Crypto & trading — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 9 August 2026 and assigned it the closest of 31 fixed categories, at 98% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
7 measurements spanning 5 days, net -1,333. 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 142,382–144,115 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 19:48
142,582
-251
11 Aug 2026, 20:45
142,833
-189
10 Aug 2026, 20:27
143,022
-372
9 Aug 2026, 21:17
143,394
-310
8 Aug 2026, 20:38
143,704
-106
7 Aug 2026, 22:15
143,810
-105
7 Aug 2026, 12:45
143,915
first reading
Engagement
24 posts held, back to 24 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 16 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
1.09%
avg views ÷ 142,582 subscribers
Avg views / post
1,550
20 posts measured
Reaction rate
1.23%
reactions ÷ views · ER floor
Posts in window
24
of 24 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. It is computed over the 19 of 20 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 11 August 2026
Posts held
24 (24 July 2026 – 11 August 2026)
Views total
31,030
Reactions total
361
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 18:13 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
361 reactions across 19 posts, in 26 distinct kinds. The most used accounts for 32.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
116
32.1%
👍
84
23.3%
❤
63
17.5%
👀
18
4.99%
👏
10
2.77%
🙊
10
2.77%
😁
9
2.49%
💊
8
2.22%
👌
6
1.66%
🤯
5
1.39%
🎉
4
1.11%
😱
4
1.11%
⚡
3
0.831%
🙈
3
0.831%
🙏
3
0.831%
🏆
2
0.554%
🐳
2
0.554%
💯
2
0.554%
🤷
2
0.554%
✍
1
0.277%
6 further kinds
6
1.66%
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 19 of the 24 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 361reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 24 most recent posts we hold, published 24 July 2026 to 11 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.
17/50. Bored Apes не смогли победить CryptoPunks по истории, поэтому решили изменить правила игры.
В 2021 году CryptoPunks уже были легендой. Они появились ещё в 2017 году, их узнавали в криптомире, а некоторые коллекционеры считали их почти цифровыми артефактами. Поэтому когда появились Bored Apes, казалось, что им остаётся только одно, попытаться сделать более красивую коллекцию и надеяться, что люди переключатся.…
16/50. Coinbase построила Base без запуска токена и превратила своих пользователей в главное преимущество.
Когда Coinbase запустила Base в 2023 году, рынок уже был переполнен Ethereum Layer 2. Arbitrum, Optimism и десятки других сетей боролись за разработчиков, пользователей и ликвидность, а большинство из них пытались выиграть примерно одинаково, обещая быстрые транзакции, низкие комиссии и токен, который когда-ниб…
15/50. MicroStrategy была скучной IT-компанией на $1 млрд, пока Майкл Сэйлор не поставил всё на биткоин.
В 2020 году MicroStrategy была вполне успешной IT-компанией, которая продавала корпоративный софт и стоила около $1 млрд. Проблема была в другом: рынок почти не ждал от неё ничего интересного. Компания много лет двигалась примерно в одном направлении, её бизнес оставался примерно тем же, а акции почти не менялись…
14/50. Terra построила экосистему почти на $40 млрд вокруг одного числа, 20%.
Представьте, что банк говорит вам: «Положите деньги на депозит, и мы будем платить 20% годовых». Скорее всего, вы решите, что это мошенничество. Но несколько лет назад именно такое предложение привело в крипту миллионы людей.
В центре этой истории было одно число, 20%. Если быть совсем точным, Anchor платил 19,45% годовых, но для всего ры…
13/50. NBA продавала баскетбольные хайлайты на $200 млн в месяц, хотя их можно было бесплатно посмотреть на YouTube.
Есть вещи, которые, кажется, невозможно продать. Например, короткое видео, которое уже лежит на YouTube. Но однажды NBA начала продавать победные броски, данки Леброна, трёхочковые Карри и другие хайлайты матчей, а всего через несколько месяцев оборот этой идеи превысил $200 млн в месяц.
В то время п…
12/50. Blur забрал почти 80% рынка OpenSea, сознательно проигнорировав 90% пользователей NFT.
К началу 2022 года OpenSea казался непобедимым. Это был главный маркетплейс NFT с миллиардами долларов торгового объёма, миллионами пользователей и сотнями миллионов долларов, привлечённых от инвесторов. Все новые конкуренты пытались выиграть по одному и тому же сценарию: сделать интерфейс чуть удобнее, немного снизить коми…
11/50. Polygon получила Starbucks, Nike и Reddit в клиенты, и никто из них не мог по настоящему оценить ее технологию.
Polygon начиналась в 2017 году как Matic Network, ее построили 3 инженера из Индии, и сама история основателей стоит отдельного рассказа. Джаянти Канани, ведущий основатель, сын рабочего алмазной фабрики из Ахмедабада, вырос в доме из 1 комнаты, и оттуда команда построила одного из первых индийских …
10/50. CryptoPunks раздали все 10,000 картинок бесплатно, а отдельные экземпляры позже продавались дороже 20 миллионов долларов.
В 2017 году два канадских разработчика, Мэтт Холл и Джон Уоткинсон, держали маленькую студию Larva Labs, которая делала мобильные приложения. В качестве побочного эксперимента они сгенерировали 10,000 пиксельных лиц, вдохновленных лондонской панк сценой, и разрешили любому забрать их беспл…
09/50. Hyperliquid раздал пользователям больше $1 млрд за один день и доказал, что лучший маркетинг иногда вообще не похож на маркетинг.
К 2024 году у крипты появилась проблема, которую все знали наизусть. Проект привлекает деньги венчурных фондов, выпускает токен, а потом годами рынок живёт под давлением дешёвых монет ранних инвесторов. Пользователи финансируют выход тех, кто вошёл раньше них.
Hyperliquid решил по…
08/50. Программист заплатил 10,000 биткоинов за 2 пиццы, по сегодняшним ценам это больше 1 миллиарда долларов, и крипта превратила худшую сделку в истории в свою лучшую ежегодную маркетинговую кампанию.
22 мая 2010 года программист из Флориды по имени Ласло Ханец написал на форуме о Bitcoin, что заплатит 10,000 биткоинов любому, кто привезет ему 2 пиццы. Ласло не был случайным пользователем: он был одним из самых ра…
👍12❤5🔥4🙊3🤣1😁1
Showing the 12 most recent of 24 posts we hold for @Bogdan_and_Xena_ru. 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.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none.The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100.Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 24 most recent posts we hold, published 24 July 2026 to 11 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Citation-graph rank
Citation-graph rank — 32,865 of 1,151,006entries 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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
The Shadow Order @theshadoworder · 308,767 Telegram ranks this channel #21 of 88 here — alongside 87 others — read 11 August 2026
Hedgehog in the fog @hedgehoginthefogen · 269,700 Telegram ranks this channel #48 of 85 here — alongside 84 others — read 10 August 2026
This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Domains linked from posts
2 domainsthis channel’s own posts have linked to, measured by scanning the post bodies themselves — not the channel’s description, which is the separate Declared links section below when this entry has one. Appearing here is not a claim about who runs the linked site or why the channel linked to it; an advertisement, a news citation and a malicious link all leave the same kind of row.
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.
“Bogdan & Xena RU” (@Bogdan_and_Xena_ru), 142,582 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/Bogdan_and_Xena_ru.
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.