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@lama_channel_gpt: statistics and cleanliness index

Lama AI

ohmylama.ru — наш сайт @gpt_lama_bot — бот с ChatGPT https://ohmylama.ru/ohmycode агент по написанию кода Реклама: @unwallker Вопросы: @wb_ai_universe Биржа: https://telega.in/c/lama_channel_gpt РКН: clck.ru/3PmmW3

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Grade A+ metrics look normal cleanliness index
data from 2026-10-22
Subscribers
24,285
Median views
2,329
ERR
9.6%
Posts sampled
40
Niche Computer science
Post language Russian
Channel age 2 years

Data from 2026-10-22 — 16 days old.

Assessment summary

A channel about neural networks: here they break down fresh models and benchmarks, publish AI memes, and promote their own OhMyLama service with access to models via the website and bot.

A post is seen by about 9.6% of subscribers — among similar channels in the catalog this share is higher, from 12% to 70%. But ads don't underperform: their median views are only 2% lower than regular posts, so the ad will be read by the same audience as the regular feed, but at 1.9 posts per day it quickly moves down.

About the channel

A Russian-language channel about neural networks, running for almost three years. They write about new model releases and their benchmarks, mix this with AI memes, and promote their own OhMyLama service — access to models via the website, bot, and coding agent OhMyCode. Format — captioned photos, videos, and text posts.

In the catalog, @ai_to_business and @intellebeauty are nearby: this channel is larger than both in subscribers, but a smaller share of its subscribers sees a post than for either of them. It is comparable in size to @n2d2ai, while the share of subscribers who see a post is noticeably higher for @n2d2ai.

What it publishes:

  • Model news: breakdowns of releases such as Gemini 4 Argon and DeepSeek-v4.1-Flash with benchmark tables.
  • AI memes: screenshots of chats with neural networks and jokes about vibe coding.
  • Own services: announcements of OhMyAgent and OhMyCode, changes to model prices in OhMyLama.
  • Tools: reviews such as SynthID Detector for checking files for traces of generation.

Posts come out 1.9 times per day, most often during the day and in the evening, on weekdays. There are no forwards from other channels in the sample, and no ad posts either. The feed is short news and memes with regular inserts about their own service.

By subscribers, it ranks #61 of 102 channels in the Computer science niche of the catalog.

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 35 Computer science catalog channels whose metrics look normal. They are a similar size: 8,715 to 59,944 subscribers.

ERR (reach) lower than 21 of 35
@lama_channel_gpt 9.6%
similar channels median 13.3%
Reactions per 100 views higher than 30 of 35
@lama_channel_gpt 1.08
similar channels median 0.42

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 Oct 1 to Oct 22. The dashed line is the median (2,329).

01.6K3.2KOct 1: 2,396 viewsOct 2: 2,644 viewsOct 4: 2,887 viewsOct 5: 2,634 viewsOct 5: 2,517 viewsOct 6: 2,196 viewsOct 6: 2,131 viewsOct 6: 2,607 viewsOct 6: 2,987 viewsOct 6: 3,203 viewsOct 7: 2,539 viewsOct 7: 2,793 viewsOct 8: 2,309 viewsOct 8: 2,533 viewsOct 9: 2,769 viewsOct 9: 2,190 viewsOct 10: 2,349 viewsOct 10: 2,226 viewsOct 10: 2,554 viewsOct 11: 2,510 viewsOct 12: 2,426 viewsOct 12: 2,681 viewsOct 13: 2,699 viewsOct 13: 2,406 viewsOct 15: 2,173 viewsOct 15: 1,978 viewsOct 15: 2,206 viewsOct 16: 2,024 viewsOct 16: 2,360 viewsOct 16: 2,079 viewsOct 16: 1,987 viewsOct 17: 2,093 viewsOct 17: 2,102 viewsOct 18: 2,232 viewsOct 19: 1,868 viewsOct 19: 1,860 viewsOct 20: 1,592 viewsOct 21: 1,427 viewsOct 21: 1,473 viewsOct 22: 898 views Oct 1Oct 22
  • post views
  • 1 post newer than one day and still gaining views
  • median 2,329

Maximum: 3,203 views. Data as of Oct 22.

No deviations in views. Views are only part of the metrics, so look at the whole index.

Cleanliness-index history

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

Advertising outlook

Advertising placement: reasonable.

About 1,141–1,423 people will see your post in the first 48 hours.

Reach of advertising posts

Advertising posts have a median of 2,316 views versus 2,360 for regular posts — 2% lower.

Based on 8 advertising and 29 regular posts older than two days.

Without an ad label: 8 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 @lama_channel_gpt

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

The purity index is 98 out of 100, grade A+, level “metrics are normal.” No signals that would lower the index were found during the check.

What is the reach of posts in @lama_channel_gpt?

The median views are 2329 with 24 thousand subscribers, that is about 9.6%. Ad posts get almost the same: 2316 versus 2360 for regular ones.

Can ads be placed here?

Placement is marked as justified — the channel is suitable for advertising. Ads do not lose reach: their median views are only 2% lower than regular posts.

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 @lama_channel_gpt assessment dated 2026-10-22 uses 40 recent public posts. At that snapshot the channel had 24,285 subscribers, median post views were 2,329, ERR was 9.6%, and the cleanliness index was 98/100.
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.