Telegram RegisterThe public register of Telegram

Channel

Axenix: ИТ, стратегии и консалтинг

@Axenix_Ru

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

10,405subscribers

+282 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001745559336
TypeChannel
Username@Axenix_Ru
Created8 September 2022measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded7 August 2026
Last confirmed live13 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/Axenix_Ru

Growth

10,11710,40510,2617 August 2026 — 10,123 subscribers7 August 2026 — 10,117 subscribers8 August 2026 — 10,164 subscribers9 August 2026 — 10,194 subscribers10 August 2026 — 10,189 subscribers11 August 2026 — 10,231 subscribers12 August 2026 — 10,332 subscribers13 August 2026 — 10,405 subscribers7 August 202613 August 2026
8 measurements spanning 7 days, net +282. 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 10,074–10,448 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 17:3610,405+73
12 Aug 2026, 13:4410,332+101
11 Aug 2026, 12:3310,231+42
10 Aug 2026, 11:5110,189-5
9 Aug 2026, 09:5210,194+30
8 Aug 2026, 07:5110,164+47
7 Aug 2026, 09:3110,117-6
7 Aug 2026, 00:1610,123first reading

Engagement

23 posts held, back to 5 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 16 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
4.70%
avg views ÷ 10,405 subscribers
Avg views / post
489
21 posts measured
Reaction rate
1.17%
reactions ÷ views · ER floor
Posts in window
23
of 23 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 12 August 2026
Posts held23 (5 August 202612 August 2026)
Views total10,260
Reactions total120
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Aug 2026, 05:14 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
2h 59m
Average length
35m 53s

Measured directly from 5 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

120 reactions across 21 posts, in 9 distinct kinds. The most used accounts for 36.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
4436.7%
👍3630.0%
🔥2420.0%
👏86.67%
🐳32.50%
🤪21.67%
custom 518851827681201417810.833%
😁10.833%
🥰10.833%

Custom emoji. One row above is a 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 count beside it isTelegram’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 21 of the 23 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 120reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 23 most recent posts we hold, published 5 August 2026 to 12 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.

Recent posts

12 Aug 2026, 15:01 UTC346 views1 reactionsread 13 August 2026
Video

Иван Бунин как-то сказал: «Больше всех рискует тот, кто никогда не рискует». А Дмитрий Харитонов в выпуске подкаста Coffee Talks добавил: Всегда есть огромная неизвестность впереди, всегда есть огромные риски, с которыми мы работаем. Еще больше того, чего мы не знаем и, возможно, знать не хотим. Нужна, наверное, смелость определенная. Где-то дерзость такая, где-то авантюра. Но самое важное: нужно кайфовать от того,

1

12 Aug 2026, 13:24 UTC366 views1 reactionsread 13 August 2026
Photo

AXENIX SRM Day: об умных закупках от ведущих экспертов отрасли Мы уже рассказывали, что первая встреча AXENIX по SRM была посвящена трансформации закупочной функции под влиянием ИИ и агентов. Доклады представителей «Акрон Холдинга», «Черкизово», «Русагро», Альфа-Банка и других компаний показали, что внедрение ИИ в закупки уже дает измеримые результаты в скорости, качестве решений и экономическом эффекте. На карточк

1

12 Aug 2026, 12:57 UTC354 views2 reactionsread 13 August 2026
Photo

Обратите внимание! Вебинар In.Plan «Планирование закупок сырья и материалов (MRP) как часть интегрированного бизнес-планирования» переносится с 13 на 18 августа. ☑️ Приносим извинения за доставленные неудобства и ждем вас на вебинаре 18 августа в 16:00! #AX_InPlan 🔥 AXENIX: Telegram | MAX | ВК

2

12 Aug 2026, 07:45 UTC419 views4 reactionsread 13 August 2026
Photo

☑️☑️ Менее чем за 5 месяцев команда AXENIX успешно внедрила решение «1С:ERP. Управление холдингом» для российских активов Reckitt — одного из крупнейших в мире производителей товаров для дома, бытовой химии, лекарств, средств личной гигиены. В результате заказчик без остановки операционной деятельности перевел на отечественную платформу весь контур бизнеса — от производства, продаж и отгрузок до складского, регламен

