This channel’s posts match, word for word or near enough, posts on 1 other registered channel, 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 — 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 — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s 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 — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
8 measurements spanning 8 days, net +7. 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 12,765–12,776 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Aug 2026, 16:36
12,773
+2
13 Aug 2026, 05:29
12,771
-3
12 Aug 2026, 04:22
12,774
-1
11 Aug 2026, 02:24
12,775
+3
9 Aug 2026, 02:51
12,772
+5
7 Aug 2026, 23:26
12,767
+1
6 Aug 2026, 22:52
12,766
no change
6 Aug 2026, 10:07
12,766
first reading
Engagement
76 posts held, back to 3 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 18 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
10.8%
avg views ÷ 12,773 subscribers
Avg views / post
1,380
76 posts measured
Reaction rate
0.467%
reactions ÷ views · ER floor
Posts in window
76
of 76 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 68 of 76 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 August 2026
Posts held
76 (3 August 2026 – 14 August 2026)
Views total
104,624
Reactions total
437
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
15 Aug 2026, 00:12 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
≈412
Links
≈3,300
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.
Reaction mix
437 reactions across 68 posts, in 18 distinct kinds. The most used accounts for 55.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
244
55.8%
👍
88
20.1%
👏
30
6.86%
🦄
27
6.18%
🙏
10
2.29%
🤔
9
2.06%
🤯
9
2.06%
😁
5
1.14%
✍
3
0.686%
☃
2
0.458%
🔥
2
0.458%
😢
2
0.458%
🍾
1
0.229%
🎅
1
0.229%
💊
1
0.229%
🕊
1
0.229%
🤡
1
0.229%
🥰
1
0.229%
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 68 of the 76 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 437reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 76 most recent posts we hold, published 3 August 2026 to 14 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.
(2)
- 다리오 아모데이(Dario Amodei)가 이끄는 이 스타트업은 6월 증권거래위원회(SEC)에 상장 서류를 제출했고, 이에 따라 재무 성과에 관한 공개 발표가 제한되는 침묵 기간에 들어간 상태
- 앤스로픽은 올해 경쟁사인 오픈AI(OpenAI)와 구글(Google)을 따라잡으며, 경쟁 모델들을 능가하는 성능의 모델을 내놓는 동시에 기업 고객 대상 판매에 집중해 왔음.
- 회사는 지난 5월 연환산 매출이 470억 달러를 넘어섰다고 발표한 바 있음
- 벤처캐피털과 국부펀드를 비롯한 기관투자자들은 2026년 한 해 동안 이 회사에 1,000억 달러에 육박하는 자금을 쏟아부었음.
- 앤스로픽의 기업가치는 5월 처음으로 오픈AI를 앞질렀고, 신규 투자를 포함해 9,650억 달러에 도달했음
- 그러나 회사가 안고 있는 불확실성도 만만…
Anthropic investors bet on $2tn valuation in record IPO (8/13, 어제)
- 앤스로픽 투자자들은 이 AI 스타트업이 오는 10월 2조 달러 이상의 기업가치로 상장할 것으로 보고 있으며, 이는 스페이스X(SpaceX)를 넘어서는 수준으로 역사상 최대 규모의 기업공개(IPO)가 될 만한 수치
- 앤스로픽 투자자 여섯 곳은 파이낸셜타임스(FT)에 회사의 매출이 가파르게 늘고 있어 가을로 예정된 상장에서 현재 기업가치의 두 배를 훌쩍 넘길 수 있을 것이라고 밝혔음.
- 그 정도 수준의 상장이 이뤄지면 설립 5년 차인 이 회사의 초기 투자자들에게 수십억 달러 규모의 차익이 돌아가겠지만, 동시에 AI 붐을 둘러싸고 점점 신경이 곤두서고 있는 공개시장을 시험대에 올리는 일이 될 것으로 보임.
- 앤스로…
[Web발신]
안녕하십니까
유진투자증권 허재환입니다
=Mini QE=
* 7월말~8월초 이후 반도체와 글로벌 증시는 다시 힘을 내고 있습니다. 돌이켜 보면 7월말에 있었던 일은 세 가지입니다.
* 1) 빅테크 실적 발표 마무리 이후 AI 우려 완화, 2) 유가 상승세 진정, 3) 미일 환율 공동 개입입니다.
* 주목할 점은 미일 환율 공동 개입입니다. 이번 개입이 매우 이례적인 것에 비해 효과는 길지 않았습니다. 엔달러는 개입 3일 이후 다시 약해졌습니다(155엔대에서 다시 159엔).
* 일본의 금리인상이나 재정지출 축소 없이 엔화 방향성을 돌리기에는 공동 개입 규모가 크지 않았기 때문입니다.
* 미국은 준비자산으로 보유 중인 유로화를 매도해 엔화를 샀습니다.
* 일본은 보유 중인 미국 국채를 FIMA (외국통화당국)창구에 담보…
안녕하세요, 유진투자증권 시황 담당 이준영 입니다. 자세한 내용은 자료 참고 부탁드립니다. 감사합니다!
Eugene Daily Snapshot - 반등 추세 이상 무(8/14)🫡
* 간밤 뉴욕증시 3대 지수 강세 마감 & S&P500 사상 최고 종가 경신, 장중 7,800p 돌파. 이틀 연속 인플레 완화 확인하며 강한 투자심리 유지. 반도체·AI 인프라가 전일 강세 이어가며 지수 견인. 7월 생산자물가 0.0%mom·+4.7%yoy로 예상치(+0.2%·+4.9%) 하회. 9월 FOMC 인상 확률 40% → 35%로 후퇴(CME FedWatch). 미국채 2Y·10Y -5bp 하락.
