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 10 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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.
Growth
52 measurements spanning 82 days, net -2,008. 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 22,513–26,215 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 52
Measured (UTC)
Subscribers
Change
27 Oct 2026, 12:07
22,940
-143
26 Oct 2026, 09:30
23,083
-175
25 Oct 2026, 11:46
23,258
-80
24 Oct 2026, 10:48
23,338
-196
23 Oct 2026, 09:26
23,534
-143
22 Oct 2026, 08:07
23,677
-182
20 Oct 2026, 23:58
23,859
-639
19 Oct 2026, 20:56
24,498
-143
18 Oct 2026, 17:36
24,641
-68
17 Oct 2026, 19:10
24,709
-192
16 Oct 2026, 20:48
24,901
-119
15 Oct 2026, 18:57
25,020
+1,030
14 Oct 2026, 15:20
23,990
-299
13 Oct 2026, 03:16
24,289
-690
8 Oct 2026, 20:38
24,979
+620
4 Oct 2026, 09:56
24,359
+132
25 Sept 2026, 21:00
24,227
+423
19 Sept 2026, 05:56
23,804
-327
16 Sept 2026, 17:20
24,131
-542
14 Sept 2026, 18:56
24,673
first reading
Engagement
1,543 posts held, back to 5 August 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 106 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
4.57%
avg views ÷ 22,940 subscribers
Avg views / post
1,050
653 posts measured
Reaction rate
0.566%
reactions ÷ views · ER floor
Posts in window
653
of 1,543 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 643 of 653 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 24 October 2026
Posts held
1,543 (5 August 2026 – 24 October 2026)
Views total
684,953
Reactions total
3,833
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
24 Oct 2026, 13:39 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
Video runtime
44m 43s
Average length
43s
Measured directly from 63 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
6,007 reactions across 990 posts, in 13 distinct kinds. The most used accounts for 34.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
2,074
34.5%
👍
1,426
23.7%
👌
507
8.44%
🔥
468
7.79%
☃
425
7.08%
❤🔥
405
6.74%
🎄
257
4.28%
🎅
174
2.90%
🎉
173
2.88%
👏
87
1.45%
🥰
5
0.083%
🥴
4
0.067%
💯
2
0.033%
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 990 of the 1,000 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 6,007 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 25 August 2026 to 24 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.
빗썸 액시스로보틱스(AXIS) 원화마켓 상장, 총 2억 1천만원 상당 에어드랍
빗썸이 AXIS 원화마켓 추가 기념으로 수수료 무료와 에어드랍 이벤트를 열었어요.
거래 이벤트는 주말 이틀, 하루씩 2회차로 나눠서 따로 순위를 매겨요.
⏰ 일정
🟢 이벤트: 10/24(토) 거래 개시 ~ 10/25(일) 23:59
🟢 원화마켓 수수료 무료: ~ 10/26(월) 11:59
🟢 보상 지급: 11/10(화), AXIS로 지급
🎁 회차별 거래 이벤트 · 1억 8천만원 상당
🟢 회차: 10/24 · 10/25 하루씩, 회차마다 신청 필요
🟢 회차별 1천만원 이상 거래(매수 · 매도) 시 참여
🟢 1위 127,500 · 2위 42,500 · 3위 21,250 · 4위 10,625 · 5위 6,375 AXIS
🟢 6위 이하 1천만원 이상 거래자 전원 4,…
😐 [쌀먹] SP SAMHWA 방수에이스 검색 퀴즈
경품
네이버페이 1만원권 × 100명
일정
진행 중 ~ 11/22(일)
발표 11/30(월) 개별 DM
참여 방법
1️⃣ 네이버에서 「방수에이스」 검색하고 설명 속 키워드 찾기
2️⃣ 「구글폼」에 키워드 3개 제출하면 응모 끝
※ 정답 「방수막 · 내구성 · 국민방수재」
➡️ 「이벤트 게시물」
#기프티콘 #이벤트 #상품권
😐 [쌀먹] 청주여유 신규가입 이벤트
경품
커피 모바일 쿠폰 1만원권 × 100명
일정
진행 중 ~ 11/2(월)
발표 11/6(금)
참여 방법
1️⃣ 「청주여유 홈페이지」에 신규 회원가입
2️⃣ 「구글폼」에 가입 아이디·성함·연락처 제출하면 응모 끝
➡️ 「이벤트 게시물」
#기프티콘 #이벤트 #커피
😐 [쌀먹] 소상공인시장진흥공단 코그페 전통시장·상점가 BOOM UP
경품
디지털 온누리상품권 1만원권 × 200명
일정
진행 중 ~ 10/28(화)
발표 11월 중 시장愛 홈페이지 공지
참여 방법
1️⃣ 「시장愛 인스타그램」의 코그페 콘텐츠 중 공유할 게시물 고르기
2️⃣ 내 SNS에 필수 해시태그 7개 넣어 전체공개로 공유
3️⃣ 「이벤트 응모 폼」에 공유한 게시물 링크 제출하면 응모 끝
※ 필수 해시태그 「#코리아그랜드페스티벌 #코그페 #전통시장 #상점가 #중소벤처기업부 #소상공인시장진흥공단 #시장애」
#기프티콘 #이벤트 #상품권
😐 [쌀먹] 성주군 참별이의 트윙클성주 OX 퀴즈
경품
올리브영 모바일 상품권 5천원 × 100명
일정
진행 중 ~ 10/25(일)
발표 10/28(수)
참여 방법
1️⃣ 「트윙클 성주」 인스타 팔로우 유지 시 당첨 확률 UP
2️⃣ 「이벤트 게시물」에 정답 3개를 순서대로 쓰고 친구 태그
3️⃣ 「네이버폼」에 계정명·휴대폰번호 제출하면 응모 끝!
