Channel
@zhannasal
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
129subscribers
-2 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001679101675 |
|---|---|
| Type | Channel |
| Username | @zhannasal |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 11 September 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 11 September 2026 |
| On Telegram | t.me/zhannasal |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Sept 2026, 02:58 | 129 | +1 |
| 25 Aug 2026, 04:07 | 128 | -3 |
| 9 Aug 2026, 01:00 | 131 | no change |
| 7 Aug 2026, 19:22 | 131 | first reading |
7 posts held, back to 3 July 2026 — 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 page of 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 23 July 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 2 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.
36 reactions across 6 posts, in 4 distinct kinds. The most used accounts for 52.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 19 | 52.8% | |
| 👍 | 11 | 30.6% | |
| 🔥 | 4 | 11.1% | |
| 👌 | 2 | 5.56% |
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 6 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 36 reactions 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 3 July 2026 to 23 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.
Невероятно крутое утро с экспедицией Т-Бизнес «Локальный код»💛 ⠀ Спорт, крутой нетворкинг, конкурсы и кофейный рейв — идеальная атмосфера для того, чтобы дальше покорять этот мир! ⠀ Благодарю организаторов за организацию и за то, что Челябинск стал частью такой крутой экспедиции💛
👍1🔥1
Какое классное утро с Т-бизнес в рамках экспедиции «Локальный код»💛
❤7👍1
Продолжаем говорить про локальный бизнес, маркетинг и сообщества нашего города💛 23 июля в Челябинске пройдет пробежка в рамках большой федеральной экспедиции «Локальный код» от Т-Бизнес. Через активные события и неформальное общение Т-Бизнес объединяет предпринимателей по всей России — идеальный вариант, чтобы найти людей, близких по ценностям и духу💛 Пробежку в Челябинске проведет Владимир Волошин — спортивный пр…
👍6❤2
WGSN Future Consumer 2028: почему демография больше не работает WGSN в своем прогнозе Future Consumer 2028 делает довольно радикальный вывод: классическая сегментация по возрасту, доходу и географии устаревает. Будущий потребитель будет определяться не «кто он», а «во что он верит» и «как он чувствует мир». И вместо привычных портретов аудитории появляются 4 новых потребительских архетипа: 1. Restorers Люди, уста…
👌2👍1
🧡Тренд-отчет BCG: как теперь растет люкс сегмент Коллеги, не можем с вами не начать этот понедельник со свеженького тренд-отчета от BCG. Разбила ключевые выводы по трем главным бизнес-векторам: WHO (Кто покупает), WHY (Почему покупают) и HOW (Как технологии меняют рынок). 🦶1. WHO: Перезагрузка аудитории и возвращение к здоровому росту Рынок персонального люкса преодолел период турбулентности («Reset» 2024–2025 гг…
ВАУ – самый частый «отзыв» о наше галерее Поэтому (и не только) подали на премию WOW Awards наш совместный проект с «Новой Роскошью» – выставку современного искусства «Сердце дома» в апартаментах «ГОЛОС в сердце города». Номинация, разумеется, – «Коллаборация». Именно благодаря ей пространство в черновой отделке на время стало галереей. Живопись, керамика и предметный дизайн не просто заполнили пустые стены – они п…
❤7🔥3👍2
Наша с Лизой коллаборация «Сердце Дома» от Новой Роскоши и крупнейшего девелопера ГК Голос — в лонг-листе главного конкурса о маркетинге и креативе в девелопменте WOW FEST⚡️
❤3
Showing the 7 most recent of 7 posts we hold for @zhannasal. 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.
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.
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.
Named by
Channels on the register whose posts name this channel's handle.
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.
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 11 September 2026 — this entry's latest reading, not the date you are reading this.
“Zhanna Salatova” (@zhannasal), 129 subscribers as measured 11 September 2026. Telegram Register, tgregister.com/channel/zhannasal.
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.