Telegram RegisterThe public register of Telegram
Telegram profile photo for CryptoMania. Новости, аналитика, прогнозы по криптовалютам

Channel

CryptoMania. Новости, аналитика, прогнозы по криптовалютам

@crpt_mn

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · Reactions · Posts · Citations · Cite this entry

40,213subscribers

+4,457 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001627025441
TypeChannel
Username@crpt_mn
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live9 September 2026
Measurements held28
Confirmed unchanged1 time, most recently 9 September 2026
On Telegramt.me/crpt_mn

Topic

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 10 August 2026 and assigned it the closest of 31 fixed categories, at 100% 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.

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 word for word on 1 other registered channel. 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)
Posted firstThenOverlapGap
@whaleWS/116765 Aug 2026, 15:27 UTC@crpt_mn/5047 · this entry5 Aug 2026, 15:28 UTC1.00under a minute
@whaleWS/116786 Aug 2026, 10:15 UTC@crpt_mn/5049 · this entry6 Aug 2026, 10:15 UTC1.00under a minute
@whaleWS/116816 Aug 2026, 14:04 UTC@crpt_mn/5051 · this entry6 Aug 2026, 14:04 UTC1.00under a minute
@whaleWS/116826 Aug 2026, 15:12 UTC@crpt_mn/5052 · this entry6 Aug 2026, 15:12 UTC1.00under a minute
@whaleWS/116866 Aug 2026, 17:34 UTC@crpt_mn/5055 · this entry6 Aug 2026, 17:34 UTC1.00under a minute
@whaleWS/116887 Aug 2026, 05:48 UTC@crpt_mn/5057 · this entry7 Aug 2026, 05:48 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@whaleWS10 (8/8 hand-verifiable sample passed)1.00under a minute@whaleWS (100)

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. 9 of the 10 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 19 comparable posts for this entry, running 3 August 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).

Across the whole group of 2, the earliest publisher we hold is @whaleWS. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_copy, last confirmed 7 August 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.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word 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.

Growth

35,75640,21337,984.57 August 2026 — 35,756 subscribers7 August 2026 — 35,951 subscribers8 August 2026 — 36,663 subscribers9 August 2026 — 37,297 subscribers10 August 2026 — 37,189 subscribers11 August 2026 — 37,074 subscribers12 August 2026 — 36,996 subscribers13 August 2026 — 36,947 subscribers14 August 2026 — 36,904 subscribers16 August 2026 — 36,805 subscribers17 August 2026 — 36,710 subscribers18 August 2026 — 36,687 subscribers19 August 2026 — 36,614 subscribers20 August 2026 — 36,582 subscribers22 August 2026 — 36,530 subscribers23 August 2026 — 36,438 subscribers25 August 2026 — 36,393 subscribers26 August 2026 — 36,337 subscribers27 August 2026 — 36,265 subscribers28 August 2026 — 37,222 subscribers29 August 2026 — 37,529 subscribers30 August 2026 — 37,873 subscribers31 August 2026 — 38,181 subscribers1 September 2026 — 38,536 subscribers2 September 2026 — 38,836 subscribers3 September 2026 — 39,300 subscribers6 September 2026 — 40,032 subscribers9 September 2026 — 40,213 subscribers7 August 20269 September 2026
28 measurements spanning 33 days, net +4,457. 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 35,087–40,882 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 28
Measured (UTC)SubscribersChange
9 Sept 2026, 12:3640,213+181
6 Sept 2026, 03:3640,032+732
3 Sept 2026, 20:5839,300+464
2 Sept 2026, 09:3438,836+300
1 Sept 2026, 11:0438,536+355
31 Aug 2026, 07:3738,181+308
30 Aug 2026, 06:4637,873+344
29 Aug 2026, 05:2737,529+307
28 Aug 2026, 07:3837,222+957
27 Aug 2026, 07:3536,265-72
26 Aug 2026, 05:1636,337-56
25 Aug 2026, 04:2136,393-45
23 Aug 2026, 22:4836,438-92
22 Aug 2026, 09:2336,530-52
20 Aug 2026, 21:3436,582-32
19 Aug 2026, 20:5236,614-73
18 Aug 2026, 18:1336,687-23
17 Aug 2026, 19:1336,710-95
16 Aug 2026, 17:1636,805-99
14 Aug 2026, 22:4836,904first reading

Engagement

90 posts held, back to 3 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 70 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
24.6%
avg views ÷ 40,213 subscribers
Avg views / post
9,890
54 posts measured
Reaction rate
0.612%
reactions ÷ views · ER floor
Posts in window
54
of 90 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 9 September 2026
Posts held90 (3 August 20269 September 2026)
Views total534,142
Reactions total3,267
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Sept 2026, 12:35 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

5,487 reactions across 90 posts, in 7 distinct kinds. The most used accounts for 25.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1,41125.7%
👍1,37125.0%
🔥1,34624.5%
🎉1,32624.2%
🤝150.273%
👏120.219%
👌60.109%

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 90 of the 90 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 5,487 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 90 most recent posts we hold, published 3 August 2026 to 9 September 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

