5 measurements spanning 7 days, net -16. 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 6,410–6,433 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 03:53
6,413
-11
10 Aug 2026, 04:22
6,424
-6
6 Aug 2026, 22:32
6,430
+1
6 Aug 2026, 10:30
6,429
no change
6 Aug 2026, 09:53
6,429
first reading
Engagement
26 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 9 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
4.86%
avg views ÷ 6,413 subscribers
Avg views / post
312
26 posts measured
Reaction rate
0.242%
reactions ÷ views · ER floor
Posts in window
26
of 26 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 1 of 26 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 12 August 2026
Posts held
26 (29 July 2026 – 12 August 2026)
Views total
8,109
Reactions total
1
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 03:10 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
1 reaction across 1 post, in 1 kind.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🫡
1
100.0%
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 1 of the 26 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 1reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 26 most recent posts we hold, published 29 July 2026 to 12 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.
Advertising
Ad load
3.85%
1 of 26 posts carry an ad marker
Regulatory tokens
0
none — marked by hashtag only
Median views · ads
305
over 1 measured post
Median views · rest
296
over 25 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 26 most recent posts we hold, published 29 July 2026 to 12 August 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.
Canton Daily | 2026.08.12 Wed
$CC $0.0999 (+4.00%)
🔥 B/M Ratio: 0.5774x (인플레이션)
Mint 21.1M CC → Burn 12.2M CC
🗞️ 트위터 소식 정리
· 프랭클린 템플턴이 캔톤 네트워크의 슈퍼 검증자(Super Validator)로 합류함. 은행 등 전통 금융권이 퍼블릭 체인과 캔톤을 이미 실사용 중이며, 프라이버시와 거버넌스 통제를 위해 자체 EVM을 구축하는 트렌드라고 함. 추가로 Cashen이 슈퍼 검증자들의 토큰 락업(CIP-0116) 요건을 맞추기 위한 핵심 마켓플레이스로 쓰이는 중. 기관 묻었으니 이제 가격만 오르면 됨 제발ㅋㅋ 원문
· 캔톤 생태계 내 이더리움 호환성 작업이 계속 진행 중. Daml 컨트랙트와 EVM 스마트 컨트랙트가 동일 트랜잭션 내에서…
Canton Daily | 2026.08.11 Tue
$CC $0.0979 (-4.00%)
🔥 B/M Ratio: 0.6336x (인플레이션)
Mint 21.4M CC → Burn 13.6M CC
🗞️ 트위터 소식 정리
· 기관들은 데이터 통제권 유지하며 자체 서브넷 운영 가능함. 글로벌 싱크로나이저는 데이터 내용 확인 없이 암호화된 메시지만 라우팅함. 파편화된 발행·거래·결제 시스템을 프로토콜 단에서 동기화해 유동성 문제 해결한다는 구상. 기관들 입맛엔 확실히 맞을 듯. 원문
· 7월 생태계 주요 성과 요약됨. DTCC 토큰화 국채 및 주식 실거래 처리, 비자(Visa) 재단 합류, BitSafe 퍼블릭 베타 출시, Arqitech 아토믹 스왑 성공 등 포함. 조용히 실사용 사례 잘 쌓는 중. 원문
· 트랜잭션 많이 발생시킨 빌더에…
Canton Daily | 2026.08.10 Mon
$CC $0.1022 (+6.10%)
🔥 B/M Ratio: 0.6693x (인플레이션)
Mint 21.6M CC → Burn 14.4M CC
🗞️ 트위터 소식 정리
· 프랭클린 템플턴이 Canton 슈퍼 밸리데이터로 합류함. 전통 금융권 하나 제대로 물어왔네. 원문
· Canton 유저(partyID)와 Zenith 유저(EVM 계정) 간에 CIP-56 ↔ ERC-20 자산 아토믹 스왑 성공함. 서로의 네트워크 환경을 전혀 알 필요 없이 교환 완료됨. 크로스체인 관련해서 유의미한 기술적 마일스톤 찍은 듯. 원문
· 크립토랭크 출처 거래소별 24시간 볼륨 데이터 공유함. 딱히 영양가 있는 내용은 아님. 원문
Canton Daily | 2026.08.09 Sun
