3 measurements spanning 8 days, net -1. 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 353–354 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
15 Aug 2026, 07:28
353
-1
8 Aug 2026, 06:46
354
no change
7 Aug 2026, 15:50
354
first reading
Engagement
7 posts held, back to 8 July 2025 — 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 7 posts for this entry, the most recent from 10 December 2025. An engagement rate over an empty window would be a number about nothing.
Reaction mix
73 reactions across 7 posts, in 10 distinct kinds. The most used accounts for 26.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
19
26.0%
❤
15
20.5%
🙏
10
13.7%
👌
8
11.0%
👍
8
11.0%
👏
4
5.48%
🤝
4
5.48%
😁
3
4.11%
🤣
1
1.37%
🥰
1
1.37%
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 7 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 73reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 7 most recent posts we hold, published 8 July 2025 to 10 December 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.
Telegram Stars
Stars received
8
across the posts below
Posts paid on
6
of 7 we hold a reading for · 86%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @vesnatech. 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 7 most recent posts we hold for this entry, published 8 July 2025 to 10 December 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.
🥇 Зимний марафон закупщика продолжается!
Азарт растет, баллы прибавляются, и борьба за медали становится все горячее.
Уже открыты два первых задания — если вы еще не в игре, сейчас самое время включиться!
✔️ Биатлон знатоков — короткий тест, который проверит, насколько хорошо вы знакомы с обучающим центром ЭТП Аудиториум
✔️ Телеграм-слалом — интерактив в нашем телеграм-канале «Закупки с экспертами»: комментируйте,…
➡️ Если вы работаете в сфере закупок, не пропустите Зимний марафон от экспертов ЭТП ГПБ.
🔍 Проверьте свои знания, пройдите зимние испытания и получите полезные подарки: методические материалы, видеолекции, курсы повышения квалификации по 44-ФЗ и 223-ФЗ.
Присоединяйтесь — марафон уже идёт! ⬇️
📌📌 Мы вошли в «Карту российского ИИ 2.0», подготовленную бизнес-медиа «Инк» совместно с проектом AI Factory. Решения VESNA включены в категорию «Агентные платформы и автоматизация».
🔍 Это самое полное исследование российского рынка генеративного ИИ: 170+ сервисов, разбивка по категориям, данные по инвестициям, интерактивная таблица с описанием и фильтром. Полезно всем, кто выбирает ИИ-решения для бизнеса или следит …
⚡️ Сегодня приоткроем завесу тайны и расскажем, как устроена работа команды направления развития цифровых сервисов газовой отрасли.
⚡️ Мы создаем цифровые сервисы в ритме недельных спринтов с ежедневными релизами. Более того, до 30% задач могут поступать вне спринта! Звучит интенсивно, правда? 😅 Но у нас всё под контролем! Про выстроенную у нас систему рассказали в карточках.
⚡️ В VESNA мы держим фокус на результат…
✔️Наше. 5 разработок, которые изменили ИТ-индустрию
Советский Союз и Россия внесли значительный вклад в развитие информационных технологий, подарив миру разработки, которые до сих пор оказывают влияние на индустрию. От всемирно известной игры до фундаментальных технологий в области искусственного интеллекта — в карточках вспоминаем пять ярких примеров ⬆️
⚡️ Новости цифровизации
Собрали события в ИТ-отрасли за неделю. Коротко о самом важном.
Три самые интересные новости мы обсудили с руководителем лаборатории ИИ компании VESNA Иваном Башариным. Их можно посмотреть в карточках выше, а подробнее — в источниках:
⚡️ OpenAI запустит свой браузер на основе ИИ →
⚡️ МИФИ и «Яндекс» будут вместе обучать специалистов по ИИ →
⚡️ Интерес российских компаний к «умным» CRM и E…
⚡️ Новости цифровизации
Собрали события в ИТ-отрасли за неделю. Коротко о самом важном.
Три самые интересные новости мы обсудили с руководителем лаборатории ИИ компании VESNA Иваном Башариным. Их можно посмотреть в карточках выше, а подробнее — в источниках:
⚡️ СИБУР разработал нейросеть для контроля качества технологических процессов в реальном времени →
⚡️ «Яндекс» отменил плату за большинство функций нейросети…
🔥4🤝4🙏3
Showing the 7 most recent of 7 posts we hold for @vesnatech. 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.
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
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.
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 15 August 2026 — this
entry's latest reading, not the date you are reading this.
“VESNA Tech Insight” (@vesnatech), 353 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/vesnatech.
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.
