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Channel

Достигай с ИИ и Артуром

@dostigatelrf

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Telegram's recommendations · Cite this entry

13,103subscribers

-321 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001150932931
TypeChannel
Username@dostigatelrf
DescriptionБольшой блог про ИИ-сотрудников 👉 https://aibotmanager.ru Забирай 22+ статей про заработок на цифровых сотрудниках🤖
Created15 July 2019 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded7 August 2026
Last confirmed live4 November 2026
Measurements held56
Confirmed unchanged1 time, most recently 4 November 2026
On Telegramt.me/dostigatelrf

Topic

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 10 August 2026 and assigned it the closest of 31 fixed categories, at 47% 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 the other topics.

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 3 other registered channels. 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)
Posted firstThenOverlapGap
@omegabiznes/141322 Jul 2026, 09:01 UTC@dostigatelrf/3423 · this entry22 Jul 2026, 09:04 UTC1.003 minutes
@omegabiznes/141822 Jul 2026, 17:01 UTC@dostigatelrf/3428 · this entry22 Jul 2026, 17:06 UTC1.004 minutes
@dostigatelrf/3429 · this entry23 Jul 2026, 07:00 UTC@omegabiznes/141923 Jul 2026, 07:02 UTC1.002 minutes
@dostigatelrf/3431 · this entry24 Jul 2026, 06:00 UTC@omegabiznes/142124 Jul 2026, 06:02 UTC1.0072 seconds
@dostigatelrf/3433 · this entry25 Jul 2026, 07:01 UTC@omegabiznes/142325 Jul 2026, 07:03 UTC1.002 minutes
@dostigatelrf/3435 · this entry26 Jul 2026, 05:02 UTC@omegabiznes/142526 Jul 2026, 05:04 UTC1.002 minutes
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@omegabiznes19 (8/8 hand-verifiable sample passed)1.002 minutesthis entry (12–7)
@peregovornaya_dostigatel18 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (10–8)
@biznes1community16 (8/8 hand-verifiable sample passed)1.0072 secondsthis entry (10–6)

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 21 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 20 comparable posts for this entry, running 22 July 2026 to 7 August 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 4, the earliest publisher we hold is @omegabiznes. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_mutual, 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 3 other registered channels, 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.

Growth

13,10313,42413,263.57 August 2026 — 13,424 subscribers7 August 2026 — 13,424 subscribers8 August 2026 — 13,423 subscribers10 August 2026 — 13,419 subscribers12 August 2026 — 13,412 subscribers13 August 2026 — 13,410 subscribers14 August 2026 — 13,403 subscribers15 August 2026 — 13,395 subscribers16 August 2026 — 13,388 subscribers18 August 2026 — 13,385 subscribers18 August 2026 — 13,376 subscribers19 August 2026 — 13,381 subscribers20 August 2026 — 13,382 subscribers23 August 2026 — 13,380 subscribers24 August 2026 — 13,376 subscribers26 August 2026 — 13,367 subscribers27 August 2026 — 13,363 subscribers28 August 2026 — 13,360 subscribers28 August 2026 — 13,359 subscribers30 August 2026 — 13,354 subscribers30 August 2026 — 13,352 subscribers31 August 2026 — 13,348 subscribers1 September 2026 — 13,346 subscribers2 September 2026 — 13,344 subscribers4 September 2026 — 13,340 subscribers7 September 2026 — 13,330 subscribers10 September 2026 — 13,313 subscribers12 September 2026 — 13,302 subscribers14 September 2026 — 13,293 subscribers15 September 2026 — 13,294 subscribers17 September 2026 — 13,285 subscribers28 September 2026 — 13,258 subscribers5 October 2026 — 13,236 subscribers9 October 2026 — 13,224 subscribers13 October 2026 — 13,201 subscribers14 October 2026 — 13,197 subscribers15 October 2026 — 13,196 subscribers17 October 2026 — 13,192 subscribers17 October 2026 — 13,184 subscribers18 October 2026 — 13,181 subscribers19 October 2026 — 13,174 subscribers20 October 2026 — 13,172 subscribers22 October 2026 — 13,163 subscribers23 October 2026 — 13,159 subscribers24 October 2026 — 13,156 subscribers25 October 2026 — 13,148 subscribers26 October 2026 — 13,143 subscribers27 October 2026 — 13,140 subscribers28 October 2026 — 13,136 subscribers29 October 2026 — 13,132 subscribers30 October 2026 — 13,131 subscribers31 October 2026 — 13,128 subscribers1 November 2026 — 13,123 subscribers2 November 2026 — 13,121 subscribers3 November 2026 — 13,117 subscribers4 November 2026 — 13,103 subscribers7 August 20264 November 2026
56 measurements spanning 89 days, net -321. 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 13,055–13,472 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 56
Measured (UTC)SubscribersChange
4 Nov 2026, 12:2913,103-14
3 Nov 2026, 11:5713,117-4
2 Nov 2026, 08:5913,121-2
1 Nov 2026, 10:1913,123-5
31 Oct 2026, 11:4713,128-3
30 Oct 2026, 13:2713,131-1
29 Oct 2026, 14:5613,132-4
28 Oct 2026, 15:2013,136-4
27 Oct 2026, 14:0913,140-3
26 Oct 2026, 11:0513,143-5
25 Oct 2026, 09:1913,148-8
24 Oct 2026, 07:1713,156-3
23 Oct 2026, 06:1713,159-4
22 Oct 2026, 03:4113,163-9
20 Oct 2026, 21:3613,172-2
19 Oct 2026, 23:1713,174-7
18 Oct 2026, 20:1913,181-3
17 Oct 2026, 22:3113,184-8
17 Oct 2026, 01:3813,192-4
15 Oct 2026, 22:1013,196first reading

