Acala и Karura (Kusama), тоже покидают борт аншей дружной, крипотвой тусы. Каждый день кто-то покидает чат. Как теперь жить без Acala?
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Channel
@CryptoEarnImp
On this record: Topic · Growth · Engagement · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cite this entry
27,323subscribers
-1,699 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001454879562 |
|---|---|
| Type | Channel |
| Username | @CryptoEarnImp |
| Created | Between 1 April 2019 and 31 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 11 November 2026 |
| Measurements held | 67 |
| Confirmed unchanged | 1 time, most recently 11 November 2026 |
| On Telegram | t.me/CryptoEarnImp |
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 10 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Nov 2026, 15:39 | 27,323 | -28 |
| 9 Nov 2026, 22:01 | 27,351 | -34 |
| 8 Nov 2026, 14:00 | 27,385 | -21 |
| 7 Nov 2026, 10:09 | 27,406 | -4 |
| 6 Nov 2026, 11:36 | 27,410 | -9 |
| 5 Nov 2026, 14:24 | 27,419 | -12 |
| 4 Nov 2026, 16:05 | 27,431 | -5 |
| 3 Nov 2026, 18:09 | 27,436 | -9 |
| 2 Nov 2026, 21:21 | 27,445 | -14 |
| 1 Nov 2026, 22:17 | 27,459 | -25 |
| 1 Nov 2026, 01:51 | 27,484 | -34 |
| 30 Oct 2026, 22:20 | 27,518 | -27 |
| 29 Oct 2026, 18:58 | 27,545 | -18 |
| 28 Oct 2026, 16:56 | 27,563 | -14 |
| 27 Oct 2026, 14:57 | 27,577 | -16 |
| 26 Oct 2026, 11:46 | 27,593 | -13 |
| 25 Oct 2026, 13:16 | 27,606 | -18 |
| 24 Oct 2026, 15:28 | 27,624 | -9 |
| 23 Oct 2026, 13:29 | 27,633 | -6 |
| 22 Oct 2026, 13:55 | 27,639 | first reading |
34 posts held, back to 12 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 155 pages of 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.
| Window | Rolling 30 days · latest post in window 10 November 2026 |
|---|---|
| Posts held | 34 (12 June 2026 – 10 November 2026) |
| Views total | 40,530 |
| Reactions total | 395 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 11 Nov 2026, 15:12 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.
907 reactions across 34 posts, in 23 distinct kinds. The most used accounts for 23.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 😁 | 212 | 23.4% | |
| 🥴 | 174 | 19.2% | |
| 👍 | 164 | 18.1% | |
| ❤ | 133 | 14.7% | |
| 🔥 | 74 | 8.16% | |
| 🥱 | 34 | 3.75% | |
| 💯 | 16 | 1.76% | |
| 👏 | 15 | 1.65% | |
| 🤩 | 15 | 1.65% | |
| 😢 | 13 | 1.43% | |
| 🫡 | 12 | 1.32% | |
| 🎉 | 10 | 1.10% | |
| ❤🔥 | 9 | 0.992% | |
| 😐 | 7 | 0.772% | |
| 🤝 | 5 | 0.551% | |
| 😍 | 4 | 0.441% | |
| 🐳 | 3 | 0.331% | |
| 🕊 | 2 | 0.221% | |
| 🏆 | 1 | 0.11% | |
| 👌 | 1 | 0.11% | |
| 3 further kinds | 3 | 0.331% |
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 34 of the 34 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 907 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 34 most recent posts we hold, published 12 June 2026 to 10 November 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @CryptoEarnImp. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 34 most recent posts we hold for this entry, published 12 June 2026 to 10 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Telegram’s own ‘edited’ marker: 1 of 6 posts held from the last 30 days (16.7%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Acala и Karura (Kusama), тоже покидают борт аншей дружной, крипотвой тусы. Каждый день кто-то покидает чат. Как теперь жить без Acala?
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Galxe закрывает Quest, ID и Passport. Конец бесконечным квестам, прокликиваниям и обновлениям чтоб квест засчитался.
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Кто болел за демократов? Поздравляем!
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Если появятся вакансии в Lazarus Group, надо подать резюме.
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Бычка для хакеров. Мы ждём сезона, а бабки поднимают они.
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Рубрика #закрывается или #проектопад. Сегодня у нас на очереди Blur и Blast Проект который в свое время сыпанул достаточно неплохо, где торговалась большая часть NFT на эфире, не вывез. 2 октября также о закрытии написал и Blast. Кто еще держит там деньги следует вывести. Вообще этот год довольно богат на проектопадения, до этого мы писали про Abstract. Но кроме него были еще BitMEX, AscendEX, Binance NFT, NFTfi.
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Mantle расширяет доступ к институциональным рынкам Как мы писали ранее, Franklin Templeton (управляющая активами на $1,7 трлн) активно присутствует на Mantle через токенизированный ETF. История получает продолжение. Bybit и Franklin Templeton объявили о стратегическом сотрудничестве в сфере RWA. В рамках этой истории на Mantle появится ончейн-инвестпродукт, который даст криптанам доступ к стратегиям Franklin Temple…
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Проектопад. Abstract вышел из чата Команда объявила, что сворачивает сеть. Объяснение довольно типичное и если в двух словах, не вывезла экономику. Если у вас там остались активы - выводим до 15 декабря. После, сеть остановят. Migration Hub — основной вариант Native Bridge — тоже можно, но занимает ±3 часа Чем же нам, обычным криптанам заполнился проект: $11 млн инвеста + полтора года ХП-фарма + сотни миллионов т…
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Whitelist от Jumper Jumper (cross-chain swap/bridge агрегатор) запустили вайтлист. Сегодня (спасибо за поправку @intelligent_ua) кстати мейннет Arc, можно будет бриджить через Jumper. На фоне хайпа вокруг RH Chain / tokenized stocks / RWA там возможно будут какие то лудки.
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gnopulse.xyz. Gno.land airdrop Можно чекнуть старые космосовские кошельки на дроп. Если что-то есть, то с вестингом до 28 года)
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Arc - обновления Ребята решили расширить локальные комьюнити. Поинты при этом расширили. Для Tier 1 Architects появились роли: Meetup Organizer и Technical Speaker. Новые роли в chapters: Chapter Contributor, Chapter Lead, Country Lead. Но имейте в виду, нужно подавать заявку, роли не дают автоматически. Дедлайн первой волны: 18 сентября. В общем движ идет. Можно отдельно гайд закинуть для фарма, если надо.
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Тренчеры, забираем копеечки в sol на аккаунтах где трейдили мемы и совершали манипуляции в solana сети. 3 сентября сеть обновилась и снизила требования к ренте - теперь часть SOL, которая была заможрожена в старых аккаунтах, можно забрать обратно Механика простая: каждый раз когда получаешь или торгуешь новым токеном, Solana создаёт отдельный аккаунт и замораживает в нём ~0.002 SOL как депозит. Токен продал - аккаун…
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Showing the 12 most recent of 34 posts we hold for @CryptoEarnImp. 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 18 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.
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 9 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
This channel appears in 84 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 11 November 2026 — this entry's latest reading, not the date you are reading this.
“CryptoEarn Important” (@CryptoEarnImp), 27,323 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/CryptoEarnImp.
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.