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Channel

Под капотом B2B

@r4intranet

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Telegram's recommendations · Cite this entry

1,127subscribers

-44 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001715537113
TypeChannel
Username@r4intranet
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live10 November 2026
Measurements held20
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/r4intranet

Topic

Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 18 September 2026 and assigned it the closest of 31 fixed categories, at 54% 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 in near-verbatim form on 1 other registered channel. This entry also forms a group of 2 channels linked by matching posts. 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 (5 of the pairs behind the counts below)
Posted firstThenOverlapGap
@intervolga_it/889 Jul 2026, 12:52 UTC@r4intranet/636 · this entry9 Jul 2026, 12:52 UTC1.00under a minute
@intervolga_it/8915 Jul 2026, 06:17 UTC@r4intranet/637 · this entry15 Jul 2026, 06:18 UTC1.0072 seconds
@intervolga_it/9022 Jul 2026, 11:52 UTC@r4intranet/638 · this entry22 Jul 2026, 11:52 UTC1.00under a minute
@intervolga_it/9127 Jul 2026, 06:31 UTC@r4intranet/639 · this entry27 Jul 2026, 06:31 UTC1.00under a minute
@r4intranet/642 · this entry7 Aug 2026, 14:49 UTC@intervolga_it/947 Aug 2026, 14:49 UTC1.00under a minute
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@intervolga_it5 (5/5 hand-verifiable sample passed)1.00under a minute@intervolga_it (4–1)

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 4 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 19 comparable posts for this entry, running 20 March 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).

Of the group of 2 channels, the one whose matching posts we hold earliest is @intervolga_it. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_copy, last confirmed 11 November 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.

Channels linked by matching posts

This channel is in a group of 2 registered channels linked by matching posts. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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

1,1221,1711,146.57 August 2026 — 1,171 subscribers7 August 2026 — 1,171 subscribers17 August 2026 — 1,170 subscribers20 August 2026 — 1,168 subscribers24 August 2026 — 1,165 subscribers27 August 2026 — 1,160 subscribers1 September 2026 — 1,159 subscribers10 September 2026 — 1,158 subscribers15 September 2026 — 1,157 subscribers19 September 2026 — 1,148 subscribers28 September 2026 — 1,146 subscribers6 October 2026 — 1,140 subscribers12 October 2026 — 1,139 subscribers18 October 2026 — 1,136 subscribers22 October 2026 — 1,132 subscribers25 October 2026 — 1,129 subscribers28 October 2026 — 1,122 subscribers31 October 2026 — 1,125 subscribers6 November 2026 — 1,126 subscribers10 November 2026 — 1,127 subscribers1,1277 August 202610 November 2026
20 measurements spanning 94 days, net -44. 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 1,115–1,178 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Nov 2026, 03:181,127+1
6 Nov 2026, 15:141,126+1
31 Oct 2026, 06:281,125+3
28 Oct 2026, 14:501,122-7
25 Oct 2026, 14:501,129-3
22 Oct 2026, 07:461,132-4
18 Oct 2026, 17:161,136-3
12 Oct 2026, 21:581,139-1
6 Oct 2026, 05:571,140-6
28 Sept 2026, 19:551,146-2
19 Sept 2026, 00:381,148-9
15 Sept 2026, 00:211,157-1
10 Sept 2026, 23:201,158-1
1 Sept 2026, 16:041,159-1
27 Aug 2026, 00:081,160-5
24 Aug 2026, 05:351,165-3
20 Aug 2026, 16:521,168-2
17 Aug 2026, 16:491,170-1
7 Aug 2026, 23:321,171no change
7 Aug 2026, 23:101,171first reading

Engagement

19 posts held, back to 20 March 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 1 page of 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 19 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
15s
Average length
15s

Measured directly from 1 video 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

67 reactions across 19 posts, in 9 distinct kinds. The most used accounts for 31.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥2131.3%
❤2029.9%
👍2029.9%
👌11.49%
💯11.49%
🙏11.49%
🤓11.49%
🤔11.49%
🤝11.49%

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 19 of the 19 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 67 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 20 March 2026 to 7 August 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
1
across the posts below
Posts paid on
1
of 19 we hold a reading for · 5%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @r4intranet. 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 19 most recent posts we hold for this entry, published 20 March 2026 to 7 August 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.

Recent posts

7 Aug 2026, 14:49 UTC102 views6 reactionsread 7 August 2026
Video

А мы вчера сняли пилотный выпуск нашего подкаста! 🔥 И решили начать не с общих тем, а с того, что сегодня волнует многих руководителям производственных и торговых компаний: как сделать так, чтобы продажи росли не за счет героизма сотрудников, а благодаря правильно выстроенной системе. В первом выпуске говорим про Дистрибуцию 360 — решение, которое помогает компаниям переходить от разрозненных процессов, таблиц и бе…

🔥6

27 Jul 2026, 06:31 UTC274 views4 reactionsread 7 August 2026

До нашего вебинара по AI осталось всего 3 дня! Если вы уже зарегистрировались, значит, совсем скоро сможете узнать, как использовать искусственный интеллект не как модный инструмент, а как реальную возможность повысить эффективность бизнеса, маркетинга и продаж. На вебинаре разберем: • какие задачи ИИ уже сегодня решает лучше человека; • где компании теряют деньги, используя ИИ без стратегии; • как встроить ИИ в ра…

👍3❤1

22 Jul 2026, 11:52 UTC296 views2 reactionsread 7 August 2026
Photo

AI уже в вашей компании. Но приносит ли он деньги или остаётся просто игрушкой❓ Приглашаем на бесплатный вебинар «Маркетинг и продажи в эпоху AI». Разберём без иллюзий и хайпа: — как перестроить цепочку ценности, а не просто «прикрутить нейросеть»; — где AI реально даёт измеримый результат в маркетинге и продажах; — какие ошибки сливают бюджеты и время; — как выстроить системный подход, чтобы AI работал на рост, а …

