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@Udemy_Learning: statistics and cleanliness index

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Grade D some metrics deviate cleanliness index
data from 2026-10-23
Subscribers
42,871
Median views
2,535
ERR
5.9%
Posts sampled
40
Niche Education
Post language English
Channel age 4 years

Data from 2026-10-23 — 15 days old.

Assessment summary

An English-language channel has been posting materials from paid Udemy web development courses as files for almost five years — in the sample, this is a multi-part Next.js and React course, not original lessons.

Since the last check, the median views dropped from 6947 to 2535, 2.7-fold, even though the number of subscribers has actually grown; ERR 5.9% is lower than that of almost all similar channels in the catalog, and there are almost no reactions — 0.07% of views versus 0.29% for the group median. For advertising, this means that an ad will be seen by about 2.5 thousand people and hardly anyone is likely to respond to it.

About the channel

An English-language channel about web development: for almost five years it has been posting materials from paid Udemy courses, mostly as video files and split into parts. In the selection is a large Next.js and React course: the parts go in blocks of ten, plus a course card with a rating of 4.6, number of ratings, price of $74.99, and instructor name. Separate posts are preview covers for JavaScript, Python, Git, and Docker courses.

In the catalog, next to it are @webdev_trainings — a channel on the same topic, larger by subscriber count, and a post there is seen by a larger share of subscribers (9.2% vs. 5.9% here), and @python_easy_ru — noticeably smaller by subscribers, but with a slightly larger share reading the post (6.9%).

What it publishes:

  • Course parts: series of posts “Next.js & React — The Complete Guide — Part 01…27” with video files.
  • Course cards: syllabus, rating, number of votes, price, and instructor.
  • Covers of other courses: previews with JavaScript, Python, Git, and Docker logos.

They post rarely, about one post per day, and almost all publications fall at night UTC and on weekends; the last post was published five days ago. By subscriber count, the channel is in the upper third of the “Education” niche. Expect rare batches of course video files with short captions and no ads within the feed.

By subscribers, it ranks #11 of 26 channels in the Education niche of the catalog.

What to pay attention to

Old posts gained views all at once (+6.6% per day)

Since the last check, views of 40 already mature posts grew almost equally — all of them increased, not just individual successful ones. Usually a post gets the bulk in the first two days, and after that views accumulate unevenly.

What grade D means

The index is clearly lowered: one or more metrics fall outside usual values. The “How the assessment was produced” section shows which ones.

Compared with similar channels

Compared with 11 Education catalog channels whose metrics look normal. They are a similar size: 16,674 to 102,027 subscribers.

ERR (reach) lower than 9 of 11
@Udemy_Learning 5.9%
similar channels median 11.6%
Reactions per 100 views lower than 10 of 10
@Udemy_Learning 0.07
similar channels median 0.29

This is not a niche norm: only catalog channels are included. A high ERR is not always a plus: if the other metrics do not support it, the index goes down.

Dynamics and anomalies

Scroll horizontally to see the full charts.

Views by post

The latest 40 posts with views, from Aug 4 to Oct 18. The dashed line is the median (2,535).

09.7K19KAug 4: 19,323 viewsAug 4: 18,753 viewsOct 18: 2,556 viewsOct 18: 2,438 viewsOct 18: 2,374 viewsOct 18: 2,396 viewsOct 18: 2,412 viewsOct 18: 2,445 viewsOct 18: 2,634 viewsOct 18: 2,819 viewsOct 18: 2,979 viewsOct 18: 3,203 viewsOct 18: 2,903 viewsOct 18: 2,899 viewsOct 18: 2,889 viewsOct 18: 2,621 viewsOct 18: 2,537 viewsOct 18: 2,496 viewsOct 18: 2,371 viewsOct 18: 2,303 viewsOct 18: 2,325 viewsOct 18: 2,322 viewsOct 18: 2,304 viewsOct 18: 2,298 viewsOct 18: 2,286 viewsOct 18: 2,624 viewsOct 18: 2,639 viewsOct 18: 2,642 viewsOct 18: 2,632 viewsOct 18: 2,436 viewsOct 18: 2,533 viewsOct 18: 2,499 viewsOct 18: 2,512 viewsOct 18: 2,654 viewsOct 18: 2,649 viewsOct 18: 2,916 viewsOct 18: 2,208 viewsOct 18: 2,449 viewsOct 18: 2,192 viewsOct 18: 2,753 views Aug 4Oct 18
  • post views
  • median 2,535

Maximum: 19,323 views. Data as of Oct 23.

What scoring found in the view pattern

Old posts gained views all at once (+6.6% per day)

Since the last check, views of 40 already mature posts grew almost equally — all of them increased, not just individual successful ones. Usually a post gets the bulk in the first two days, and after that views accumulate unevenly.

What could not be calculated

View build-up not assessed: there were no posts newer than one day.

Cleanliness-index history

3 checks for this channel.

050100Sep 10: index 55, grade CSep 10Oct 21: index 55, grade COct 21Oct 23: index 50, grade DOct 23

Advertising outlook

Advertising placement: questionable.

The audience barely reacts to posts.

About 2,023–2,250 people will see your post in the first 48 hours.

Reach of advertising posts

No advertising posts among the latest 40.

Buy advertising

Telegram ads are sold on these marketplaces — they have channel catalogs, prices, and checkout.

We don't sell ads. This channel may not be listed there.

Affiliate links: we get a commission. It never affects the channel's score.

Questions about @Udemy_Learning

How clean is the channel according to the check?

The cleanliness index is 50 out of 100, grade D, level “there are deviations.” The findings include: views of old posts increased all at once, while there are almost no reactions, and almost all of them are of one type.

How many people see the channel's posts?

With 42871 subscribers, the median views are 2535, meaning ERR is about 5.9%. This is lower than for most similar channels in the catalog.

Can I advertise here?

The advisability of placement is marked as questionable: the audience is passive, and there are almost no reactions. This is an assessment of reach and response, not of the channel's topic.

How the assessment was produced

Data source
Public Telegram data: posts, views, reactions, and channel metadata.
Date or snapshot
2026-10-23
Sample
The latest 40 public posts available at check time.
Calculation method
TG Inspector calculates metrics from the saved snapshot and combines independent signals into a deterministic 0–100 cleanliness index.
Factual result
The @Udemy_Learning assessment dated 2026-10-23 uses 40 recent public posts. At that snapshot the channel had 42,871 subscribers, median post views were 2,535, ERR was 5.9%, and the cleanliness index was 50/100.
Limitations
This is a probabilistic assessment based on public data: it describes metrics, not the owner's actions, and is not a real-time measurement.

This automated assessment is probabilistic: it describes the channel's public metrics, not its owner's actions. The index and grade are calculated from public data and are not changed on request. Channel owners can request removal of the page — t.me/obsessed_with_ai.