@nicknayersina vs @bradleykraut

Side-by-side Snapchat Spotlight performance comparison.

Across the 12 and 80 Spotlight posts we have collected, @nicknayersina averages 122.0K views per post and @bradleykraut 22.0K; engagement is 1.36% against 2.69%.

@nicknayersina

Nick Nayersina

@nicknayersina ●

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@bradleykraut

Bradleykraut

@bradleykraut ●

KICK THE SHEETS, WIN THE DAY (O.G ACADEMIC WEAPON)

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@nicknayersina Metric @bradleykraut
0 Subscribers 44.9K
12 Spotlight Posts 80
1.5M Total Views 1.1M
122.0K Avg Views / Post 22.0K
1.2M Best Post Views 182.8K
1.36% Engagement Rate (%) 2.69%
0 Subscribers per Post 561

What the posts and readings show

On the typical post, @nicknayersina gets 4.1x the views of @bradleykraut (20,519 against 5,028 for the middle post).

@nicknayersina: Across the 11 of its 12 collected Spotlight posts that have a view count, the middle post has 20,519 views, while the average is 133,048: a few big posts lift it, and the most-viewed one holds 84% of these views. The most-viewed post (1,222,529 views) went up on December 3, 2025. The collected posts run from July 23, 2025 to December 4, 2025.

@bradleykraut: Across the 51 of its 80 collected Spotlight posts that have a view count, the middle post has 5,028 views, while the average is 22,408: a few big posts lift it, and the most-viewed one holds 16% of these views. The most-viewed post (182,803 views) went up on September 16, 2026. The collected posts run from August 19, 2026 to October 27, 2026. Subscribers went from 43,700 on September 11, 2026 to 44,900 on November 2, 2026 (+2.7%).

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

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.