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Channel

Двигатель торговли

@dvigateltorgovly

On this record: Growth · Engagement · Reactions · Stars · Posts · Citations · Cite this entry

994subscribers

+5 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002452081315
TypeChannel
Username@dvigateltorgovly
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/dvigateltorgovly

Growth

989994991.56 August 2026 — 989 subscribers6 August 2026 — 989 subscribers12 August 2026 — 994 subscribers6 August 202612 August 2026
3 measurements spanning 7 days, net +5. 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 988–995 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 22:13994+5
6 Aug 2026, 13:19989no change
6 Aug 2026, 05:22989first reading

Engagement

13 posts held, back to 25 July 2026the 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.

ERR · 30 days
30.4%
avg views ÷ 994 subscribers
Avg views / post
302
13 posts measured
Reaction rate
5.58%
reactions ÷ views · ER floor
Posts in window
13
of 13 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 5 August 2026
Posts held13 (25 July 20265 August 2026)
Views total3,927
Reactions total219
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 13:19 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.

Reaction mix

219 reactions across 13 posts, in 9 distinct kinds. The most used accounts for 47.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
10447.5%
🔥4319.6%
👍2411.0%
❤‍🔥209.13%
💯177.76%
💔52.28%
💘31.37%
👏20.913%
😁10.457%

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 13 of the 13 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 219reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 13 most recent posts we hold, published 25 July 2026 to 5 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 13 we hold a reading for · 8%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @dvigateltorgovly. 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 13 most recent posts we hold for this entry, published 25 July 2026 to 5 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

5 Aug 2026, 05:06 UTC147 views7 reactionsread 6 August 2026
Photo

Продолжаю тему ошибок и экспериментов - в рубрике #цитатанедели- на очереди Джефф Безос. Сейчас читаю «Большую четверку» Скотта Гэллоуэя, где через историю Amazon, Apple, Meta* (*запрещена в РФ) и Google разбирают, как принципы конкретных людей становятся ДНК всей компании. И у Безоса там есть мысль про риск, которая объясняет, как книжный онлайн-магазин превратился в компанию, определяющую правила игры сразу и в

3💯2❤‍🔥1🔥1

4 Aug 2026, 05:01 UTC411 views26 reactions1 Starread 6 August 2026
Photo

Закон 52-й попытки: почему в бизнесе побеждают гипотезы, а не идеальные расчеты Сегодня у Жени Казаковой увидела мысль, которая очень откликается: прорыв - это всегда функция от количества итераций, а не разовое везение. И подумала: как же часто мы поддаемся иллюзии, что громкий запуск или успешный продукт - это результат гениального озарения? Но если заглянуть в исследования моего любимого организационного психолог

13🔥7💯4👍2

2 Aug 2026, 13:00 UTC221 views15 reactionsread 6 August 2026

Быть не лидером, а собой #чтопосмотреть в вечер воскресенья. Истинное интеллектуальное удовольствие получила от беседы Андрея Чернякова (основатель программы развития топ-менеджеров Evolution.new) и Александра Асмолова (психолог, антрополог, педагог) - подкаст «Почему человек должен постоянно искать себя». Больше всего откликнулась мысль о содействии - том самом драйвере, который наравне с конфликтом двигает эволюци

9👍2💔2❤‍🔥1🔥1

31 Jul 2026, 15:23 UTC222 views13 reactionsread 6 August 2026

Красиво завершаем рабочую неделю ❤️ Всегда радуюсь и горжусь тем, какие крутые продукты создает команда Азбуки. Вот и очередной повод: торт в виде знаменитой арены Лужников, к 70-летию стадиона. Вкусных и красивых вам выходных💚

7💔3🔥3

31 Jul 2026, 15:23 UTC235 views14 reactionsread 6 August 2026
Forwarded from @azbukavkusaVideo

Помните момент, когда на церемонии закрытия «Олимпиады-80» в небо на воздушных шарах взлетел олимпийский мишка? 🥹 Это произошло в «Лужниках». За семьдесят лет олимпийский комплекс принимал чемпионат мира, спартакиады, Олимпиаду, легендарные концерты и миллионы гостей. Наш шеф-кондитер Хидеки Морикава вдохновился историей «Лужников» и в честь юбилея создал этот лимитированный торт. В его основе — сочетание карамельно

