@AI_to_business: statistics and cleanliness index
ИИ работает за тебя | Внедрение ИИ в бизнес
Авторский канал о том, как заставить ИИ работать за тебя. Никаких курсов. Youtube: https://www.youtube.com/@AI_to_business Агрегатор нейросетей: @gpttop_pro_bot Реклама: @adv_ai_to_business
data from 2026-10-04
- Subscribers
- 15,450
- Median views
- 6,018
- ERR
- 39%
- Posts sampled
- 40
Data from 2026-10-04 — 4 days old.
Assessment summary
An author's channel featuring reviews of neural networks, model breakdowns, and the practical implementation of artificial intelligence in business processes. Posts are published infrequently—about once every three days—while the 39% ERR significantly exceeds the 10.1% median of similar channels in the catalog.
The variation in interest across topics is moderate, and comments are open and active. When planning integrations, keep in mind that sponsored posts gather 37% fewer views than regular ones, so it is more practical to calculate the baseline placement cost based on 3.9 thousand views.
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 29 Computer science catalog channels whose metrics look normal. They are a similar size: 5,333 to 45,235 subscribers.
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
Views by post
The latest 40 posts with views, from May 21 to Oct 1. The dashed line is the median (6,018).
- post views
- median 6,018
Maximum: 10,178 views. Data as of Oct 4.
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.
Advertising outlook
Advertising placement: reasonable.
About 1,361 people will see your post in the first 48 hours.
Reach of advertising posts
Advertising posts have a median of 3,896 views versus 6,210 for regular posts — 37% lower.
Based on 5 advertising and 35 regular posts older than two days.
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.
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Questions about @AI_to_business
Are there any suspicious metrics on the @AI_to_business channel?
The channel's Integrity Index is 99 out of 100 with an A+ grade, which corresponds to the "metrics are normal" level. No signals of artificial manipulation or unusual anomalies were detected.
How does the audience read the channel's posts?
Post reach is high: ERR is around 39%, which is noticeably higher than the average figures for similar channels in the catalog. Posts are published on average once every three days and gain a median of over 6 thousand views.
Is advertising in this channel justified?
Ad placement is considered justified. However, keep in mind that sponsored posts average 3,896 views, which is one-third lower than the reach of standard feed posts.
How the assessment was produced
- Data source
- Public Telegram data: posts, views, reactions, and channel metadata.
- Date or snapshot
- 2026-10-04
- 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 @AI_to_business assessment dated 2026-10-04 uses 40 recent public posts. At that snapshot the channel had 15,450 subscribers, median post views were 6,018, ERR was 39.0%, and the cleanliness index was 99/100.
- 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/TGinspector_ru.