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@productshelf: statistics and cleanliness index

Продуктовая полка

Product Management & Business 👨🏼‍💼По рекламе: @aleksusovvv https://beryl-troodon-5ff.notion.site/2848ff6e43e780c88c4cfb625cea4bbb?source=copy_link https://telega.in/c/productshelf

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Grade A+ metrics look normal cleanliness index
data from 2026-09-08
Subscribers
6,418
Median views
737
ERR
11.5%
Posts sampled
40

Data from 2026-09-08 — 30 days old.

Assessment summary

The channel demonstrates stable engagement without signs of artificial inflation: sponsored posts gather 719 views—practically on par with regular publications (751 views, a difference of only 4%).

A moderate posting frequency of 1.9 posts per day allows advertisements to stay near the top of the feed, while the growth of median views from 470 to 737 over two months with a stable subscriber base indicates sustained interest from the target audience of product managers.

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 20 Computer science catalog channels whose metrics look normal. They are a similar size: 2,150 to 15,450 subscribers.

ERR (reach) lower than 11 of 20
@productshelf 11.5%
similar channels median 13.3%
Reactions per 100 views lower than 15 of 19
@productshelf 0.38
similar channels median 0.55

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 Aug 18 to Sep 8. The dashed line is the median (737).

06581.3KAug 18: 957 viewsAug 18: 873 viewsAug 18: 810 viewsAug 19: 885 viewsAug 19: 810 viewsAug 20: 753 viewsAug 20: 719 viewsAug 20: 1,316 viewsAug 20: 806 viewsAug 21: 768 viewsAug 21: 1,291 viewsAug 21: 862 viewsAug 21: 826 viewsAug 22: 756 viewsAug 24: 744 viewsAug 24: 643 viewsAug 24: 731 viewsAug 24: 699 viewsAug 24: 640 viewsAug 25: 671 viewsAug 25: 596 viewsAug 25: 977 viewsAug 26: 701 viewsAug 26: 666 viewsAug 26: 649 viewsAug 26: 655 viewsAug 26: 651 viewsAug 27: 751 viewsAug 27: 778 viewsAug 28: 782 viewsAug 28: 810 viewsAug 31: 766 viewsAug 31: 692 viewsAug 31: 672 viewsSep 1: 702 viewsSep 1: 693 viewsSep 2: 627 viewsSep 3: 490 viewsSep 8: 246 viewsSep 8: 162 views Aug 18Sep 8
  • post views
  • 2 posts newer than one day and still gaining views
  • median 737

Maximum: 1,316 views. Data as of Sep 8.

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

Cleanliness-index history

2 checks for this channel.

050100Jul 8: index 98, grade A+Jul 8Sep 8: index 99, grade A+Sep 8

Advertising outlook

Advertising placement: reasonable.

About 334–668 people will see your post in the first 48 hours.

Reach of advertising posts

Advertising posts have a median of 719 views versus 751 for regular posts — 4% lower.

Based on 11 advertising and 27 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.

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

Questions about @productshelf

What is the inflation risk for the "Продуктовая полка" channel?

The channel's risk score is 1 out of 100, with no clear signs of audience or view inflation detected.

What is the actual reach of publications?

Median reach is around 737 views (ERR ≈ 11.5%), while sponsored publications gather an average of 719 views.

Is advertising in this channel justified?

Placement is justified: the channel publishes high-quality niche content for product managers, has open comments, and the reach of sponsored posts is practically on par with regular ones.

How the assessment was produced

Data source
Public Telegram data: posts, views, reactions, and channel metadata.
Date or snapshot
2026-09-08
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 @productshelf assessment dated 2026-09-08 uses 40 recent public posts. At that snapshot the channel had 6,418 subscribers, median post views were 737, ERR was 11.5%, 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.