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@gpt_chatru: statistics and cleanliness index

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https://telega.io/catalog/?r=315q_dtk A channel about AI, technology and useful tools. Bot: @gpturbo_bot Contact - @garmanv https://telega.io/c/gpt_chatru

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Grade A+ metrics look normal cleanliness index
data from 2026-10-22
Subscribers
19,753
Median views
4,911
ERR
24.9%
Posts sampled
40
Niche Computer science
Post language English
Channel age 3 years

Data from 2026-10-22 — 16 days old.

Assessment summary

An English-language feed about AI and technology: breakdowns of new models (Claude Opus 4.6, GPT Image 1.5), collections of utilities and services from GitHub, neural networks for video, sound, and translation — half of the posts come out as short videos.

The channel is idle: the last post was 78 days ago, on average one publication about every ten days. Ad posts in the sample get more than regular ones — median 6291 views vs. 4498 — but reactions are low, 0.12% of views, and some messages from the feed have been deleted (about 8% of numbers are missing).

About the channel

An English-language channel about artificial intelligence and technology, it has been run for almost four years. The feed contains model news, reviews of tools and services you can try right away: video and photos are roughly equal, texts are short, with screenshots and charts.

In the catalog, @jarvisnew and @chatgptrue are nearby: the first is larger, about 85 thousand subscribers, the second is close in size. A post here is seen by a larger share of subscribers than in both — ERR 24.9% vs. 6.1% and 13.8%. @chatgpt_botnews has an audience many times larger, and the share of those reading a post there is higher.

What it publishes:

  • Model news: breakdowns of releases like Claude Opus 4.6 with a million-token context and GPT Image 1.5.
  • Useful utilities: collections of free programs and services — from cleaning Windows to extracting tables from PDF.
  • Neural networks for media: video generation, speech synthesis, real-time call translation.
  • Guides and collections: official prompt guides and lists of tools from GitHub.

Posts come out mainly in the morning and on weekdays, there are almost no forwards — 2% of the feed, one post came from “Evaders”. They write rarely, about once every ten days, with short notes featuring videos and GitHub links.

By subscribers, it ranks #68 of 102 channels in the Computer science niche of the catalog.

What to pay attention to

Third-party spam in the comments

The comments look like spam mailings and self-promotion by outside accounts. They are not written on behalf of the channel and do not affect the purity index. Moderation or anti-spam in comments would help.

What grade A+ means

The metrics agree with each other: views and reactions are distributed as usual, and almost no signals lower the index.

Compared with similar channels

Compared with 34 Computer science catalog channels whose metrics look normal. They are a similar size: 8,715 to 54,397 subscribers.

ERR (reach) higher than 28 of 34
@gpt_chatru 24.9%
similar channels median 11.7%
Reactions per 100 views lower than 34 of 34
@gpt_chatru 0.12
similar channels median 0.43

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 Apr 16 to Aug 5. The dashed line is the median (4,911).

05.9K12KApr 16: 10,827 viewsMay 16: 8,557 viewsMay 21: 10,411 viewsMay 24: 10,771 viewsJun 28: 8,891 viewsJul 14: 8,442 viewsAug 8: 9,563 viewsSep 4: 8,410 viewsSep 22: 7,420 viewsOct 16: 8,761 viewsNov 17: 5,517 viewsNov 20: 4,590 viewsNov 23: 5,000 viewsNov 29: 4,498 viewsDec 2: 4,858 viewsDec 5: 4,401 viewsDec 9: 4,173 viewsDec 12: 3,801 viewsDec 15: 3,613 viewsDec 18: 3,519 viewsDec 23: 3,489 viewsDec 26: 3,453 viewsDec 29: 3,475 viewsJan 1: 3,045 viewsJan 4: 3,152 viewsJan 7: 3,492 viewsJan 10: 3,395 viewsJan 14: 3,408 viewsJan 18: 3,797 viewsJan 24: 4,853 viewsJan 28: 4,964 viewsFeb 2: 5,162 viewsFeb 5: 3,828 viewsFeb 8: 3,708 viewsFeb 11: 5,860 viewsFeb 16: 5,757 viewsFeb 18: 7,785 viewsMar 11: 11,851 viewsJun 17: 8,951 viewsAug 5: 6,291 views Apr 16Aug 5
  • post views
  • median 4,911

Maximum: 11,851 views. Data as of Oct 22.

What could not be calculated

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

Cleanliness-index history

The channel's data has been collected once — the chart will appear after the next update.

Advertising outlook

Advertising placement: questionable.

The channel has gone quiet — ask the owner when the next post is due.

Not enough posts for a forecast.

Reach of advertising posts

Advertising posts have a median of 6,291 views versus 4,498 for regular posts — 40% higher.

Based on 11 advertising and 29 regular posts older than two days.

Without an ad label: 11 posts.

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.

Where to buy advertising

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

Questions about @gpt_chatru

Is the channel clean? What does the purity index show?

The purity index is 100 out of 100, grade A+, level “metrics are normal”: no deviations in metrics were found. At the same time, there is third-party spam in the comments, but it does not affect the index.

What share of subscribers sees a post in @gpt_chatru?

ERR is about 24.9%: median views — 4911 with 19 753 subscribers. That is, a post is seen by roughly every fourth subscriber.

Can I place ads here?

Placement is marked as questionable: the channel has not published posts for a long time. Ad posts in the sample had a median of 6291 views vs. 4498 for regular ones, but the feed has not been updated for 78 days.

How the assessment was produced

Data source
Public Telegram data: posts, views, reactions, and channel metadata.
Date or snapshot
2026-10-22
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 @gpt_chatru assessment dated 2026-10-22 uses 40 recent public posts. At that snapshot the channel had 19,753 subscribers, median post views were 4,911, ERR was 24.9%, and the cleanliness index was 100/100.
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.

Full methodology and interpretation rules

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.