Crypto & trading — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 12 September 2026 and assigned it the closest of 31 fixed categories, at 92% 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 the other topics.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear in near-verbatim form on 1 other registered channel. This entry also forms a group of 2 channels linked by matching posts. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (6 of the pairs behind the counts below)
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 1 of the 6 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.
“Published first” means first in this corpus. We hold 21 comparable posts for this entry, running 17 June 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Of the group of 2 channels, the one whose matching posts we hold earliest is @DmytroKovalevskyi. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_copy, last confirmed 11 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Channels linked by matching posts
This channel is in a group of 2 registered channels linked by matching posts. Links are found by comparing text fingerprints across every channel on the register.
Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
26 measurements spanning 94 days, net -431. 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 5,451–6,012 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)
Subscribers
Change
9 Nov 2026, 13:00
5,516
-14
6 Nov 2026, 13:51
5,530
-9
3 Nov 2026, 21:16
5,539
-10
31 Oct 2026, 20:08
5,549
-13
28 Oct 2026, 12:50
5,562
-11
25 Oct 2026, 12:25
5,573
-15
22 Oct 2026, 16:28
5,588
-17
19 Oct 2026, 09:30
5,605
-16
16 Oct 2026, 00:46
5,621
-15
13 Oct 2026, 10:06
5,636
-36
7 Oct 2026, 17:38
5,672
-31
30 Sept 2026, 22:42
5,703
-51
16 Sept 2026, 03:38
5,754
-16
12 Sept 2026, 01:59
5,770
-15
7 Sept 2026, 13:57
5,785
-22
2 Sept 2026, 09:16
5,807
-11
30 Aug 2026, 08:43
5,818
-14
27 Aug 2026, 09:09
5,832
-13
24 Aug 2026, 15:07
5,845
-14
20 Aug 2026, 21:03
5,859
first reading
Engagement
21 posts held, back to 17 June 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 9 pages of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 21 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
1m 44s
Average length
35s
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
21 reactions across 11 posts, in 5 distinct kinds. The most used accounts for 66.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
14
66.7%
❤
4
19.0%
⚡
1
4.76%
😁
1
4.76%
🫡
1
4.76%
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 11 of the 21 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 21 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 21 most recent posts we hold, published 17 June 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.
💥 Testnet от Push Protocol Part 11
➠ Что делать?
🔸 Переходим на сайт и подключаем EVM-кошелек
🔸 Проходим капчу и запрашиваем тестовые PC
🔸 Переходим на сайт и подключаем EVM-кошелек
🔸 Бриджим любой токен на любую сумму из Sepolia в Push Chain
🔸 Бриджим любой ≥ 20 USDT/USDC из Sepolia в Push Chain
🔸 Переходим на сайт и подключаем EVM-кошелек
🔸 Жмем «Create payment link» и создаем ссылку для оплаты через PUSD
🔸 Там же…
💥 Сохрани свои токены в Superposition
➠ Основные моменты:
🔹 Команда Superposition объявила о закрытии собственной сети и переходе на Arbitrum
🔹 При этом сам проект не прекращает работу. Теперь основное внимание будет уделено развитию рынка прогнозов 9lives
🔹 Superposition продолжит существовать как команда, создающая продукты в экосистеме Arbitrum
🔹 Сеть Superposition перестанет работать 8.09.2026 года. После этой д…
🔥 Airdrop от DappOS
DappOS - это Web3-операционная система на базе ИИ.
➠ Utility DOS:
🔻 Владельцы DOS смогут получать доступ к премиальным AI-функциям и расширенным возможностям платформы DAPPOS
🔻 Стейкинг DOS позволит получать дополнительные AI-кредиты для использования некоторых платных сервисов экосистемы
🔻 Токен можно будет использовать для оплаты комиссий внутри DAPPOS со скидкой по сравнению с другими криптов…
💥 Testnet от StripChain
StripChain - это протокол, который позволяет приложениям безопасно обмениваться данными и выполнять действия между разными блокчейнами.
Что делать?
🔸 Переходим на сайт и подключаем EVM-кошелек
🔸 После подключения кошелька нам автоматически создадут Strip Wallet
🔸 Копируем адреса и запрашиваем на них тестовые токены
🔻 Тестовые токены нужно запрашивать во всех доступных сетях
🔸 Отправляем любы…
💥 Testnet от LitVM Part 11
➠ Что делать?
