✅빗썸 상반기 누적 실적 🟢영업수익: 1,688억 원, 전년 동기 대비 48.7% 감소 🟢영업이익: 149억 원, 전년 동기 대비 83.4% 감소 🟢순이익: -1,087억 원 (당기순손실 기록, 적자 전환) 다만 빗썸은 1분기보다는 매출은 소폭 늘고, 영업이익은 4배가까이 늘었는데, 분석해보면 1분기때 비트코인 오지급 사건으로 수수료 7일 면제해서 비교 기준이 낮아서라고 합니다 기사보기
Signed McCoy | GMB LABS

Channel
@GMBLABS
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
11,444subscribers
-37 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001566624832 |
|---|---|
| Type | Channel |
| Username | @GMBLABS |
| Description | Pegging the imbalance of information in Crypto World *본 채널은 투자 권유 및 투자 자문이 아닌 단순 정보 공유 채널입니다. 가상자산의 경우 큰 변동성으로 원금 일부 혹은 전부의 손실 가능성이 있습니다. Chat : @GMBLABSCHAT Contact: @GMB_McCoy Web: https://gmb.vc/ |
| Created | 28 June 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 10 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/GMBLABS |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 15:17 | 11,444 | -5 |
| 13 Aug 2026, 06:56 | 11,449 | +3 |
| 12 Aug 2026, 07:12 | 11,446 | -9 |
| 11 Aug 2026, 06:41 | 11,455 | -8 |
| 10 Aug 2026, 03:11 | 11,463 | -5 |
| 9 Aug 2026, 00:51 | 11,468 | -5 |
| 7 Aug 2026, 21:45 | 11,473 | -1 |
| 7 Aug 2026, 01:04 | 11,474 | -7 |
| 6 Aug 2026, 02:35 | 11,481 | no change |
| 6 Aug 2026, 02:03 | 11,481 | first reading |
56 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 18 pagesof 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. It is computed over the 33 of 56 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 15 August 2026 |
|---|---|
| Posts held | 56 (29 July 2026 – 15 August 2026) |
| Views total | 128,183 |
| Reactions total | 134 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 15 Aug 2026, 15:51 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.
Lifetime counters from Telegram’s own channel header, read 15 August 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.
Measured directly from 1 video 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.
119 reactions across 28 posts, in 6 distinct kinds. The most used accounts for 69.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 83 | 69.7% | |
| 👏 | 18 | 15.1% | |
| 🔥 | 15 | 12.6% | |
| 🎉 | 1 | 0.84% | |
| 😎 | 1 | 0.84% | |
| 🤗 | 1 | 0.84% |
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 33 of the 56 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 134reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 56 most recent posts we hold, published 29 July 2026 to 15 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.
