Crypto & trading — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 44% 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 6 other registered channels. This entry also sits inside a group of 3 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. 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.
Matching posts — open both and compare (6 of the pairs behind the counts below)
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. 70 of the 70 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.
“Published first” means first in this corpus. We hold 1,605 comparable posts for this entry, running 5 August 2026 to 10 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).
Of the group of 3 channels, the one whose matching posts we hold earliest is @growthresearch — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the keys clone_copy · clone_mutual · clone_source, last confirmed 11 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.
Channels linked by matching posts
This channel is in a group of 3 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.
Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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.
63 measurements spanning 97 days, net +901. 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 39,018–40,333 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)
Subscribers
Change
11 Nov 2026, 00:07
40,090
-6
8 Nov 2026, 04:21
40,096
-3
7 Nov 2026, 03:34
40,099
-12
6 Nov 2026, 01:19
40,111
-31
4 Nov 2026, 23:38
40,142
-2
3 Nov 2026, 20:37
40,144
+5
2 Nov 2026, 21:01
40,139
+3
1 Nov 2026, 21:09
40,136
-1
30 Oct 2026, 23:17
40,137
-22
30 Oct 2026, 00:47
40,159
-9
28 Oct 2026, 22:37
40,168
-7
27 Oct 2026, 22:25
40,175
-6
26 Oct 2026, 23:05
40,181
+32
25 Oct 2026, 22:06
40,149
+13
24 Oct 2026, 19:17
40,136
+8
23 Oct 2026, 18:16
40,128
+9
22 Oct 2026, 21:18
40,119
-22
21 Oct 2026, 17:51
40,141
+10
20 Oct 2026, 16:28
40,131
-11
19 Oct 2026, 14:59
40,142
first reading
Engagement
1,646 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 184 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
7.25%
avg views ÷ 40,090 subscribers
Avg views / post
2,910
535 posts measured
Reaction rate
0.289%
reactions ÷ views · ER floor
Posts in window
535
of 1,646 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 533 of 535 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 10 November 2026
Posts held
1,646 (5 August 2026 – 10 November 2026)
Views total
1,555,954
Reactions total
4,468
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
10 Nov 2026, 22:12 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
Video runtime
45m 27s
Average length
1m 16s
Measured directly from 36 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
8,754 reactions across 995 posts, in 5 distinct kinds. The most used accounts for 66.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
5,823
66.5%
👍
1,904
21.8%
🔥
710
8.11%
👏
297
3.39%
🥰
20
0.228%
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 995 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 8,754 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 9 September 2026 to 10 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.
Recent posts
Telegram’s own ‘edited’ marker: 23 of 535 posts held from the last 30 days (4.30%) 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).
💻앤트로픽(ANT), 기업가치 1.4조 달러 IPO 추진... 프런티어 AI 연구소 최초 상장, 사상 최대 공모 규모
📌 공모 개요
완전희석 기준 기업가치 약 1.4조 달러. 공모가 상단 기준 시가총액은 약 1조 달러
공모가 희망 범위 주당 70~78달러, 나스닥 글로벌 셀렉트 마켓 상장 예정, 티커 ANT
기본 공모 최대 644억 달러(신주 8.01억 주 + 기존 주주 구주 2,360만 주)
여기에 260억 달러 규모 사모 배정을 더해 총 최대 904억 달러 조달. 초과배정옵션(그린슈)까지 포함하면 약 1,000억 달러로
스페이스X(기본 750억 달러, 그린슈 포함 862억 달러)를 넘어서는 사상 최대 규모
사모 배정 참여사: AMD, 브로드컴, 구글, 마이크론, 마이크로소프트, 엔비디아, TSMC
공모가 확정은 11월 18일(…
🎬 중간선거 민주당이 이겼는데 2차전지가 멈춘 이유ㅣ중간선거 이후 반도체·2차전지 투자 기준
https://www.youtube.com/watch?v=wccQGx-wdsU
📌 1. 엔비디아 급락과 AI 메모리 수요
필라델피아 반도체 지수 6.86% 상승, 엔비디아 4.27% 하락
엔비디아 경영진 관련 불확실성과 빅테크 AI 투자 수요를 구분해 판단
AMD·맞춤형 AI 반도체로 수요가 이동해도 삼성전자·SK하이닉스의 HBM 공급 기회 지속 가능
📌 2. 민주당 승리 이후 2차전지 투자 기준
민주당 하원 예상 의석 255석, 대통령 거부권을 넘기 위한 290석에 미달
추가 보조금 확대에는 공화당 협조가 필요하며, 기존 AMPC 축소·폐지 위험 완화에 주목
미국 현지 생산능력·AMPC 수령·북미 ESS 수주가 기업별 실적 판단 기준
…
🧬 알테오젠 부담 덜었다…할로자임 피하주사 특허 미국서 또 제동
https://biz.chosun.com/science-chosun/bio/2026/11/10/EBGMPDET6ZD57JCLBVLAN7PTYI/
MSD가 할로자임과의 피하주사(SC) 제형 특허 분쟁에서 또다시 유리한 결정을 확보했습니다.
