https://t.me/boost/hbrrussia Собираем бусты на доброе дело 👌 Всех с днем космонавтики! 🚀
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Channel
@hbrrussia
On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Polls · Citations · Cite this entry
523subscribers
+0 since we began measuring on 5 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001592069761 |
|---|---|
| Type | Channel |
| Username | @hbrrussia |
| Description | Читаем и обсуждаем всё самое интересное о бизнесе, менеджменте, карьере и саморазвитии |
| Created | Between 1 August 2021 and 28 February 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/hbrrussia |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Aug 2026, 18:32 | 523 | no change |
| 5 Aug 2026, 23:41 | 523 | first reading |
20 posts held, back to 22 March 2024 — 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 20 posts for this entry, the most recent from 12 April 2025. An engagement rate over an empty window would be a number about nothing.
Lifetime counters from Telegram’s own channel header, read 6 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.
129 reactions across 17 posts, in 9 distinct kinds. The most used accounts for 66.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 86 | 66.7% | |
| 🔥 | 24 | 18.6% | |
| 👍 | 7 | 5.43% | |
| 👌 | 3 | 2.33% | |
| 👏 | 3 | 2.33% | |
| 🕊 | 3 | 2.33% | |
| ⚡ | 1 | 0.775% | |
| 😢 | 1 | 0.775% | |
| 🙏 | 1 | 0.775% |
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 20 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 129reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 22 March 2024 to 12 April 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @hbrrussia. 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 20 most recent posts we hold for this entry, published 22 March 2024 to 12 April 2025. 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.
https://t.me/boost/hbrrussia Собираем бусты на доброе дело 👌 Всех с днем космонавтики! 🚀
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Если даже в воскресенье вечером вы задумываетесь об искусственном интеллекте и стратегии, то этот текст для вас (остальные могут отложить его до понедельника 😉, но и на ночь глядя это будет прочитать интересно). Авторы бестселлера Blue Ocean Strategy Чан Ким и Рене Моборн на примере нейросети DeepSeek объяснили, как изобретательность помогает бизнесу выживать и одерживать победу https://hbr.org/2025/04/what-deepseek…
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Весна наступила, а мы к вам вернулись! И не с пустыми руками, а с удивительным большим материалом из свежего номера Harvard Business Review о… Тейлор Свифт. Его автор Кевин Эверс два года писал книгу о том, как эта суперзвезда из мира музыки уже третье десятилетие удерживается на вершине популярности. По мнению Эверса, многое из стратегии Свифт могут позаимствовать и те, кто занимается не музыкой, а бизнесом. Утверж…
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Photo, posted without a caption
Новогодние праздники закончились, а подарки нет. Подарок №1. Десять самых популярных статей Harvard Business Review за 2024 год https://hbr.org/2024/12/the-10-most-popular-hbr-articles-of-2024 Подарок №2. Редакторы американского HBR составили список самых полезных советов, которые помогут менеджерам улучшить свои рабочие навыки https://hbr.org/2024/12/our-favorite-management-tips-of-2024 И наконец подарок №3 — сам…
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☀️Лето вроде бы давно закончилось, но хочется его вернуть хотя бы на несколько часов. Если вы с нами, то попробуем это сделать, полистав два летних номера Harvard Business Review. ☀️ Что помогает таким звездам, как Джордж Клуни, Мария Шарапова и Ким Кардашьян, зарабатывать миллионы долларов, выпуская самые разные товары под собственными брендами? В этом разобрались исследователи из Гарвардской школы бизнеса Эйлет Из…
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Если долго ничего не писать, то старый пост может вновь стать актуальным 🙃 Сооснователю VK и Telegram Павлу Дурову исполнилось 40 лет. Если не читали два наших предыдущих поста, то сегодня есть еще один повод для этого. Обещаем вернуться с летним (да-да, летним) сюрпризом от HBR на этих выходных. До скорой встречи.🤚
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Объясняем для тех, кто не понял, о каком Павле речь. Когда-то давно, когда Harvard Business Review еще выходил в России, журнал выпустил небольшой (по меркам HBR) материал с самыми интересными высказываниями основателя ВКонтакте и Telegram. Многие из них остаются актуальными и сейчас. Собственное мнение есть от силы у 10% людей. Остальные просто повторяют то, что где-то прочитали... Помните те случаи, когда ваше мн…
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Считается, что порядок – это всегда хорошо, а хаос – всегда плохо. Это одно из тех заблуждений, благодаря которым добрую половину XX века человечество страдало от репрессий, застоя и войн. На самом деле, в основе любого творческого поиска, открытия, инновации находится беспорядок. Новое может рождаться только из хаоса – из непредусмотренного, неожиданного несоответствия привычному. Разумеется, в условиях абсолютного …
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Sticker, posted without a caption
А Павел выйдет?
Shares as published. No per-option vote count is published by Telegram, so none is shown.
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Лето в Гарварде 💛
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Showing the 12 most recent of 20 posts we hold for @hbrrussia. 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.
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
А Павел выйдет?
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none.The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100.Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 20 most recent posts we hold, published 22 March 2024 to 12 April 2025. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Citation-graph rank — 1,459,839 of 1,481,217entries 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.
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.
Named by 1 registered channel — 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.
Named by
Channels on the register whose posts name this channel's handle.
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.
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 6 August 2026 — this entry's latest reading, not the date you are reading this.
“Клуб читателей журнала Harvard Business Review (и не только)” (@hbrrussia), 523 subscribers as measured 6 August 2026. Telegram Register, tgregister.com/channel/hbrrussia.
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.