. The collected posts run from April 3, 2026 to April 10, 2026.

Each account's full report has its growth chart, posting pattern and top posts: @xinxin8801 and @sadlifejqk.

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.