Telegram RegisterThe public register of Telegram

Channel

Pragmatic

@pragmatic_mgmt

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

444subscribers

+0 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-1001171558382
TypeChannel
Username@pragmatic_mgmt
DescriptionСтань профи в Kanban и SAFe! По вопросам: @anatolisanko
CreatedBetween 1 March 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held2
On Telegramt.me/pragmatic_mgmt

Growth

4446 Aug 2026, 07:19 — 444 subscribers6 Aug 2026, 19:17 — 444 subscribers6 Aug 2026, 07:196 Aug 2026, 19:17
2 measurements taken within a single day. 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 443–445 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
6 Aug 2026, 19:17444no change
6 Aug 2026, 07:19444first reading

Engagement

20 posts held, back to 8 March 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
15.8%
avg views ÷ 444 subscribers
Avg views / post
70.3
3 posts measured
Reaction rate
6.64%
reactions ÷ views · ER floor
Posts in window
3
of 20 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 30 July 2026
Posts held20 (8 March 202630 July 2026)
Views total211
Reactions total14
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 19:17 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
251
Links
222

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.

Reaction mix

95 reactions across 19 posts, in 9 distinct kinds. The most used accounts for 34.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3334.7%
❤‍🔥1818.9%
💘1515.8%
👍1010.5%
🔥88.42%
😱77.37%
👏22.11%
😍11.05%
🥰11.05%

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 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 95reactions 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 8 March 2026 to 30 July 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

30 Jul 2026, 08:24 UTC44 views6 reactionsread 6 August 2026
Photo

Всем привет! 🌐 Рассказываем о ближайших тренингах от Pragmatic. 🔹SAFe® Agile Product Management 10 – 21 августа Узнаете, как использовать дизайн-мышление, чтобы ставить клиентов в центр и создавать продукты, которые желанны, осуществимы и устойчивы. Поймете, как постоянные исследования стимулируют инновации. Также вы научитесь определять видение, стратегию и план действий, чтобы удовлетворять текущих клиентов и пр

❤‍🔥21👍1💘1🔥1

24 Jul 2026, 15:36 UTC70 views3 reactionsread 6 August 2026
Photo

Leading SAFe, что ждет на тренинге? После прохождения курса вы будете знать: Основы SAFe ▫Понимание основных принципов и ценностей Scaled Agile Framework. ▫Изучение того, как SAFe поддерживает Lean-Agile практики в организации. Бизнес-гибкость ▫Открытие стратегий для быстрого реагирования на изменения на рынке. ▫Изучение способов создания культуры, которая принимает изменения и инновации. Организационное выравнив

1❤‍🔥1💘1

17 Jul 2026, 09:03 UTC97 views5 reactionsread 6 August 2026
Photo

Всем привет! Курс AI-Empowered Leading SAFe стартует 27 июля🌍 Хотите научиться внедрять Agile-подход в крупных организациях, но не знаете, с чего начать? Курс Leading SAFe® — это ваш ключ к пониманию фреймворка Scaled Agile Framework и основ Lean-Agile трансформации. На нем вы научитесь управлять изменениями в масштабе, ускорять доставку ценности клиентам и создавать общий язык и культуру Agile в компании Тренинг п

2❤‍🔥1👍1💘1

3 Jul 2026, 10:03 UTC134 views3 reactionsread 6 August 2026

Друзья, публикуем запись эфира «SAFe становится AI-Native». Запись доступна по ссылке. Если у вас возникли вопросы по SAFe, напишите Анатолию в ЛС. Ближайшие тренинги AI-Empowered Leading SAFe (Базовый курс) 27-31 июля Курс обеспечивает вас руководством и инструментами для создания культуры устойчивости и общего языка, который вовлекает сотрудников и ориентируется на клиентов, чтобы организации могли работать гибк

1❤‍🔥1💘1

2 Jul 2026, 13:14 UTC148 viewsread 6 August 2026

Привет! 🌐 Напоминаем, что сегодня в 18:00 Анатолий Санько проведёт онлайн-митап на тему: «SAFe становится AI-native» Подключайтесь по ссылке ⬅️

