@mihalsanch: statistics and cleanliness index
ipa hack iPhone | iOS
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data from 2026-10-22
- Subscribers
- 98,902
- Median views
- 12,385
- ERR
- 12.5%
- Posts sampled
- 40
Data from 2026-10-22 — 16 days old.
Assessment summary
The channel distributes cracked IPA apps and mods for iPhone: collections of games and programs with a list of unlocked features and a link to the file; every post includes a block with a VPN bot and certificate sales.
ERR 12,5% — higher than most similar channels in the catalog, and ad posts collect more views than regular ones (by 14%). At 1,1 posts per day, an ad stays in the feed for a long time, but engagement is weak: reactions — 0,19% of views.
About the channel
A channel for iPhone owners who install apps bypassing the App Store: the feed contains collections of cracked IPA files and mods with a list of unlocked features and a download link. It has been run for three years, all posts are in Russian, and the format is media with a list-style caption.
In the catalog, @scarlet_info, @obzormodbandut and @freeapkpr0 are nearby. This channel has fewer subscribers than each of them, but a larger share of subscribers sees a post than on @obzormodbandut and @freeapkpr0, and a smaller share than on @scarlet_info.
What it publishes:
- Game mods: collections such as Subway Surfers, Gardenscapes and Mortal Kombat with god mode and unlimited resources.
- App mods: Sberbank, VTB, VKontakte, Duolingo, Lightroom with unlocked premium.
- Telegram and TikTok clients: Ghostgram, Swiftgram, TikTok Mod GTok with region switching and auto-renewal of the streak.
- Certificates and VPN: every post includes a free VPN bot and an offer to buy a personal certificate.
They post about once a day, more often in the evenings and on weekdays; there are no forwards from other channels in the feed, and the channel's posts are forwarded by @scarlet_info. The feed is short and technical: feature lists, file links and a service block with VPN and certificate under almost every post.
By subscribers, it ranks #29 of 102 channels in the Computer science 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 21 Computer science catalog channels whose metrics look normal. They are a similar size: 34,000 to 294,866 subscribers.
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.
Compare with another channel
Dynamics and anomalies
Scroll horizontally to see the full charts.
Views by post
The latest 40 posts with views, from Sep 12 to Oct 19. The dashed line is the median (12,385).
- post views
- median 12,385
Maximum: 46,874 views. Data as of Oct 22.
What could not be calculated
View build-up not assessed: there were no posts newer than one day.
Cleanliness-index history
The channel's data has been collected once — the chart will appear after the next update.
Advertising outlook
Advertising placement: reasonable.
About 8,494 people will see your post in the first 48 hours.
Reach of advertising posts
Advertising posts have a median of 13,481 views versus 11,787 for regular posts — 14% higher.
Based on 23 advertising and 17 regular posts older than two days.
Without an ad label: 22 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.
Forwarding links
@mihalsanch's posts are forwarded by
Only among catalog channels.
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Questions about @mihalsanch
Did the channel pass the check cleanly?
The cleanliness index is 96 out of 100, grade A+, level “metrics within normal range.” The check found no signals that lower the index.
What is the channel's post reach?
The median views are 12 385 with 98 902 subscribers, ERR about 12,5%. Ad posts in the sample had a median of 13 481 views versus 11 787 for regular ones.
Is it worth advertising here?
The check marks placement as justified. Ad posts in the sample were read no worse, and slightly better, than regular ones.
How the assessment was produced
- Data source
- Public Telegram data: posts, views, reactions, and channel metadata.
- Date or snapshot
- 2026-10-22
- 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 @mihalsanch assessment dated 2026-10-22 uses 40 recent public posts. At that snapshot the channel had 98,902 subscribers, median post views were 12,385, ERR was 12.5%, and the cleanliness index was 96/100.
- 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.
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.