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@gitbig: statistics and cleanliness index

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佛系更新，长期维护 频道主: @gitbig_bot 群: @gitbig_chat 机场|节点|vpn|梯子|代理|翻墙|加速器|科学上网|破解|windows|ios|android|mac|bot|苹果|安卓|插件|软件|教程|脚本|音乐

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Grade D some metrics deviate cleanliness index
data from 2026-10-23
Subscribers
89,153
Median views
7,441
ERR
8.3%
Posts sampled
40
Niche Computer science
Post language Chinese
Channel age 4 years

Data from 2026-10-23 — 15 days old.

Assessment summary

Chinese-language software catalog: portable Windows program builds, cracked Android apps, clients for bypassing blocks, and long collections of video-downloading bots — the channel has been run for more than four years.

A post is seen by about 8.3% of subscribers — a larger share than @[hidden] (4.6%) and @[hidden] (4.8%) — but the response is almost zero: reactions account for 0.05% of views. Ad posts get 22% fewer views than regular ones, and about 63% of numbers are missing in the numbering of the latest messages, so the advertiser simply won't see part of the feed.

About the channel

Chinese-language channel about software that is more than four years old: here they post builds of programs and mobile apps with a short list of features and a “checked” mark. The format is mostly media with a text caption-list, less often photos and videos.

In the catalog it stands next to @apkgeek, @sharaapk and @easyapk. It has fewer subscribers than @apkgeek and @easyapk, but a post is seen by a larger share of subscribers than in both of these channels; @sharaapk is smaller than this channel, and the share of subscribers who see a post is similar for them.

What it publishes:

  • Windows builds: portable versions of programs such as Ghost Downloader, Clash and Speedtest with a “no installation needed” mark.
  • Android apps: modifications with unlocked paid features — a file manager, a reader, music clients.
  • Bot collections: long lists of bots for downloading videos from Instagram and TikTok.
  • Network access: ads for proxy services and collections of “airports” with prices per traffic.

They post about once a day, more often at night and in the morning UTC; there are few forwards — two posts came from another channel. Expect short catalog-style notes with regular advertising of third-party services.

By subscribers, it ranks #31 of 102 channels in the Computer science niche of the catalog.

What to pay attention to

Views without engagement (reactions ≈ 0.052% of views)

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

What grade D means

The index is clearly lowered: one or more metrics fall outside usual values. The “How the assessment was produced” section shows which ones.

Channel content

⚠️ Mixed content signals

In the feed there is advertising for third-party services: proxies and “airports,” account resale, AI-API; two posts are promotion of an online casino with promises of guaranteed payouts and stories of large winnings.

Compared with similar channels

Compared with 25 Computer science catalog channels whose metrics look normal. They are a similar size: 29,748 to 199,391 subscribers.

ERR (reach) higher than 13 of 25
@gitbig 8.3%
similar channels median 7.4%
Reactions per 100 views lower than 24 of 24
@gitbig 0.05
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 22 to Oct 23. The dashed line is the median (7,441).

04.8K9.6KSep 22: 8,471 viewsSep 22: 8,340 viewsSep 23: 8,558 viewsSep 23: 8,538 viewsSep 25: 8,147 viewsSep 26: 8,665 viewsSep 26: 8,316 viewsSep 27: 9,133 viewsSep 27: 9,553 viewsSep 29: 8,981 viewsSep 29: 9,401 viewsOct 1: 8,832 viewsOct 1: 9,020 viewsOct 3: 8,779 viewsOct 3: 9,622 viewsOct 5: 8,438 viewsOct 7: 7,945 viewsOct 7: 8,418 viewsOct 9: 7,667 viewsOct 9: 7,683 viewsOct 10: 7,215 viewsOct 11: 4,487 viewsOct 11: 6,324 viewsOct 11: 6,195 viewsOct 11: 6,586 viewsOct 12: 6,376 viewsOct 12: 6,391 viewsOct 13: 6,254 viewsOct 14: 6,191 viewsOct 14: 6,414 viewsOct 16: 5,743 viewsOct 16: 5,903 viewsOct 18: 5,028 viewsOct 18: 5,216 viewsOct 20: 4,198 viewsOct 20: 4,344 viewsOct 21: 3,837 viewsOct 23: 1,360 viewsOct 23: 1,828 viewsOct 23: 1,555 views Sep 22Oct 23
  • post views
  • 3 posts newer than one day and still gaining views
  • median 7,441

Maximum: 9,622 views. Data as of Oct 23.

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 2,279–4,557 people will see your post in the first 48 hours.

Reach of advertising posts

Advertising posts have a median of 6,376 views versus 8,147 for regular posts — 22% lower.

Based on 3 advertising and 33 regular posts older than two days.

Without an ad label: 5 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 @gitbig

Is @gitbig clean?

The cleanliness index is 50 out of 100, grade D, level “there are deviations.” Two factors lowered the index: many deleted messages (about 63% of numbers missing) and an almost complete absence of reactions despite noticeable views.

What is the channel's post reach?

The median views are about 7.4 thousand with 89 thousand subscribers, meaning a post is seen by about 8.3% of the base. This is a larger share than that of similar channels in the catalog, for example @[hidden] and @[hidden].

Is it worth advertising here?

The advisability of placement is marked as debatable: the audience is passive, there are almost no reactions (0.05% of views). In addition, ad posts get about 22% fewer views than regular ones — this should be taken into account when calculating the price.

How the assessment was produced

Data source
Public Telegram data: posts, views, reactions, and channel metadata.
Date or snapshot
2026-10-23
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 @gitbig assessment dated 2026-10-23 uses 40 recent public posts. At that snapshot the channel had 89,153 subscribers, median post views were 7,441, ERR was 8.3%, and the cleanliness index was 50/100.
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.