Telegram RegisterThe public register of Telegram

Channel

Snake Club 🐍

@openyourmemories

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

1,777subscribers

-8 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-1002391251442
TypeChannel
Username@openyourmemories
CreatedBetween 1 September 2024 and 31 March 2025— 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/openyourmemories

Growth

1,7741,7851,779.56 August 2026 — 1,785 subscribers6 August 2026 — 1,785 subscribers6 August 2026 — 1,784 subscribers9 August 2026 — 1,774 subscribers12 August 2026 — 1,777 subscribers1,7776 August 202612 August 2026
5 measurements spanning 7 days, net -8. 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 1,772–1,787 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 22:181,777+3
9 Aug 2026, 16:011,774-10
6 Aug 2026, 08:511,784-1
6 Aug 2026, 06:521,785no change
6 Aug 2026, 05:341,785first reading

Engagement

18 posts held, back to 31 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
6.72%
avg views ÷ 1,777 subscribers
Avg views / post
119
18 posts measured
Reaction rate
55.4%
reactions ÷ views · ER floor
Posts in window
18
of 18 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 7 August 2026
Posts held18 (31 July 20267 August 2026)
Views total2,148
Reactions total1,189
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 17:31 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.

Reaction mix

644 reactions across 11 posts, in 8 distinct kinds. The most used accounts for 28.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 519719469916045931418028.0%
🍓17427.0%
custom 519527358605876081713721.3%
13721.3%
🕊60.932%
custom 534150165323110771040.621%
custom 530985874796579614630.466%
🐳30.466%

Custom emoji. 4 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 18 of the 18 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 1,189reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 31 July 2026 to 7 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

7 Aug 2026, 16:21 UTC28 views16 reactionsread 7 August 2026

Posted without readable text

🕊6custom 53415016532311077104🐳3custom 53098587479657961463

7 Aug 2026, 13:12 UTC56 views38 reactionsread 7 August 2026
Photo

🤍🤍🤍🤍🤍🤍🤍🤍🤍 〰️〰️〰️〰️〰️〰️〰️〰️〰️〰️〰️ 🐸 Да неужели открыли предзаказ на третью часть «Ассистентки и злодея» Ханны Николь Мерер — «Сообщница злодея»! Мне кажется, что прошлую книгу я больше года назад читала, хорошо бы концовку вспомнить. 🐸 Вот поэтому не люблю читать циклы, пока не вышли все части, начинаешь забывать детали. Ценник на книгу немножко конский, подкоплю бонусов, ахах. 💔Читали цикл? Любите ромфэнтези? #snakec

🍓14custom 51952735860587608171110custom 51971946991604593143

7 Aug 2026, 11:26 UTC64 views52 reactionsread 7 August 2026
Photo

🤩🤩🤩🤩🤩🤩 🤩🤩🤩🤩🤩🤩🤩🤩 🤩🤩🤩 🤩🤩🤩🤩🤩🤩 🤩🤩🤩🤩🤩🤩 ▫️В старину преступников вешали на перепутье Четырех Дорог. Но это было давно. Теперь убийца расплачивается за свое преступление в Бодмине на основании приговора, вынесенного судом присяжных. Разумеется, если совесть не убьет его раньше. Так лучше. Похоже на хирургическую операцию. Тело, как положено, предают земле, хоть и в безымянной могиле. В прежние вр

17🍓15custom 519719469916045931414custom 51952735860587608176

7 Aug 2026, 09:01 UTC71 views61 reactionsread 7 August 2026
Video

🤩🤩🤩 🤩🤩🤩🤩🤩🤩 🤩🤩🤩🤩🤩🤩 🤩🤩🤩🤩🤩 🤩🤩🤩🤩🤩🤩🤩 вдова, поместье, увлечение, одержимость, болезнь, обманутые ожидания, ложь, желанная женщина, брат, любовь 🖤🖤Книга, которая кучу раз 🖤🖤🖤обманула мои чувства. 🖤🖤🖤Мой книжный долг за июнь и та, о которой я долго не могла написать, потому что эмоции были смешанные, но это было хорошо! 🤩🤩🤩🤩🤩 🤩🤩🤩🤩🤩 Филиппа, который рано потерял родите-лей, воспитал д