9 Sept 2026, 10:23 UTC≈1,720 views66 reactionsread 9 September 2026
Photo

LIT > 5 Про этот тикер можно ничего не писать, он обновляет ATH каждый день Рынок подарил 4-5 месяцев на набор позы в районе 1$

21🎉15👍15🔥15

8 Sept 2026, 16:24 UTC≈7,460 views59 reactionsread 9 September 2026
Photo

Кит Гарет Джин, который зашортил ZEC по 444, начал фиксить шорт в минус Он закрыл 7000 ZEC, зафиксировав убыток в $5 мультов Оставшийся шорт в данный момент даёт отрицательную прибыль в $20 миллионов ZEC пока не даёт откатов

🔥17👍1614🎉12

6 Sept 2026, 17:19 UTC≈12,700 views65 reactionsread 9 September 2026
Photo

Пока писал пост… Ок, это мой первый официальный вин на мемах. При том что я вообще не фанат этого жанра, больше люблю фьючи.

🎉17🔥1716👍15

6 Sept 2026, 17:10 UTC≈12,500 views57 reactionsread 9 September 2026
Photo

Приколы в крипте продолжаются И сейчас уже даже я удивлён Взял вчера новый мем ZCAT на $5к, капа на момент покупки ≈ $26 лямов, подсветил рефам в чате Мне понравилась меметика: анонимный кот, отсылка к ZCash и слоган «bag stays on» - «пакет остаётся», игра слов с «поза остаётся». Ещё прикол мема: 3% с оборота автоматически капают холдерам в ZEC (bridged ZEC на Солане) Каково было мое удивление, когда ровно день с

👍16🔥16🎉1312

6 Sept 2026, 06:55 UTC≈12,500 views64 reactionsread 9 September 2026
Photo

ZEC, доброе утро

👍19🎉16🔥1514

5 Sept 2026, 16:55 UTC≈12,700 views46 reactionsread 9 September 2026

Новая мета в крипте: ты уходишь на выходные, на 100% зная что будет памп

15🎉14👍10🔥7

5 Sept 2026, 12:49 UTC≈12,900 views55 reactionsread 9 September 2026
Photo

Что бывает, когда ты попал в психологическую ловушку, вовремя не приняв факт, что условия поменялись И ты продолжаешь торговать прошлый рынок Loracle, HYPE кит, который удачно шортил всю медвежку, уехал на одном из акков с ≈ +30 лямов на -30 лямов, на другом он встал под поезд по всем горячим нарративам, в частности прямо сейчас удерживает просадку в 6 мультов по PONS (Robinhood chain нарратив) Не лезьте в самоуби

🎉1615🔥13👍11

4 Sept 2026, 17:51 UTC≈12,800 views58 reactionsread 9 September 2026
Photo

320 000 человек ежемесячно переводят деньги мужику, который шортит Nvidia и лонгует Lululemon

🔥1714🎉14👍13

4 Sept 2026, 13:45 UTC≈12,800 views63 reactionsread 9 September 2026

⚡️TRUMP: HIGH RATES PUT US AT 'UNFAIR DISADVANTAGE' AND I WON'T ALLOW THAT TO HAPPEN ⚡️TRUMP: LOWER RATE OR I'LL STOP TRADING WITH COUNTRIES WITH WHICH WE HAVE A DEFICIT ⚡️ТРАМП: ВЫСОКИЕ СТАВКИ СТАВЯТ США В «НЕПРАВИЛЬНОЕ ПОЛОЖЕНИЕ», И Я НЕ ПОЗВОЛЮ ЭТОМУ ПРОИЗОЙТИ ⚡️ТРАМП: СНИЗИТЕ СТАВКУ, ИНАЧЕ Я ПРЕРВУ ТОРГОВЛЮ С СТРАНАМИ, С КОТОРЫМИ У НАС ЕСТЬ ДЕФИЦИТ

👍2117🎉13🔥12

4 Sept 2026, 08:40 UTC≈12,500 views60 reactionsread 9 September 2026
Photo

USELESS Ещё +75% и уже +700% с локального дна 3х недельной давности

👍1915🔥15🎉11

3 Sept 2026, 15:34 UTC≈12,600 views68 reactionsread 9 September 2026
Photo

LIT ATH этот тикер так и не дал дипа

19👍19🔥19🎉11

3 Sept 2026, 11:25 UTC≈12,400 views61 reactionsread 9 September 2026
Photo

Известный в крипте трейдер Loracle шортит сразу два горячих нарратива - ИИ акции: SNDK, NVDA, MU (≈ $55 млн) - Робингуд чейн нарратив: CASHCAT и PONS (≈ $11 млн) Насколько это смарт стратегия, скоро узнаем

🔥1915🎉14👍13

Showing the 12 most recent of 90 posts we hold for @crpt_mn. 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.

Forward network

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.

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

“CryptoMania. Новости, аналитика, прогнозы по криптовалютам” (@crpt_mn), 40,213 subscribers as measured 9 September 2026. Telegram Register, tgregister.com/channel/crpt_mn.

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.