* 전일 국내 양대 증시는 4거래일 연속 상승 마감. 이틀째 코스피 강세 & 코스닥 강보합 구도. 실적·물가 동반 안도에 위험선호 확대. AI 인프라 호실적(…
[Web발신]
안녕십니까
유진투자증권 허재환입니다
=코스닥 수술=
* 어제 거래소는 주가 천원 미만 기업들 일부를 관리 종목으로 지정했습니다. 10월이면 상장폐지가 본격화됩니다.
* 동전주 관리와 상장폐지가 부실업체들을 아래 단에서 정리하는 과정이라면, 승강제는 우량기업들을 따로 구분해 위로 올리는 과정입니다.
* 9~10월 승강제 기준과 혜택을 발표할 예정인데, 서열화에 대한 벤처업계의 반발로 전면 시행은 내년초로 미뤄졌습니다.
* 이러한 코스닥 정책들은 도쿄증권거래소 사례를 참고한 것입니다.
* 22/4월 도쿄증권거래소는 5개로 구분된 시장을 3개로 통합하고, TOPIX 지수 개혁과 지배구조 개선을 투 트랙으로 진행했습니다.
* 막상 시장을 세 개로 구분하는 효과는 크지 않았습니다. 일본 당국이 '경과조치'를 부여해, 강등하기…
안녕하세요, 유진투자증권 시황 담당 이준영 입니다. 자세한 내용은 자료 참고 부탁드립니다. 감사합니다!
Eugene Daily Snapshot - 사이드카 타고 누가 돌아왔게(8/13)💨
* 간밤 뉴욕증시 3대 지수 혼조. 인플레 우려 후퇴 & AI 인프라 실적 랠리에 필 반도체(+2.5%) 강세 마감(다우 -0.04%·S&P500 +0.3%·나스닥 +0.5%). 7월 CPI +3.4%yoy(6월 3.5%·예상 부합)·+0.1%mom, 근원 +2.5%yoy (+0.2%mom) 기록. 9월 FOMC 인상 확률 48%→40%(CME FedWatch).
* AI 인프라 실적 견조. NBIS(+34.1%, 2Q AI클라우드 5.75억 달러·+514%yoy, 신규 수주 TCV 4배↑)·CRWV(+19.3%, 2Q 25.8억 달러·+112%yoy)…
Nebius Reports 514% Jump in AI Cloud Sales as Demand Booms
- 네비우스 그룹은 AI 연산 능력에 대한 수요가 강하게 몰리면서 2분기 클라우드 사업 매출이 514% 급증했다고 밝혔음
- 암스테르담에 본사를 둔 이 회사는 수요일 성명에서, 전체 사업의 대부분을 차지하는 AI 클라우드 매출이 이번 분기 5억7,500만 달러를 기록했다고 발표. 분기 총매출은 5억8,200만 달러를 넘어섰음.
- 이는 블룸버그가 집계한 애널리스트 추정치 평균인 5억5,700만 달러를 웃도는 수준
- 아르카디 볼로시(Arkady Volozh) 최고경영자는 성명에서 "이번 분기에 하기로 했던 일은 전부 해냈다"며 "대부분의 경우에는 그 이상을 해냈다"고 말했음.
- 성명에 따르면 이번 분기에 따낸 계약 규모는 직전 …
(2)
- 논쟁을 한층 복잡하게 만드는 것은, 0.25%포인트 한 차례 인상만으로는 별 효과가 없다는 인식이 연준 내부에 폭넓게 자리 잡고 있다는 점임.
- 지난달 금리 인상에 표를 던진 베스 해맥(Beth Hammack) 클리블랜드 연은 총재는 이번 주 0.25%포인트 한 번의 인상은 "경제에 그렇게 큰 영향을 주지는 못할 것"이라고 말했음.
- 그러면서 연준이 그런 조정을 연속적으로 이어가야 할 가능성이 크다고 밝혔지만, 몇 차례가 필요한지는 언급하지 않았음.
- 그는 이 선택을 정지 표지판 앞에서 브레이크를 밟는 일에 비유하며, 나중에 급하게 밟지 않으려면 미리 페달을 살짝 밟아둬야 한다고 설명했음.
- 동결에 찬성했던 메리 데일리(Mary Daly) 샌프란시스코 연은 총재는 지난주 한발 더 나아가, 점진적 조정이 과연 효과가 있을지 …
In-Line Inflation Reading Buys the Fed More Time to Defend Its Forecast, 닉 티미라오스(Nick Timiraos)
- 7월 물가 보고서는 시장 예상에 충분히 근접한 결과를 내놓으며, 다음 달 금리 인상에 나서야 한다는 연방준비제도(Fed)에 대한 압박을 덜어줬음.
- 다만 그 이후의 전망에 대해서는 별다른 해답을 주지 못했음.
- 올여름 들어 월간 물가 지표의 중요성은 한층 커졌음.
- 연준 인사들은 금리를 더 올리지 않아도 물가가 내려온다는 기존 전망을 계속 방어할 수 있을지, 아니면 그 목표를 달성하기 위해 금리를 인상해야 할지를 판단하는 국면에 놓여 있음.
- 6월과 7월 지표는 연준이 그 전망을 포기해야 할 만큼 물가 압력이 광범위하게 확산되고 있다는 신호를 보여주지는 않았음…
Showing the 12 most recent of 76 posts we hold for @huhjae. 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
@huhjae 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
15 August 2026
Most recent edit
15 August 2026
Citation-graph rank
Citation-graph rank — 23,304 of 1,350,102entries 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 14 August 2026 — this
entry's latest reading, not the date you are reading this.
“허재환 유진증권 전략” (@huhjae), 12,773 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/huhjae.
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.
