Data Science & Machine Learning

Data Science & Machine Learning

@datasciencefunEnglish flagEnglishAITier AChannel
Open in Telegram
Subscribers
77K
Growth (7d)
+83
Avg reach
1.4K
Posts / day
2.36
Citations
0

Reach score

Below average

In September 2026, @datasciencefun reached 1.8% of its 77,350 subscribers per post (1,385 average views), placing it in the bottom quarter of tracked channels its size. The benchmark is 1,125 tracked channels with 20K-100K subscribers, whose median reach is 9.9%.

Views per subscriber
1.8%
Percentile for its size
13/ 100
Views per post
1,385
Band median
9.9%
Dead13th percentilePushed from outside

Fewer subscribers see each post than at most channels this size. Worth asking why before you pay for the audience.

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

How the Telegram reach score is calculated

Subscriber growth

2026-06-10+1.7K over 64 days2026-09-01

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About

Join this channel to learn data science, artificial intelligence and machine learning with funny quizzes, interesting projects and amazing resources for free For collaborations: @love_data