Marketing & affiliate — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 85% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 2 other registered channels, 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.
35 measurements spanning 49 days, net +1,288. 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 13,566–15,240 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)
Subscribers
Change
25 Sept 2026, 17:19
15,047
+609
19 Sept 2026, 06:36
14,438
+32
16 Sept 2026, 17:01
14,406
+54
14 Sept 2026, 17:59
14,352
-48
13 Sept 2026, 04:39
14,400
+17
11 Sept 2026, 09:17
14,383
-55
8 Sept 2026, 16:00
14,438
+76
5 Sept 2026, 09:19
14,362
+122
3 Sept 2026, 14:20
14,240
+117
2 Sept 2026, 05:46
14,123
-18
1 Sept 2026, 03:26
14,141
+113
31 Aug 2026, 01:17
14,028
-32
30 Aug 2026, 00:11
14,060
-48
28 Aug 2026, 21:03
14,108
-19
27 Aug 2026, 22:14
14,127
-40
26 Aug 2026, 20:44
14,167
-27
25 Aug 2026, 20:55
14,194
+5
24 Aug 2026, 20:27
14,189
+110
23 Aug 2026, 04:05
14,079
+71
21 Aug 2026, 15:44
14,008
first reading
Engagement
32 posts held, back to 19 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 54 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
2.59%
avg views ÷ 15,047 subscribers
Avg views / post
390
3 posts measured
Reaction rate
2.91%
reactions ÷ views · ER floor
Posts in window
3
of 32 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 2 September 2026
Posts held
32 (19 July 2026 – 2 September 2026)
Views total
1,169
Reactions total
34
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
2 Sept 2026, 20:15 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
16m 15s
Average length
2m 19s
Measured directly from 7 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.
Reaction mix
299 reactions across 32 posts, in 15 distinct kinds. The most used accounts for 22.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
68
22.7%
custom 5271762396640200492
55
18.4%
🔥
55
18.4%
🤣
28
9.36%
😁
27
9.03%
😎
15
5.02%
custom 5330237710655306682
10
3.34%
🐳
9
3.01%
⚡
8
2.68%
💯
8
2.68%
👍
6
2.01%
😍
5
1.67%
🍓
3
1.00%
🎉
1
0.334%
🤗
1
0.334%
Custom emoji. 2 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
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 32 of the 32 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 299 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 32 most recent posts we hold, published 19 July 2026 to 2 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.
*Моргенштерн выдал у **Дудя гениальную базу
уже видели? видимо меня зацепила именно эта тема больше всего в контексте отказа от ашек и жизни в чистоте
еще появилось четкое ощущение, что *Морген что-то явно понял, правда как будто находится в начале пути и уже так гениально, что же будет через 5 лет, м?
* признан иноагентом в РФ
** признан иноагентом в РФ
Подружка Миллиардера
1.000.000₽ из 2 продающих постов, офферов, как такое возможно?
Делюсь историей клиента:
Ольга Клекова 🔥
ТОП-эксперт по элитной недвижимости
Ольга купила услугу по внедрению маркетинга и продаж - я помогла сделать сначала 1 пост / оффер, который принёс 82 заявки на той же аудитории за 48 часов без доп.вложений в рекламу. Второй пост сработал также хорошо и этот результат стал отправной точкой изменений, тк очень ста…
Как я провела лето? 🌝
Насыплю немного фактов и цифр в последний день лета, чтобы похвалить себя и адекватно спланировать осень и вы также порефлексируйте сегодня, яхонтовые мои, хорошечно? ❤️
Погнали:
• Набрала +8000 подписчиков и +2,5 млн просмотров 1го Shorts в YouTube - это не целевая аудитория (пока что 🌝), но это первый прецедент , когда в трафик вложено 0 руб, 0 монтажа, 0 людей и зарплат, но прибыли тоже из…
+500.000₽ чистой прибыли и выручка ~2.500.000₽ с помощью 2х постов в Telegram - канале на продаже туров на Мальдивы
И для этого понадобилось 0 руб дополнительного бюджета на рекламу, не понадобилось приводить новую аудиторию - все продажи на старой
Делюсь историями любимых клиентов:
Анна Андреева, основатель компании Персональный Тур
До: были продажи из тгк, но в основном по накатанной горящие туры Турция, Египет,…
📱 Как получать до 1000 заявок в месяц с помощью Telegram в 2026м?
Яхонтовые мои, собрала для вас 5 ключевых инструкций по поиску целевых клиентов и простых способов получения заявок - перешлите на свой канал
• Почему 90% предпринимателей не получают заявки в 2026м году ?
👇🏻👇🏻👇🏻
https://t.me/billions_mate/7231
• Как увеличить прибыль на 30% за 30 дней с помощью Telegram?
👇🏻👇🏻👇🏻
https://t.me/billions_mate/7147
• Ка…
🔥 +82 заявки за 2 дня
из 1 поста в канале психолога на 480 подписчиков
Делюсь историями любимых клиентов:
Екатарина Климова- психолог, расстановщик с богатым опытом в ~ 7 лет
До: канал на 480 подписчиков, заявок мало, продаж мало, выручка ~100 тыс.р.
Что сделали вместе?
• заранее прописали тарифы услуг, разработали форму продаж и скрипты на 1м zoom за 1,5 часа
• сформулировали 1 пост-оффер по моей авторской метод…
😎Как я создала >8.000 заявок и обеспечила оборот клиентов в 100.000.000₽ за год с помощью Telegram?
Привет 👋🏻 Давайте знакомиться 🌝
Марина Драницына @DMarinaTg
• Топ - маркетолог, занимаюсь online маркетингом с 2017г, в арсенале >3.000 проектов из 23х разных нишах
• Сделала запуск текстами и автооплатами в Telegram на >5.000.000₽ за 3 дня
• Мои экспертные статьи публиковал РБК Бизнес
Помогаю предпринимателям, собст…
меньше месяца развиваем канал клиента - риелтор по Московской недвижке, а уже получили больше 30 заявок на покупку квартир в Москве!!!
и + 1100 подписчиков в тгк
До этого в канале было 74 подписчика и 0 продаж 🌝
Но, Галина выбрала быть счастливой, стала моим клиентом и пошло 🚀🚀🚀
@DMarinaTg
🔥 Как получить 136 заявок за 7 дней и выйти на 1.146.400₽ за 1 месяц?
История клиента:
Юлия Эйрих - психолог, автор онлайн-академии «Арканология»
Точка А : зарабатывала меньше 200тыс в месяц и упахивалась 24/7 на консультациях за 3 тыс руб
Результат: из первого поста оффера, который мы вместе составили по моей методике, получила ~136 заявок за 7 дней 🔥
Сделала рекордные продажи на 1.146.400р за 30 дней + стала ра…
🔥2custom 52717623966402004922👍1🤣1
Showing the 12 most recent of 32 posts we hold for @billions_mate. 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.
Posts edited after publishing
@billions_mate edited 3 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
15 August 2026
Most recent edit
28 August 2026
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 7 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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
Психолог Марк Бартон @markbarton_mb · 88,659 Telegram ranks this channel #55 of 93 here — alongside 92 others — read 17 August 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 25 September 2026 — this
entry's latest reading, not the date you are reading this.
“Подружка Миллиардера” (@billions_mate), 15,047 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/billions_mate.
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.