[하나증권 반도체 김록호/박규연] Industry Research 링크: https://vo.la/C0pvDJ4 반도체/소부장(Overweight): 견조한 업황과 예상을 상회하는 메모리 가격 ■ 데이터 포인트 및 주간 리뷰: 소부장 강한 반등 9월 20일까지 영업일 평균 메모리 반도체 수출금액은 전년동월대비 262% 증가한 15.4억달러를 기록했음. 9월 10일까지 잠정치인 13.0억달러와 비교하면 DRAM·NAND·SSD 중심으로 일평균 수출금액이 상승했으나, MCP는 소폭 하락했음. 구체적으로 DRAM은 전년동월대비 530% 증가한 7.6억달러, NAND는 240% 증가한 1.1억달러를 기록했음. MCP와 SSD는 각각 135%, 203% 증가한 5.6억달러와 1.5억달러를 달성했음. 다만 전월 영업일 평균 대비로는 메모리 전체…

Channel
Yeouido Lab_여의도 톺아보기
@Yeouido_Lab
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Citations · Telegram's recommendations · Cite this entry
43,309subscribers
+73 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1001657785983 |
|---|---|
| Type | Channel |
| Username | @Yeouido_Lab |
| Description | 前 헤지펀드 매니저와 前 애널리스트의 여의도 톺아보기. 기관투자자의 깊이있는 인사이트로 수많은 투자 정보 속에서 해자를 선별합니다. 해당 채널의 게시물은 단순 의견 및 기록용도이고 매수-매도 등 투자권유를 의미하지 않습니다. 해당 게시물의 내용은 부정확할 수 있으며 매매에 따른 손실은 거래 당사자의 책임입니다. 해당 게시물의 내용은 어떤 경우에도 법적 근거로 사용될 수 없습니다. |
| Created | 19 October 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 34 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/Yeouido_Lab |
Topic
Technology — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 45% 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 why it has no browse page of its own yet.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Sept 2026, 21:58 | 43,309 | +15 |
| 15 Sept 2026, 21:18 | 43,294 | +23 |
| 14 Sept 2026, 03:58 | 43,271 | -3 |
| 12 Sept 2026, 07:59 | 43,274 | -3 |
| 10 Sept 2026, 05:57 | 43,277 | +12 |
| 6 Sept 2026, 23:56 | 43,265 | -10 |
| 4 Sept 2026, 07:57 | 43,275 | +8 |
| 2 Sept 2026, 23:28 | 43,267 | -3 |
| 1 Sept 2026, 19:47 | 43,270 | -9 |
| 31 Aug 2026, 19:08 | 43,279 | -16 |
| 30 Aug 2026, 21:26 | 43,295 | -4 |
| 29 Aug 2026, 23:19 | 43,299 | -12 |
| 28 Aug 2026, 21:17 | 43,311 | +3 |
| 27 Aug 2026, 22:26 | 43,308 | +5 |
| 26 Aug 2026, 21:08 | 43,303 | +4 |
| 25 Aug 2026, 22:44 | 43,299 | -13 |
| 24 Aug 2026, 20:36 | 43,312 | +2 |
| 23 Aug 2026, 06:58 | 43,310 | +15 |
| 21 Aug 2026, 15:48 | 43,295 | -6 |
| 20 Aug 2026, 15:17 | 43,301 | first reading |
Engagement
675 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 101 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 12.1%
- avg views ÷ 43,309 subscribers
- Avg views / post
- 5,260
- 342 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 342
- of 675 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.
| Window | Rolling 30 days · latest post in window 27 September 2026 |
|---|---|
| Posts held | 675 (5 August 2026 – 27 September 2026) |
| Views total | 1,799,354 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 27 Sept 2026, 11:47 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
- ≈9,580
- Videos
- ≈76
- Links
- ≈20,000
Lifetime counters from Telegram’s own channel header, read 27 September 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.