미국 특허심판원(PTAB)이 할로자임의 특허 청구항 30개 모두의 특허성을 부정하면서, 알테오젠의 ALT-B4가 적용된 키트루다 큐렉스의 미국 특허 부담이 줄어들 가능성이 커졌습니다.
💊 MSD, 할로자임 특허 30개 청구항 전부 무효 판단
미국 PTAB가 할로자임의 미국 특허 제12,037,618호에 대한 등록 후 무효심판(PGR) 결정
심판 대상 30개 청구항 전부 특허성 부정, 할로자임은 앞서 10개 청구항 포기
핵심은 PH20 …
💻엔비디아 NVHBM, HBM 설계 주도권을 가져가다
📌핵심 내용
엔비디아(NVDA)가 커스텀 HBM인 NVHBM의 공통 제조 사양을 삼성전자, SK하이닉스, 마이크론 3사에 요구
베이스다이는 TSMC(TSM) 3nm 공정, 코어다이는 1c D램(10나노급 6세대)으로 통일
공정과 설계를 하나로 맞추면서 엔비디아는 공급사 3곳을 각각 검증할 필요 없이 한 번의 퀄 테스트로 끝낼 수 있음
삼성전자 파운드리 사업부도 내부 검토 끝에 수용. 삼성이 HBM 베이스다이를 TSMC에 맡기는 것은 처음
일부 보도에서는 HBM4E 대비 대역폭 최대 +30%, 전력 -15% 효과를 언급하지만 아직 확인되지 않은 수치
📌구조 변화: 메모리 컨트롤러가 베이스다이로 이동
지금까지 GPU 안에 있던 메모리 컨트롤러를 HBM 베이스다이에 넣는 구조
그만큼…
💻 삼성전자, 첨단 패키징 '3D 큐브-H' 내년 초 개발완료 목표
https://zdnet.co.kr/view/?no=20261110104822
삼성전자가 하이브리드 본딩 기반 3D 패키징 기술 '큐브-H'를 2027년 초까지 개발한다는 계획입니다.
기존 TC본딩보다 칩 간 연결 간격을 대폭 줄여 AI 반도체의 성능과 전력 효율을 높이는 기술로, 향후 글로벌 빅테크의 첨단 패키징 수주 경쟁에서 중요한 역할을 할 전망입니다.
📌 2027년 초 3D 큐브-H 개발 완료 목표
삼성전자가 하이브리드 본딩 기반 3D 큐브-H 첫 디자인 키트를 2027년 초 완성할 계획
디자인 키트 완성 이후 잠재 고객사와 기술 평가에 착수할 예정
기존 TC본딩 기반 3D 큐브-T에 이어 차세대 3D 적층 패키징 기술 확보 추진
📌 칩 연결 간격 25㎛ …
✅ 그래피 "치과 3D프린팅 소재 5종 유럽 CE-MDR 심사 완료"
https://www.newsis.com/view/NISX20261110_0003862002
📌 유럽 의료기기 인증 마지막 관문 통과
• 그래피, 치과용 3D프린팅 소재 5종에 대한 유럽 CE-MDR 적합성 평가 및 최종 심사 완료
• 인증서 발급만 남은 상태로, 발급 이후 유럽 시장 내 제품 공급 확대 기반 확보
📌 독일 중심 유럽 유통망 확대 가속화
• 독일을 비롯한 유럽 주요 시장에서 현지 유통망 및 파트너사와 사업 협력 확대 추진
• 최종 인증서 발급 이후 핵심 소재 공급과 신규 거래처 확보에 속도를 낼 계획
📌 형상기억 투명교정 기술로 시장 차별화
• 자체 개발한 SMA는 디지털 설계 기반 3D프린팅과 형상기억 소재를 결합한 투명교정장치
• 기존 열성형…
🧬 美, 中 우시앱텍 블랙리스트서 뺐다…韓 CDMO 수혜론 시험대
https://n.news.naver.com/mnews/article/366/0001203746
💊 우시앱텍, 美 국방부 1260H 명단 제외
미국 국방부, 중국 CDMO 기업 우시앱텍(WuXi AppTec)을 중국군사기업 명단에서 제외
11월 5일부터 효력 발생
지난 8월 미국 법원이 우시앱텍의 가처분 신청을 인용한 데 따른 후속 조치
다만 국방부는 추가 근거 확보 시 재등재 가능성 열어둠
💊 생물보안법 규제 불확실성은 여전
1260H 명단은 생물보안법상 우려 바이오기업(BCC) 지정과 연계
다만 1260H 등재가 BCC 자동 지정을 의미하지는 않음
12월 18일 전후 발표 예정인 BCC 명단이 핵심 변수
최종 명단과 시행 기준에 따라 중국 바이오기업의 미국 …
🧬 강스템바이오텍, 투자자 FAQ 공개 내용 분석
https://kangstem.com/board/irletter/view?c=irletter&i=920
강스템바이오텍이 IR Letter를 통해 주주 질문 7개에 대한 답변을 공개했습니다.
오스카(OSCA) 기술이전 일정부터 후속 임상, 비용 절감 규모까지 구체적인 숫자가 나왔네요.
🔥 강스템바이오텍 탐방보고서 보러가기
https://contents.premium.naver.com/growthresearch/growth/contents/261104181719733dp
[FAQ 주요 내용]
💊 오스카 글로벌 기술이전, ’27년 목표
2a상 톱라인 발표 이후 기존 잠재 파트너사와 논의 가속화, 신규 후보사도 추가
BIO-Europe 2026에서 오스카 중심으로 다수의 파트너 미팅 확정…
💻 테슬라, 옵티머스용 AI6 칩 LPDDR6 메모리 용량 33% 축소 추진
https://www.chinaflashmarket.com/newsflash/39255