✅빗썸 상반기 누적 실적 🟢영업수익: 1,688억 원, 전년 동기 대비 48.7% 감소 🟢영업이익: 149억 원, 전년 동기 대비 83.4% 감소 🟢순이익: -1,087억 원 (당기순손실 기록, 적자 전환) 다만 빗썸은 1분기보다는 매출은 소폭 늘고, 영업이익은 4배가까이 늘었는데, 분석해보면 1분기때 비트코인 오지급 사건으로 수수료 7일 면제해서 비교 기준이 낮아서라고 합니다 기사보기
Signed McCoy | GMB LABS
대한독립만세
👍29
Photo, posted without a caption
👏9
Signed Chuchu | GMB LABS
https://www.rocketpunch.com/discover/24003 UK제재는 많이 보고 EU제재는 못 보신 분들 있을 수 있는데, EU 제재는 워낙 큰 건이라 아예 그냥 막는 것 같아요
Signed Chuchu | GMB LABS
바이낸스 8월 23일부터 HTX를 포함한 11곳 거래소와의 입출금 금지 - HTX → 바이낸스 입금 / 바이낸스 → HTX 출금 금지 - 개인지갑을 중간에 끼워 우회하는 간접 전송도 하지 말라고 명시함. - 시도하면 거래가 보류되고 컴플라이언스 심사, 관련 지갑·바이낸스 계정 제한까지 걸릴 수 있음. - 바이낸스는 이유를 “최근 규제 변화”라고만 밝혔고, 구체적인 국가·제재 근거는 공개하지 않음. https://www.binance.com/en/support/announcement/detail/af2be67dc03c4673b4f56c42db948253
Signed Chuchu | GMB LABS
✅업비트 상반기 누적 실적 🟢영업수익: 4,081억 원, 전년 동기 대비 49.1% 감소 🟢영업이익: 1,115억 원, 전년 동기 대비 79.7% 감소 🟢순이익: 1,084억 원, 전년 동기 대비 74.1% 감소
👏9
Signed McCoy | GMB LABS
https://etherscan.io/tx/0xd5b81165df38965fe714f87ea20cddf103e1c3e5c786ba66cb42bd48562defe8 뉴트럴 리퀴 전부 제거되다. (대충 NUSD 이제 못 판다는 뜻)
Signed Chuchu | GMB LABS
https://x.com/Neutrl/status/2087863440136147224 뉴트럴에 무슨 일이 일어났네요. 뭐 며칠 뒤면 거래 중 손실이 났다 자산 청산 법률 뭐 어려운 용어들 나올 것 같아요. 피해자분들 없길 바라겠습니다.
Signed Chuchu | GMB LABS
뉴욕시의회 폴리마켓, 칼시 등 예측시장 조사 착수 원문 시의회가 이들이 인플루언서를 활용, 소셜미디어에서 광고라는 사실을 제대로 밝히지 않은 채 젊은 이용자의 거래를 유도했는지 등을 조사할 계획이다. 조사 대상에는 실제로 존재하지 않는 거래를 실제 거래처럼 보여주거나 손실이 발생한 거래를 수익이 난 것처럼 표현했다는 의혹도 포함됐다. 한국에서도 폴리마켓 썼다가 도박으로 잡혀가기도 하고 이래저래 말이 많네요
👍1
Signed Index l GMB LABS
📱 [AMA] Acurast , 핸드폰을 통한 분산 컴퓨팅 네트워크. 이거 가능해? - 일시: 8월 13일 목요일 오후 9시 - 장소: 코인같이투자 트위터 스트리밍 - 손님: Acurast Acurast는 핸드폰을 통한 분산형 네트워크로 현재 279,700 의 핸드폰 구동, 9.19억개 온체인 트랜잭션. 60만 컨트랙트 배포를 통해 영역을 넓히고 있는 DePIN 네트워크입니다. 📨 AMA 기념 이벤트 : Acurast 한국 커뮤니티 ㅣ 대화방 입장 : AMA 공지 게시물 Like RT : AMA 참여 및 인증샷 해당그룹 제출 : 네이버폼 제출 🗳 리워드: 치킨 기프티콘 10명, 만원 기프티콘 50명, 커피 200명 현재 갖춰진 네트워크를 기반으로 peaq와 OKX AI등에 인프라를 제공하고 있는 Acurast가 한국에 인사를 드린다…
👍2
Signed McCoy | GMB LABS
🔨 카이토 일봉인데 시원하네요 야핑 시즌 2 떡밥으로 올린거 그대로 그냥 무한으로 쏟는중..
👍5
Signed McCoy | GMB LABS
7월 CPI가 전월 대비 0.1%, 전년 대비 3.4% 상승으로 예상치에 부합 이에 9월 금리 인상 가능성도 최저 수준으로 떨어졌습니다
Signed Index l GMB LABS
Showing the 12 most recent of 56 posts we hold for @GMBLABS. 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 — 13,869 of 1,480,688entries 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
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 3 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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“GMB LABS” (@GMBLABS), 11,444 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/GMBLABS.
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.