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 11 September 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 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. 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.
No sample pairs were kept for this entry. The counts below were measured, but without the pairs there is nothing here for you to open and check, so treat the relationship as recorded rather than demonstrated.
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. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 83 comparable posts for this entry, running 29 July 2026 to 11 November 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).
Recorded under the key clone_mutual, last confirmed 12 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.
Growth
65 measurements spanning 98 days, net +127. 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 10,458–10,863 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)
Subscribers
Change
12 Nov 2026, 08:05
10,700
-11
10 Nov 2026, 09:59
10,711
-9
9 Nov 2026, 00:54
10,720
-5
7 Nov 2026, 20:56
10,725
-7
6 Nov 2026, 21:27
10,732
-1
5 Nov 2026, 18:07
10,733
-2
4 Nov 2026, 16:56
10,735
-7
3 Nov 2026, 19:00
10,742
-6
2 Nov 2026, 21:20
10,748
-4
1 Nov 2026, 18:29
10,752
-1
31 Oct 2026, 21:06
10,753
-1
30 Oct 2026, 22:05
10,754
-5
29 Oct 2026, 20:07
10,759
-5
28 Oct 2026, 22:31
10,764
-8
27 Oct 2026, 18:48
10,772
-1
26 Oct 2026, 19:27
10,773
-5
24 Oct 2026, 16:26
10,778
+2
23 Oct 2026, 18:47
10,776
+11
22 Oct 2026, 18:31
10,765
+49
21 Oct 2026, 13:10
10,716
first reading
Engagement
120 posts held, back to 29 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 62 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
11.4%
avg views ÷ 10,700 subscribers
Avg views / post
1,220
46 posts measured
Reaction rate
0.156%
reactions ÷ views · ER floor
Posts in window
46
of 120 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 43 of 46 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 14 November 2026
Posts held
120 (29 July 2026 – 14 November 2026)
Views total
56,091
Reactions total
83
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
14 Nov 2026, 10:49 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.
What this channel posts
Photos
≈3,520
Videos
≈97
Links
≈3,320
Lifetime counters from Telegram’s own channel header, read 14 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
3m 19s
Average length
1m 06s
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
239 reactions across 102 posts, in 7 distinct kinds. The most used accounts for 85.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
204
85.4%
👍
22
9.21%
👀
4
1.67%
🔥
3
1.26%
🤯
3
1.26%
💩
2
0.837%
🙏
1
0.418%
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 107 of the 120 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 245 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 120 most recent posts we hold, published 29 July 2026 to 14 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.
Advertising
Ad load
0.833%
1 of 120 posts carry an ad marker
Regulatory tokens
0
none — marked by hashtag only
Median views · ads
1,100
over 1 measured post
Median views · rest
1,130
over 119 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Measured over the 120 most recent posts we hold, published 29 July 2026 to 14 November 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Recent posts
Telegram’s own ‘edited’ marker: 7 of 46 posts held from the last 30 days (15.2%) 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).
Cursor가 최근 보안 사고의 전체 경로를 공개함. 공격은 Cursor 자체가 아니라 외부 AI 인프라 업체 Fireworks에서 노출된 접근키로 시작됨.
순서를 정리하면
1. Cursor가 Fireworks에 발급한 접근키 노출
2. 공격자가 학습용 읽기 전용 버킷에서 과거 Coding Agent trace 복사
3. 일부 trace에 삭제되지 않은 고객 API 키·자격증명 포함
4. 해당 키로 Cursor가 쓰던 일부 SaaS 도구와 비프로덕션 자료에 접근
5. 탈취한 Cursor 자격증명으로 마켓플레이스 캐시에 가짜 Claude Code 확장프로그램 배포
이후 공격자는 10월 29일 Cursor 확장프로그램 마켓플레이스에 악성 Anthropic.claude-code 2.1.312·2.1.313 버전을 올림. 약 11시간 동안 노출됐…
안녕하세요 여러분 🙏
RoboStrategy와 함께 서울에서 로보틱스와 피지컬 AI를 이야기하는 저녁 자리를 준비했습니다. 아직 서툰 부분이 많지만, 편하게 오셔서 함께 이야기 나눠주시면 정말 감사하겠습니다..! (제발요)
피지컬 AI가 연구실을 벗어나 현실로 들어오고 있는 지금, 빌더, 투자자, 커뮤니티 분들과 함께 로보틱스가 어디로 가고 있는지 이야기 나눠보고 싶었습니다.
📅 11월 22일(일) 18:00~22:00 KST
📍 서울 청담동
🎟 무료, 승인제 100명
타임테이블
18:00 입장, 웰컴 드링크 및 체크인
18:30 오프닝 및 RoboStrategy 소개
19:00 패널 토론: 로보틱스는 지금 어디쯤 와 있을까?
