Crypto & trading โ a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channelโs own recent posts on 11 August 2026 and assigned it the closest of 31 fixed categories, at 94% confidence. This is a modelโs 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 โ 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. They sit inside a group of 4 channels that share the same post bodies with each other. The matching is on the text itself, not on Telegramโs forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts โ open both and compare (5 of the pairs behind the counts below)
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 โ 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 4 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.
โPublished firstโ means first in this corpus. We hold 10 comparable posts for this entry, running 18 July 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 detectorโs 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 4, the earliest publisher we hold is @BulliiisshGemsCalls. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_copy, last confirmed 8 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 โ we do not keep publishing a claim we have withdrawn. Dispute an observation.
Also posting the same content
This channelโs posts match, word for word or near enough, posts on 3 other registered channels, 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 โ 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 โ 60%, no better than a coin flip โ because it depends on how deep our own crawl happened to reach into each channelโs 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 โ a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story โ and this measurement cannot tell those apart. How this is measured.
31 measurements spanning 77 days, net +10,840. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between โ snapshots are recorded only when a count changes, so gaps mean โno change observedโ, never โinterpolatedโ.
Measurement log โ every subscribers count we have recorded, most recent 20 of 31
Measured (UTC)
Subscribers
Change
24 Oct 2026, 13:49
14,113
-654
23 Oct 2026, 13:17
14,767
-330
22 Oct 2026, 13:38
15,097
-947
21 Oct 2026, 08:08
16,044
-633
20 Oct 2026, 03:57
16,677
-652
19 Oct 2026, 05:37
17,329
-798
18 Oct 2026, 04:27
18,127
-367
17 Oct 2026, 03:28
18,494
-697
16 Oct 2026, 06:16
19,191
-154
15 Oct 2026, 09:45
19,345
-747
14 Oct 2026, 12:17
20,092
-717
13 Oct 2026, 01:01
20,809
-2,743
8 Oct 2026, 18:21
23,552
-875
4 Oct 2026, 05:59
24,427
-19
25 Sept 2026, 10:38
24,446
-72
17 Sept 2026, 08:41
24,518
-8
15 Sept 2026, 08:01
24,526
-9
13 Sept 2026, 17:40
24,535
-10
11 Sept 2026, 23:58
24,545
-3
9 Sept 2026, 13:36
24,548
first reading
Engagement
94 posts held, back to 18 July 2026 โ the reader has not yet reached the start of this channelโs public history, so older posts may sit further back, unread. Read across 32 pages of Telegramโs post history, 20 posts per page.
ERR ยท 30 days
22.0%
avg views รท 14,113 subscribers
Avg views / post
3,110
29 posts measured
Reaction rate
1.63%
reactions รท views ยท ER floor
Posts in window
58
of 94 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) รท views โ note the denominator is views, not subscribers. Telegramโs 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 28 of 29 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days ยท latest post in window 11 October 2026
Posts held
94 (18 July 2026 โ 11 October 2026)
Views total
90,210
Reactions total
1,420
Forwards / comments
not exposed by the public surface โ not measured, not estimated
Readings taken
12 Oct 2026, 18:22 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 โcorrectingโ the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form โ 8.12K, 3.7M โ 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 โ read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
Video runtime
32s
Average length
8s
Measured directly from 4 videos with a duration reading, out of the posts we hold for this channel โ not this channelโs 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 Telegramโs own rounded chrome, so it carries no โ mark.
Reaction mix
2,713 reactions across 46 posts, in 14 distinct kinds. The most used accounts for 12.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
โค
332
12.2%
๐
315
11.6%
๐
308
11.4%
๐ฅฐ
308
11.4%
๐ฅ
307
11.3%
๐ฏ
292
10.8%
โคโ๐ฅ
274
10.1%
๐คฉ
271
9.99%
๐
264
9.73%
๐
11
0.405%
๐พ
9
0.332%
๐
9
0.332%
๐
9
0.332%
๐ณ
4
0.147%
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 โ ๐ is thanks in one channel and mourning in another โ 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 โ 4.34K, 1.2M โ 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 46 of the 94 sampled posts in this sample. Summed by Telegramโs own count on each post โ not by adding up the per-emoji breakdown above โ those same posts carry 2,713 reactions in total: the kind of figure the paragraph above means by โa reaction total printed elsewhere on the pageโ.
Measured over the 94 most recent posts we hold, published 18 July 2026 to 11 October 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.
๐ฐ NVIDICATS | $NVIDICATS | SOLANA
๐จ THE OFFICIAL NVIDICATS COMMUNITY IS HERE! ๐จ
๐ก Not just another NFT project. A collection of 200 one-of-a-kind cats on Solana, bringing a unique community together with a token ecosystem built around $NVIDICATS. ๐พ
โก THE NUMBERS BEHIND NVIDICATS
๐ 200 UNIQUE CATS
โญ๏ธ Only 200 one-of-a-kind cats in the collection!
