Telegram RegisterThe public register of Telegram

Channel

Петя из БЮРО

@petefrombureau

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

1,601subscribers

-2 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-1002193841405
TypeChannel
Username@petefrombureau
CreatedBetween 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/petefrombureau

Growth

1,6011,6041,602.56 August 2026 — 1,603 subscribers6 August 2026 — 1,603 subscribers7 August 2026 — 1,604 subscribers10 August 2026 — 1,603 subscribers12 August 2026 — 1,601 subscribers6 August 202612 August 2026
5 measurements spanning 6 days, net -2. 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 1,601–1,604 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 22:471,601-2
10 Aug 2026, 00:541,603-1
7 Aug 2026, 02:111,604+1
6 Aug 2026, 18:011,603no change
6 Aug 2026, 17:491,603first reading

Engagement

10 posts held, back to 20 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
64.2%
avg views ÷ 1,601 subscribers
Avg views / post
1,030
10 posts measured
Reaction rate
7.20%
reactions ÷ views · ER floor
Posts in window
10
of 10 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
WindowRolling 30 days · latest post in window 4 August 2026
Posts held10 (20 July 20264 August 2026)
Views total10,280
Reactions total740
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 17:57 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
1m 18s
Average length
26s

Measured directly from 3 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

740 reactions across 10 posts, in 14 distinct kinds. The most used accounts for 63.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
47263.8%
🔥14319.3%
💯567.57%
❤‍🔥202.70%
🤣162.16%
🤯70.946%
👍60.811%
😍50.676%
💔30.405%
💩30.405%
😁30.405%
20.27%
👏20.27%
😢20.27%

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 10 of the 10 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 740reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 10 most recent posts we hold, published 20 July 2026 to 4 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

4 Aug 2026, 07:23 UTC638 views78 reactionsread 7 August 2026
Photo

Вот говорят - счастье ощущается в моменте. Прикиньте я проснулся загородом, в Комарово. Взял рюкзак, сел на любимый шоссик. Сейчас 10 утра, на улице солнышко, я сижу в Сестрорецке, с кофе и книжкой, в которую (наконец-то!) нормально погрузился с головой. Жесть) Две мысли: 1. С годами начинаешь понимать значение слова «благодать». Вот это английско-американское «feeling blessed”. Когда испытываешь трепет от того, ч

68❤‍🔥9👏1

3 Aug 2026, 11:20 UTC777 views65 reactionsread 7 August 2026
Video

Сделали для ТАО фирменные слюнявчики с кашалотиком. Предлагаем их к супам. Вот вы скажете - новость высосана из пальца, а я соглашусь) Но «дьявол в деталях» реально мой любимый разгон про работу общепита) В таких мелочах и проявляется забота.

48🔥152

2 Aug 2026, 15:25 UTC822 views77 reactionsread 7 August 2026
Video

Зацените этот летний вайб! Мой друг и партнер Женя проставил своим друзьям 50 бургеров для летнего похода. Ребята взамен наснимали кучу контента на природе, а мы смонтровали рилсик. Все-таки вот эти самодельные бургеры на открытом огне это вышка. Пока лето не кончилось спрашивайте - упакуем все ингредиенты в лучшем виде!

51🔥18❤‍🔥4👍3😍1

31 Jul 2026, 08:53 UTC963 views52 reactionsread 7 August 2026
Photo

Продуктовые коллабы Так кайфанул от футбольной коллекции дрипов от «Сварщицы». Смотрите какую конфету сделали ребята к чемпионату мира. Шикарный пример для нас всех. Столько всяких деталей, карточки про сборные, всякие мелочи интересные. Реально ощущение как от игрушки в детстве. Как клевая настолка. В конце вообще финиш - карта чемпионата, где можно вклеивать флаги стран по ходу турнира. Ну просто лучшие. А ты вс

🔥34💯135

28 Jul 2026, 11:29 UTC≈1,090 views112 reactionsread 7 August 2026
Video

Душевный контент Есть у нас одна история, которая с одной стороны максимально простая, но с другой очень классная и теплая - в Пинче есть сотрудник Диля, которая с открытия работает с нами, уже более 10(!) лет. Все, кто из индустрии, наверняка поймет насколько это крутое исключение из правил. Подсмотрели контент у кофемании и строганова. И тоже сняли видео про нашу легенду❤️ И вообще так здорово рассказывать истор

87🔥18❤‍🔥7

23 Jul 2026, 18:02 UTC≈1,340 views63 reactionsread 7 August 2026
Photo

Увидел у Карины в «гастрофурии» фото с открытия JPan в Петербурге и реально проорал. Да, классные ребята, в Москве там вкусно. Но! объясните мне, что должно смотивировать людей стоять ТАКУЮ очередь? Я искренне не понимаю как можно в *просто хорошую кафешку* стоять как на показ Монализы. Неужели всем настолько нечем заняться?

💯36🤣9🤯74💩3😢2👏1🔥1

22 Jul 2026, 09:53 UTC≈1,180 views43 reactionsread 7 August 2026
Photo

Многих вдохновил мой пост про фильм ПитерФМ. Очень приятно было вместе вспомнить Петербург нулевых. А вот сегодня моя подруга Таня, которая делает беговое сообщество “SputnikRun” пригласила меня на тематическую беговую экскурсию по этому фильму. Просто ВАУ, не думая ни минуты с радостью делюсь этим здесь. Кажется это идеальный план на воскресенье Подробности у ребят в канале

33🔥7👍3

21 Jul 2026, 10:26 UTC≈1,130 views78 reactionsread 7 August 2026
Photo

Поработал сам у себя тайным гостем. Забавно наверное смотрелся помятый бородатый мужик в дачной одежде, одиноко поедающий хеппи мил. Чисто заготовка для стреляющего рилса) Отдельно тронул соседний столик, где мальчик, после того как съел бургер, забрал помимо игрушки пустую коробочку домой 💔

57🔥8🤣7💔3😁3

21 Jul 2026, 08:09 UTC≈1,120 views93 reactionsread 7 August 2026
Photo

Хэппи мил Ну наконец-то)) Сделали детскую коробку с игрушкой, по мотивам той самой квадратной игры! Есть два интересных момента: 1. Оцените уровень - бургер тоже квадратный) со специальной квадратной булочкой! Не знаю как Стас шеф терпит все наши хотелки… 2. В рилсе к запуску снялись наши с Темой и Жекой дети - Коля, Ваня и Алиска ❤️. Получилось очень мило. Мелочь, но важная, у нас реально семейный бизнес) PS дост

65🔥24😍4

20 Jul 2026, 16:41 UTC≈1,220 views79 reactionsread 7 August 2026
Photo

А помните историю про чувака который готовил и продавал пиццу прямо дома? Я тогда написал пост про него и мнения в комментариях разделились на условных два лагеря: 1. Вау что так можно было? Как круто, вдохновляет! 2. Где нормы стандарты, это детский сад, а не бизнес. Шляпа. Прошло пару месяцев. Илья с товарищем открыл хайповое место с сендвичами на Некрасова: очереди, солд-аут, блогеры, собака.ру… Так вот, теперь

54🔥18💯7

Showing the 10 most recent of 10 posts we hold for @petefrombureau. 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 — 558,830 of 1,345,403entries 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 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.

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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“Петя из БЮРО” (@petefrombureau), 1,601 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/petefrombureau.

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.