19:30 RoboStrategy 팀과의 Q&A
20:00 자유 대화 및 네트워킹
귀한 시간 내주신 패널 분…
메가이더가 MEGA로 이름 바꾸고 AI 추론 마켓 한다네요
https://mega.holdings/whitepaper
같은 추론 모델인데도 공급 업체마다 가격이 꽤 다른경우가 많습니다. 근데 싼 데는 진짜 그 모델 돌리는지, 내 데이터 어케 쓰는지 알 수가 없으니까 결국은 비싸더라도 신뢰가능한 곳으로 몰립니다.
백서에서 재밌는건 이걸 1730년 오사카 쌀 거래소에 비유한 부분입니다. 당시 쌀은 농가마다 품질이 다 달랐고, “어느 등급 쌀을, 몇 섬, 언제까지 넘긴다” 라는 표준 계약을 만들고 그 계약서를 사고 팔았어요. 물건이 다 다르니까 여러 품질 표준을 만들어서 계약서 형태로 거래하는거죠. 대신 이게 돌아가려면 그 품질을 정말로 만족하는지를 검사하는 품질 검사가 제대로 수행되야됩니다.
메가 이더는 이걸 그대로 추론 시장 가져오겠다는…
X 캐시태그에서 포모를 지원하네요
https://x.com/fomo/status/2120154677241409745?a=jFk8PHPbtLR_sBId8co
솔라나 코인들에 한해서 캐시태그 클릭시 이제 fomo로 바로 이동하는 버튼이 생겼어요
> 게시글 토큰 언급
> 캐시태그 클릭
> 포모로 연결 후 거래
의 흐름으로 토큰 주소 복붙할 필요도 사라지는 유저 경험을 갖게됩니다
다만 캐시태그의 Trade 버튼이 지금 미국과 캐나다 쪽만 가능해서, 한국에선 차트만 보이는 상황
한국과 로빈후드 체인도 어서 캐시태그 트레이드 지원좀요
앤트로픽의 IPO 로드쇼 시작
https://www.anthropic.com/news/roadshow-launch
- 로드쇼는 상장 전에 회사와 주관사가 기관투자자들을 돌면서 공모주 수요를 받는 단계
- 공모가 범위 $70~78, 공모 주식 수 8억 2,500만 주
- 97% 정도가 신주(8억 135만 주)고, 기존 주주 매각은 2,365만 주
- 주관사는 골드만 삭스, 모건 스탠리
🏭 Paradigm just led a $100M round into AI data centers, not crypto
MavriaX builds AI data centers in a factory and ships them as ready-to-run 5MW blocks.
Funding
- $130M raised to date, latest $100M seed led by @paradigm at a $1B valuation
- Also in: AMP PBC, Liquid 2, Critical Frontier, Dream Ventures
Team
- Doxxed, ex-US Dept. of Energy
- Adam Blake (CEO): scaled a major US commercial solar company and sold a so…
Showing the 12 most recent of 120 posts we hold for @minebuu_cryptoball. 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.
Mentions
Named by 6 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.
우리는 트윗충 @twitchoong · 79,159 Telegram ranks this channel #32 of 91 here — alongside 90 others — read 25 August 2026
DeFi 농부 👨🏻🌾 조선생 @BSC_Farmer_KR · 20,228 Telegram ranks this channel #52 of 88 here — alongside 87 others — read 26 September 2026
신기술은 돈이 된다 공지방 @tlsrltnf · 22,343 Telegram ranks this channel #53 of 86 here — alongside 85 others — read 20 September 2026
Gram 🇰🇷 @toncoin_kr · 22,926 Telegram ranks this channel #79 of 88 here — alongside 87 others — read 30 September 2026
갓물주 (코인정보, 돈되는거) @godmulzoo · 22,634 Telegram ranks this channel #80 of 81 here — alongside 80 others — read 19 September 2026
변창호 코인사관학교 BCH @BChoSN · 26,320 Telegram ranks this channel #87 of 88 here — alongside 87 others — read 15 September 2026
Layergg exchange & project alert @layergg · 19,277 Telegram ranks this channel #88 of 91 here — alongside 90 others — read 1 October 2026
새우잡이어선 공지방 @shrimp_notice · 28,311 Telegram ranks this channel #88 of 93 here — alongside 92 others — read 9 September 2026
This channel appears in 8 seed channels' Telegram-generated recommendation lists 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 12 November 2026 — this
entry's latest reading, not the date you are reading this.
“마인부우의 크립토볼” (@minebuu_cryptoball), 10,700 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/minebuu_cryptoball.
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.
