@i.meesi18 vs @l0k-10

Side-by-side Snapchat Spotlight performance comparison.

Across the 16 and 249 Spotlight posts we have collected, @i.meesi18 averages 591.9K views per post and @l0k-10 71.5K; engagement is 0.00% against 1.47%.

@i.meesi18

لـــوثــر 🍿🥭

@i.meesi18

لقد وصلت وجهتك لعالم السينما🍿 قناتي (luther018)للافلام ماطلعت لك رسل خاص اعطيك الرابط⚠ للاشتراك بتطبيق الافلام واتس 📞

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@l0k-10

حمود القرعاني L0k-10

@l0k-10

استمتعوا بافضل محتوى 🎬🎥🎞️افلام و مسلسلات 🍿 🥇gym💪🏾🏋🏾‍♀️🚴🏾‍♂️🏊🏽‍♀️ 🫵🏽ولا تنسوا المتابعة🫵🏽

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@i.meesi18 Metric @l0k-10
50.3K Subscribers 0
16 Spotlight Posts 249
7.1M Total Views 3.1M
591.9K Avg Views / Post 71.5K
4.4M Best Post Views 958.0K
0.00% Engagement Rate (%) 1.47%
3.1K Subscribers per Post 0

What the posts and readings show

On the typical post, @l0k-10 gets 1.7x the views of @i.meesi18 (4,085 against 2,377 for the middle post).

@i.meesi18: Across the 12 of its 16 collected Spotlight posts that have a view count, the middle post has 2,377 views, while the average is 591,936: a few big posts lift it, and the most-viewed one holds 62% of these views. The most-viewed post (4,387,285 views) went up on November 1, 2024. The collected posts run from November 1, 2024 to May 14, 2026.

@l0k-10: Across the 39 of its 249 collected Spotlight posts that have a view count, the middle post has 4,085 views, while the average is 78,781: a few big posts lift it, and the most-viewed one holds 31% of these views. The most-viewed post (958,021 views) went up on June 3, 2026. The collected posts run from November 28, 2024 to October 28, 2026.

Each account's full report has its growth chart, posting pattern and top posts: @i.meesi18 and @l0k-10.

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.