🔥2

15 Jul 2026, 06:18 UTC348 views2 reactionsread 7 August 2026

Искусственный интеллект почему-то до сих пор воспринимают как «штуку для картинок». Ну максимум — тексты написать или мем сгенерить. Но если вы работаете с маркетингом, продажами или контентом — это сильно сужает картину. AI сегодня — это не про развлечения. Это про: — ускорение аналитики (вместо часов — минуты); — генерацию гипотез под воронки и офферы; — автоматизацию рутинных задач в маркетинге; — персонализацию…

❤2

9 Jul 2026, 12:52 UTC364 views2 reactionsread 7 August 2026
Photo

Ваши сотрудники уже используют ИИ. Но знаете ли вы, чем это может закончиться ❓ Скорее всего, в вашей компании уже есть сотрудники, которые пишут письма с помощью ChatGPT, анализируют документы через ИИ, генерируют презентации за несколько минут. И, возможно, вы об этом даже не знаете. На первый взгляд — отличная инициатива. Люди работают быстрее, экономят время, повышают продуктивность. Но есть и обратная сторона.…

❤1👍1

30 Jun 2026, 05:55 UTC343 views1 reactionsread 7 August 2026

Почему руководители продаж часто узнают о проблемах слишком поздно ❓ Менеджеры работают, сделки движутся, CRM заполнена данными. На первый взгляд, всё под контролем. Но потом внезапно выясняется, что план месяца под угрозой, часть клиентов потеряна, а воронка выглядит совсем не так, как казалось неделю назад. Именно с такой задачей столкнулась команда ИНТЕРВОЛГИ. Вместо долгого проектирования и многомесячной разраб…

🔥1

25 Jun 2026, 07:17 UTC329 views1 reactionsread 7 August 2026

Вы вложились в доработку коробочного Битрикс24, автоматизировали процессы, настроили бизнес-логику, связали задачи, календари и CRM. Но есть одна проблема: сотрудники, которые работают «в полях», часто не могут пользоваться этими доработками с телефона. И получается странная ситуация. В офисе всё работает идеально, а на выезде сотрудники вынуждены искать информацию в чатах, пользоваться сторонними приложениями или в…

👍1

18 May 2026, 13:38 UTC442 views4 reactionsread 7 August 2026

5 фраз, после которых клиент начинает сомневаться в подрядчике В B2B доверие не редко снижается через коммуникацию — особенно через формулировки, которые создают ощущение неопределённости или перекладывания ответственности. Вот 5 типичных примеров: «Это не входило в ТЗ» С точки зрения процесса — корректно. С точки зрения клиента — мнение, что подрядчик не заинтересован в результате, а работает строго в рамках форм…

❤2💯1🤓1

14 May 2026, 08:20 UTC416 views5 reactionsread 7 August 2026

Партнёрские продажи в IT: почему логотипы не равны лидам В IT-сегменте партнёрства часто воспринимаются как один из ключевых драйверов продаж. Логика простая: если компания работает с крупным вендором или имеет статус партнёра, значит, это должно приводить клиентов. На практике, как вы могли догадаться, это работает иначе. Партнёрство — это инфраструктура, а не канал продаж. Оно даёт доступ к продукту, обучению,…

🔥5

12 May 2026, 06:50 UTC330 views1 reactions1 Starread 7 August 2026

Что разрушает доверие между IT-командой и бизнес-заказчиком В IT-проектах редко бывает так, что доверие пропадает резко. Гораздо чаще оно «проседает» постепенно — через мелкие несостыковки, которые на старте кажутся незначительными. Проблема в том, что эти вещи накапливаются. И в какой-то момент клиент уже не чувствует контроля над ситуацией. Вот ключевые причины, почему это происходит: 1️⃣ Разный уровень пониман…

❤1

8 May 2026, 07:04 UTC310 views4 reactionsread 7 August 2026

Почему клиент остаётся с подрядчиком на годы В B2B долгосрочное сотрудничество почти никогда не держится на одном удачном проекте или выгодной цене. Обычно всё намного проще и прагматичнее: клиент остаётся там, где ему спокойно, понятно и предсказуемо. Где не нужно каждый месяц заново «разбираться, как всё устроено» и контролировать каждый шаг. Если упростить, решение остаться — это всегда совокупность маленьких фа…

❤4

6 May 2026, 13:17 UTC319 views9 reactionsread 7 August 2026

Как понять настоящую бизнес-боль клиента на первом звонке? В прошлом посте говорили о том, что коммерческое предложение часто проигрывает ещё до отправки. И обсудили с вами, что проблема начинается еще на первом звонке. Чаще всего клиент озвучивает размытое «нужно больше лидов», «хотим обновить сайт», «нужна CRM», а не реальную боль. И вот главная задача на звонке — аккуратно «распаковать» её до уровня, где появля…

❤5👍3👌1

Showing the 12 most recent of 19 posts we hold for @r4intranet. 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.

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.

Просто быть счастливыми
@justbehappy55 · 19,779
Telegram ranks this channel #21 of 69 here — alongside 68 others — read 4 October 2026
Битрикс24 для бизнеса
@bitrix24_ru · 29,024
Telegram ranks this channel #22 of 97 here — alongside 96 others — read 8 September 2026
Готовим Дома. Вкусно и Полезно
@vkusn_polezno · 26,938
Telegram ranks this channel #61 of 74 here — alongside 73 others — read 11 September 2026

This channel appears in 3 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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“Под капотом B2B” (@r4intranet), 1,127 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/r4intranet.

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.