$CC $0.0943 (+3.60%)
🔥 B/M Ratio: 0.6311x (인플레이션)
Mint 21.5M CC → Burn 13.6M CC
🗞️ 트위터 소식 정리
· 캔톤(Canton)이 거래소 비트루(Bitrue)에 상장됨. 상장 공지인데도 조회수나 반응이 그렇게 뜨겁진 않은 듯. 원문
· 공식 계정에서 별 멘트 없이 불, 요트 이모지만 띡 올리면서 알 수 없는 하입 주는 중. 제발ㅋㅋ 원문
· 캔톤 재단 왈, 캔톤 생태계의 추천 앱(Featured App) 지위는 대형 기관에만 주는 거 아니라고 함. 재단 심사 통과하면 아무나 다 된다고 굳이 강조함. 생태계 키워보려는 몸부림인 듯. 원문
Canton Daily | 2026.08.08 Sat
$CC $0.0909 (-0.50%)
🔥 B/M Ratio: 0.6832x (인플레이션)
Mint 21.6M CC → Burn 14.8M CC
🗞️ 트위터 소식 정리
· 7월 성과 리캡이 올라옴. DTCC가 토큰화된 미 국채와 주식의 실제 프로덕션 거래를 처리했고, 비자(Visa)가 재단 일반 멤버로 합류함. 신규 참여자 및 검증자가 늘어나면서 월간 거래량이 1조 달러(trillions) 단위를 기록했다고 함. 굵직한 전통 기관들 묻어가는 건 언제 봐도 신기함. 원문
· Canton 네트워크에 무기계약(Perps)이 도입됨. 지불과 자산 인도 등 양방향 거래를 단일 트랜잭션으로 묶어 기존 전통 금융의 담보 비용 리스크를 없앰. 거래 당사자가 아닌 검증자에게는 거래 내용을 노출하지 않…
Canton Daily | 2026.08.07 Fri
$CC $0.0907 (-11.90%)
🔥 B/M Ratio: 0.7196x (인플레이션)
Mint 21.8M CC → Burn 15.7M CC
🗞️ 트위터 소식 정리
· 캔톤 토크노믹스는 네트워크 성장과 제공되는 서비스가 직접적으로 비례하도록 설계됐다고 함. 리얼비전에서 관련 인터뷰를 진행했고 비트루(Bitrue) 거래소 상장 소식도 뜸. 일은 꾸준히 하는 듯. 원문 원문
· 7월 기준 네트워크 트랜잭션 볼륨 약 9조 달러, 참여자 및 검증자는 수백 곳 규모로 성장함. 미국채 토큰화와 온체인 레포 결제 등이 맞물려 활발하게 돌아가는 중. 최근 FTDA가 슈퍼 밸리데이터로 합류하기도 함. 기관 쪽 덩치는 생각보다 꽤 큰 듯. 원문 원문
· 개발 스택을 AI 모델이 쉽게 참고할 수 …
Canton Daily | 2026.08.06 Thu
$CC $0.1034 (-4.90%)
🔥 B/M Ratio: 0.7404x (인플레이션)
Mint 22.1M CC → Burn 16.4M CC
🗞️ 트위터 소식 정리
· 프랭클린 템플턴 및 다수 기관 검증인 합류
프랭클린 템플턴이 슈퍼 밸리데이터로 합류함. 추가로 1exchange는 RWA 토큰화 지원을 위해, FOMO Pay는 기관용 B2B 결제 인프라 전용 노드를 운영하기 위해 각각 검증인으로 승인됨. 굵직한 기관들 엮이는 속도 제법 빠름. 원문
· Temple x RedStone 가격 오라클 파트너십
Temple이 최근 런칭한 금/은 시장에 RedStone이 가격 피드 제공하기로 함. 비수탁형 오더북에 저지연 오라클 붙여서 데이터 신뢰도 올리는 중. 실물 자산 쪽 인프라 셋업 …
#AD #IBC
버터 $QUID 오징어 스테이킹 오픈
> 바로가기 : stake.squidrouter.com
세일가 대비 약 3~3.5배 수익을 안겨준 $QUID의 스테이킹이 오픈 되었다고 합니다.
특징으로는?
- ~200% 수준의 APY
- 하지만 락업이 없는
- 이외에는 킹버너스와 유틸리티 우선 접근
본디오늘새벽쯤코인베이스상장으로뻠핑으로내일업비트상장(빗썸도호따딱상장)했으면$500M갈수있지않았을까?
상상하며200원에팔지못해남겨진$QUID한번넣어볼까합니다.
감사합니다.
Canton Daily | 2026.08.05 Wed
$CC $0.1079 (-5.50%)
🔥 B/M Ratio: 0.7069x (인플레이션)
Mint 21.7M CC → Burn 15.3M CC
🗞️ 트위터 소식 정리
· 프랭클린 템플턴이 캔톤 네트워크의 슈퍼 검증자(Super Validator)로 합류함. 핵심 인프라 운영에 직접 관여하면서 보안이랑 토큰화 자산 쪽 챙길 예정. 월가 기관들 조용히 냄새 맡고 들어오는 중. 원문
· 퍼블릭 장부의 단점을 해결하는 글로벌 싱크로나이저 기능과 컴포저빌리티 강조함. 브릿지 없이 크로스체인 거래를 처리하는데, 거래 내용은 당사자만 알고 네트워크는 암호화된 메타데이터만 검증함. 기존 트래드파이(TradFi)의 비싼 신용 중개 리스크를 없애겠다는 게 타겟인 듯. 원문
· 지난달 주요 생태계 진…
Showing the 12 most recent of 26 posts we hold for @cobling. 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.
Citation-graph rank
Citation-graph rank — 276,255 of 1,169,250entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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 4 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.
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 13 August 2026 — this
entry's latest reading, not the date you are reading this.
“코블린의 IBC 훈련대대” (@cobling), 6,413 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/cobling.
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.