Telegram RegisterThe public register of Telegram

Channel

WONE IT

@wone_it

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

412subscribers

+0 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001642817987
TypeChannel
Username@wone_it
DescriptionWONE IT — ИТ-компания полного цикла Берем на себя решение всех технологических задач вашего бизнеса, работаем с заказчиками любого масштаба и профиля деятельности. Cайт: https://clck.ru/33rSST Написать нам: info@wone-it.ru
CreatedBetween 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live8 August 2026
Measurements held2
On Telegramt.me/wone_it

Growth

4127 Aug 2026, 12:31 — 412 subscribers8 Aug 2026, 05:35 — 412 subscribers7 Aug 2026, 12:318 Aug 2026, 05:35
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 411–413 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Aug 2026, 05:35412no change
7 Aug 2026, 12:31412first reading

Engagement

9 posts held, back to 24 June 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
28.8%
avg views ÷ 412 subscribers
Avg views / post
119
4 posts measured
Reaction rate
0.867%
reactions ÷ views · ER floor
Posts in window
4
of 9 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. It is computed over the 3 of 4 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 5 August 2026
Posts held9 (24 June 20265 August 2026)
Views total475
Reactions total3
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 05:35 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
623
Videos
29
Links
401

Lifetime counters from Telegram’s own channel header, read 8 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

12 reactions across 6 posts, in 4 distinct kinds. The most used accounts for 50.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍650.0%
325.0%
🔥216.7%
❤‍🔥18.33%

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 7 of the 9 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 12reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 9 most recent posts we hold, published 24 June 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.

Recent posts

5 Aug 2026, 06:44 UTC81 views0 reactionsread 8 August 2026
Forwarded from @optimacrosPhoto

На CNews Forum Кейсы 2026 Ирина Карпова, заместитель генерального директора по экономике, финансам и ИТ «АгроТерра», поделилась опытом масштабной трансформации процессов бюджетирования с использованием Optimacros. Холдинг заменил Excel и Anaplan гибридным решением на базе Optimacros, «1С:ERP» и корпоративной шины данных с визуализацией через Yandex DataLens. Теперь все данные консолидируются в едином цифровом контур

29 Jul 2026, 08:02 UTC129 viewsread 8 August 2026
Photo

Когда собственная СЭД становится проблемой, а не преимуществом. Крупная ИТ-компания с более чем 2000 сотрудников годами развивала собственную систему документооборота. Но со временем поддержка решения стала отнимать все больше ресурсов, а развитие бизнеса — требовать большей гибкости. Вместо очередного цикла доработок компания приняла другое решение — перейти на ELMA365 CSP и перенести ключевые процессы в современн

22 Jul 2026, 07:12 UTC141 views2 reactionsread 8 August 2026
Forwarded from @elmadayPhoto

🏆 ELMA365 CSP — в тройке лидеров первого рейтинга СЭД с ИИ! Аналитики CNewsMarket оценивали решения по 50+ критериям: ИИ-агенты, интеллектуальный поиск, поддержку разных языковых моделей и безопасность работы с LLM. ‼️ Наивысшую оценку аналитиков среди всех участников рейтинга ELMA365 CSP получила по критерию «Разработка и внедрение», что говорит о значимой функциональной зрелости продукта и ориентации на решение з

1👍1

22 Jul 2026, 07:12 UTC124 views1 reactionsread 8 August 2026

Поздравляем @elmaday ! 🏆ELMA365 CSP - в тройке первого рейтинга СЭД с ИИ. Приятно видеть продукт, с которым мы работаем, среди лидеров.

❤‍🔥1

15 Jul 2026, 09:32 UTC180 viewsread 8 August 2026
Photo

Подготовка должностных инструкций выглядит как рутинная работа, которая может отнимать немало времени HR специалиста. Нужно собрать требования от руководителя, привести их к корпоративному шаблону и после согласовать. Если в компании за год открываются сотни вакансий, в сумме набегает прилично. В решении на базе ELMA365 эту часть работы можно поручить AI-агенту. Руководитель или HR-специалист описывает основные тр

3 Jul 2026, 08:19 UTC181 views3 reactionsread 8 August 2026
Forwarded from @elmadayPhoto

🟡 Корпоративный ИИ безопасно внедряется в рабочие процессы С помощью ELMA Cortex внедрять AI в бизнес-процессы можно безопаснее, проще и с полным контролем над тем, как работают агенты. Что нового: *️⃣ маскировка чувствительных данных при работе с LLM; *️⃣Guardrails — конструктор правил поведения ИИ-агентов; *️⃣ изолированные проекты и перенос AI-решений между стендами; *️⃣ улучшенная поддержка моделей Яндекс и Сбе

👍3

2 Jul 2026, 07:07 UTC170 views2 reactionsread 8 August 2026
Photo

Когда банк или другая фин. компания решает запустить клиентский портал, обычно рассматривают три варианта: 1) Разработать с нуля. Максимум свободы, но это затяжной проект с неопределёнными сроками и бюджетом. 2) Купить готовое решение. Запуск быстрее, но не все процессы поддерживаются. В итоге приходится подстраиваться под систему. 3) Использовать модуль CRM или учётной системы. Подходит, если работа построена вокр

👍2

26 Jun 2026, 07:45 UTC187 views1 reactionsread 8 August 2026
Photo

В отделе продаж могут записываться сотни звонков в неделю. Но проверяются единицы. Остальные остаются без анализа... AI-агент в ELMA365 позволяет анализировать каждый звонок автоматически. Когда звонок заканчивается, агент расшифровывает его и сохраняет в карточку клиента или сделки в CRM. Дальше, в зависимости от задач, он может: — собрать краткое содержание разговора — определить тональность: где клиент был заинт

🔥1

24 Jun 2026, 06:31 UTC150 views3 reactionsread 8 August 2026
Forwarded from @optimacrosPhoto

Металлургический холдинг «Уралмайн» успешно завершил внедрение модуля MRP на базе Optimacros Смотрите в карточках подробности проекта. Эффекты от внедрения: ✔️ 70% скомплектовано операционных запасов под заявки с ожидаемым сроком использования в производство, ✔️ 10% запасов в процессе внедрения системы признаны невостребованными для дальнейшей продажи, ✔️ на 14% оптимизирована закупка за счет использования имеющихс

2🔥1

Showing the 9 most recent of 9 posts we hold for @wone_it. 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.

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

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

“WONE IT” (@wone_it), 412 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/wone_it.

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.