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@job_python: statistics and cleanliness index

Python Job | Вакансии | Стажировки

Все каналы и цены - @best_ITjob / neironka.ru Разместить вакансию или рекламу - @hr_rus http://telega.in/channels/job_python/card https://knd.gov.ru/license?id=675827470acf9c1f42e2cb43 #5MHNM @Spiral_Yuri

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Grade C some metrics deviate cleanliness index
data from 2026-10-24
Subscribers
23,331
Median views
2,612
ERR
11.2%
Posts sampled
40
Niche Job Listings
Post language Russian 98% of posts
Channel age 5 years

Data from 2026-10-24 — 14 days old.

Assessment summary

A channel with job vacancies and internships for Python developers: almost the entire feed consists of text job descriptions with grades, salaries, and work format; photos are rare.

By the share of subscribers who see a post, it is higher than similar channels in the catalog, but the audience almost does not engage: reactions account for 0.08% of views. The purity index is 55/100, grade C, level “there are deviations”; some messages have been deleted (about 17% of numbers are missing). Advertising posts get roughly the same reach as regular ones (2 803 vs. 2 632), and at 2.2 posts per day, an ad quickly leaves the visible part of the feed.

About the channel

A channel with job vacancies and internships for Python developers that has been run for more than five years. Almost all posts are in Russian and in text format: companies are looking for juniors, middles, and seniors — from backend and testing to AI agents and payment platforms.

In the catalog, it can be compared with @pythonist_ru and @python_easy_ru. In subscriber count, the channel almost matches @pythonist_ru, but a larger share of subscribers sees a post here; it is larger than @python_easy_ru, and its share of those seeing a post is also higher.

What it publishes:

  • Vacancies with filters: the description specifies grade, work format, and sometimes salary — from junior to senior.
  • Companies and stacks: there are vacancies from the gaming industry, fintech, infrastructure, and AI development.
  • Educational announcements: ads for open lessons on testing, microservices, and AI agents, as well as collections of interview questions.

Posts come out on average 2.2 times a day, more often in the morning and evening; 78% of publications are on weekdays. There are no forwards from other channels in the sample. The reader should expect a business feed of vacancies with rare advertising inserts, without long articles or reposts.

By subscribers, it ranks #20 of 67 channels in the Job Listings niche of the catalog.

What to pay attention to

Views without engagement (reactions ≈ 0.079% of views)

There are views, but almost no reactions. Usually, with such reach, at least someone reacts to posts.

What grade C means

Some metrics fall outside usual values — for example reach, view spread or reactions. The “How the assessment was produced” section shows which ones.

Compared with similar channels

Compared with 29 Job Listings catalog channels whose metrics look normal. They are a similar size: 7,944 to 60,300 subscribers.

ERR (reach) higher than 20 of 29
@job_python 11.2%
similar channels median 8.7%
Reactions per 100 views lower than 20 of 20
@job_python 0.08
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 Oct 6 to Oct 24. The dashed line is the median (2,612).

01.6K3.1KOct 6: 2,832 viewsOct 6: 2,731 viewsOct 7: 3,140 viewsOct 7: 3,101 viewsOct 8: 2,956 viewsOct 8: 2,959 viewsOct 9: 3,009 viewsOct 9: 3,056 viewsOct 10: 2,879 viewsOct 10: 2,611 viewsOct 11: 2,718 viewsOct 11: 2,613 viewsOct 12: 2,615 viewsOct 12: 2,805 viewsOct 13: 2,803 viewsOct 13: 2,914 viewsOct 13: 2,870 viewsOct 14: 2,821 viewsOct 15: 2,782 viewsOct 15: 2,833 viewsOct 16: 2,632 viewsOct 16: 2,496 viewsOct 17: 2,299 viewsOct 17: 2,158 viewsOct 18: 2,371 viewsOct 18: 2,419 viewsOct 19: 2,377 viewsOct 19: 2,246 viewsOct 20: 2,063 viewsOct 20: 2,172 viewsOct 20: 2,132 viewsOct 21: 2,053 viewsOct 21: 1,928 viewsOct 22: 1,735 viewsOct 22: 1,568 viewsOct 22: 1,618 viewsOct 23: 1,381 viewsOct 23: 1,273 viewsOct 23: 1,128 viewsOct 24: 544 views Oct 6Oct 24
  • post views
  • 3 posts newer than one day and still gaining views
  • median 2,612

Maximum: 3,140 views. Data as of Oct 24.

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

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.

About 1,164–1,521 people will see your post in the first 48 hours.

Reach of advertising posts

Advertising posts have a median of 2,803 views versus 2,632 for regular posts — 6% higher.

Based on 3 advertising and 31 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.

Where to buy advertising

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

Questions about @job_python

Does the channel show signs of fake engagement?

There is no direct fake-engagement score on the page. The purity index is 55/100, grade C, level “there are deviations”; the data shows that some messages have been deleted and an almost complete absence of reactions.

How many people see one post?

The median views of recent posts is 2 612, which is about 11.2% of 23 331 subscribers. Advertising posts get a median of 2 803 views versus 2 632 for regular ones.

Why is advertising placement here marked as questionable?

The reason is engagement: the audience is passive, and there are almost no reactions. Advertising posts get roughly the same reach as regular ones, but no measurable reaction is visible in the data.

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 @job_python assessment dated 2026-10-24 uses 40 recent public posts. At that snapshot the channel had 23,331 subscribers, median post views were 2,612, ERR was 11.2%, and the cleanliness index was 55/100.
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.