@george_soros000 vs @tomm6831

Side-by-side Snapchat Spotlight performance comparison.

Across the 150 and 60 Spotlight posts we have collected, @george_soros000 averages 104.7K views per post and @tomm6831 2.3K; engagement is 0.82% against 0.81%.

@george_soros000

Speed Explained

@george_soros000

Welcome to the hidden side of automotive world.

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@tomm6831

Tomm

@tomm6831

This is my Snapchat channel where I share edited content and creative videos. Follow the channel for more updates and new edits!

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@george_soros000 Metric @tomm6831
22.9K Subscribers 0
150 Spotlight Posts 60
4.7M Total Views 20.6K
104.7K Avg Views / Post 2.3K
1.9M Best Post Views 4.6K
0.82% Engagement Rate (%) 0.81%
153 Subscribers per Post 0

What the posts and readings show

On the typical post, @george_soros000 gets 6.2x the views of @tomm6831 (11,411 against 1,839 for the middle post).

@george_soros000: Across the 41 of its 150 collected Spotlight posts that have a view count, the middle post has 11,411 views, while the average is 114,950: a few big posts lift it, and the most-viewed one holds 41% of these views. The most-viewed post (1,910,000 views) went up on February 15, 2026. The collected posts run from February 15, 2026 to October 27, 2026. Subscribers went from 15,400 on May 8, 2026 to 22,900 on October 27, 2026 (+48.7%).

@tomm6831: Across the 8 of its 60 collected Spotlight posts that have a view count, the middle post has 1,839 views, below the average of 2,569, which the bigger posts pull up. The most-viewed post (4,583 views) went up on June 1, 2026. The collected posts run from April 30, 2026 to June 8, 2026.

Each account's full report has its growth chart, posting pattern and top posts: @george_soros000 and @tomm6831.

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.