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Channel

гапý 🫖

@gapu_teaclub

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

1,108subscribers

+0 since we began measuring on 13 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1002464806929
TypeChannel
Username@gapu_teaclub
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded13 August 2026
Last confirmed live14 August 2026
Measurements held2
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/gapu_teaclub

Growth

1,10813 Aug 2026, 12:46 — 1,108 subscribers14 Aug 2026, 01:04 — 1,108 subscribers13 Aug 2026, 12:4614 Aug 2026, 01:04
2 measurements taken within a single day. 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 1,107–1,109 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 01:041,108no change
13 Aug 2026, 12:461,108first reading

Engagement

14 posts held, back to 14 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 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
38.9%
avg views ÷ 1,108 subscribers
Avg views / post
430
13 posts measured
Reaction rate
1.79%
reactions ÷ views · ER floor
Posts in window
13
of 14 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 10 August 2026
Posts held14 (14 July 202610 August 2026)
Views total5,596
Reactions total100
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Aug 2026, 12:46 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 25s
Average length
43s

Measured directly from 2 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

116 reactions across 14 posts, in 4 distinct kinds. The most used accounts for 44.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 54723515642303156745144.0%
🔥2723.3%
👏2420.7%
custom 54292791239251308121412.1%

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 areTelegram’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 14 of the 14 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 116reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 14 most recent posts we hold, published 14 July 2026 to 10 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

10 Aug 2026, 12:34 UTC228 views11 reactionsread 13 August 2026
Photo

потому что не каждый напиток умеет менять состояние. 💻десятки открытых вкладок, уведомления, бесконечный поток информации и голова почти не выключается. чай становится способом немного замедлиться, переключить внимание и снова сосредоточиться на одном моменте. и если кофе уже больше похож на попытку срочно «включиться», чай работает иначе. сочетание кофеина и L-теанина дает более мягкую концентрацию без ощущения, ч

🔥6custom 54723515642303156745

7 Aug 2026, 10:58 UTC339 views15 reactionsread 13 August 2026
Video

про какой чай рассказываем в следующий раз? 👩‍❤️‍👨

custom 547235156423031567410custom 54292791239251308125

3 Aug 2026, 05:48 UTC570 views8 reactionsread 13 August 2026
Photo

в Гапý открыта вакансия повара. резюме отправляйте по номеру: +7 923 123 77 23

👏4🔥4

2 Aug 2026, 10:30 UTC509 views11 reactionsread 13 August 2026
Photo

розыгрыш завершен 🧧 спасибо каждому, кто провел эти праздничные дни вместе с нами, приходил на чай, разделял атмосферу Гапу́ и стал частью праздника. мы с радостью объявляем победителей: сертификат в Гапу́ на 10 000 ₽ — Юлия vk.com/julia.blacksmiths индивидуальная чайная церемония — Григорий @c4ntsayifimsane чайный набор из нашей коллекции — Андрей @nevraghdom поздравляем победителей! до встречи в Гапу́.

custom 54723515642303156746custom 54292791239251308123👏2

2 Aug 2026, 08:41 UTC427 views4 reactionsread 13 August 2026
Video message

Video message, posted without a caption

👏4

2 Aug 2026, 08:40 UTC381 views5 reactionsread 13 August 2026
Video message

Video message, posted without a caption

🔥5

2 Aug 2026, 08:39 UTC373 views4 reactionsread 13 August 2026
Video message

Video message, posted without a caption

👏3custom 54723515642303156741

2 Aug 2026, 04:23 UTC425 views6 reactionsread 13 August 2026
Photo

в августе в Гапу́ вас ждут чайные мероприятия, вечер дегустации и кино. музыка и день рождение чайного дома. бронирование мероприятий: +7 (923) 123-77-23 или direct

custom 54723515642303156744🔥1custom 54292791239251308121

30 Jul 2026, 13:49 UTC445 views3 reactionsread 13 August 2026
Photo

🎶 02.08. | 19-22:00 GERA DZHIO — музыкальный продюсер, диджей и коллекционер музыки. более двадцати лет он исследует звучание разных культур и жанров: от джаза и инструментального хип-хопа до современной электронной музыки. в разные годы GERA DZHIO сотрудничал и записывал музыку с такими артистами, как Триагрутрика, Chemodan Clan и Рыночные Отношения. каждый его сет это цельное музыкальное повествование. в это во

custom 54723515642303156743

27 Jul 2026, 15:56 UTC528 views20 reactionsread 13 August 2026
Photo

с 26 июля по 1 августа включительно каждый чек при оплате стола становится участником праздничного розыгрыша! ПОДАРКИ🧧 • сертификат в Гапу́ на 10 000 ₽; • индивидуальная чайная церемония; • чайный набор из нашей коллекции. 1 августа в Гапу́ будет весь день звучать винил, а мы будем рады провести этот праздник вместе с вами. 2 августа подведем итоги розыгрыша. ⛩️ Урицкого, 36 до встречи за чаем.

custom 547235156423031567412🔥4👏3custom 54292791239251308121

Showing the 12 most recent of 14 posts we hold for @gapu_teaclub. 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 — 1,166,901 of 1,481,217entries 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.

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.

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

“гапý 🫖” (@gapu_teaclub), 1,108 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/gapu_teaclub.

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.