Recent posts
안녕하세요. 지투지바이오입니다. 최근 당뇨·비만 치료제 시장을 중심으로 장기지속형 주사제(Long-acting Injectable)가 선택이 아닌 필수의 영역으로 자리 잡으며, 이를 구현하기 위한 다양한 장기지속형 플랫폼 기술들이 전 세계적으로 크게 주목받고 있습니다. 현재 당뇨·비만 치료제 시장의 글로벌 선도 기업들은 신약 개발뿐만 아니라, 환자의 편의성을 극대화하는 장기지속형 제형 확보를 위해 치열한 전략적 움직임을 보이고 있습니다. 이들은 단일 기술에 국한되지 않고 다양한 플랫폼 기술을 폭넓게 검토하며, 자사의 약물(물질)에 맞는 최적의 조합을 찾기 위해 다각적인 노력을 기울이고 있습니다. 시장 선도 기업과 신규 진출 기업 간의 전략이 다르고, 타깃 물질의 특성에 따라 요구되는 기술적 허들이 다르기 때문에 글로벌 제약사들의 플랫폼 …
바이오 가루되는 상황에서 시총 최상위 투탑 알테 HLB 호재가 나왔는데도 전닉 살 것 같다 ㅋㅋ
이전에는 이런 판결뜨면 원문이 바로바로 돌았는데 이젠 아무도 관심이 없네
[Biz&Law] 알테오젠 파트너 MSD, 할로자임 PH20 특허 2건 청구항 '특허성 없음' https://www.the-biz.co.kr/news/articleView.html?idxno=728392 알테오젠의 파트너사 MSD가 할로자임의 변형 PH20 관련 미국 특허 2건을 상대로 제기한 등록후검토(PGR)에서 심리 대상 청구항 전부가 특허성이 없는 것으로 판단됐다. 미국 특허심판원(PTAB)은 서면기재와 실시가능 요건을 충족하지 못했다고 봤다. 25일(현지시간) 미국 특허상표청(USPTO) 산하 PTAB는 MSD가 할로자임을 상대로 제기한 두 건의 등록후검토(PGR)에 대한 최종 서면결정을 내렸다. 대상은 미국 특허 제12,049,652호와 제12,104,185호로 각각 청구항 1·2 및 6~29와 청구항 1~4 및 7~11이 심리…
4Q를 앞두고 짚어보는 행간 : 화이자와 다중작용제 6월 15일 와이스트릿 인터뷰 당시에만 하더라도, 화이자의 224o 드랍이 공표되기 이전이었기 때문에 귀기울여 듣지 않았습니다. 인터뷰의 대부분이 DD01 과 관련된 이야기였는데요. 다시 들어보니 짚어볼 가치가 있는 행간들이 있네요. "글로벌 비만치료제 시장에서는 Lilly의 Retatrutide로 대표되는 GLP-1/GIP/Glucagon 삼중작용제에 대한 관심이 높으며, 화이자 역시 해당 영역에 관심이 많을 것이다. 디앤디파마텍은 일종의 Fast-Follower 전략을 사용하고 있기 때문에 Lilly·Novo 등 선도 업체의 기전과 임상 데이터를 참고해, 이후 더 개선된 프로파일의 펩타이드를 개발하는 방식을 활용중. Metsera에 기술수출된 다중작용제 역시 이러한 전략에서 개발…
>>저커버그, Muse 언급: AI Agent 폭발, ‘메타버스·스마트 글래스·대규모 AI 모델’ 3대 베팅이 교차 •Muse 출시 2주 만에 사용자가 수백만 명에 도달했으며, 저커버그는 “처음부터 홈런을 쳤다”고 평가. 개인용 AI Agent인 Muse는 향후 Ray-Ban 스마트 글래스에 전면 탑재될 예정. •메타버스, 스마트 글래스, 대규모 AI 모델에 대한 Meta의 3가지 베팅이 빠르게 하나로 결합되는 모습. AI Agent가 스마트 글래스를 통해 현실 세계와 직접 연결되는 형태로 발전할 전망. •저커버그는 이례적으로 Llama 4의 실패가 “가장 두려웠던 순간”이었다고 인정. 동시에 Meta가 5GW급 AI 컴퓨팅 클러스터 구축을 진행하고 있다고 밝힘 >扎克伯格谈Muse:AI Agent爆发,“元宇宙、智能眼镜和大模型”三大赌注完…
양국의 성명문 내용 비교: 희토류, 석유, 시장 개방 등 경제 분야 관련된 부분들을 중국은 모두 발표하지 않았습니다. 양국의 생각 차이가 그대로 드러나는 결과
1. AI CPU 인프라 계획이라는 점 2. 분산형 클라우드라는 점이 핵심입니다 추론이란거죠 아카마이와의 계약 관련 크게 네 가지 정도 이유를 생각해보면 첫 번째는 당연이 캐파 확보일 테고 두 번째는 CPU 작업은 굳이 초대형 클라우드 기업에게 맡길 필요가 없다는 거죠 세 번째는 그렇게 되면 비용을 아낄 수 있다는거고 (고급 호텔 주방에서 컵라면을 끓일 필요는 없으니까요) 네 번째는 빅테크 의존도를 낮출 수 있다는 점 등을 생각해 볼 수 있죠 ——————————— [아카마이, 앤트로픽과 116억달러 계약…AI CPU 인프라 대규모 확대] *앤트로픽, 아카마이와 7년간 116억달러 클라우드 계약 -아카마이가 앤트로픽과 7년간 116억달러 규모의 클라우드 인프라 계약을 체결. 앤트로픽은 아카마이의 분산형 클라우드 인프라와 소프트웨어를…