22 Jun 2026, 17:17 UTC169 views8 reactionsread 6 August 2026
Photo

Всем привет! 🌐 Кажется, ИИ теперь везде. Вот и SAFe становится AI-native: Scaled Agile анонсировали соответствующие обновления, а мы решили провести на эту тему вебинар. На митапе разберем: 🔹изменения SAFe, которые появились из-за движения в сторону ИИ 🔹новую сертификацию Увидимся в четверг, 2 июля в 18:00 (GMT+3, Москва, Минск) Подключайтесь по ссылке ⬅️ До встречи! ❤️ #SAFe

👍32❤‍🔥1💘1🔥1

19 Jun 2026, 18:01 UTC154 views12 reactionsread 6 August 2026
Photo

Друзья, привет! 🌐 На связи Анатолий. Хочу поделиться радостной новостью: я получил лицензии на проведение классов Kanban Product Professional 1 & 2, а также Fit for Purpose! Запуск планирую уже в этом году. Буду рад ответить на вопросы и обсудить детали в личных сообщениях.

🔥43👏2❤‍🔥1👍1💘1

9 Jun 2026, 18:17 UTC154 views1 reactionsread 6 August 2026
Photo

Kanban Maturity Model: как оценить и развить зрелость ваших процессов 🌐 Вы уже используете Kanban, но хотите понять, куда двигаться дальше? На курсе мы разбираем паттерны эволюции Канбан систем, ищем точки улучшения и работаем с зависимостями: от собрания по кластеризации блокеров до обзора рисков. ▫Курс подойдет участникам команд, менеджерам проектов, программ и портфелей, тимлидам, Scrum мастерам, Agile коучам и

1

28 May 2026, 17:05 UTC155 views7 reactionsread 6 August 2026
Photo

Ребята, привет!❤️ Впереди тренинги по Канбан Методу, предлагаем вам посмотреть запись нашего митапа, где мы даем ответ на вопрос «Что такое Kanban?» Все материалы можно найти тут: https://1drv.ms/f/c/c202e47bc01079e1/Ei9q2z5-Pe1CljK72q1mR78B0HFfW1UaYIQzmiXt5PVXHw?e=iDCIne По всем вопросам пишите сюда ⬅ #Kanban

2❤‍🔥1👍1💘1🔥1😍1

22 May 2026, 12:23 UTC186 views10 reactionsread 6 August 2026

Всем привет, не думал, что меня такое коснется, но все бывает в первый раз. У провайдера произошли неполадки, и сайт полностью утерян. Занимаюсь восстановлением полностью с нуля. Бэкапов у провайдера тоже не оказалось по какой-то причине :( Если у Вас есть какие-то вопросы, то не стесняйтесь обращаться в личку

😱71❤‍🔥1💘1

18 May 2026, 09:54 UTC183 views6 reactionsread 6 August 2026
Photo

Привет! Ближайшие тренинги от Pragmatic.🌐 🔹Kanban System Design 8 — 12 июня Научитесь разрабатывать Канбан-систему и запускать эволюционные изменения с её помощью. Освоите ключевые принципы потока, вытягивания и совместного улучшения. Получите практические знания, которые помогут вам глубже понять существующие рабочие процессы и успешно внедрить или усовершенствовать Канбан в вашей организации 🔹Kanban Maturity Mode

2❤‍🔥1👍1💘1🔥1

4 May 2026, 12:26 UTC165 views5 reactionsread 6 August 2026
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Что умеет Flow Manager и зачем он нужен в Agile? 🌐 Команды могут быть гибкими, но доставка всё равно тормозит? Знакомая ситуация. Именно здесь нужен Flow Manager — человек, который управляет не людьми, а потоком работы. Курс сосредоточен на ключевых аспектах управления и улучшения потока работы, приносящей ценность клиенту. Вы получите практические навыки отслеживания и повышения эффективности доставки — чтобы резу

3❤‍🔥1💘1

Showing the 12 most recent of 20 posts we hold for @pragmatic_mgmt. 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.

Citation-graph rank

Citation-graph rank — 608,158 of 1,480,688entries 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

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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 2 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.

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

“Pragmatic” (@pragmatic_mgmt), 444 subscribers as measured 6 August 2026. Telegram Register, tgregister.com/channel/pragmatic_mgmt.

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.