7💘3💯2🔥2

30 Jul 2026, 04:48 UTC276 views16 reactionsread 6 August 2026

Куда идут деньги, туда идет и рынок. Есть классная площадка для наблюдения за тем, что зарождается прямо сейчас - Y Combinator, самый известный в мире стартап-акселератор (через него прошли Airbnb, Twitch, Dropbox). Раз в полгода они публикуют список направлений, в которые они готовы инвестировать - RFS (Request for Startups). Из свежего осеннего списка 2026 выбрала три пункта, которые ближе всего к нам с вами. 🔹 По

👍9🔥5👏2

29 Jul 2026, 05:26 UTC258 views26 reactionsread 6 August 2026
Photo

Накопился какой-то бесконечный информационно - смысловой долг перед каналом :) Идеи, мысли и интересные наблюдения появляются постоянно, а вот времени на полноценные разборы хватает не всегда. В итоге куча всего классного так и остается в черновиках. Чтобы не копить их годами, запускаю рубрику #цитатанедели. В ней буду выкладывать емкие мысли про управление, лидерство и людей, которые откликнулись лично мне. И открыв

15🔥7💯4

28 Jul 2026, 06:16 UTC754 views15 reactionsread 6 August 2026
Photo

Отчет McKinsey State of the Consumer 2026: что определяет покупателя в этом году McKinsey выпустила ежегодное исследование о состоянии потребителя. В основе - опрос 4 863 человек в США, Великобритании, Германии, Франции и Бразилии, дополнительная волна на 20 тысяч респондентов в 15 странах и анализ 2,6 млн цитирований брендов в нейросетях. Ключевое наблюдение: на покупателя одновременно давят две силы - скорость тех

7👍4💯2❤‍🔥1🔥1

26 Jul 2026, 10:33 UTC246 views3 reactionsread 6 August 2026

Очень хотела, но не смогла попасть на встречу CMO club посвященную Каннским львам. Спасибо коллегам, что выложили саммари дискуссии об изменениях в индустрии маркетинга и рекламы ❤️

❤‍🔥3

26 Jul 2026, 10:33 UTC277 views10 reactionsread 6 August 2026
Forwarded from @cmoclubPhoto

Хорошая идея — это уже не только про креатив Что сегодня действительно работает и за что награждают бренды — обсудили на мероприятии CMO Club Russia Cannes & Rosé Собрали выводы, которые, кажется, лучше всего описывают, как меняется индустрия: ▫Сильные бренды побеждают не одной кампанией, а последовательностью. Доверие строится годами — через единый стиль и качественную коммуникацию. ▫Креатив должен приносить резу

👍6❤‍🔥21🔥1

26 Jul 2026, 05:08 UTC280 views22 reactionsread 6 August 2026
Forwarded from @azbukavkusaVideo

🖼🥗🖼🥗🖼🥗🖼🥗🖼🥗 За каждой улыбкой в Азбуке вкуса стоит человек, который не только встречает вас в магазине, но и занимается любимым делом вне работы. Кто-то печёт десерты для близких, кто-то создаёт цветочные композиции, кто-то выходит на пробежку ранним утром, а кто-то танцует бачату. Именно из таких людей и складывается та самая азбучная атмосфера, за которой хочется возвращаться снова и снова. В День работника торгов

14❤‍🔥6🔥2

26 Jul 2026, 05:07 UTC290 views38 reactionsread 6 August 2026
Photo

Вчера был День работника торговли. 29 лет назад в Москве открылся первый магазин Азбуки вкуса. С тех пор многое изменилось: логистику считают алгоритмы, на складах работают роботы, решения все чаще подсказывает ИИ. Но то, что делает Азбуку Азбукой - вкус, который создают шефы, кураторский выбор товаров, атмосфера в магазинах - по-прежнему создают конкретные люди 💚, а не технологии. Спасибо всем, кто это делает - и те

20🔥11❤‍🔥6👍1

Showing the 12 most recent of 13 posts we hold for @dvigateltorgovly. 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 — 220,004 of 1,336,469entries 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

Republishes

Channels on the register whose posts this channel has forwarded.

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.

Mentions

Named by 4 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

Names

Channels on the register whose handles appear in this channel's posts.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“Двигатель торговли” (@dvigateltorgovly), 994 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/dvigateltorgovly.

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.