TG Inspector TG Inspector

Fake engagement check for @fotobudka_ai

Фотобудка ИИ | тренды и нейросети | контент ИИ | шотикс | пингвин | чиз — public reach metrics and manipulation-risk assessment dated 2026-06-30.

95/100
cleanliness index
Grade A+
low manipulation risk
Subscribers
33202
Median views
7077
ERR
21.3%
Posts sampled
40
Niche
Lifestyle

Evidence snapshot

The @fotobudka_ai assessment dated 2026-06-30 uses 40 recent public posts. At that snapshot the channel had 33,202 subscribers, median post views were 7,077, ERR was 21.3%, and the cleanliness index was 95/100.

Source: public Telegram counters captured during the saved check. The result can change after a new snapshot.

Advertising outlook

Advertising placement: questionable.

The channel has not published recently. Confirm its next posting date with the administrator.

Estimated 48-hour reach: 5,461–7,134 views.

What grade A+ means

The channel shows almost no signs of manipulated engagement. Its public reach and audience activity are consistent with the subscriber count.

Run a fresh check for @fotobudka_ai

This page shows the saved result dated 2026-06-30. The bot collects a new snapshot for a current report.

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Monitoring reruns the assessment and sends an alert when ERR drops, subscribers change abnormally, or the cleanliness index moves.

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Questions about @fotobudka_ai

What does grade A+ mean for @fotobudka_ai?

The channel shows almost no signs of manipulated engagement. Its public reach and audience activity are consistent with the subscriber count.

What is the ERR of @fotobudka_ai?

ERR is 21.3%. Median post views equal 21.3% of the channel's 33,202 subscribers. ERR describes observed reach, not proof that every remaining subscriber is fake.

How does TG Inspector calculate the cleanliness index?

The 95/100 index combines several public-data signals, including reach relative to audience size, audience behavior, and channel metadata. It is a probabilistic assessment, not proof of intentional manipulation.

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This automated assessment is probabilistic. It describes statistical signals in public data and does not claim intentional manipulation. Channel owners can run a new check or contact support to request removal.

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