Engagement

53 posts held, back to 22 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 56 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.721%
avg views ÷ 13,103 subscribers
Avg views / post
94.5
19 posts measured
Reaction rate
3.45%
reactions ÷ views · ER floor
Posts in window
19
of 53 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 10 of 19 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 4 November 2026
Posts held53 (22 July 2026 – 4 November 2026)
Views total1,796
Reactions total33
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken4 Nov 2026, 17:58 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

What this channel posts

Photos
318
Videos
148
Links
301

Lifetime counters from Telegram’s own channel header, read 4 November 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.

Video runtime
3h 31m
Average length
15m 04s

Measured directly from 14 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.

Reaction mix

118 reactions across 26 posts, in 6 distinct kinds. The most used accounts for 50.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥5950.0%
⚡2924.6%
💯1512.7%
❤97.63%
🤝43.39%
🕊21.69%

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 26 of the 53 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 118 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 53 most recent posts we hold, published 22 July 2026 to 4 November 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.

Recent posts

Telegram’s own ‘edited’ marker: 2 of 19 posts held from the last 30 days (10.5%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

4 Nov 2026, 16:21 UTC29 views4 reactionsread 4 November 2026
Photo

🤩 3 проекта с ИИ. Показываем, за что бизнесу есть смысл платить Когда мы говорим «внедряем ИИ», за этим стоят довольно приземлённые задачи. Покупатель спрашивает стоимость дома и доставку. Менеджеру нужно разобраться в переписке и продолжить продажу. Руководитель хочет открыть CRM и понять, что происходит с клиентами. Вот с этим мы и работаем 👇 В WoodArt занимаемся ИИ-менеджером, CRM и SEO. В Северстрое связали п…

⚡2💯1🔥1

4 Nov 2026, 09:03 UTC54 viewsread 4 November 2026
Video

Сайт есть. А как клиент найдёт компанию? 🔗 Между предложением и заявкой есть цепочка: продукт - источник трафика - обращение - CRM. Наличие сайта ещё не объясняет весь этот путь. Откуда приходят люди? Как оставляют заявки? Какие данные команда отслеживает? Связь со мной @artur_mulyukov Отзывы 👉 @airedlegion

3 Nov 2026, 15:02 UTC85 views2 reactionsread 4 November 2026
Photo

Раньше 6-10 человек. Сегодня двое. Задач закрываем больше Я руководил маркетингом и знаю цену фразе «давайте запустим» За ней стояли люди. Копирайтер пишет, дизайнер оформляет, SMM занимается площадками. Технический специалист собирает связки, ассистент помогает с организацией. Отдельно команда по трафику Каждому поставь задачу. Передай материалы. Проверь, что получилось. Состыкуй результат с работой следующего че…

🔥2

3 Nov 2026, 09:02 UTC87 viewsread 4 November 2026
Photo

⌛️ Поддержка Яндекс Метрики сообщает: сервис временно недоступен. Привычный отчёт не открыть. Остаются поисковая статистика, доступность страниц, обращения и их источники. Связь со мной @artur_mulyukov Отзывы 👉 @airedlegion

3 Nov 2026, 07:00 UTC80 viewsread 4 November 2026
File

Сколько стоит твоя рутина и какие задачи можно попробовать делать с ИИ Калькулятор часов и трудозатрат по твоей ставке. Посчитай ручную работу, проверь задачи по 3 признакам и выбери одну для пробы • Шаблон таблицы и формулы для частоты, часов и трудозатрат за месяц • Полный учебный расчёт и запрос для своей надиктовки • Три признака, по которым выбираешь задачу для пробы с ИИ • Отдельный запрос для первой пробы и …

