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@barnaul_rabota: statistics and cleanliness index

Работа Барнаул

Вакансии Барнаула в твоём телефоне. Вы можете бесплатно подать объявление с Вакансией или разместить Резюме в этом канале используя умного чат-бота - @Rabota_Brn_bot

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Grade B metrics look normal cleanliness index
data from 2026-10-24
Subscribers
2,301
Median views
49
ERR
2.1%
Posts sampled
40
Niche Job Listings
Post language Russian 75% of posts
Channel age 8 years

Data from 2026-10-24 — 14 days old.

Assessment summary

“Work Barnaul” is a city job and résumé board: listings from Barnaul employers and job seekers, roughly half in text, half as photo cards; the channel has been run for more than eight years.

The share of subscribers who see a post is lower than that of similar channels in the catalog: only a small part of subscribers reads the feed, and with 21 publications per day, a listing leaves the visible part of the feed within hours. For advertising, this means that real reach is dozens of views per post, not the number of subscribers.

About the channel

“Work Barnaul” is a city job classifieds board: vacancies and résumés for Barnaul and the surrounding area. The feed is in Russian, the channel has been run for more than eight years, and almost half of the posts are photo cards from employers.

In the catalog, next to it are @autosell22 with the Altai Krai car market — with almost equal subscriber counts, a post here is seen by a smaller share of subscribers (2.1% vs. 7.5%) — and the larger @rabota38irk with vacancies in Irkutsk Oblast, whose share is also higher.

What it publishes:

  • Vacancies: car washer, watchman, janitor, CNC operator, cook for a rotational assignment — with salary, schedule, and phone number.
  • Résumés: short “looking for work” listings with experience, district, and desired salary.
  • Company photo cards: branded listings from “Dobry Doktor,” “Avtopt,” and “Martika” with terms and HR department contacts.
  • Third-party advertising: debt write-off services, side work on product cards.

Posts are published mainly in the morning (52%) and afternoon (25%), more often on weekdays than on weekends — up to 21 publications per day. There are no forwards from other channels; listings come through a chatbot. This is a stream of short, similar notes with almost no pauses, so the reader needs the habit of scrolling the feed.

By subscribers, it ranks #60 of 67 channels in the Job Listings niche of the catalog.

What to pay attention to

Low reach: ERR ≈ 2.2%

View-based engagement is below the norm for a channel of this size. It may be explained by the niche and a passive audience, but it is worth checking.

What grade B means

Metrics are mostly normal; one or two weak signals lower the index.

Channel content

📣 Heavy advertising load

The feed contains native advertising of third-party services: debt write-off from 200,000 ₽ and side work on product cards with a promised income of 10,000 ₽ in three hours.

Compared with similar channels

Compared with 17 Job Listings catalog channels whose metrics look normal. They are a similar size: 1,543 to 6,386 subscribers.

ERR (reach) lower than 17 of 17
@barnaul_rabota 2.1%
similar channels median 16.5%

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 Oct 22 to Oct 24. The dashed line is the median (49).

03570Oct 22: 70 viewsOct 22: 63 viewsOct 23: 57 viewsOct 23: 57 viewsOct 23: 51 viewsOct 23: 51 viewsOct 23: 53 viewsOct 23: 51 viewsOct 23: 48 viewsOct 23: 49 viewsOct 23: 50 viewsOct 23: 47 viewsOct 23: 44 viewsOct 23: 52 viewsOct 23: 46 viewsOct 23: 48 viewsOct 23: 50 viewsOct 23: 50 viewsOct 23: 54 viewsOct 23: 52 viewsOct 23: 54 viewsOct 23: 51 viewsOct 23: 56 viewsOct 23: 57 viewsOct 23: 56 viewsOct 23: 52 viewsOct 24: 32 viewsOct 24: 33 viewsOct 24: 35 viewsOct 24: 38 viewsOct 24: 35 viewsOct 24: 29 viewsOct 24: 32 viewsOct 24: 26 viewsOct 24: 26 viewsOct 24: 22 viewsOct 24: 18 viewsOct 24: 13 viewsOct 24: 2 viewsOct 24: 2 views Oct 22Oct 24
  • post views
  • 20 posts newer than one day and still gaining views
  • median 49

Maximum: 70 views. Data as of Oct 24.

What scoring found in the view pattern

Low reach: ERR ≈ 2.2%

View-based engagement is below the norm for a channel of this size. It may be explained by the niche and a passive audience, but it is worth checking.

What could not be calculated

View build-up not assessed: the channel posts often, and every post is newer than a week.

Cleanliness-index history

The channel's data has been collected once — the chart will appear after the next update.

Advertising outlook

Advertising placement: questionable.

Only a small share of subscribers sees the posts.

About 33–52 people will see your post in the first 48 hours.

Reach of advertising posts

Too few advertising posts to compare: 0. 3 more are too fresh.

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 @barnaul_rabota

What does the cleanliness index of 78 out of 100 mean?

This is grade B and the “metrics within norm” level: the higher the index, the fewer deviations found during the check. Among the findings here there is one — low reach by views.

What share of subscribers sees a post in this channel?

About 2.1%: with 2,301 subscribers, the median views are 49. View-based engagement is below the norm for a channel of this size.

Is it worth advertising here?

Placement is marked as questionable; the reason is reach: posts are seen by a small share of subscribers. There are too few advertising posts in the sample to evaluate their views separately, and comments in the channel are closed.

How the assessment was produced

Data source
Public Telegram data: posts, views, reactions, and channel metadata.
Date or snapshot
2026-10-24
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 @barnaul_rabota assessment dated 2026-10-24 uses 40 recent public posts. At that snapshot the channel had 2,301 subscribers, median post views were 49, ERR was 2.1%, and the cleanliness index was 78/100.
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.