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@tech: statistics and cleanliness index

Startups & Ventures

A hub for startup news, trends, and insights, covering the global startup ecosystem for founders, investors, and innovators. Community: @startupdis Buy Ads: @strategy (this is our only account).

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Grade F many metrics deviate cleanliness index
data from 2026-10-18
Subscribers
2,126,276
Median views
5,021
ERR
0.2%
Posts sampled
40
Niche Computer science
Post language English
Channel age 7 years

Data from 2026-10-18 — 19 days old.

Assessment summary

An English-language tech and AI news channel: short notes about model releases, hardware, space, and science, almost always with photos or videos; it has been running for more than seven years.

With 2.1 million subscribers, a post is seen by about 5 thousand people: the share of those who saw it is many times lower than that of similar channels in the catalog — ERR 0.2% versus 14.2%, lower than all similar channels. Over the month, the base shrank by about 136 thousand people, while the median views remained almost the same; reactions per view, on the contrary, are higher than those of any similar channel in the catalog. For advertising, this means that reach does not grow with the number of subscribers.

About the channel

“Startups & Ventures” is an English-language tech and AI news channel: model and assistant releases, hardware, space, scientific research. The feed has been going for more than seven years, and posts are short notes with photos or videos.

In the catalog, next to it are small niche channels @thestartupsvc, @startup_club24, and @unicorn_base: this channel is tens and hundreds of times larger than them in subscribers, but a smaller share of them sees a post — ERR 0.2% versus 3.6%, 8.6%, and 58.4%.

What it publishes:

  • Models and AI services: updates to assistants and agents — from parallel sessions to managing browser tabs.
  • Hardware and devices: news about graphics cards, the smart home, and a $400 walking robot.
  • Space and transport: satellite connectivity for smartphones and tricks of an electric car with air nozzles.
  • Science: a map of squid hearing and wallpaper that generates energy from humidity.

Posts are published 2.9 times a day, more often during the day and on weekdays (UTC time); there are no forwards or ads in the sample. Readers can expect short news notes with media and no third-party content in the feed.

By subscribers, it ranks #4 of 102 channels in the Computer science niche of the catalog.

What to pay attention to

Very low reach: ERR ≈ 0.2% with 2 126 276 subscribers

Median views are a fraction of a percent of the subscriber count: the post is seen by a negligible part of the audience. There are subscribers, but almost no views.

What grade F means

The index is at its lowest: the metrics fall far outside usual values, or Telegram has flagged the channel as a scam. See the “How the assessment was produced” section for details.

Compared with similar channels

Compared with 9 Computer science catalog channels whose metrics look normal. They are a similar size: 878,812 to 4,359,353 subscribers.

ERR (reach) lower than 9 of 9
@tech 0.2%
similar channels median 9%
Reactions per 100 views higher than 8 of 8
@tech 22.33
similar channels median 0.51

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 4 to Oct 18. The dashed line is the median (5,021).

03.1K6.2KOct 4: 5,869 viewsOct 4: 5,675 viewsOct 5: 5,197 viewsOct 5: 5,562 viewsOct 5: 5,498 viewsOct 6: 5,139 viewsOct 6: 5,270 viewsOct 7: 5,926 viewsOct 7: 5,168 viewsOct 7: 6,197 viewsOct 8: 5,446 viewsOct 8: 5,269 viewsOct 8: 5,558 viewsOct 9: 5,498 viewsOct 9: 5,196 viewsOct 9: 5,036 viewsOct 10: 4,914 viewsOct 10: 5,007 viewsOct 10: 5,244 viewsOct 11: 4,742 viewsOct 11: 4,805 viewsOct 11: 5,155 viewsOct 12: 5,264 viewsOct 12: 4,389 viewsOct 12: 4,649 viewsOct 13: 4,534 viewsOct 13: 4,196 viewsOct 13: 4,386 viewsOct 14: 4,396 viewsOct 14: 5,123 viewsOct 14: 4,957 viewsOct 15: 4,359 viewsOct 15: 4,294 viewsOct 15: 4,506 viewsOct 16: 3,936 viewsOct 16: 4,029 viewsOct 17: 3,609 viewsOct 17: 3,068 viewsOct 18: 2,142 viewsOct 18: 1,632 views Oct 4Oct 18
  • post views
  • 2 posts newer than one day and still gaining views
  • median 5,021

Maximum: 6,197 views. Data as of Oct 18.

What scoring found in the view pattern

Very low reach: ERR ≈ 0.2% with 2 126 276 subscribers

Median views are a fraction of a percent of the subscriber count: the post is seen by a negligible part of the audience. There are subscribers, but almost no views.

Cleanliness-index history

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

Advertising outlook

Advertising placement: not recommended.

Some of the channel's metrics deviate, so it is hard to say in advance how many people will see an ad.

Not calculated: many of the channel's metrics deviate, so a forecast would be unreliable.

Reach of advertising posts

Too few advertising posts to compare: 1.

Without an ad label: 1 post.

Questions about @tech

@tech has about 5 thousand views with 2 million subscribers — is that artificial inflation?

We measure reach and do not draw conclusions about its causes: the median post gets about 5 thousand views, which is a fraction of a percent of the subscriber base. Based on the set of metrics, the channel's purity index is 35 out of 100, grade F, level “many deviations”.

What is the reach of this channel's posts?

The median is about 5 thousand views per post with 2.1 million subscribers, ERR about 0.2%. The feed reaches a very small part of the base.

Can ads be placed here?

In our assessment, placement is questionable. The reason is the purity index: 35 out of 100 (grade F, level “many deviations”), so it is hard to say in advance how many people will see the ad. There were no ad posts in the latest sample.

How the assessment was produced

Data source
Public Telegram data: posts, views, reactions, and channel metadata.
Date or snapshot
2026-10-18
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 @tech assessment dated 2026-10-18 uses 40 recent public posts. At that snapshot the channel had 2,126,276 subscribers, median post views were 5,021, ERR was 0.2%, and the cleanliness index was 35/100.
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.