custom 519527358605876081722custom 51971946991604593141815🍓6

6 Aug 2026, 08:39 UTC107 views72 reactionsread 7 August 2026
Photo

🤩🤩🤩🤩🤩 🤩🤩🤩🤩🤩 🩶🩶🩶🩶🩶🩶🩶🩶🩶🩶🩶 Покажу потихоньку то, что у меня было куплено/подарено за конец июня и июль, а то целая гора уже скопилась у кровати на пост :) 🔠🔠🔠🔠🔠🔠🔠🔠🔠🔠🔠 🔠«Избушка на костях», Ксения Власова. Подгон от студента на окончание учебного года. Спасибо Лёня! Мрачное славянское фэнтези с любимой злодейкой Ягой. 🔠«Морфо» и «Мертвая голова», Амелия Грэмм. Первая и вторая части трилогии «Хроники Инферсити». Где-то г

custom 519719469916045931426custom 519527358605876081721🍓196

5 Aug 2026, 18:32 UTC112 views72 reactionsread 7 August 2026
Photo

🔠🔠🔠🔠🔠🔠 🔠🔠🔠🔠🔠🔠🔠🔠 🤩🤩🤩🤩🤩🤩 🤩🤩🤩🤩 ▫️Все это – и громкие слова, что ты можешь все, и все тебе дозволено, и всего добьешься, стоит только захотеть, – дерьмо собачье, которое показывают в рекламе прокладок по центральному телевидению. Тех, кто говорит такое, нужно казнить, как в Древнем Китае, бамбуком. ▫️— Говорят, первый будильник нужен для человека, которым ты мечтаешь стать, – невинно прокомментировала Констанс, – а

custom 51971946991604593142521🍓20custom 51952735860587608176

5 Aug 2026, 16:41 UTC116 views80 reactionsread 7 August 2026

Posted without readable text

custom 519719469916045931426🍓2321custom 519527358605876081710

5 Aug 2026, 15:18 UTC105 views54 reactionsread 7 August 2026
Photo

💗 Ооо какой миленький постер выпустили к экранизации «Гипотезы любви» от Али Хейзелвуд! Очень жду фильм + мне нравится Лили Рейнхарт, как актриса. ⭐️ Будете смотреть фильм? Читали книгу? #snakeclub2026 #гипотзеалюбви #snakeclubcinema #алихейзелвуд

🍓20custom 51952735860587608171711custom 51971946991604593146

4 Aug 2026, 10:38 UTC140 views71 reactionsread 7 August 2026
Video message

Video message, posted without a caption

custom 519719469916045931422🍓20custom 51952735860587608171811

4 Aug 2026, 10:30 UTC146 views65 reactionsread 7 August 2026
Video message

Video message, posted without a caption

19🍓18custom 519719469916045931418custom 519527358605876081710

4 Aug 2026, 10:29 UTC158 views63 reactionsread 7 August 2026
Photo

🤩🤩🤩🤩🤩🤩🤩🤩🤩 🤩🤩🤩🤩🤩🤩🤩🤩🤩🤩🤩 Вы просто посмотрите, ЧТО я получила от мастерской переплетов Selina.A ~ 🤩 🤩 Я влюбилась в это оформление с тех пор, как мне попалось видео в рилсах с ним и как же я была рада, что попадаю в список на заказ! 🤩 Это просто невероятно, просто слов благодарности за красоту тут мало. Книга прям вовремя пришла - я как раз начала читать «Проект Аве Мария» ~ 🤩 🤩 Я теперь даже не знаю, куда поставить кни

custom 519719469916045931422🍓19custom 5195273586058760817166

3 Aug 2026, 14:22 UTC≈119 views24 reactionsread 6 August 2026
Forwarded from @veronabooks777Photo

🤩🤩🤩🤩🤩🤩🤩🤩 Дарим двум нашим подписчикам сертификаты на ozon ( можно заменить на wb) в подарок 🤩 🤩 сертификат 2000р 🤩 сертификат 1000р 🪶🤩🤩🤩🤩 🔴 подписка на нас 🌀Мир книжной змейки 🌀Snake Club 🌀Ира Бранд | пишу и читаю 🌀Хоббанутая в здании 🌀Борисовна, ты была права 🌀Дневник гармонии жизни ✔️ оставляем 1️⃣ номерок у Книжной змейки(следите чтобы они не повторялись) ✔️ если сделаете репост 3 друзьям (приложив скрины

Showing the 12 most recent of 18 posts we hold for @openyourmemories. 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 — 238,289 of 1,189,255entries 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.

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.

Mentions

Named by 10 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.

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.

“Snake Club 🐍” (@openyourmemories), 1,777 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/openyourmemories.

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.