Posted without readable text
🔥1

Channel
@tatyana_punsh
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
174subscribers
-1 since we began measuring on 2 September 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002543023985 |
|---|---|
| Type | Channel |
| Username | @tatyana_punsh |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 2 September 2026 |
| Last confirmed live | 12 September 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 12 September 2026 |
| On Telegram | t.me/tatyana_punsh |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Sept 2026, 20:40 | 174 | -1 |
| 2 Sept 2026, 23:30 | 175 | no change |
| 2 Sept 2026, 23:17 | 175 | first reading |
20 posts held, back to 12 August 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.
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.
| Window | Rolling 30 days · latest post in window 1 September 2026 |
|---|---|
| Posts held | 20 (12 August 2026 – 1 September 2026) |
| Views total | 111 |
| Reactions total | 13 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 2 Sept 2026, 23:30 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.
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.
94 reactions across 14 posts, in 8 distinct kinds. The most used accounts for 27.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 26 | 27.7% | |
| 🔥 | 26 | 27.7% | |
| 👍 | 15 | 16.0% | |
| ❤🔥 | 11 | 11.7% | |
| 😍 | 8 | 8.51% | |
| 💯 | 3 | 3.19% | |
| 🥰 | 3 | 3.19% | |
| 👌 | 2 | 2.13% |
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 14 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 94 reactions 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 12 August 2026 to 1 September 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.
Posted without readable text
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Какие запросы сейчас у экспертов? Я обещала после кастдевов рассказать, что увидела. И если совсем коротко, запросы плюс-минус одни: - нужны клиенты; - продажи нестабильные, часто всё держится на сарафане; - непонятно, как продвигаться; - есть продукт, но непонятно, как его нормально запустить и продавать; - много всего делается вручную и держится на самом эксперте. И ещё я заметила, что эксперты условно делятся на…
❤2👍2🔥2
Почему хороший продукт остаётся непроданным? Расскажу на примере одного из интервью. У эксперта есть идея продукта для детей, и название уже придумали - "Развитие эмоционального интеллекта". Понятно, его надо продать родителям - платят они. А теперь представьте обычную маму, которая не психолог и никогда особо с психологами не общалась. Как вы думаете, она вообще понимает, что такое эмоциональный интеллект? Она ход…
❤2💯2🔥2
А что оно дает?!
Что болит у экспертов? Уже 3й день провожу встречи с экспертами. Ещё на завтра запланированы. После проанализирую и выложу, что беспокоит экспертов. Ожидайте ❤️
👍1
Сейчас мне нужны 3–5 человек для кастдева - небольшого онлайн-интервью. Ничего продавать не буду 🙌 Ищу экспертов и предпринимателей, у которых уже есть свой онлайн-продукт: консультации, наставничество, обучение, курс, клуб по подписке или другой экспертный продукт. ВАЖНО: интервью провожу с определённой целью, а именно: ✅ 1 - хочу понять, как у экспертов сейчас устроены продажи: что уже пробовали, что сработало, …
👍4❤3🔥3
🎁 Я собрала Колесо подарков для экспертов На ночь глядя решила выложить подарок для всех. Кому-то сейчас нужно разобраться с путём клиента. Кому-то - понять, какой лид-магнит создать. Кто-то собирается запускать свой клуб. А кому-то важнее разобраться со смыслами продукта или своей аудиторией. Поэтому я подготовила сразу несколько подарков и спрятала их за Колесом фортуны 🎡 Как это работает? Всё очень просто: 1.…
🔥8❤6❤🔥3
Подписчик зашёл в канал. А дальше что? Вчера я обещала рассказать, какую воронку собрала для эксперта. Показываю 😊 Мы сделали небольшую визитку в MiniApp, которая открывается в Telegram. Когда новый человек приходит в канал, он пока ничего не знает об эксперте. Перед ним много публикаций, эфиров, подкастов - непонятно, с чего начать знакомство. Поэтому мы собрали всё самое важное в одном месте. Сначала человек ви…
❤3👌2👍2🔥2❤🔥1😍1
завтра покажу, какую воронку я собрала еще одному психологу не знаю, почему, но мне часто приходится сотрудничать именно с психологами - видимо это мое личное❤️ скоро сама уже психологом стану с ними)
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Блииин
😍2❤1❤🔥1🔥1
Круто очень
❤2🔥2❤🔥1👍1
Ващеее
❤2😍2🔥1🥰1
Showing the 12 most recent of 20 posts we hold for @tatyana_punsh. 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.
Named by 1 registered channel — 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.
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 12 September 2026 — this entry's latest reading, not the date you are reading this.
“Воронки в MiniApp | Татьяна Пунш” (@tatyana_punsh), 174 subscribers as measured 12 September 2026. Telegram Register, tgregister.com/channel/tatyana_punsh.
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.