외신이 업계 관계자를 인용해 보도한 내용에 따르면,
테슬라가 휴머노이드 로봇 옵티머스(Optimus)에 탑재할 차세대 AI6 칩의 LPDDR6 메모리 용량을 기존 216GB에서 144GB로 축소한 것으로 알려짐.
📌 주요 내용
메모리 용량 216GB → 144GB (33.3% 감소)
AI 서버용 LPDDR 수요 증가로 메모리 확보 경쟁 심화
옵티머스 대량 양산에 필요한 메모리 물량을 안정적으로 확보하기 위한 조치
로봇 1대당 메모리 비용 절감 효과도 기대
메모리 용량은 줄이되 데이터 전송 대역폭은 기존 설계 수준 유지
📌 테슬라의 판단
머스크는 메모리 용량 축소가 옵…
💻 앤트로픽: IPO 신고서에 오류가 포함되어 있었음
📌 로이터 통신에 따르면
앤트로픽이 투자은행에 자사의 IPO 신고서에 잘못된 수치가 포함되어 있다는 사실을 알렸음
수정된 수치는 곧 발표될 예정이라고 함
💻반도체 소부장💻[그로쓰리서치]
https://telegram.me/growth_semi
✅ 상장사 10곳 중 7곳 주주 감소했는데 "삼전·닉스만 북적"
https://n.news.naver.com/mnews/article/119/0003153294
📌 소액주주 현황 (2024년 말 → 2026년 상반기)
조사 대상: 상장사 1,992곳
주주 감소 기업: 1,384곳 (69.5%)
주주 증가 기업: 601곳 (30.2%)
전체 소액주주 수 합계: 6,552만 → 8,137만 (+24.2%)
📌 주요 기업별 소액주주 수
삼성전자: 516만 → 797만 명 (+54.5%)
SK하이닉스: 78만 → 346만 명 (+343.3%)
LS일렉트릭: 6.5만 → 53.6만 명 (+720.3%)
두산에너빌리티: +279.9%
한미반도체: +198.5%
삼성중공업: +177.5%
📌 주주 수는 늘었지만 보유주식은 감소
소액주…
❤6
Showing the 12 most recent of 1,646 posts we hold for @growthresearch. 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 27 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@growthresearch named 1 handle 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.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@growthresearchc named in 1 post, 5 September 2026 – 5 September 2026
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 2 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
피카츄 아저씨⚡️ @pikachu_aje · 24,923 Telegram ranks this channel #5 of 91 here — alongside 90 others — read 14 September 2026
[메리츠 Tech 김선우, 양승수, 김동관] @merITz_tech · 24,795 Telegram ranks this channel #7 of 92 here — alongside 91 others — read 17 September 2026
이지스스트레티지 리서치 @jeilstock · 26,244 Telegram ranks this channel #11 of 93 here — alongside 92 others — read 12 September 2026
⚡️번개맞은뉴스 - 상위2% 주식텔레그램 채널 @stock_messenger · 25,226 Telegram ranks this channel #13 of 90 here — alongside 89 others — read 14 September 2026
엄브렐라리서치 Jay의 주식투자교실 @Jstockclass · 26,513 Telegram ranks this channel #17 of 90 here — alongside 89 others — read 13 September 2026
시황맨의 주식이야기 @shmstory · 39,582 Telegram ranks this channel #20 of 89 here — alongside 88 others — read 2 September 2026
허혜민의 제약/바이오 소식통 @huhpharm · 24,265 Telegram ranks this channel #21 of 93 here — alongside 92 others — read 16 September 2026
키움증권 미국주식 톡톡 @kwusa · 36,213 Telegram ranks this channel #21 of 92 here — alongside 91 others — read 2 September 2026