🔸 Переходим на сайт, подключаем кошелек и добавляем сеть LitVM LiteForge
🔸 Переходим в кран и запрашиваем тестовые zkLTC
🔸 Переходим на сайт и подключаем EVM-кошелек
🔸 Жмем «Get test tokens» и запрашиваем тестовые mUSD
🔸 Совершаем сделки на фьючерсах, открывая Long/Short-позици
🔸 Переходим во вкладку «PREDICTIONS» и делаем прогнозы
🔸 Переходим на сайт и подключаем EVM-кошеле…
💥 Сохрани свои токены в ZERO Network
Zerion - это многофункциональный крипто-кошелек, поддерживающий множество блокчейнов.
➠ Основные моменты:
🔹 Команда продлила срок вывода средств из ZERO Network с 31 июля до 7 августа 2026 года
🔹 Причиной продления стало то, что в сети все еще остается около 500 тыс. активов, которые пользователи не вывели
🔹 Команда рекомендует как можно скорее вывести или перевести свои средств…
💥 Регистрация на airdrop от DappOS
DappOS - это Web3-операционная система на базе ИИ, которая помогает автоматизировать задачи в сфере разработки, исследований, маркетинга и торговли.
🔻 Критерии дропа пока не раскрыты, но потенциально под него могут попасть пользователи GMX, SyncSwap, QuickSwap, KyberSwap и других проектов, интегрированных в экосистему DappOS
🔻 Подключаем Twitter, кошелек и жмем «Submit registrati…
💥 Получаем сундуки Cambria
➠ Основные моменты:
🔹 Degen Score - оценивает нашу активность в блокчейне за последний год (транзакции, взаимодействие с проектами и т.д.)
🔹 Chad Score - оценивает стоимость и количество активов, которые находились на нашем кошельке за последний год
🔹 Чем выше наши показатели, тем больше сундуков мы получим и тем выше потенциальная награда из них
🔹 Сейчас мы можем только проверить количест…
💥 Testnet от Push Protocol Part 10
➠ Что делать?
🔸 Переходим на сайт и подключаем EVM-кошелек
🔸 Проходим капчу и запрашиваем тестовые PC
🔸 Переходим на сайт и подключаем EVM-кошелек
🔸 Жмем «Quickplay» и играем в шахматы
🔸 Делаем ставки на игры других игроков
🔻 Для выполнения заданий нам нужно:
🔹 Сделать как минимум 10 ставок на игры других игроков
🔹 Выиграть 5 или более ставок
🔹 Достигнуть рейтинга ЭЛО 1125 или выше…
💥 Testnet от Push Protocol Part 9
➠ Что делать?
🔸 Переходим на сайт и подключаем EVM-кошелек
🔸 Проходим капчу и запрашиваем тестовые PC
🔸 Переходим на сайт и подключаем EVM-кошелек
🔸 Жмем «Create payment link» и создаем ссылку для оплаты через PUSD
🔸 Там же во вкладке «Fixed» создаем ссылку для оплаты через PUSD+
🔸 Переходим во вкладку «Tip jar» и создаем ссылку для отправки чаевых
🔸 Переходим во вкладку «Split» и …
💥 Testnet от LitVM Part 10
LitVM - это L2-блокчейн от Litecoin, добавляющий ему функционал уровня современных блокчейнов без потери безопасности и без перехода на другую сеть.
➠ Что делать?
🔸 Переходим на сайт, подключаем кошелек и добавляем сеть LitVM LiteForge
🔸 Переходим в кран и запрашиваем тестовые zkLTC
🔸 Переходим на сайт и подключаем EVM-кошелек
🔸 Заполняем все поля и создаем свой токен
🔸 Переходим на сайт …
💥 Testnet от Canopy
Canopy - это L1-блокчейн, который позволяет быстро запускать собственные сети без глубоких знаний блокчейн-разработки.
Что делать?
🔸 Переходим на сайт и подключаем EVM-кошелек
🔸 Жмем «CONNECT X» и подключаем Twitter
🔸 Переходим на сайт и подключаем EVM-кошелек
🔸 Придумываем пароль и создаем тестовый кошелек
🔸 Переходим во вкладку «Faucet» и клеймим тестовые CNPY
🔸 Жмем «Create L1 chain» и создае…
👍4
Showing the 12 most recent of 21 posts we hold for @cryshara. 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.
Mentions
Named by 2 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.
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.
Haust Network Updates @haustnetwork · 91,049 Telegram ranks this channel #68 of 81 here — alongside 80 others — read 2 September 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 9 November 2026 — this
entry's latest reading, not the date you are reading this.
“CryptoShara” (@cryshara), 5,516 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/cryshara.
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.