미국 10년물 국채금리 5%, 주식은 괜찮을까 하나증권 이재만 핵심 이재만 하나증권 애널리스트는 미국 10년물 국채금리가 5.16%(9/25)까지 올라 S&P500 대비 채권 매력이 2004년 이후 최고 수준에 이르렀지만, 최근 국제유가 하락이 실질금리 상승발 조정압력을 상쇄해왔다고 진단했다. 그는 유가가 이란 지정학 리스크 완화로 추가 하락하는 시나리오와, AI 하이퍼스케일러 CAPEX 확대가 금리를 떠받쳐 유가가 내려도 금리는 쉽게 안 떨어지는 시나리오를 나눠 업종별 대응 전략을 제시했다 주요 내용 • 10년물 국채금리 5.16%(9/25), S&P500 일드갭 3bp로 2004년 이후 최저 • 9월 금리 상승 41bp 중 실질금리 상승이 39bp 기여, 기대인플레이션 기여는 2bp • WTI 9월 고점 105.8달러→현재 92.4달러…
미국 Tech 투자 증가가 이끄는 현재 구조가 지속되면서 국제 유가가 하락해도 시중금리가 크게 하락하지 않는 상황 발생시.. - Capex 확대가 금리 상승을 주도할 경우 상승 업종이 확산될 여지 적음 - 미국 Capex 주도 업종과 국내 매출 상관계수가 높은 업종으로 집중될 가능성 높음 - 하이퍼스케일러 Capex와 매출상관계수 높은(0.9 이상) 업종은 IT하드웨어, 전력기기, 반도체
. https://n.news.naver.com/article/014/0005580875?sid=101
Showing the 12 most recent of 675 posts we hold for @Yeouido_Lab. 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.
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@V8foreverz · 52210 posts한투증권 미국/중국전략 정정영
@G2strategy · 16,2349 posts에테르의 일본&미국 리서치
@aetherjapanresearch · 34,5099 posts묻따방 🐕
@mootda · 19,6539 posts선수촌
@athletes_village · 21,6218 posts[신한 리서치본부] 제약/바이오
@bio_shinhan · 21,4378 posts지투지바이오
@g2gbiolove · 1457 posts팔칠사공스토너 실전투자 인사이트
@stoner8740 · 11,0127 posts순대렐라의 바이오 하우스
@BIOWORLDJD · 4,0626 posts엄브렐라리서치 Jay의 주식투자교실
@Jstockclass · 26,0676 postsAI 리서치 딥다이브_Seoul to Wall St.
@aicorporateanalysisdeepdive · 5,2436 posts카이에 de market
@cahier_de_market · 22,5056 posts서화백의 그림놀이 🚀
@easobi · 23,5976 posts미국 주식 인사이더 🇺🇸 (US Stocks Insider)
@insidertracking · 71,9906 postsTNBfolio
@TNBfolio · 24,6574 posts미래에셋 제약/바이오 김승민
@bioksm · 14,9264 posts딘스티커 Dean's Ticker
@d_ticker · 15,6634 posts디앤디파마텍 공식 IR 채널
@dndpharmatech · 3,6334 posts빠르고 정확한 주식정보방
@fastest_info1 · 13,3174 postsFOMO 4가투
@fourgachi · 8,3844 posts프리라이프
@free_life59 · 12,7064 posts허혜민의 제약/바이오 소식통
@huhpharm · 24,2824 posts실시간 역외 첩보망 PRO
@hyperspect · 4,2954 postsKK Kontemporaries
@kkkontemp · 19,8534 posts김치터미널
@KimchiTerminal · 4,5703 posts에이프릴바이오 공식IR채널: 리레이팅 2026
@aprilbioipr · 4,4983 posts벨루가의 주식 헤엄치기
@beluga_investment · 7,4903 posts상장기업 수사대 ☎️
@cyber_rangers · 16,9733 posts건설/조선/리츠 | 강경태 | 한국투자증권
@enc210406 · 9,4133 posts💰월급으로부터해방💶
@freedomfromsalary · 6103 posts하나증권 미국주식 강재구
@hana_us_stock · 11,1573 posts이지스스트레티지 리서치
@jeilstock · 26,4083 posts키움증권 해외선물 톡톡
@kwtok · 9,4193 posts요약하는 고잉
@one_going · 47,4003 posts제약/바이오/미용 원리버 Oneriver
@pharmbiohana · 29,8123 posts[ IT는 SK ]
@skitteam · 18,0093 posts더바이오 뉴스룸
@thebio111 · 6,5133 postsTIME ACT!VE ETF
@activeetf · 9,6442 posts알파 시그널
@alphasignal_now · 8,7442 posts블록미디어
@blockmedia · 33,5072 posts
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 6 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.
