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Channel

Beyond Taylor

@beyond_taylor

On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Advertising · Posts · Citations · Telegram's recommendations · Cite this entry

10,091subscribers

-84 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001520946158
TypeChannel
Username@beyond_taylor
CreatedBetween 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live2 September 2026
Measurements held22
Confirmed unchanged1 time, most recently 2 September 2026
On Telegramt.me/beyond_taylor

Growth

10,09110,17510,1336 August 2026 — 10,175 subscribers7 August 2026 — 10,170 subscribers9 August 2026 — 10,161 subscribers9 August 2026 — 10,162 subscribers10 August 2026 — 10,154 subscribers11 August 2026 — 10,144 subscribers12 August 2026 — 10,142 subscribers13 August 2026 — 10,144 subscribers15 August 2026 — 10,135 subscribers16 August 2026 — 10,132 subscribers17 August 2026 — 10,135 subscribers18 August 2026 — 10,133 subscribers19 August 2026 — 10,125 subscribers21 August 2026 — 10,123 subscribers22 August 2026 — 10,118 subscribers26 August 2026 — 10,116 subscribers27 August 2026 — 10,110 subscribers28 August 2026 — 10,112 subscribers30 August 2026 — 10,109 subscribers31 August 2026 — 10,105 subscribers1 September 2026 — 10,098 subscribers2 September 2026 — 10,091 subscribers6 August 20262 September 2026
22 measurements spanning 26 days, net -84. 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 10,078–10,188 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 22
Measured (UTC)SubscribersChange
2 Sept 2026, 01:4410,091-7
1 Sept 2026, 02:1510,098-7
31 Aug 2026, 03:1310,105-4
30 Aug 2026, 01:5410,109-3
28 Aug 2026, 02:1310,112+2
27 Aug 2026, 05:4710,110-6
26 Aug 2026, 02:1410,116-2
22 Aug 2026, 09:4510,118-5
21 Aug 2026, 01:1810,123-2
19 Aug 2026, 22:0710,125-8
18 Aug 2026, 21:0610,133-2
17 Aug 2026, 20:3710,135+3
16 Aug 2026, 19:4910,132-3
15 Aug 2026, 11:0710,135-9
13 Aug 2026, 23:2710,144+2
12 Aug 2026, 15:1310,142-2
11 Aug 2026, 17:0710,144-10
10 Aug 2026, 18:2810,154-8
9 Aug 2026, 21:5210,162+1
9 Aug 2026, 00:5310,161first reading

Engagement

49 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 38 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
6.17%
avg views ÷ 10,091 subscribers
Avg views / post
622
36 posts measured
Reaction rate
2.52%
reactions ÷ views · ER floor
Posts in window
36
of 49 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 28 August 2026
Posts held49 (25 July 202628 August 2026)
Views total22,399
Reactions total564
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken29 Aug 2026, 03:54 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

Video runtime
17m 14s
Average length
1m 26s

Measured directly from 12 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

774 reactions across 49 posts, in 13 distinct kinds. The most used accounts for 32.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
25332.7%
👍14118.2%
🔥12616.3%
custom 54565455777748901819912.8%
custom 54497273816170074798010.3%
💯232.97%
❤‍🔥202.58%
👨‍💻81.03%
🙏70.904%
50.646%
40.517%
👀40.517%
🤝40.517%

Custom emoji. 2 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.

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 49 of the 49 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 774 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 49 most recent posts we hold, published 25 July 2026 to 28 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
10
across the posts below
Posts paid on
1
of 49 we hold a reading for · 2%
Most on one post
10
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @beyond_taylor. 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 49 most recent posts we hold for this entry, published 25 July 2026 to 28 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.

Advertising

Ad load
2.04%
1 of 49 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
555
over 1 measured post
Median views · rest
673
over 48 measured posts

An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.

This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.

Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2VtzqxUvJd1118 August 202618 August 2026

A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.

Measured over the 49 most recent posts we hold, published 25 July 2026 to 28 August 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.

