Code Stars
Track GitHub repos gaining stars in real time. Discover trending projects in AI, Python, JavaScript, React, and DevOps before they go viral. Updated hourly.
Из чего сложился балл
In short
@code_stars is a mid-sized channel for the Tech & IT category: a post reaches 2.3% of subscribers — lower than 96% of channels in the category. Over 17 days of tracking, subscribers grew by 7.2%, while median views rose by 58%. Publishes 497 posts a month — more often than 97% of channels in the category. Tracked since 18 Sep 2026, 18 measurements.
Position in the Tech & IT category
A score of 6 — ahead of 1% of the category. Every grey dot is another object from the same category.
How it changed
Measured every night. Over 18 days: +173 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 Tech & IT 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 724 objects in the category.
Questions
Is @code_stars an active channel?
Yes. It responded at the last check on 1 Nov 2026 and published 497 posts in the past 30 days.
Does @code_stars have fake subscribers?
Some values fall outside the usual range. Our measurements: an average post reaches 2.3% 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 @code_stars?
The median post gets 87 views — 2.3% of 2.6K subscribers. Ad prices are better judged by this number than by the subscriber count. Why reach matters more than subscribers
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