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 873–875 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
7 Aug 2026, 03:54
874
no change
7 Aug 2026, 00:02
874
first reading
Engagement
12 posts held, back to 12 February 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 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 12 posts for this entry, the most recent from 27 March 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
74 reactions across 8 posts, in 11 distinct kinds. The most used accounts for 27.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
20
27.0%
🤡
20
27.0%
👍
9
12.2%
👻
5
6.76%
💩
5
6.76%
⚡
4
5.41%
❤
3
4.05%
❤🔥
3
4.05%
👀
2
2.70%
🫡
2
2.70%
🤝
1
1.35%
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 8 of the 12 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 74reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 12 most recent posts we hold, published 12 February 2026 to 27 March 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.
Telegram Stars
Stars received
2
across the posts below
Posts paid on
2
of 9 we hold a reading for · 22%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @Pipromems. 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 12 most recent posts we hold for this entry, published 12 February 2026 to 27 March 2026. 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.
MARKETONG Research Q2 для стартапов: 5 сильных нарративов в ИИ
Собрали маркетинговый отчет, который вы закинете в закладки, но потом достанете, когда задумаетесь о перепозиционировании проекта в ИИ-сектор.
📊 Что внутри:
* Анализ нашего батла стартапов, почему мы его остановили, почему дисквалифицировали T4U
* 5 сильных нарративов вокруг ИИ, на которых сейчас можно строить маркетинг
* Индивидуальный маркетинговый ре…
UPD! По результатам пилотного батла мы поняли, что нам нужно приводить проекты более подготовленные к выступлению на инвест-аудиторию
Поэтому после целой недели анализа и проверки готовности проектов с командой на прошлой неделе мы видим 2 пути:
1.Заменить большую часть проектов на более подготовленные
2.Сменить фокус на батл ИИ проектов
За время подготовки первого батла мы открутили 7081$/23 800$ (29,7%)- от общег…
Запись на YT! Кто победил?
START-UP ОНЛАЙН БАТЛ #1 | КТО ЗАБЕРЁТ 5000$?
https://www.youtube.com/watch?v=S34z5nThEeI
Смотрите полный разбор питчей, вопросы жюри и выбор победителя!
Ссылки на проекты:
https://t.me/Pipromems/1114
Жюри и контакты:
https://t.me/Pipromems/1097
Кто вам зашёл больше — TON4 или DARK VPN? Пишите в комментариях! 👇
___
Форум живых Стартап Билдеров
<>
Обучающий Хаб для новичков 18+
Сегодня в 18:00 будут первые live голосования, чтобы определить кто заберёт 5 000$ по итоге турнира⚡️
Как устроена формула?
Мы открыто рассказываем об этом на картинке выше👌🏻
Проходить голосования будут на Форуме во время батла, не забудьте пройти Капчу здесь
#РЕКЛАМАБАЗЗА ВЫПУСК №5
*Если вы это читаете, значит это работает! Вы можете купить символы в этом посте каждый четверг. 13 000 $VSPACE / символ
Сегодня эти люди купили у нас символов на 30 511 000 $VSPACE
*Это 3,05% от всей эмиссии токенизированого индикатора стоимости этого канала, которую отправили на кошелёк MARKETONG чтобы получить символы в этом посте. Как это работает и в чём суть эксперимента?
🔽🔽🔽
__
⚙️1694 …
Павел Дуров круче сына Трампа на TOKEN 2049
Что это, если не пример хорошего #MARKETONG c точки зрения продвижения Личности и проекта?
Речь буквально идёт просто о последовательности размещения спикеров на сайте самой крупной конфы и казалось бы какая разница, кто первый?
Но в итоге ты получаешь инфоповод внутри инфоповода, а тут Павел ещё идёт «перед» фамилией TRUMP. Сейчас куча крупных каналов это расфорсили
Кст…
🤡1
Showing the 12 most recent of 12 posts we hold for @Pipromems. 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.
Citation-graph rank
Citation-graph rank — 53,851 of 1,169,250entries 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
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 10 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.
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 7 August 2026 — this
entry's latest reading, not the date you are reading this.
“Пи & MARKETONG” (@Pipromems), 874 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/Pipromems.
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.