※ 정답 「O · X · O」
#기프티콘 #이벤트 #상품권
Ondo Intelligent Portfolios, 한 달 만에 TVL $30M · 토큰화 포트폴리오 1위
Ondo의 토큰화 포트폴리오 상품이 출시 한 달도 안 돼 TVL 3천만 달러를 넘겼어요.
일주일 새 46% 늘면서 토큰화 포트폴리오 분야 1위에 올랐어요.
✅ 성과
🟢 TVL $30M+, 출시 한 달 이내
🟢 최근 1주일 +46%
🟢 토큰화 포트폴리오 분야 1위
✅ 상품 구성
🟢 포트폴리오 7종: 인컴 · 성장 · 테마형
🟢 그중 3종은 블랙록이 Ondo용으로 설계한 전략 기반
🟢 토큰 하나로 보유, 자유롭게 전송 가능
🟢 보유 자산 공개 · 리밸런싱 자동 실행
원문 X
#Ondo #블랙록 #RWA
🏠 오늘의 부동산 이슈
1⃣️ 중국인 보유 국내주택 6만채 돌파…30채 이상 외국인도 16명
• 중국인 보유 6만1439채
• 3년새 1만6550채·36.9%↑
• 30채 이상 외국인 16명
2⃣️ "1년새 8억 뛰어 44억"…평당 1억 클럽, 양천·과천까지 확산
• 아시아선수촌 99㎡ 44.5억
• 1년새 8억↑
• 양천 목동7·과천도 첫 1억
3⃣️ 3.5억 내고 35억 집?…은마 공공분양 시세차익 24억
• 재건축 첫 공공분양 195가구
• 84㎡ 28.2억 vs 시세 52억
• 청년·신혼 몫 65~75%
4⃣️ 서울 연말 입주 1100가구뿐…"전셋값 또 오른다"
• 11월 서울 488가구 입주
• 연말 두 달 1100가구
• 전국 1만1559가구, 49%↓
5⃣️ "전월세 안정은 2035년…지금이라도 집 사라"
• 서울 전세매…
AFME 보고서 "토큰화 자산 5년 새 55배", Ondo 대표 사례로 소개
유럽 주요 은행들을 대표하는 AFME가 토큰화 자산 시장 보고서를 냈어요.
2021년 7억 달러였던 시장이 올해 388억 달러까지 커졌고, Ondo가 대표 사례로 실렸어요.
✅ 시장 규모
🟢 2021년 $0.7B
🟢 2025년 $25.5B
🟢 2026년 현재까지 $38.8B
✅ 성장 포인트
🟢 국채를 넘어 다른 자산으로 확산
🟢 토큰화 주식 357% 급증
🟢 사모펀드 · 벤처캐피털 노출 3배 이상
🟠 Ondo USDY · Ondo Stocks가 분야별 대표 상품으로 언급
🟠 AFME: 토큰화 기술이 시장에서 점점 중요한 축이 되는 중
원문 X
#Ondo #RWA #토큰화
이젠 너밖에 없다 스웜 네트워크 $TRUTH
비트코인, 미국 주식 사놓은거 다 물려서
최근 한달 사이에
약 3~4억 손해 찍었어요
걍 뭘하든 의욕이 안생겨서 요즘 잠만 쳐자는중
스웜 노드는 옛날에 노드 왕창 사놓은거 진즉 멘징하고
매일 32만원 상당 토큰 클레임 중인디
이색희들이 약 2.5일 정도 딜레이 시키며 주고 있어서
실질적인 하루 수익은 13만원 정도🥹
그래도 이 야락장에 너무 감사한 금액이네요
다만 언제 토큰 배분 중단하고 빤스런할지 몰라서 너무 여기에 의지 안하려고 노력중
❤5☃2🔥2👍1
Showing the 12 most recent of 1,543 posts we hold for @GemHive. 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.
Posts edited after publishing
@GemHive edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
31 August 2026
Most recent edit
31 August 2026
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 2 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.
Handles this channel named that no longer answer
Dead references
10
handles named in this channel’s posts, vacant today
Evidenced gone
1
we ourselves saw one of these resolve, at some point
Never seen alive
9
vacant every time we have ever looked
@GemHive named 10 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
@seoulgirlai named in 1 post, 24 August 2026 – 24 August 2026 · confirmed gone 14 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@prosperdesk named in 1 post, 2 October 2026 – 2 October 2026
@heyelsa_korea named in 1 post, 30 September 2026 – 30 September 2026
@six46 named in 1 post, 3 September 2026 – 3 September 2026
@lucky named in 1 post, 3 September 2026 – 3 September 2026
@kc384 named in 1 post, 3 September 2026 – 3 September 2026
@ssae2 named in 1 post, 3 September 2026 – 3 September 2026
@zetachain_kr named in 1 post, 2 September 2026 – 2 September 2026
@zetachain named in 1 post, 2 September 2026 – 2 September 2026
@grkalis named in 1 post, 27 August 2026 – 27 August 2026
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 27 October 2026 — this
entry's latest reading, not the date you are reading this.
“젬하 크립토(GemHive)🦄 경제적 자유 이루기” (@GemHive), 22,940 subscribers as measured 27 October 2026. Telegram Register, tgregister.com/channel/GemHive.
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.