4 measurements spanning 7 days, net +79. 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 6,760–6,863 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 08:38
6,851
+76
10 Aug 2026, 06:31
6,775
+1
7 Aug 2026, 01:30
6,774
+2
6 Aug 2026, 05:48
6,772
first reading
Engagement
17 posts held, back to 22 June 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 11 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
17.7%
avg views ÷ 6,851 subscribers
Avg views / post
1,210
7 posts measured
Reaction rate
0.614%
reactions ÷ views · ER floor
Posts in window
7
of 17 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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 7 August 2026
Posts held
17 (22 June 2026 – 7 August 2026)
Views total
8,469
Reactions total
52
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 02:46 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
Video runtime
44s
Average length
44s
Measured directly from 1 video 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.
Reaction mix
152 reactions across 16 posts, in 7 distinct kinds. The most used accounts for 50.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
76
50.0%
🔥
30
19.7%
🕊
29
19.1%
🌭
8
5.26%
❤🔥
4
2.63%
😢
4
2.63%
😍
1
0.658%
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 16 of the 17 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 152reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 22 June 2026 to 7 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.
Telegram Stars
Stars received
16
across the posts below
Posts paid on
6
of 16 we hold a reading for · 38%
Most on one post
11
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @contentaboutcontent. 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 17 most recent posts we hold for this entry, published 22 June 2026 to 7 August 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.
❓ ИИ-чаттер для сайтов за один вечер
Продолжаю серию постов про то, как не зависеть от чужих спорных продуктов и делать своё.
❓ Наша проблема в агентстве: нехватка вовлеченных чаттеров и потеря внимания на диалогах моделей Tier3 с пользователями, которые не особо платят или только пришли.
Чаттеру интереснее и выгоднее вкладываться в разговор с тем, кто платит: это деньги здесь и сейчас.
‼️ Решение: дать чаттеру ИИ…
👍 Сколько чужих сервисов держат твой бизнес за горло?
В комментариях в Content Secrets я не так давно жаловалась, что у нас отлетело достаточно большое сообщество на Reddit, а в выходные отлетело ещё одно. В связи с этим на меня напала рефлексия, и в воскресенье я посчитала, на скольких чужих сервисах висит мой доход прямо сейчас, всплакнула над грустными историями, когда из-за чьих-то косяков или изменения правил л…
🤎🤎🤎
Для жителей Санкт-Петербурга.
Это пост на правах дружеской рекомендации.
‼️ Самый лучший и мой самый любимый «Тот самый Нау» активно проводит экскурсии по крышам Санкт-Петербурга.
Просто посмотрите, какая красота у него в блоге.
Я нежно и трепетно люблю этого человечка.
Он не только знает, как выйти на самые-самые крыши Питера, но и готов вписаться в странные и очень странные авантюры-идеи.
Вот эти фото, ч…
🚨 Reddit тихо закрутил гайки?
🙂 На нескольких проектах наша команда плотно завязана на Reddit как на верх воронки.
Первое касание на Reddit, и дальше холодный трафик идёт в профиль или личку, а оттуда уже на сайт.
❓ Что случилось?
С 1 июля Reddit обновил политику приватности и покатил обязательную проверку возраста. Пока это реализовано для EU-юзеров младше 18 под DSA. То есть алгоритм смотрит на поведение и истори…
💸Выводим токены с Chaturbate💸
Классные ребятки делают быстрый и безумно простой способ вывода токенов с Chaturbate и Stripchat 😎
💗 Работают с декабря 2021 года
💗 Зачисление денег на вашу карту в течение 5 - 10 минут.
💗 Вывод на карты Казахстана 🇰🇿 Грузии 🇬🇪 Турции 🇹🇷 США 🇺🇸 Армении 🇦🇲 Кыргызстана 🇰🇬
💗 Вывод на любые российские карты по СБП!
💗 Минимальная сумма вывода 15$.
💗 Зачисление от физ. лиц
💗 Возможность обс…
❤️ Папа римский написал свою первую энциклику. Про AI
Не совсем в теме канала, но мы тут не только про контент, но и про AI, а высказывание Ватикана для мира AI знаковое.
Наместник Святого Петра выпустил, пожалуй, самый заметный документ об искусственном интеллекте в 2026м.
❓ Что случилось?
Папа Лев XIV выпустил первую энциклику — «Magnifica Humanitas».
✏️ Немного контекста
Энциклика — это программный документ, …
💞💞💞💞💞💞💞💞💞
💞💞💞💞💞💞
Хочешь работать в дружной атмосфере и достойно зарабатывать?
💸 Что по деньгам?
• +10 000 ₽ ко второй зарплате;
• Выплаты каждую неделю + авансы после смен;
• До 65% от заработка (55% уже от 5 смен в неделю);
• Каждая 5-я, 6-я и 7-я смена считается под 60%;
• Денежные призы каждые 2 недели;
• 500$ за приведённую подругу❕
💕 Что ждёт тебя помимо заработка?
• Продвижение и промо на Chaturbate;
• Беспл…
🦊 Фабрика контента для ИИ-моделей на Comfy MCP
Не так давно ComfyUI выпустили в бета-тест свой Comfy MCP.
Если вы занимаетесь монетизацией ИИ-контента (например, моделей на Fanvue) или активно внедрили ИИ-контент в свою жизнь как creator'а, то пост может быть вам полезен. Ставьте реакцию и читайте дальше.
✅ Если хочется больше постов про ИИ-моделей/генерацию контента, насыпьте 🌭🌭🌭
Немного по понятиям ⬇️
❓ MCP — э…
Песец контенту pinned «SecretRoom - монетизируй аудиторию вместе с нами! Платформа, наконец-то открыла свободную регистрацию и с нетерпением, ждет новых Авторов контента и Агентства Что предлагаем: 👑Быструю и простую верификацию. Не нужно мучаться и искать варианты, как и на…»
SecretRoom - монетизируй аудиторию вместе с нами!
Платформа, наконец-то открыла свободную регистрацию и с нетерпением, ждет новых Авторов контента и Агентства
Что предлагаем:
👑Быструю и простую верификацию. Не нужно мучаться и искать варианты, как и на какие документы ее пройти. Есть 18 лет? Можешь это доказать? Тогда ждем тебя!
🔥 Принимаем AI-моделей. До двух моделей на одни документы
↗️Собственный трафик. Это …
💸 Чарджбеки: «невидимый налог», который никто не закладывает в юнит-экономику
Эту серию можно назвать «Деньги, которых вы не видите». Скрытые источники доходов и расходов.
Когда занимаешься планированием, обычно прикидываешь:
☑️ доход с подписки;
☑️ доход со стрима;
☑️ расходы на съёмки;
☑️ расходы на зп персоналу;
☑️ расходы на новые съёмки.
❗️ В этих расчетах обычно не закладывается часть суммы, что может быть в…
Вторая жизнь контента: как заработать на том, что уже снято
Моя любимая тема. Не раз уже об этом говорила и повторю.
Самый дешёвый контент — это тот, который уже есть. Не новые съёмки, а архив на диске.
❗️ По моему опыту, почти у всех креаторов в архиве контента за последний год лежит под сотню гигабайт, что были просмотрены только в момент монтажа и публикации.
И больше никогда.
📬 Переупаковка форматов
Длинное ви…
🕊29❤8
Showing the 12 most recent of 17 posts we hold for @contentaboutcontent. 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 — 131,666 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 4 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 13 August 2026 — this
entry's latest reading, not the date you are reading this.
“Песец контенту” (@contentaboutcontent), 6,851 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/contentaboutcontent.
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.