Recent posts

28 Aug 2026, 06:45 UTC358 views12 reactionsread 29 August 2026

Почему так нужна и важна целостность? Делимся фрагментом из книги Валеры Разгуляева «Бирюзовое управление на практике»: В рамках бюрократической и корпоративной систем управления нас учили, что эмоции — это плохо. Что на работе надо всегда выполнять свои служебные обязанности, оставляя всё, что мешает этому, за порогом. Что нет такой профессии — хороший человек. Форма, норма, режим были нужны и сильно помогали как

🔥75

27 Aug 2026, 15:00 UTC504 views6 reactionsread 29 August 2026
Video

⬆️Стратегическая канва на примере ВкусВилла Чтобы создать новый рынок, иногда нужно не добавить что-то новое, а от чего-то отказаться. Стратегическая канва помогает увидеть, какие ценности стоит убрать или снизить, а какие — вывести на максимум. Тезисно о принципе рассказывает Николай Попович, сооснователь Beyond Taylor. [Запись вебинара с разбором инструмента стратканва] [Построить стратканву для своей компании н

4👍1custom 54565455777748901811

27 Aug 2026, 09:18 UTC626 views18 reactionsread 29 August 2026

⬆️ Сооснователь Beyond Taylor и лидер совета управляющих ВкусВилл Николай Попович сегодня на конференции ТОК от Точка Банк О чём поговорили: Что делать, когда ваше преимущество перестаёт быть уникальным? Николай рассказал, как ВкусВилл трижды менял то, что работало, чтобы найти новую ценность для клиента. Несколько ключевых тезисов: ➡️ Сначала мы искали ответ не там Первым порывом было делать то же самое, но лучше

12👍6

27 Aug 2026, 09:17 UTC595 views18 reactionsread 29 August 2026
Forwarded from @tok_conferenceVideo message

Video message, posted without a caption

18

26 Aug 2026, 16:00 UTC622 views7 reactionsread 29 August 2026
Video

«Когда грустно и досадно от обратной связи — это наши точки роста» Как систематический сбор и анализ обратной связи от клиента меняет взгляд на проекты — делится Роман Васильев, основатель компании Vasiliev Groove, которая объединяет два направления: барабанные шоу и школу музыки. [Смотреть подкаст]

custom 54565455777748901814👍21

25 Aug 2026, 15:05 UTC673 views17 reactionsread 29 August 2026

Когда я вижу компанию, которая гордится количеством своих дашбордов, я спрашиваю не «сколько у вас метрик», а «что происходит, когда одна из них показывает плохой результат». Сооснователь Beyond Taylor Николай Попович рассказывает, почему дашборды не делают управление умнее. Я регулярно вижу одну и ту же картину в компаниях, которые приходят к нам за консультацией. У них есть дашборды, CRM, ERP, регулярные отчёты,

🔥8custom 545654557777489018172

25 Aug 2026, 07:04 UTC588 views20 reactionsread 29 August 2026
Photo

Почему при росте команды теряют общий контекст и как выстроить управление, при котором ключевые цели остаются в фокусе? ➡️ Обсудим на вебинаре 3 сентября Программа встречи: 🔺 Как команды теряют общий контекст при росте компании и почему это неизбежно 🔺 Почему локальная эффективность отделов не складывается в общий результат бизнеса 🔺 Как функциональные границы создают конфликт приоритетов и что с этим делать 🔺

8👍6custom 54497273816170074796

24 Aug 2026, 15:04 UTC574 views19 reactionsread 29 August 2026
Photo

Скорость реакции на изменения рынка — не вопрос дисциплины или мотивации. Это вопрос устройства команд. Разбираем отличия автономных команд от неавтономных с сооснователем Beyond Taylor Николаем Поповичем. Автономная команда — это группа сотрудников, которая обладает всеми необходимыми полномочиями и ресурсами для достижения результата без постоянного контроля сверху. Каждый участник такой команды принимает решени