2👍1👏1

11 Aug 2026, 14:51 UTC301 views3 reactionsread 12 August 2026
Photo

Наша команда реализовала бесшовный перевод ключевых HR-процессов с глобального решения на Mirapolis HCM для компании «JTI Россия». Внедрение новой системы происходило в три этапа с использованием MVP-подхода для всех основных процессов — от подбора до формирования кадрового резерва. Переход затронул 5 юридических лиц компании и около 4 тыс. сотрудников. Специалисты AXENIX интегрировали новую платформу с учетом спец

🔥3

11 Aug 2026, 12:26 UTC383 views3 reactionsread 12 August 2026
Photo

Сложность современных цепочек поставок не позволяет управлять ими только вручную. Нужна система, которая будет мониторить процессы и сообщать пользователю об отклонениях, высвобождая время сотрудников для решения проблем, а не их поиска. Для этих целей в IBP-платформе In.Plan реализован подход планирования на основе предупреждений. Специальный инструмент отслеживает ключевые показатели, постоянно сравнивая их с зада

👍3

11 Aug 2026, 07:21 UTC546 views6 reactionsread 12 August 2026
Video

Российский ИТ-рынок вступает на новый этап. Импортозамещение перестает быть главной темой, а на первый план выходят скорость изменений, искусственный интеллект и развитие собственных продуктов. Как принимать решения в такой ситуации? Какие технологии определят развитие рынка в ближайшие годы? Какие компетенции станут ключевыми для руководителей? Об этом говорим в новом выпуске Coffee Talks с генеральным директором

👍41🔥1

10 Aug 2026, 12:49 UTC574 views4 reactionsread 12 August 2026
Photo

Напоминаем, что уже 13 августа в 16:00 мы будем ждать вас на вебинаре In.Plan, посвященном планированию закупок сырья и материалов (MRP). Почему вам стоит зарегистрироваться и подключиться? Вот 5 причин: ➊ Вы узнаете, как работает современный MRP Научитесь автоматически рассчитывать потребность в сырье и материалах на основе производственного плана, текущих запасов и уже размещенных заказов ➋ Вы увидете, как работ

4

10 Aug 2026, 10:32 UTC600 views3 reactionsread 12 August 2026
Photo

Исследование российских MES от AXENIX и TAdviser показало, что зрелость отечественных решений стала значительно выше. На рынке появился выраженный лидер, сформировалась группа сильных специализированных игроков и широкий класс продуктов, эффективных решающих отдельные задачи. Однако универсального решения, которое одновременно сочетало бы глубокую отраслевую функциональность, гибкую платформу, зрелую экспертизу, пре

🔥3

8 Aug 2026, 11:03 UTC684 views10 reactionsread 12 August 2026
Photo

Supply Network Planning или SNP в нефтехимии связывает спрос, производство, запасы и дистрибуцию в единый сбалансированный план. В данной отрасли это особенно важно, потому что одно решение влияет на всю цепочку. Например, если увеличить выпуск одной марки на установке, может измениться доступность другой марки, загрузка мощностей, объем запасов и возможность выполнить заказы клиентов. На вебинаре покажем, как платф

👍54🔥1

8 Aug 2026, 08:45 UTC636 views9 reactionsread 12 August 2026
Photo

Нейросети умеют справляться с множеством самых разнообразных задач, но из-за особенностей каждой отдельной модели под конкретную цель имеет смысл подбирать свой ИИ, а не пытаться найти один универсальный вариант. Более того, так как модели постоянно развиваются и обновляются, важно периодически делать «ревизию» своего набора ИИ-инструментов. Сейчас для составления писем и планов, поиска идей для текста вполне достат

👏53😁1

Showing the 12 most recent of 23 posts we hold for @Axenix_Ru. 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 — 24,240 of 1,176,251entries 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

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 7 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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“Axenix: ИТ, стратегии и консалтинг” (@Axenix_Ru), 10,405 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/Axenix_Ru.

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.