Machine Learning

Machine Learning

@machinelearning9English flagEnglishAITier AChannel
Open in Telegram
Subscribers
41K
Growth (7d)
+70
Avg reach
1.6K
Posts / day
1.37
Citations
8

Reach score

Normal

In September 2026, @machinelearning9 reached 4.0% of its 41,045 subscribers per post (1,632 average views), placing it in the lower half of tracked channels its size, an ordinary result. The benchmark is 1,125 tracked channels with 20K-100K subscribers, whose median reach is 9.9%.

Views per subscriber
4.0%
Percentile for its size
26/ 100
Views per post
1,632
Band median
9.9%
Dead26th percentilePushed from outside

Post reach is in the ordinary range for a channel this size. Nothing here suggests bought subscribers.

Measured against 1,125 tracked channels with 20K-100K subscribers (a sample of that band). Views per subscriber falls as a channel grows, so @machinelearning9 is only ever compared with channels of its own size.

How the Telegram reach score is calculated

Subscriber growth

2026-06-10+1.1K over 64 days2026-09-01

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About

Real Machine Learning — simple, practical, and built on experience. Learn step by step with clear explanations and working code. Admin: @HusseinSheikho || @Hussein_Sheikho