Marketing & affiliate — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 11 August 2026 and assigned it the closest of 31 fixed categories, at 69% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (6 of the pairs behind the counts below)
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 17 comparable posts for this entry, running 9 May 2023 to 7 February 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Across the whole group of 2, the earliest publisher we hold is @ganievartur — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_source, last confirmed 8 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
2 measurements taken within a single day. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 756–758 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
8 Aug 2026, 02:00
757
no change
7 Aug 2026, 12:10
757
first reading
Engagement
18 posts held, back to 9 May 2023 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 18 posts for this entry, the most recent from 7 February 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Photos
46
Links
112
Lifetime counters from Telegram’s own channel header, read 8 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Reaction mix
169 reactions across 17 posts, in 5 distinct kinds. The most used accounts for 42.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
72
42.6%
👍
44
26.0%
🔥
44
26.0%
😁
7
4.14%
🤩
2
1.18%
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 17 of the 18 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 169reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 9 May 2023 to 7 February 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Telegram Stars
Stars received
10,001
across the posts below
Posts paid on
5
of 17 we hold a reading for · 29%
Most on one post
2,500
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @ganievartur. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 18 most recent posts we hold for this entry, published 9 May 2023 to 7 February 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Эксперимент с аскезой от быстрого дофамина 📸
В какой-то момент я заметил: энергии и мотивации стало меньше. Стал анализировать день — и увидел простую вещь: в свободные моменты залипаю в рилсах.
Лет пять назад я читал книгу «Hooked. На крючке» — про то, как приложения подсаживают нас на лёгкий дофамин. Скука, пауза, микростресс → автоматическое движение рукой → инстаграм. Всё выстроено очень грамотно.
И да, я тоже…
Я не помню лета, когда бы я мог расслабиться на 100%.
Мне кажется, последние лет 5-7 летние периоды всегда сопровождались легкой тревогой/напрягом по поводу того, в это время люди в отпусках, на чилле. Никому ничего не надо. Ощутимый спад продаж. Помню, как злился на людей за то, что позволяют себе отложить все решения до осени и минимально работать.
А мне нужно было как-то окупать все расходы, команду, вложения в …
Как бесплатно получить сотни упоминаний от сми, пабликов и блогеров?
Необычный кейс этих выходных. Кто-то обнаружил баг с выбором валюты в интернет магазине reebok. При выборе чешской кроны цена оставалась такой же как и в евро.
Пример: то, что стоило 50 евро, можно было купить за 50 крон. Соотношение евро к кроне = 25 к 1.
Инфа пошла по всем чатам и пабликам. Люди начали массово заказывать себе десятки (кто-то и …
🙈в 32 года я начал пробовать то, что никогда бы не попробовал раньше
Последние пару лет для меня — это поиск себя, своей сферы как в профессиональном плане, так и в сфере творчества и хобби. Да, просто путешествий и спорта в качестве хобби стало недостаточно. Появилось ощущение, что я что-то упускаю.
Почувствовал, что нужна пересборка.
Я много лет занимался образовательными бизнесами (онлайн школы и консалтинг). …
Вот так прокрастинируешь-прокрастинируешь какую-то задачу. День. Два. Три.
А потом как садишься и за 15 минут закрываешь!) А столько мучений было🙈
Надеюсь, это не только у меня так😁
🇨🇿Запустили трафик для нового клиента — бухгалтера из Чехии.
За 3 неполных дня +200 человек. Будут ли клиенты среди этих людей? 100% да.
Идем к тому, чтобы сделать самый популярный блог по бухгалтерии в Чехии.
Помимо трафика я так же разобрал контент и дал конкретные рекомендации, что внедрить, чтобы было больше заявок и продаж.
P.s. приятно радует цена за подписчика. Думаю, что в инстаграме минимум х5 от этой цен
🙈Провел эфир в сообществе Михаила Гребенюка и мне разорвали личку
Не люблю водянистые эфиры, поэтому сам провожу эфиры так, чтобы концентрация мяса зашкаливала. Берешь и делаешь. Показываю фишки, лайфхаки, которые мы собрали за 7 лет продвижения своих проектов клиентов.
Внутри:
— способы как привлечь аудиторию
— как сделать это дешевле
— что влияет на продажи
— как правильно вести канал
— сколько нужно денег и как …
Крипта — как тренажер эмоций и терпения.
В апреле собрал себе портфель — после негативных инфоповодов рынок упал на 20%. Думаю, хорошее время закупиться. Он и до этого был далеко не на пике.
Ну думаю, падать некуда уже. А случилось как обычно. Второе, третье дно.
Интересно отслеживать свое состояние: в момент просадок в целом не хочется даже открывать портфель и смотреть, как он съежился на 40-50%.
В моменты рост…
😎В вашей записной книжке куча денег. Или нет?
У меня за время развития онлайн проектов скопилось сотни контактов: подрядчиков, партнеров, клиентов и просто знакомых.
Для тех, кто хочет проверить гипотезу нового продукта/оффера необязательно запускать платную рекламу. Достаточно пролистать ваши контакты.
При этом я не люблю впаривать что-то, вместо этого пытаюсь понять, могу ли я помочь, эффективен ли этот инструм…
🔥🔥😀В этом году практикую плотные погружения-спринты в какую-то тему.
За 3 месяца интенсивного изучения и ежедневного общения с наставником получаю 90% опыта как у специалиста, который варится в теме > 2 года.
Меня на это еще давно вдохновил Тим Феррис, который за условные 20 часов осваивал какой-то новый навык типа готовки, танцев или еще чего-то.
Что касается моих погружений: апрель-июнь глубоко погружался в крип…
Эта штука в заголовке обычно привлекает внимание, теперь давайте к делу👇
Я прикинул, что прошло ровно 7 лет, как я начал работать с телеграм не просто как площадкой для переписки с друзьями, а для добычи ресурсов)))
Все эти 7 лет в моих (наших) проектах был задействован телеграм для привлечения клиентов, инвесторов, сотрудников.
Я тут перепробовал все способы привлечения клиентов и не только на своих, но и клиентс…
❤7
Signed Артур Ганиев
Showing the 12 most recent of 18 posts we hold for @ganievartur. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Citation-graph rank
Citation-graph rank — 730,217 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 8 August 2026 — this
entry's latest reading, not the date you are reading this.
“Артур Ганиев про клиентов из Telegram” (@ganievartur), 757 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/ganievartur.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.
