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Fake engagement check for @HarnessLLM

Просто Harness — public reach metrics and manipulation-risk assessment dated 2026-08-21.

Канал о современных AI-технологиях, LLM, Harness. Инструменты, кейсы, автоматизация и практические решения для разработчиков и IT-команд. iskadev.com

55/100
cleanliness index
Grade C
some signals require caution
Subscribers
2617
Median views
12
ERR
0.5%
Posts sampled
40
Niche
Technology

Evidence snapshot

The @HarnessLLM assessment dated 2026-08-21 uses 40 recent public posts. At that snapshot the channel had 2,617 subscribers, median post views were 12, ERR was 0.5%, and the cleanliness index was 55/100.

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

Advertising outlook

Advertising placement: not recommended.

A small share of subscribers sees each post, limiting likely advertising reach.

Estimated 48-hour reach: 10–15 views.

What grade C means

Several metrics require caution. They may indicate partially manipulated views or a passive audience, so advertising should be evaluated carefully.

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This page shows the saved result dated 2026-08-21. 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 @HarnessLLM

What does grade C mean for @HarnessLLM?

Several metrics require caution. They may indicate partially manipulated views or a passive audience, so advertising should be evaluated carefully.

What is the ERR of @HarnessLLM?

ERR is 0.5%. Median post views equal 0.5% of the channel's 2,617 subscribers. ERR describes observed reach, not proof that every remaining subscriber is fake.

How does TG Inspector calculate the cleanliness index?

The 55/100 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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