타점 읽어주는 여자(타자) @tazastock · 40,945 Telegram ranks this channel #22 of 89 here — alongside 88 others — read 2 September 2026
여의도스토리 Ver2.0-习近平是个狗东西 @YeouidoStory2 · 57,966 Telegram ranks this channel #22 of 92 here — alongside 91 others — read 2 September 2026
[하나증권 ETF] 박승진 @globaletfi · 20,575 Telegram ranks this channel #23 of 86 here — alongside 85 others — read 28 September 2026
습관이 부자를 만든다. 🧘 @habit4117 · 28,313 Telegram ranks this channel #23 of 87 here — alongside 86 others — read 10 September 2026
급등일보 미국주식🇺🇸 속보·매크로·리서치 @FastStockNewsUSA · 41,019 Telegram ranks this channel #24 of 89 here — alongside 88 others — read 2 September 2026
실시간 주식 뉴스 @realtime_stock_news · 36,964 Telegram ranks this channel #25 of 93 here — alongside 92 others — read 2 September 2026
도PB의 생존투자 @survival_DoPB · 22,062 Telegram ranks this channel #27 of 90 here — alongside 89 others — read 21 September 2026
💯똥밭에 굴러도 주식판 @daegurr · 23,776 Telegram ranks this channel #27 of 83 here — alongside 82 others — read 18 September 2026
오를주식 - 뉴스/경제/주식 @GoUpstock · 21,089 Telegram ranks this channel #28 of 83 here — alongside 82 others — read 25 September 2026
주식 급등일보🚀급등테마·대장주 탐색기 | Korean Stocks @FastStockNews · 128,822 Telegram ranks this channel #31 of 92 here — alongside 91 others — read 2 September 2026
Yeouido Lab_여의도 톺아보기 @Yeouido_Lab · 43,456 Telegram ranks this channel #33 of 90 here — alongside 89 others — read 2 September 2026
선수촌 @athletes_village · 22,138 Telegram ranks this channel #34 of 88 here — alongside 87 others — read 23 September 2026
TNBfolio @TNBfolio · 25,170 Telegram ranks this channel #34 of 93 here — alongside 92 others — read 15 September 2026
회색인간의 매크로 + 투자 @mistergray_11 · 19,792 Telegram ranks this channel #37 of 78 here — alongside 77 others — read 1 October 2026
Buff @bufkr · 21,585 Telegram ranks this channel #38 of 89 here — alongside 88 others — read 21 September 2026
서화백의 그림놀이 🚀 @easobi · 23,386 Telegram ranks this channel #39 of 87 here — alongside 86 others — read 18 September 2026
This channel appears in 45 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 11 November 2026 — this
entry's latest reading, not the date you are reading this.
“그로쓰리서치(Growth Research) [독립리서치]” (@growthresearch), 40,090 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/growthresearch.
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.