@hyperspect · 4,2954 postsMarket News Feed
@marketfeed · 38,7604 posts[ IT는 SK ]
@skitteam · 18,0093 posts알파 시그널
@alphasignal_now · 8,7442 postsTNBfolio
@TNBfolio · 24,6572 posts주식소리통 NEO by Bilanx Research
@davidstocknew · 17,3781 postDS투자증권 리서치
@DSInvResearch · 12,7681 postDS Tech 이수림
@dssemicon · 5,4011 post그로쓰리서치(Growth Research) [독립리서치]
@growthresearch · 40,1591 post한화투자증권 음식료/화장품 한유정
@hanwha_yujunghan · 1,1611 postDAOL 조선/기계/방산 | 최광식
@HI_GS · 17,0621 post리딩투자증권 리서치센터
@leadingR · 4,2791 post올릭스(주) - OliX Pharmaceuticals
@olix_official · 3,8001 post[삼성 이영진] 글로벌 AI/SW
@Samsung_Global_AI_SW · 12,1091 post탐방왕
@tambangwang · 10,0661 postW리서치
@Wave_Research · 1,8261 post
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.
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.
@daegurr · 23,375#1
@fourgachi · 8,384#2
@FastStockNews · 128,921#3
@bbong_tta · 12,692#4
@hogniel · 15,315#5
@bumgore · 35,352#6
@bufkr · 22,185#7
@kimcharger · 24,877#8
@tazastock · 40,320#9
@corevalue · 67,505#10
@Ten_level · 17,116#11
@hedgehara · 19,075#12
@yaza_stock · 13,107#13
@awake_realtimeCheck · 22,632#14
@stocktrip · 7,288#15
@athletes_village · 21,621#16
@Onionfarmer · 15,975#17
@bornlupin · 48,199#18
@mstaryun · 18,661#19
@pharmbiohana · 29,812#20
@bdragon0808 · 13,384#21
@easobi · 23,597#22
@YeouidoStory2 · 58,411#23
@sunstudy1234 · 54,428#24
@fastest_info1 · 13,317#25
@slsyphus · 4,401#26
@upper_limit_price · 8,003#27
@quantum_ALGO · 7,549#28
@Fire_Direction_Center · 5,489#29
@psychotherapy101 · 5,959#30
@insangnism · 11,308#31
@Dogrini · 4,770#32
@growthresearch · 40,159#33
@getfeed · 8,783#34
@choaz1 · 7,068#35
@knowledge_to_wealth · 14,145#36
@CTTResearch · 6,905#37
@cyber_rangers · 16,973#38
@Jstockclass · 26,067#39
@anysong_Technon · 4,976#40
@stockinvcowcow · 13,942#41
@GoUpstock · 20,978#42
@jake8lee · 17,256#43
@stbridgee · 4,685#44
@habit4117 · 27,930#45
@econostudy · 8,538#46
@EarlyStock1 · 24,402#47
@TambangVot · 8,598#48
@Korea_value · 5,488#49
@awake_schedule · 17,220#50
@darthacking · 65,078#51
@hermitcrab41_1 · 20,334#52
@TRENDSETTERVERSION2 · 3,929#53
@G2strategy · 16,234#54
@bbanjil · 10,732#55
@aetherjapanresearch · 34,509#56
@survival_DoPB · 22,243#57
@aptvalueprice · 10,716#58
@ym_research · 40,071#59
@gaoshoukorea · 41,159#60
@bumsong2 · 13,092#61
@orangeboard · 4,678#62
@mztanyong · 5,980#63
@redbirdstock · 9,963#64
@allbareun · 12,221#65
@investment_puzzle · 14,375#66
@stockgrandmaster · 10,920#67
@cpshelter · 5,427#68
@yieldnspread · 22,018#69
@mk81_koreainvestment · 16,327#70
@hanagae · 4,642#71
@yakjangsu · 11,424#72
@seokokang · 6,191#73
@desperatestudycafe · 18,824#74
@theelec · 10,807#75
@triple_stock · 12,879#76
@selfstudystock · 3,734#77
@pengmeup · 9,129#78
@thesis_true · 2,324#79
@mistergray_11 · 19,521#80
@TNBfolio · 24,657#81
@Kyaooo · 17,390#82
@rafikiresearch · 20,596#83
@hwalja · 3,558#84
@tteoksangMalangCow · 53 (as read 2 September 2026)#85
@HANAchina · 35,301#86
@merITz_tech · 24,059#87
@jeilstock · 26,408#88
@pikachu_aje · 25,217#89
@shlrkQhqgla · 5,792#90
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.