2 Nov 2026, 09:04 UTC89 viewsread 4 November 2026
Video

Руководитель познакомился с человеком. Дальше общение продолжает менеджер. 📇 В таком пути уже есть личный контакт и переданная сотруднику история. Когда обсуждаем ИИ-помощника, важно сначала понять, какую часть этой работы ему хотят поручить. В этом сценарии рассматривают подготовку клиента к презентации. Помощник мог бы отвечать на вопросы до встречи и помогать собрать нужную информацию для менеджера. Распределени…

2 Nov 2026, 05:37 UTC101 viewsread 4 November 2026

Anthropic выходит на биржу - создатели Claude официально подали заявку на IPO Акции компании будут торговаться на Nasdaq под тикером ANT, а размещение планируется провести уже в ноябре IPO может стать одним из крупнейших в истории: ранее Anthropic оценивали почти в $2 трлн выше SpaceX

1 Nov 2026, 15:04 UTC118 views4 reactionsread 4 November 2026
Photo

Бесплатных курсов на годы вперёд. А до первого клиента ты так и не дошёл Знаний сейчас навалом. YouTube, бесплатные курсы, ChatGPT. Получить ещё одну порцию информации давно не проблема Проблема начинается, когда надо выбрать, что с ней делать В разговорах с людьми я слышу одну и ту же историю. Человек уже учился, пробовал сервисы, умеет ими пользоваться. А куда это приложить, не разобрался. В голове куча варианто…

🔥3❤1

1 Nov 2026, 09:04 UTC104 viewsread 4 November 2026
Photo

🆕 Тестируем GPT-6.1 Sol через API в WoodArt. Для строительного проекта важны точные ответы про изделие и условия заказа: размеры, комплектация, сведения о продукции. По этим задачам и оцениваем модель. Пока это тест, решение о дальнейшем использовании ещё впереди. Связь со мной @artur_mulyukov Отзывы 👉 @airedlegion

1 Nov 2026, 07:00 UTC104 viewsread 4 November 2026
File

25 запросов к ИИ для писем, отчётов, встреч и таблиц на работе Готовые запросы с полями под твои данные, учебный разбор письма и проверка ответа. Плюс подготовка к трудному разговору с руководителем • 25 полных запросов для писем, отчётов, встреч, таблиц и трудных разговоров • Понятные поля, куда подставить свои обезличенные данные • Учебное письмо поставщику: исходные заметки, запрос и образец ответа • Формула сво…

31 Oct 2026, 09:05 UTC110 views1 reactionsread 4 November 2026
Video

ИИ-МЕНЕДЖЕР В АВИТО: РАЗБИРАЕМ ОДНУ ПЕРЕПИСКУ 🤖 В демонстрации строительного проекта помощник работает с запросом клиента. У него есть роль, инструкции и база знаний компании. Именно эта подготовка задаёт, как вести разговор и на какие сведения опираться. Мне интересно смотреть такую демонстрацию по действиям. Что человек спросил? Как помощник понял запрос? Какую информацию предложил? К какому продолжению подвёл со…

❤1

30 Oct 2026, 15:02 UTC102 viewsread 4 November 2026
Photo

Актуальность требует практики. Я проверил это на собственных курсах Мы записывали уроки: объясняли инструменты, показывали настройки, собирали последовательность действий. Потом выходила новая модель, менялся сервис, появлялся другой способ решить задачу. Часть инструкций устаревала Ты вложился в запись. Человек вложился в обучение. А ему уже приходится разбираться, что теперь работает иначе Меня такой подход пере…

Showing the 12 most recent of 53 posts we hold for @dostigatelrf. 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.

Posts recorded as deleted after publishing

We recorded 2 posts on @dostigatelrf as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
18 August 2026
Most recent seen missing
24 August 2026
Median time before seen missing
3 days
Seen missing in the last 30 days
0

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

Деньги Есть! 🏆 dengi4444
@dengi4444 · 23,611
Telegram ranks this channel #15 of 74 here — alongside 73 others — read 17 September 2026
Авито для бизнеса
@avito_b2b · 159,316
Telegram ranks this channel #39 of 82 here — alongside 81 others — read 20 August 2026

This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 4 November 2026 — this entry's latest reading, not the date you are reading this.

“Достигай с ИИ и Артуром” (@dostigatelrf), 13,103 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/dostigatelrf.

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.