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@yunduancloud: statistics and cleanliness index

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Grade D some metrics deviate cleanliness index
data from 2026-10-07
Subscribers
154
Median views
148
ERR
96.1%
Posts sampled
40
Niche Computer science
Post language Chinese
Channel age 3 years

Data from 2026-10-07 — fresh.

Assessment summary

The channel is dedicated to cloud infrastructure, selling foreign provider accounts, and server setup in Chinese.

While reaching almost the entire subscriber base, posts show 0% reactions, and part of the message history has been deleted — about 65% of IDs are missing. Due to extremely infrequent posting and zero engagement, the audience is essentially passive, making the return on ad integrations unpredictable.

What to pay attention to

Views without engagement (reactions ≈ 0.000% of views)

There are views, but almost no reactions. Typically, with this level of reach, at least someone reacts to posts.

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.

Channel content

📣 Heavy advertising load

Most posts are direct promotions of brokerage services for purchasing cloud resources, affiliate links, and commercial contacts of the administrator.

Compared with similar channels

Compared with 69 Computer science catalog channels whose metrics look normal. There are too few channels of a similar size, so the whole niche is used: 10 to 4,404,048 subscribers.

ERR (reach) higher than 65 of 69
@yunduancloud 96.1%
similar channels median 11.5%
Reactions per 100 views lower than 64 of 64
@yunduancloud 0
similar channels median 0.49

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 Oct 26 to Oct 6. The dashed line is the median (148).

0134268Oct 26: 85 viewsOct 27: 91 viewsOct 27: 89 viewsOct 28: 102 viewsOct 28: 94 viewsOct 29: 102 viewsOct 31: 118 viewsNov 1: 132 viewsNov 4: 163 viewsNov 5: 169 viewsNov 6: 198 viewsJun 30: 162 viewsJul 20: 165 viewsJul 28: 150 viewsAug 1: 155 viewsAug 6: 139 viewsAug 6: 148 viewsAug 6: 170 viewsAug 23: 178 viewsSep 2: 162 viewsSep 3: 204 viewsDec 26: 138 viewsJan 1: 144 viewsFeb 3: 143 viewsFeb 3: 142 viewsFeb 26: 245 viewsMar 3: 149 viewsMar 12: 142 viewsMar 12: 166 viewsMar 16: 193 viewsMar 24: 226 viewsMar 31: 261 viewsApr 2: 268 viewsMay 18: 185 viewsMay 26: 184 viewsSep 17: 47 viewsOct 6: 9 viewsOct 6: 7 viewsOct 6: 6 viewsOct 6: 10 views Oct 26Oct 6
  • post views
  • median 148

Maximum: 268 views. Data as of Oct 7.

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 audience barely reacts to posts.

Not enough posts for a forecast.

Reach of advertising posts

Advertising posts have a median of 185 views versus 148 for regular posts — 25% higher.

Based on 5 advertising and 31 regular posts older than two days.

Without an ad label: 5 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 @yunduancloud

What is the channel's integrity index?

The channel received an integrity index of 50 out of 100, grade D, and a level of "anomalies present". The decrease is caused by the complete absence of reactions on posts and gaps in about 65% of message IDs.

What is the actual audience activity?

The median view count is 148 per post (ERR around 96.1%), but readers leave no reactions at all, and comments on posts are disabled.

Is it worth placing ads in this channel?

The feasibility of ad placement is considered questionable. The reason is a passive audience with zero response rate and infrequent posting (averaging one post every ten days).

How the assessment was produced

Data source
Public Telegram data: posts, views, reactions, and channel metadata.
Date or snapshot
2026-10-07
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 @yunduancloud assessment dated 2026-10-07 uses 40 recent public posts. At that snapshot the channel had 154 subscribers, median post views were 148, ERR was 96.1%, 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.

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/TGinspector_ru.