Channel
@beerspot_spb
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
217subscribers
-1 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001383363657 |
|---|---|
| Type | Channel |
| Username | @beerspot_spb |
| Created | Between 1 March 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/beerspot_spb |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 07:26 | 217 | -1 |
| 7 Aug 2026, 07:47 | 218 | no change |
| 7 Aug 2026, 07:34 | 218 | first reading |
11 posts held, back to 4 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 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 7 of 9 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 | 11 (4 July 2026 – 6 August 2026) |
| Views total | 948 |
| Reactions total | 36 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 07:47 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.
40 reactions across 9 posts, in 13 distinct kinds. The most used accounts for 30.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 12 | 30.0% | |
| ❤ | 11 | 27.5% | |
| 👍 | 5 | 12.5% | |
| 🎉 | 2 | 5.00% | |
| 💩 | 2 | 5.00% | |
| ⚡ | 1 | 2.50% | |
| ✍ | 1 | 2.50% | |
| 🍾 | 1 | 2.50% | |
| 👏 | 1 | 2.50% | |
| 💘 | 1 | 2.50% | |
| 😁 | 1 | 2.50% | |
| 🤡 | 1 | 2.50% | |
| 🤮 | 1 | 2.50% |
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 9 of the 11 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 40reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 11 most recent posts we hold, published 4 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.
Когда-то давно (уже лет 6 назад) Руслан Slamius был первым биргиком, кого я сначала активно читал в Инсте, а затем познакомился вживую :) С тех пор Рус успел открыть (и продать) свой ботлшоп (олды здесь? Помните Craftport?) и затем плавно мигрировать в проект собственной пивоварни известной нам как Seagull Oleg Наверное многие из вас следят за приключениями чайки Олега и высматривают пасхалки и приколы на этикетках…
❤3💩1🤡1🤮1
Если вы биргик с Северо-Запада (как я хехе), безусловно вы в курсе о существовании крафтового проекта, который объединяет сразу два региона - Санкт-Петербург и Карелию. Конечно же я говорю о Snowcap Brewing! Проект с уже достаточно большой историей (лет 5 фигачат уж точно), который начинался когда-то в Петрозаводске, а затем понемногу мигрировал в град Петра, бережно относится к крафтовым традициям и никогда лично …
❤3⚡1💘1😁1
Когда я запускал блог в Инсте, а потом понемногу мигрировал сюда, я решил что если буду писать о напитках, то лишь о тех, которые достойны внимания и поддержки. Но к сожалению, кроме добросовестных участников рынка есть и те, кто абсолютно цинично паразитирует на привычных терминах - в данном случае сидр и мед. Зайдя в Пятерочку и увидев эти бутыли, я решил что кто-то еще из малых прорвался через закупочные комитет…
❤1👏1
В эту пятницу ПЯТЬ УГЛОВ захватывает краны Cockney! 31 июля с 20:00 наливаем наши сорта в баре Cockney на ул. Кустодиева, 5. Будет возможность попробовать несколько сортов ПЯТЬ УГЛОВ, пообщаться с нашей командой и провести вечер в хорошей компании. Если давно хотели познакомиться с нами — это отличный повод. До встречи у крана! 🍻
🔥2👍1
В ближайшую пятницу вечером вещаю на презентации новинок Углов, приходите, уважаемые читатели! :)
В последнее время редко в руки попадала Ostrovica, она будто бы доступна более-менее, но вот чтоб прям на глаза - нет. А тут прикупил по рабочим связям две свежих охмеленки от ребят и кайфанул. Когда-то с этой пивоварни я погружался в крафт, помню они и стауты делали хорошие и ипашки. Короче - вот два интересных экземпляра, один это сессионка с добавлением цитрусовой цедры Zester - очень освежающая, а вторая - клас…
Экскурсии по заводам это конечно хорошо, но главное движение в нашей сфере происходит, конечно на фестивалях Обращаю внимание, в ближайшие две субботы (завтра 25.07 и 01.08) состоятся два интересных события 25.07 (суббота) в 12:00 для посетителей откроет двери традиционный фестиваль гриля и напитков - Крутояр Жарить-Фест 2026, который вновь пройдет в пространстве ATL Некрасова, в Санкт-Петербурге 01.08 (суббота) в…
❤1👍1🔥1
Как говорится, не имей сто рублей, а имей сто друзей :) Старый знакомый Миша который ранее трудился на крафтовом рынке в различных проектах по найму, наконец-то в рамках собственного бренда Let Me Brew обрел собственное производство - куда сегодня пригласил с экскурсией :) Новые производства всегда впечатляют - свежий ремонт, куча блестящих железок - не стало исключением и здесь А еще в подарок насыпали немного со…
🔥9🎉2❤1🍾1💩1
Крафт-крафтом, но и классику забывать не стоит :)
❤2
Друзья из-за бугра и питерцы, бывавшие здесь, посоветовали зайти в одно из заведений Эмина Агаларова - называется BeerBasa (БирБаша) Это рестопаб, т.е. внутри там своя пивоварня. Но делают к сожалению только три сорта - светлое, темное и специальное (по стилю - красный эль). Пиво нефильтрованное, так что аля-крафт, хехе. В остальном это крутой ресторан с достаточно обширной кухней. Ну есть и настоечки, конечно :) П…
✍1
На днях в поисках просмотра футбола набрели на местный Finnegans, кажись единственный в Баку :) Был испит знаменитый ирландец, самое дорогое пока встреченное тут пиво, ценник 15.5 манат (обычная цена 0.5 тут примерно 5-8 манат), в пересчете на наши это около 790₽ Не только у нас импорт конски дорогой, оказывается хехе :) Интерьеры классические для ирландских пабов, все канонические символы, цвета и тд В целом нич…
👍3
Showing the 11 most recent of 11 posts we hold for @beerspot_spb. 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 — 1,286,546 of 1,478,351entries 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.
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.
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.
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“Владимир BeerSpot_Spb” (@beerspot_spb), 217 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/beerspot_spb.
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.