ИЩЕМ СЕКСТЕРОВ В APREE TEAM 👀 Что ты получаешь у нас: ✔️ Стабильный доход + прозрачная система бонусов за результат ✔️ Понятный рост: от оператора до тимлида — карьера, а не «просто смена» ✔️ Полная удалёнка и гибкий график — работай откуда удобно ✔️ Обучение с нуля и поддержка команды — не бросим одного ✔️ Сильнейшие проекты, мы работаем с большими тоталами Что нужно от тебя: желание расти, ответственность и готов…

Channel
APREE CONSULTING
@apreecon
On this record: Also posting the same content · Growth · Engagement · Reactions · Posts · Citations · Cite this entry
1,212subscribers
+13 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1001604749642 |
|---|---|
| Type | Channel |
| Username | @apreecon |
| Created | Between 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 16 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 16 August 2026 |
| On Telegram | t.me/apreecon |
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Aug 2026, 20:16 | 1,212 | +10 |
| 13 Aug 2026, 16:18 | 1,202 | +1 |
| 10 Aug 2026, 14:07 | 1,201 | -1 |
| 7 Aug 2026, 19:35 | 1,202 | +3 |
| 6 Aug 2026, 22:02 | 1,199 | first reading |
Engagement
20 posts held, back to 15 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 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 17.1%
- avg views ÷ 1,212 subscribers
- Avg views / post
- 207
- 17 posts measured
- Reaction rate
- 0.52%
- reactions ÷ views · ER floor
- Posts in window
- 17
- of 20 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. It is computed over the 10 of 17 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 August 2026 |
|---|---|
| Posts held | 20 (15 July 2026 – 6 August 2026) |
| Views total | 3,527 |
| Reactions total | 11 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 22:02 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.
Reaction mix
25 reactions across 12 posts, in 6 distinct kinds. The most used accounts for 44.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 11 | 44.0% | |
| 🔥 | 7 | 28.0% | |
| 👍 | 4 | 16.0% | |
| ⚡ | 1 | 4.00% | |
| 😨 | 1 | 4.00% | |
| 🤯 | 1 | 4.00% |
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 12 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 25reactions 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 15 July 2026 to 6 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.
Recent posts
🟢 Испытательный срок чаттера — головная боль любого РОПа, да и не только, вообще всех:) (Особенно, если берем новичков, это вообще треш) Самые распространенные ситуации, в которых ты 100% себя узнаешь: — Чаттеров нанимать нужно, но нанимают со скрипом, потому что надо проводить адекватный онбординг — Опытных знающих чаттеров нужно где-то искать, они на вес золота, брать новичков страшно, вдруг сольют продажи, китов …
😨1
Ну что-же, провели эфир с Apree про новый крипто-закон. Вопросов накидали штук тридцать пять, успели разобрать хорошо если треть. Будет вторая часть. А пока коротко и по делу, потому что в комментах уже спрашивают «так что делать-то». Сначала главное Этот закон писали не про вас. Его писали под майнеров, чтобы намайненное внутри страны менялось внутри страны, а не улетало на зарубежные биржи. Вы там проходите ка…
❤2
❤️ Всем привет! После последнего эфира, где мы освещали тему: "Как теперь получать зарплату в Adult после нового закона?" мы поняли, что есть вопросы, на которые не было ответа. ❗️ Именно поэтому, мы, совместно с Васей сделали пост, в котором пробежались по самым горячим темам. 💕 Подписывайтесь и делитесь с друзьями, если инфа была вам полезна) APREE TEAM - про то, как моделям зарабатывать больше, тратя меньше с…
🔴 Как не потерять Instagram после очередной волны банов Каждый раз, когда Instagram меняет алгоритмы или усиливает модерацию, в агентствах начинается паника. У моделей улетают аккаунты, останавливается приток трафика, и вся команда экстренно пытается найти решение. Но если посмотреть глубже, проблема почти никогда не заключается в самом бане. Проблема в том, что у многих агентств Instagram до сих пор остаётся единс…
❤1
🏋♀ Когда операторы решают, кто будет отвечать за новую альтушку в агентстве: APREE TEAM - про то, как моделям зарабатывать больше, тратя меньше сил и времени APREE CONSULTING - канал для оунеров ропов менеджеров с внутрянкой работы агентства и инструментами роста прибыли
ИЩЕМ СЕКСТЕРОВ В APREE TEAM 👀 Что ты получаешь у нас: ✔️ Стабильный доход + прозрачная система бонусов за результат ✔️ Понятный рост: от оператора до тимлида — карьера, а не «просто смена» ✔️ Полная удалёнка и гибкий график — работай откуда удобно ✔️ Обучение с нуля и поддержка команды — не бросим одного ✔️ Сильнейшие проекты, мы работаем с большими тоталами Что нужно от тебя: желание расти, ответственность и готов…
🤯1
🟢 Почему CRM сама по себе не решает проблемы агентства Сейчас CRM есть практически у каждого агентства. Кто-то работает в HubSpot, кто-то в Notion, кто-то вообще собирает всё в Google Sheets. Но если честно, наличие CRM ещё ничего не значит. Как всё происходит: Руководитель говорит: «У нас всё есть, процессы выстроены». Начинаешь разбирать работу команды — и оказывается, что половина задач живёт в Telegram, часть о…
🔥1
💕 Спасибо всем за эфир! Для вас выступали Спикеры: • Ира Привет — Co-owner OnlyFans-агентства Apree Team. • Василий — CPO теневой стороны FinTech. Если вам понравилось, и вы хотите больше таких активностей - ставьте реакции 🩷 APREE TEAM - про то, как моделям зарабатывать больше, тратя меньше сил и времени APREE CONSULTING - канал для оунеров ропов менеджеров с внутрянкой работы агентства и инструментами роста приб…
❤1
💕 Спасибо всем за эфир! Для вас выступали Спикеры: • Ира Привет — Co-owner OnlyFans-агентства Apree Team. • Василий — CPO теневой стороны FinTech. Если вам понравилось, и вы хотите больше таких активностей - ставьте реакции 🩷 APREE TEAM - про то, как моделям зарабатывать больше, тратя меньше сил и времени APREE CONSULTING - канал для оунеров ропов менеджеров с внутрянкой работы агентства и инструментами роста приб…
Эфир начался! Присоединяйтесь)
⏰ До подкаста осталось 3 часа! Уже сегодня в 15:30 по МСК проведём совместный подкаст Apree Team × Блядские Финансы, где разберём, что на самом деле меняется после нового закона и как теперь получать выплаты в Adult-индустрии. Обсудим: • Что изменится для моделей, агентств и сотрудников. • Какие способы получения выплат останутся рабочими. • Что является мифами, а что — реальными изменениями. • Ответим на самые поп…
Showing the 12 most recent of 20 posts we hold for @apreecon. 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.
Citation-graph rank
Citation-graph rank — 771,985 of 1,548,671entries 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.
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
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.
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 16 August 2026 — this entry's latest reading, not the date you are reading this.
“APREE CONSULTING” (@apreecon), 1,212 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/apreecon.
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.