@corevalue · 67,505
Telegram ranks this channel #2 of 93 here — alongside 92 others — read 2 September 2026
@YeouidoStory2 · 58,411
Telegram ranks this channel #5 of 92 here — alongside 91 others — read 2 September 2026
@GoUpstock · 20,978
Telegram ranks this channel #8 of 83 here — alongside 82 others — read 25 September 2026
@FastStockNews · 128,921
Telegram ranks this channel #8 of 92 here — alongside 91 others — read 2 September 2026
@bumgore · 35,352
Telegram ranks this channel #8 of 89 here — alongside 88 others — read 2 September 2026
@bufkr · 22,185
Telegram ranks this channel #9 of 89 here — alongside 88 others — read 21 September 2026
@realtime_stock_news · 37,210
Telegram ranks this channel #9 of 93 here — alongside 92 others — read 2 September 2026
@sunstudy1234 · 54,428
Telegram ranks this channel #9 of 89 here — alongside 88 others — read 2 September 2026
@maddingStock · 20,387
Telegram ranks this channel #11 of 87 here — alongside 86 others — read 27 September 2026
@pharmbiohana · 29,812
Telegram ranks this channel #11 of 89 here — alongside 88 others — read 7 September 2026
@bornlupin · 48,199
Telegram ranks this channel #11 of 91 here — alongside 90 others — read 2 September 2026
@tazastock · 40,320
Telegram ranks this channel #13 of 89 here — alongside 88 others — read 2 September 2026
@athletes_village · 21,621
Telegram ranks this channel #14 of 88 here — alongside 87 others — read 23 September 2026
@awake_realtimeCheck · 22,632
Telegram ranks this channel #15 of 92 here — alongside 91 others — read 20 September 2026
@huhpharm · 24,282
Telegram ranks this channel #18 of 93 here — alongside 92 others — read 16 September 2026
@EarlyStock1 · 24,402
Telegram ranks this channel #26 of 91 here — alongside 90 others — read 16 September 2026
@kimcharger · 24,877
Telegram ranks this channel #26 of 88 here — alongside 87 others — read 15 September 2026
@HS_academy · 36,164
Telegram ranks this channel #28 of 90 here — alongside 89 others — read 8 September 2026
@HANAchina · 35,301
Telegram ranks this channel #29 of 92 here — alongside 91 others — read 2 September 2026
@stock_messenger · 25,581
Telegram ranks this channel #30 of 90 here — alongside 89 others — read 14 September 2026
@darthacking · 65,078
Telegram ranks this channel #30 of 91 here — alongside 90 others — read 2 September 2026
@SmallCap · 23,176
Telegram ranks this channel #33 of 96 here — alongside 95 others — read 19 September 2026
@daegurr · 23,375
Telegram ranks this channel #33 of 83 here — alongside 82 others — read 18 September 2026
@Jstockclass · 26,067
Telegram ranks this channel #33 of 90 here — alongside 89 others — read 13 September 2026
This channel appears in 41 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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“Yeouido Lab_여의도 톺아보기” (@Yeouido_Lab), 43,309 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/Yeouido_Lab.
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.