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@whrdata: statistics and cleanliness index

Красивая аналитика | HR | Tech

Анализирую рынок [HR]: процессы, решения, системы, платформы, тренды, мнения, исследования, публикации, кейсы. Про людей на работе и в жизни РКН: https://vk.cc/cHknrk за сотрудничеством к @victoria_pi или https://telega.in/c/whrdata/?r=hC2dMj5r

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Grade A metrics look normal cleanliness index
data from 2026-10-13
Subscribers
18,040
Median views
860
ERR
4.8%
Posts sampled
40
Niche Job Listings
Post language Russian
Channel age 6 years

Data from 2026-10-13 — 25 days old.

Assessment summary

A channel about the HR-Tech market, workforce analytics, and corporate processes, run for over six years in the format of illustrated expert notes.

Posts are seen by a smaller share of the audience than those of similar channels in the catalog: the ERR is 4.8% vs. a median of 11.2%, and over the past month the median view count dropped from 1244 to 860. Sponsored posts gain 22% fewer views than regular posts, so the real return should be calculated starting from 730 views.

About the channel

The channel is dedicated to labor market analytics, HR processes, automation, and technology adoption in human resource management. The feed has been run in Russian for over six years, presenting content as author notes, diagrams, infographics, and slides from specialized conferences.

In the catalog, the channel sits in the middle of its niche, lagging behind @savetoreadlater in scale, but outperforming @culture_tnd and @russiahh in subscriber count. At the same time, a post is seen by a smaller share of subscribers than in @culture_tnd and @savetoreadlater.

What it publishes:

  • HR analytics and processes: reviews of corporate systems, employee well-being metrics, and personnel records workflow optimization.
  • AI and automation: overviews of neural network integration in recruitment, case analyses, and notes from expert talks at meetups.
  • Industry announcements: calendars of key forums, webinars, and conferences for HR specialists.

Posts are published exclusively on weekdays, mostly in the morning hours from 6:00 to 12:00 Moscow time, with a frequency of slightly less than one post per day. Readers can expect a steady feed with an expert focus and a minimal share of third-party ads.

By subscribers, it ranks #27 of 67 channels in the Job Listings niche of the catalog.

What grade A means

Metrics look normal: no signals lowering the index were found, or they are weak.

Compared with similar channels

Compared with 28 Job Listings catalog channels whose metrics look normal. They are a similar size: 6,123 to 41,451 subscribers.

ERR (reach) lower than 23 of 28
@whrdata 4.8%
similar channels median 9.5%
Reactions per 100 views higher than 15 of 18
@whrdata 0.87
similar channels median 0.22

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 26 to Oct 13. The dashed line is the median (860).

01K2KAug 26: 1,147 viewsAug 26: 2,002 viewsAug 27: 1,452 viewsSep 1: 1,010 viewsSep 2: 1,259 viewsSep 3: 1,094 viewsSep 4: 1,068 viewsSep 4: 1,103 viewsSep 8: 969 viewsSep 9: 910 viewsSep 10: 1,052 viewsSep 11: 1,013 viewsSep 14: 993 viewsSep 16: 940 viewsSep 16: 869 viewsSep 17: 852 viewsSep 18: 990 viewsSep 21: 929 viewsSep 23: 802 viewsSep 23: 1,027 viewsSep 24: 938 viewsSep 29: 734 viewsSep 29: 729 viewsSep 30: 895 viewsSep 30: 730 viewsOct 1: 721 viewsOct 1: 771 viewsOct 2: 795 viewsOct 5: 690 viewsOct 5: 729 viewsOct 6: 729 viewsOct 6: 664 viewsOct 7: 618 viewsOct 7: 587 viewsOct 7: 577 viewsOct 8: 630 viewsOct 8: 752 viewsOct 12: 502 viewsOct 12: 489 viewsOct 13: 249 views Aug 26Oct 13
  • post views
  • 1 post newer than one day and still gaining views
  • median 860

Maximum: 2,002 views. Data as of Oct 13.

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.

050100Sep 14: index 100, grade A+Sep 14Oct 13: index 90, grade AOct 13

Advertising outlook

Advertising placement: questionable.

Only a small share of subscribers sees the posts.

About 286–385 people will see your post in the first 48 hours.

Reach of advertising posts

Advertising posts have a median of 729 views versus 939 for regular posts — 22% lower.

Based on 9 advertising and 28 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 @whrdata

What is the channel integrity score of @whrdata?

The channel integrity score is 90 out of 100 (grade A, "metrics normal" level). No signs of abnormal metric manipulation were found during the audit.

How active is the audience on the channel?

Posts gain an average of 860 views, and the ERR is 4.8%. About 0.87% of readers leave reactions, which aligns with typical benchmarks for catalog channels.

Is it worthwhile to place ads on @whrdata?

The viability of placing ads is considered questionable, as posts are viewed by a relatively small share of subscribers. Furthermore, sponsored posts collect an average of 729 views — 22% less than standard publications.

How the assessment was produced

Data source
Public Telegram data: posts, views, reactions, and channel metadata.
Date or snapshot
2026-10-13
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 @whrdata assessment dated 2026-10-13 uses 40 recent public posts. At that snapshot the channel had 18,040 subscribers, median post views were 860, ERR was 4.8%, and the cleanliness index was 90/100.
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.