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@LumaAi_public: statistics and cleanliness index

LUMORA | ИИ Тренды, Фото, Видео

🗽AI-тренды без сложных промптов и долгих настроек Бот/Приложение @LumaAiPhotoBot Сотрудничество/Реклама @lumora_administrator Поддержка @LumaAiSupport_bot

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Grade A+ metrics look normal cleanliness index
data from 2026-10-10
Subscribers
1,711
Median views
697
ERR
40.7%
Posts sampled
40
Niche Computer science
Post language Russian
Channel age 4 months

Data from 2026-10-10 — 28 days old.

Assessment summary

The channel is dedicated to visual trends and step-by-step guides on generating photos and videos using neural networks.

Over the past month, the median view count has almost tripled, and the channel outperforms most similar catalog channels in terms of reaction rate: 2.1% of viewers leave a reaction compared to 0.77% for peers. With about four posts per week, an ad post will stay in view for a long time, capturing steady audience attention.

About the channel

The channel introduces users to trends in AI image and short video generation. The feed has been maintained in Russian for three months and consists of visual photo and video examples with instructions on how to replicate them in the bot.

In the catalog, the channel ranks alongside @kateneuraldreams, which is similar in size, but a significantly larger share of subscribers sees posts on @LumaAi_public: ERR 40.7% vs. 4.8%. Larger niche channels like @lexygpt exceed it in subscriber count, but fall behind in specific audience engagement.

What is published:

  • AI photoshoots: showcase of shots in a cinematic or magazine style, indicating the generation model.
  • Trending videos: short dynamic stories and templates of viral scenes to replicate.
  • Step-by-step tutorials: step-by-step workflows for creating the desired visual effect without complex prompts.

Posts are published mainly on weekdays during morning hours Moscow time, with an average frequency of 0.6 posts per day. In the computer technology catalog, the channel is considered small in size. Readers can expect a calm feed of short instructions and visual examples without third-party ads.

By subscribers, it ranks #94 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 11 Computer science catalog channels whose metrics look normal. They are a similar size: 1,059 to 4,892 subscribers.

ERR (reach) lower than 8 of 11
@LumaAi_public 40.7%
similar channels median 59.8%
Reactions per 100 views higher than 9 of 10
@LumaAi_public 2.11
similar channels median 0.53

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 6 to Oct 7. The dashed line is the median (697).

06461.3KAug 6: 318 viewsAug 8: 336 viewsAug 12: 350 viewsAug 17: 586 viewsAug 18: 403 viewsAug 19: 412 viewsAug 20: 456 viewsAug 22: 496 viewsAug 24: 530 viewsAug 27: 525 viewsAug 27: 556 viewsAug 28: 616 viewsAug 30: 599 viewsAug 31: 607 viewsSep 1: 670 viewsSep 2: 672 viewsSep 3: 717 viewsSep 4: 772 viewsSep 5: 909 viewsSep 6: 1,158 viewsSep 7: 1,171 viewsSep 8: 1,293 viewsSep 9: 1,287 viewsSep 10: 1,257 viewsSep 11: 1,209 viewsSep 13: 1,021 viewsSep 14: 868 viewsSep 15: 861 viewsSep 16: 944 viewsSep 18: 769 viewsSep 20: 716 viewsSep 21: 693 viewsSep 22: 701 viewsSep 23: 770 viewsSep 24: 732 viewsSep 25: 743 viewsSep 27: 732 viewsOct 1: 656 viewsOct 5: 487 viewsOct 7: 310 views Aug 6Oct 7
  • post views
  • median 697

Maximum: 1,293 views. Data as of Oct 10.

What could not be calculated

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

Cleanliness-index history

4 checks for this channel.

050100Sep 8: index 50, grade DSep 8Sep 9: index 50, grade DSep 9Oct 1: index 100, grade A+Oct 1Oct 10: index 94, grade A+Oct 10

Advertising outlook

Advertising placement: reasonable.

About 355–708 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.

Where to buy advertising

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

Questions about @LumaAi_public

Is there any fake engagement on @LumaAi_public?

The channel's integrity index is 94 out of 100, with an A+ grade and "metrics are normal" status. The view distribution is natural, and no apparent anomalies in audience behavior have been detected.

What reach do posts get on the channel?

The median view count stands at 697 with 1,711 subscribers, resulting in an ERR of about 40.7%. This is comparable to the average figures of similar catalog channels in the computer technology niche.

Is advertising on the channel justified?

Advertising here is considered justified. The channel is not overloaded with third-party integrations, and the low posting frequency keeps the ad from getting lost in the feed.

How the assessment was produced

Data source
Public Telegram data: posts, views, reactions, and channel metadata.
Date or snapshot
2026-10-10
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 @LumaAi_public assessment dated 2026-10-10 uses 40 recent public posts. At that snapshot the channel had 1,711 subscribers, median post views were 697, ERR was 40.7%, and the cleanliness index was 94/100.
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.