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@unicorn_base: statistics and cleanliness index

UNICORN BASE — стартапы и инвесторы России

UNICORN BASE объединяет стартапы, которые ищут инвестиции, и инвесторов, которые ищут перспективные проекты. https://unicornbase.ru/ По всем вопросам и предложениям: @unicornbase_support

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Grade A+ metrics look normal cleanliness index
data from 2026-10-13
Subscribers
831
Median views
485
ERR
58.4%
Posts sampled
40
Niche Investments
Post language Russian
Channel age 3 years

Data from 2026-10-13 — fresh.

Assessment summary

An aggregator of venture capital fundraising projects and industry event digests, running for over three years.

Posts appear rarely — on average once every ten days, and the reach of promotional messages is 44% lower than regular posts (a median of 276 vs. 493 views).

About the channel

A channel of a Russian platform connecting startups and venture investors, active for over three years. Posts are published in Russian as illustrated cards describing investment requests, tech products, and business events.

The directory features larger channels in related topics: @startup_club24 and @skolkovolive. However, @unicorn_base sees a significantly higher share of subscribers viewing its posts (ERR 58.4%) compared to @startup_club24 (8.6%) and @skolkovolive (3.8%).

What it publishes:

  • Startup cards: regular roundups of tech teams detailing their product stage and required funding volume.
  • Event announcements: schedules of industry conferences, pitch sessions, and business forums.
  • Funding sources: overviews of venture funds and investment firms highlighting their areas of focus.

Posts are published mostly in the afternoon between 12:00 and 18:00 Moscow time on weekdays, occasionally featuring forwarded materials from the "Russian Venture Forum | RVF 2027". The feed consists of concise, structured notes, but new content appears very rarely — roughly once every ten days.

By subscribers, it ranks #15 of 15 channels in the Investments niche of the catalog.

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 14 Investments catalog channels whose metrics look normal. There are too few channels of a similar size, so the whole niche is used: 1,296 to 259,922 subscribers.

ERR (reach) higher than 13 of 14
@unicorn_base 58.4%
similar channels median 18.6%
Reactions per 100 views lower than 8 of 14
@unicorn_base 1.49
similar channels median 1.6

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 May 22 to Oct 12. The dashed line is the median (485).

06471.3KMay 22: 471 viewsMay 26: 505 viewsMay 30: 574 viewsMay 30: 604 viewsJun 16: 594 viewsJul 3: 619 viewsJul 18: 664 viewsAug 1: 618 viewsAug 12: 713 viewsAug 13: 891 viewsSep 12: 967 viewsSep 12: 1,052 viewsNov 27: 926 viewsMar 6: 775 viewsApr 7: 450 viewsApr 8: 425 viewsApr 8: 446 viewsApr 12: 1,294 viewsApr 12: 444 viewsApr 12: 463 viewsApr 14: 423 viewsApr 16: 487 viewsApr 20: 534 viewsApr 28: 499 viewsMay 11: 407 viewsMay 12: 459 viewsMay 19: 387 viewsMay 26: 381 viewsMay 27: 435 viewsMay 28: 538 viewsJun 5: 548 viewsJun 27: 483 viewsJul 10: 460 viewsJul 14: 469 viewsJul 25: 530 viewsAug 23: 445 viewsSep 13: 377 viewsOct 1: 276 viewsOct 7: 201 viewsOct 12: 104 views May 22Oct 12
  • post views
  • 1 post newer than one day and still gaining views
  • median 485

Maximum: 1,294 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

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

Advertising outlook

Advertising placement: questionable.

Posts come out rarely, so an ad will struggle to get views.

Not enough posts for a forecast.

Reach of advertising posts

Advertising posts have a median of 276 views versus 493 for regular posts — 44% lower.

Based on 3 advertising and 36 regular posts older than two days.

Without an ad label: 3 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 @unicorn_base

Does @unicorn_base use fake engagement?

The channel's integrity index is 100 out of 100 (grade A+, level "metrics are normal"). No anomalies were detected in the data, and the share of subscribers reading posts is 58.4%.

How many views do the posts get?

Regular posts gather an average of 493 views, with a feed-wide median of 485 views. Meanwhile, promotional integrations perform worse — their median stands at 276 views.

Is it worth placing ads on the channel?

The advisability of advertising is considered questionable solely due to the low posting frequency: new posts appear on average once every ten days (0.1 posts per day).

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 @unicorn_base assessment dated 2026-10-13 uses 40 recent public posts. At that snapshot the channel had 831 subscribers, median post views were 485, ERR was 58.4%, and the cleanliness index was 100/100.
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/TGinspector_ru.