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Из чего сложился балл
In short
@informasitutorial is a mid-sized channel for the Other category: a post reaches 47.1% of subscribers — close to the category median (42.6%). Over 17 days of tracking, subscribers fell by 2.0%, while median views held steady. Publishes 1 post a month — less often than 96% of channels in the category. Tracked since 18 Sep 2026, 17 measurements.
Position in the Other category
A score of 40 — ahead of 28% of the category. Every grey dot is another object from the same category.
How it changed
Measured every night. Over 17 days: -27 subscribers. A break in the line means the channel did not respond that day.
Views on recent posts
Older posts on the left, newer on the right. A flat line means a steady audience; a jagged one means the channel leans on the occasional viral post.
Against the Other category
Compared only against its own category: normal values differ for a channel with ten thousand subscribers and one with two million. The median is computed over 30631 objects in the category.
Questions
Is @informasitutorial an active channel?
Yes. It responded at the last check on 31 Oct 2026 and published 1 post in the past 30 days.
Does @informasitutorial have fake subscribers?
Open data shows no signs of inflated numbers. Our measurements: an average post reaches 47.1% of subscribers, metric consistency 100/100. Inflated views can't be fully ruled out from the outside, so this is an observation, not a guarantee. How to check it yourself
How many people see a post in @informasitutorial?
The median post gets 644 views — 47.1% of 1.3K subscribers. Ad prices are better judged by this number than by the subscriber count. Why reach matters more than subscribers