๐ FREE NFT MINT FOR PRESALE CONTRIBUTORS
๐ซด Presale contributors canโฆ
๐7๐ฅ6๐คฉ6โค4๐ฅฐ4๐4โคโ๐ฅ3๐3
Signed ๐๐น๐ถ๐๐ฒ ๐ข๐๐ป๐ฒ๐ฟ || ๐๐ผ๐น๐ ๐๐๐ข
๐ฅ $MUSK ๐ฅ
๐ซ๐๐ข๐ โฐ$MUSK EYES ON THIS ONE ๐
๐คHeard the team behind this has some history, with claims their previous launch hit $10M+ ๐
๐ Clean branding
๐ค Strong ticker
๐ฃ Musk narrative
๐ฅCould be one to watch on the Robinhood DEX ecosystem. Do your own research and check the contract before jumping in.
๐ Chart:
https://dexscreener.com/robinhood/0xada4e0d3f65f005274e4bb6bc86b452ebf1efedd
๐ฐ CA:
0xde5d3f1264eFF9602โฆ
โค7โคโ๐ฅ5๐5๐5๐ฏ4๐3๐ฅ2๐คฉ2
Signed ๐๐น๐ถ๐๐ฒ ๐ข๐๐ป๐ฒ๐ฟ || ๐๐ผ๐น๐ ๐๐๐ข
๐ช $EVERYTHING TOKENIZE EVERYTHING โก๏ธ
๐The RWA narrative is growing fast, and $EVERYTHING is built around one simple idea: if the world is moving toward tokenization, why stop at anything less than EVERYTHING? ๐๐
๐ฅ What makes $EVERYTHING interesting:
โ RWA-focused narrative
โ Built around the tokenization meta
โ Community-driven project
โ Early-stage opportunity
๐ CA:
"E6vtwCUtcNJdQEPGY8vWKahtu2sfwxQ4j68pUKm7pump"
โฆ
๐คฉ5๐5๐ฅ4โค3โคโ๐ฅ3๐3๐3๐ฏ2
Signed ๐๐น๐ถ๐๐ฒ ๐ข๐๐ป๐ฒ๐ฟ || ๐๐ผ๐น๐ ๐๐๐ข
๐ฃ $SI276
โก๏ธ $SI276 is a Solana-based project built around the concept of Super Intelligence, developed by YoungHoon Kim, who is presented by the project as the world's highest IQ record holder. The project also states that it is operating in cooperation with the World Memory Championships under an official agreement.
๐ช Contract Address:
"HMYd9tosnUXuNHmq7pXmoePRVBLBBjA3JBfydq6upump"
โ Unique AI and intelligence-foโฆ
โค8๐7โคโ๐ฅ6๐5๐คฉ4๐3๐ฅ3๐ฅฐ3
Signed ๐๐น๐ถ๐๐ฒ ๐ข๐๐ป๐ฒ๐ฟ || ๐๐ผ๐น๐ ๐๐๐ข
๐ #LOCAL / SOL
๐ข LOCAL ๐ข
๐ช $LOCAL is a Solana-based token currently trading on Meteora, with a growing trading community and active market momentum.
โก๏ธ Built on Solana
โก๏ธ Trading on Meteora
โก๏ธ Early-stage speculative play
โก๏ธ DYOR and manage risk carefully
๐คจ Keep an eye on $LOCAL and watch whatโs brewing! โ๏ธ
โ๏ธ : CA
7fDzFPYhdtNm5NbqvZYRcjB879DxH4dRjmMhbHSYqM5J
๐ฆ : Chart
https://dexscreener.com/solana/7fDzFPYhdtโฆ
๐7๐ฅฐ6โคโ๐ฅ4๐ฏ3๐ฅ3โค2๐2๐2
Signed ๐๐น๐ถ๐๐ฒ ๐ข๐๐ป๐ฒ๐ฟ || ๐๐ผ๐น๐ ๐๐๐ข
Signed ๐๐น๐ถ๐๐ฒ ๐ข๐๐ป๐ฒ๐ฟ || ๐๐ผ๐น๐ ๐๐๐ข
Showing the 12 most recent of 94 posts we hold for @MoonBlastSignals. 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 โ was rounded by Telegram before we ever saw it โ t.me prints views in full below 1,000 and to three significant figures above, so โ1,200,000 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 3 registered channels โ 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 โ that handle may belong to someone else now, and crediting todayโs namer to yesterdayโs 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 โ 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 โ the โNamed by N registered channelsโ 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 24 October 2026 โ this
entry's latest reading, not the date you are reading this.
โ๐๐ค๐ค๐ฃ ๐ฝ๐ก๐๐จ๐ฉ ๐๐๐๐ฃ๐๐ก๐จโ (@MoonBlastSignals), 14,113 subscribers as measured 24 October 2026. Telegram Register, tgregister.com/channel/MoonBlastSignals.
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 ยท 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.