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@skolkovolive: statistics and cleanliness index

Сколково

Официальный канал Фонда «Сколково» РКН: https://clck.ru/3GN5AS Для связи: pressoffice@sk.ru Поддержать канал: https://t.me/boost/skolkovolive

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Grade A metrics look normal cleanliness index
data from 2026-10-12
Subscribers
41,943
Median views
1,583
ERR
3.8%
Posts sampled
40
Niche Computer science
Post language Russian
Channel age 9 years

Data from 2026-10-12 — 26 days old.

Assessment summary

The official foundation channel featuring news on innovations, grants, and resident developments.

A post is seen by a noticeably smaller share of the audience than on most similar channels in the catalog: ERR 3.8% versus a median of 10.1%, which means the actual reach of publications is low relative to the total subscriber base.

About the channel

The official channel of the Skolkovo Foundation dedicated to Russian technologies, startups, and scientific developments. The channel has been run for over nine years exclusively in Russian, formatting publications with high-quality photos, infographics, and short video clips.

In the catalog, the channel is positioned in the middle of the technology resources niche. In terms of audience size, it surpasses @neuralforbusiness, where an even smaller share of the audience sees a post (ERR 0.5%), but trails behind the large channel @chatgpt_try, where the view rate is 5.7%.

What it publishes:

  • Resident cases: reports on the implementation of foundation participants' developments in medicine, industry, and service.
  • Support measures: announcements of grant programs, accelerators, and partner pilots with major companies.
  • Morning digests: roundups of major events in science, business, and artificial intelligence.

The feed is updated regularly, with an average of 1.7 publications per day strictly on weekdays, and more than half of the posts appear during daytime Moscow hours. The channel's materials are often forwarded by the @skregions channel. It is a calm corporate feed with concise illustrated notes on technology and a complete absence of third-party advertising.

By subscribers, it ranks #46 of 102 channels in the Computer science 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 36 Computer science catalog channels whose metrics look normal. They are a similar size: 14,113 to 124,253 subscribers.

ERR (reach) lower than 32 of 36
@skolkovolive 3.8%
similar channels median 9.9%
Reactions per 100 views higher than 29 of 35
@skolkovolive 0.77
similar channels median 0.36

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 Sep 15 to Oct 9. The dashed line is the median (1,583).

02.2K4.3KSep 15: 3,513 viewsSep 15: 1,803 viewsSep 16: 1,968 viewsSep 17: 1,936 viewsSep 17: 4,315 viewsSep 17: 1,381 viewsSep 17: 1,544 viewsSep 17: 2,198 viewsSep 18: 1,890 viewsSep 21: 1,716 viewsSep 21: 1,699 viewsSep 22: 1,538 viewsSep 22: 1,526 viewsSep 23: 1,524 viewsSep 23: 1,765 viewsSep 24: 1,572 viewsSep 24: 1,676 viewsSep 25: 1,630 viewsSep 25: 2,148 viewsSep 25: 2,442 viewsSep 28: 3,589 viewsSep 29: 1,658 viewsSep 29: 1,584 viewsSep 30: 1,581 viewsSep 30: 1,606 viewsOct 1: 1,511 viewsOct 1: 1,583 viewsOct 2: 1,662 viewsOct 2: 1,311 viewsOct 2: 1,401 viewsOct 2: 1,744 viewsOct 5: 1,318 viewsOct 6: 1,132 viewsOct 6: 1,221 viewsOct 7: 1,192 viewsOct 7: 1,130 viewsOct 8: 1,474 viewsOct 8: 1,069 viewsOct 9: 1,022 viewsOct 9: 879 views Sep 15Oct 9
  • post views
  • median 1,583

Maximum: 4,315 views. Data as of Oct 12.

What could not be calculated

View build-up not assessed: there were no posts newer than one day.

Cleanliness-index history

2 checks for this channel.

050100Sep 9: index 85, grade ASep 9Oct 12: index 88, grade AOct 12

Advertising outlook

Advertising placement: questionable.

Only a small share of subscribers sees the posts.

About 747 people will see your post in the first 48 hours.

Reach of advertising posts

No advertising posts among the latest 40.

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 @skolkovolive

What is the channel's purity index?

The channel's purity index is 88 out of 100; it has been assigned Grade A and a "metrics normal" level. No signals lowering this indicator were detected during the audit.

How many subscribers actually see the posts?

The median view count is 1,583 per post, which corresponds to a reach of about 3.8% of the subscriber base. This is below the median value for similar channels in the catalog.

Is advertising on the channel justified?

The feasibility of ad placement is considered questionable. The main reason is that publications are seen by a relatively small portion of the channel's total audience.

How the assessment was produced

Data source
Public Telegram data: posts, views, reactions, and channel metadata.
Date or snapshot
2026-10-12
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 @skolkovolive assessment dated 2026-10-12 uses 40 recent public posts. At that snapshot the channel had 41,943 subscribers, median post views were 1,583, ERR was 3.8%, and the cleanliness index was 88/100.
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.