🔥8👍74

22 Aug 2026, 06:40 UTC687 views8 reactionsread 29 August 2026
Video

Смотрим на выходных: запись эфира «Презентация результатов исследования Beyond Survey» Программа встречи: ➡️ Где теряется управляемость — разбор типичных точек слома и как соотнести их со своей компанией ➡️ Что работает на масштабе, а что нет — честный разбор управленческих практик ➡️ Что менять в системе управления — конкретные ориентиры, чтобы рост не упирался в качество [Смотреть запись вебинара] Ссылка на р

5🔥3

21 Aug 2026, 15:00 UTC617 views25 reactions10 Starsread 29 August 2026
Photo

Нашли первые гипотезы и новые пространства для роста, построили подробную карту текущей конкуренции ➡️ Рассказываем, как прошёл воркшоп по инструментам голубого океана — делимся отзывом участника и инсайтами от одного из экспертов сессии Марии Хмеленко: «Один из результатов дня — не просто инсайт, а новый инструмент. Отталкиваясь от классических механик поиска голубого океана и логики ТРИЗ, мы сформулировали ещё о

custom 54565455777748901819👍8custom 54497273816170074795❤‍🔥3

21 Aug 2026, 07:00 UTC508 views17 reactionsread 26 August 2026
Photo

Онлайн-воркшоп 26 августа ➡️ Вместе построим карту пути клиента, найдём серые зоны и сформулируем первые гипотезы: что действительно чинить, а что только симптом Компании часто улучшают не то, что важно клиенту. На воркшопе разбираем, где ваш бизнес теряет ценность на пути клиента, диагностируем боли, формулируем гипотезы причин и решений совместно с экспертами. Чем отличается от обычного вебинара: 🔺 На воркшопе

7custom 544972738161700747964

20 Aug 2026, 15:04 UTC491 views19 reactionsread 25 August 2026
Photo

Что делать, если проснулся в алом океане и какую главную ошибку допускают компании при поиске новых направлений? Вторая часть ответов на вопросы участников вебинара — в карточках. Смотреть первую часть

🔥6👀4👍43custom 54497273816170074792

Showing the 12 most recent of 49 posts we hold for @beyond_taylor. 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 — 102,342 of 1,629,808 entries 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 6 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.

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.

Skolkovo School of Management
@skolkovo_channel · 43,172
Telegram ranks this channel #10 of 100 here — alongside 99 others — read 28 August 2026
Сергей Иванов из ЭФКО
@sergei_ivanov_efko · 64,471
Telegram ranks this channel #25 of 100 here — alongside 99 others — read 21 August 2026
Павел Гительман
@potok_gitelman · 37,397
Telegram ranks this channel #30 of 91 here — alongside 90 others — read 1 September 2026
Максим Спиридонов
@mspiridonov · 65,993
Telegram ranks this channel #32 of 98 here — alongside 97 others — read 21 August 2026
Оскар Хартманн
@Oskar_Hartmann · 94,151
Telegram ranks this channel #60 of 95 here — alongside 94 others — read 16 August 2026
Справочная от Точка Банк
@spravochnaya · 45,843
Telegram ranks this channel #65 of 96 here — alongside 95 others — read 27 August 2026
Точка Банк
@tochka · 55,075
Telegram ranks this channel #65 of 92 here — alongside 91 others — read 23 August 2026
Кутергин в огне 🔥
@kutergin_on_fire · 60,803
Telegram ranks this channel #71 of 97 here — alongside 96 others — read 22 August 2026
Михаил Дашкиев
@mikhaildashkiev · 43,708
Telegram ranks this channel #76 of 92 here — alongside 91 others — read 28 August 2026
Нескучные Финансы
@noboring_finance · 66,210
Telegram ranks this channel #76 of 97 here — alongside 96 others — read 21 August 2026
Mikhail Tokovinin
@mtokovinin · 108,000
Telegram ranks this channel #91 of 97 here — alongside 96 others — read 15 August 2026

This channel appears in 11 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 2 September 2026 — this entry's latest reading, not the date you are reading this.

“Beyond Taylor” (@beyond_taylor), 10,091 subscribers as measured 2 September 2026. Telegram Register, tgregister.com/channel/beyond_taylor.

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.