Channel
@NAHUIBROUKOV
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
375subscribers
-3 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002623056565 |
|---|---|
| Type | Channel |
| Username | @NAHUIBROUKOV |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 15 September 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 15 September 2026 |
| On Telegram | t.me/NAHUIBROUKOV |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Sept 2026, 21:39 | 375 | -1 |
| 9 Sept 2026, 05:58 | 376 | +1 |
| 23 Aug 2026, 14:33 | 375 | -3 |
| 6 Aug 2026, 20:18 | 378 | no change |
| 6 Aug 2026, 17:16 | 378 | first reading |
15 posts held, back to 1 August 2025 — 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 15 posts for this entry, the most recent from 25 March 2026. An engagement rate over an empty window would be a number about nothing.
139 reactions across 14 posts, in 12 distinct kinds. The most used accounts for 31.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 44 | 31.7% | |
| 🔥 | 36 | 25.9% | |
| 👍 | 24 | 17.3% | |
| 🤡 | 10 | 7.19% | |
| 🏆 | 8 | 5.76% | |
| 😁 | 4 | 2.88% | |
| 🤣 | 4 | 2.88% | |
| 🫡 | 3 | 2.16% | |
| ❤🔥 | 2 | 1.44% | |
| 🤯 | 2 | 1.44% | |
| 💯 | 1 | 0.719% | |
| 🤝 | 1 | 0.719% |
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 15 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 139 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 1 August 2025 to 25 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.
6 месяцев с выхода первого VSL и 5 месяцев с кейса на BroConf 6 30к$ —> 250к$ Пока клоуны смеются, а гуру дают интервью про ROI 30% на объеме в нутре и в 1000-й раз хоронят нишу... 🤌🤌🤌
🔥15🤡10🤣4❤3
📌Видео с крео из кейса выше. Бойлер переработал начало, сделав его более провокационным. Поменял идиотов на другое оскорбление и освежил текст селебрити и врача, что в итоге показало сильные цифры на всех ГЕО. Основываясь на опыте и том, что видел своими глазами - 95% команд выкладывают фейковые кейсы, мол наливают на статике 50к$ на транзитку, которой уже 8 лет. Не верьте таким кейсам. Нутра уже давно выглядит не…
🏆5🔥3🫡3
🟩 Кейс: 14 707$ с ROI 92,95% за два месяца с FB в Италии Наши партнеры из команды B&B поделились опытом работы с Hondorlife. Оффер за 2 месяца принес 14 707$ и ROI 92,95%. 🔲 Из кейса вы узнаете: — Как работать с гео, чтобы добиться лучших конверсий; — На какую аудиторию эффективнее всего работает скандальная связка; — Как тестировать связки и масштабироваться на аудитории 40-65+; — Каким способом адаптировать уже…
🔥2❤1👍1
Video, posted without a caption
❤4
File, posted without a caption
❤4
Video, posted without a caption
❤3
File, posted without a caption
❤4
Большая база по VSL и слив рабочих примеров. Как и обещал во время презентации - в канале адекватно и со всеми подробностями смогу рассказать про VSL. Тема не маленькая и пост будет длинным. Проанализировав все спендовые VSL в спае пришел к выводу что самые большие спенды есть там, где используют структуру Бенсона, чувака который по факту первым создал формат VSL и заработал на нём своим клиентам более 1 млрд$ (по …
❤9🏆3❤🔥2👍2💯1🤝1
VSL на диабет со спендом 2к/daily 👇👇👇
❤5
VSL со спендом 500$/daily 👇👇👇
❤5
Photo, posted without a caption
B&B на связи! С доклада на BroConf6 было много вопросов по VSL и Andromeda Сегодня я расскажу как андромеда повлияла на мой трафик и что я понял за время тестов. С презентации вы помните скрины того, как работает новая система оптимизации (1-3 скрины) Краткое описание Andormeda: Изучив справку от ФБ пришел к выводу что теперь система персональных рекомендаций находит вашу ЦА по более чем 10.000 параметров. Раньше о…
👍13❤5
Showing the 12 most recent of 15 posts we hold for @NAHUIBROUKOV. 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.
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.
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 15 September 2026 — this entry's latest reading, not the date you are reading this.
“B&B TEAM” (@NAHUIBROUKOV), 375 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/NAHUIBROUKOV.
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.