Channel: 2,235 subscribers, audience is stable, cited by 1 venue in 30 days.
Posts a channel publishes as itself are not part of the search index, so reach, ER and post charts may be missing here. Subscribers, growth and citations are counted for every channel. How we count →
2,235subscribers?±0 in a day
Subscribers from the latest crawl of the venue. Growth is the difference with daily measurements collected since 29.09.2026. How we count →
no dataposts in 30 days?
Channel posts in the search index over the last 30 days. Posts published as the channel are not indexed — these are author-signed ones. How we count →
no dataaverage post reach?
Average views of a channel post in 30 days, counting posts for which Telegram shows views. How we count →
no dataER — reach to subscribers?
ER = average post reach ÷ subscribers × 100%. Channels with 100+ subscribers and at least 3 posts in 30 days. How we count →
1venues cited it in 30 days?1 all time
How many other venues forwarded its posts in 30 days; below — all time. Self-forwards are not counted. How we count →
345posts in the index?604 total in Telegram
The venue's posts in our index over its whole history; below — the number of the latest message in Telegram. How we count →
2022-02-15first post?
Date of the venue's earliest post in the index. How we count →
#1 306 004catalog rank?#42 084 in topic · #64 246 in language
Rank by the combined score: subscribers, activity, reach and citations. Below — rank in its topic and language. How we count →
Subscribers 2,235
history since 2026-10-03
2026-10-032026-10-07
Audience checkhow we check
Not enough data to checkToo few posts with views in 30 days to compare
Posts per day
max 7
2026-07-102026-10-07
Average post reach by day
max 177
2026-07-102026-10-07
When it posts (UTC, 90 days)
036912151821MoTuWeThFrSaSu
What it posts (90 days)
Most forwarded posts in 30 days
The channel's posts other venues forwarded most; the text comes from the forwarded copies.
🚀 Understand Any Tech System with One Prompt as a programmer
(Note: System understanding, connecting real-world problems to technical problems, and asking the right questions may become some of the most valuable skills forwarded by 1 venue · 2026-09-30 14:14 UTCEssential Python Libraries to build your career in Data Science 📊👇
1. NumPy:
- Efficient numerical operations and array manipulation.
2. Pandas:
- Data manipulation and analysis with powerful data structures (Datforwarded by 1 venue · 2026-09-13 14:25 UTC
Cites
GROUP FOR PROGRAMMERS🖥60 forwards · 24,535 subscribersJobs and Internships Updates28 forwards · 43,737 subscribersJobs and Internships India28 forwards · 21,283 subscribers
Forwards between catalog venues; forwards from people are not shown.
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2,758−278members1messages in 30 d1writingcatalog data as of 07.10.2026 15:59 UTC · Updated: 2026-10-07 18:49 UTC · How we count →