🔥미국주식, 암호화폐,국내주식 기업탐방 전문 독립리서치
📌 독립리서치 유튜브, 텔레그램 구독자 1위
📌 국내 상장기업 기업탐방 1,000회 이상
✅그로쓰리서치 실시간 정보 받기
https://t.me/growthresearch
✅실시간 상장주식 특징주 받아보기
https://t.me/rocket_news1
Created
30 August 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel)
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 word for word on 2 other registered channels. 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 (2 of the pairs behind the counts below)
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. 3 of the 3 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 32 comparable posts for this entry, running 5 August 2026 to 7 August 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).
Across the whole group of 3, the earliest publisher we hold 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, last confirmed 7 August 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.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 2 other registered channels, 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.
60 measurements spanning 92 days, net +922. 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 60
Measured (UTC)
Subscribers
Change
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
-17
18 Oct 2026, 13:37
40,159
+6
17 Oct 2026, 15:47
40,153
+8
16 Oct 2026, 15:31
40,145
first reading
Engagement
1,602 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 175 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
7.14%
avg views ÷ 40,111 subscribers
Avg views / post
2,860
559 posts measured
Reaction rate
0.304%
reactions ÷ views · ER floor
Posts in window
559
of 1,602 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 556 of 559 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 6 November 2026
Posts held
1,602 (5 August 2026 – 6 November 2026)
Views total
1,600,130
Reactions total
4,851
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Nov 2026, 09:59 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
≈14,100
Videos
≈758
Links
≈20,000
Lifetime counters from Telegram’s own channel header, read 6 November 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.
Video runtime
47m 27s
Average length
1m 21s
Measured directly from 35 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
8,838 reactions across 992 posts, in 5 distinct kinds. The most used accounts for 65.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
5,800
65.6%
👍
1,965
22.2%
🔥
747
8.45%
👏
305
3.45%
🥰
21
0.238%
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 993 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 8,838 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 7 September 2026 to 6 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: 24 of 559 posts held from the last 30 days (4.29%) 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).
📹미국 중간선거 이후 무엇을 살 것인가? 반도체 다음 승부처! HSL 파트너스 이형수 대표, 이정민 앵커
https://www.youtube.com/watch?v=5UeYBpIzt5w
📌 AI 다음 병목
AI 투자 중심이 GPU·HBM에서 CPU와 FCBGA 기판으로 이동 중
FCBGA 기판 주문 후 납기(리드타임)가 약 48~56주로 공급 부족이 심각
HDD 공급 부족을 대체하며 SSD 수요도 증가, 특히 QLC 기반 SSD가 주목
📌 QLC SSD와 솔리다임
QLC는 셀 하나에 4비트를 저장해 같은 공간에 더 많은 데이터를 담을 수 있으나 내구성은 상대적으로 낮음
AI 데이터센터에서 자주 쓰지 않는 콜드 데이터를 대규모로 저장해야 하면서 QLC SSD의 경제성이 부각
SK하이닉스가 인수한 솔리다임이 수혜 가능
솔리다임은 생산…
✅ 연매출 3조 눈앞…삼양식품, 3분기 또 ‘사상 최대’
https://www.g-enews.com/article/Distribution/2026/11/202611061621029928740eacf404_1
📌 3분기 매출·영업이익 동반 사상 최대
• 매출액: 7,918억 원 (YoY +25.3%)
• 영업이익: 1,962억 원 (YoY +49.9%)
• 영업이익률: 24.8%
→ 불닭 브랜드의 글로벌 판매 호조에 힘입어 분기 기준 역대 최대 실적 달성
📌 해외 매출 6,608억 원…전체의 83.5% 차지
• 해외 매출: 6,608억 원 (YoY +29.4%)
• 국내 매출: 1,311억 원 (YoY +7.9%)
📌 주요 지역별 매출 성장률
🇪🇺 유럽: 869억 원 (+65.5%)
🇺🇸 미국: 2,125억 원 (+36.6%)
…
✅ 주가에 고민이 많은 상장사 IR 담당자분들께 ✅
🔥위 사진은 그로쓰리서치 세미나실입니다. (여의도에 위치해있습니다)
120석 규모로, 대규모 IR 진행 시 활용하실 수 있습니다🔥
그로쓰리서치가 귀사의 IR/PR을 서포트합니다.
IR 담당자로 계시면서, 이런 고민 한 번쯤 해보셨을 겁니다.
📌 "우리 회사, 좋은 회사인데 왜 시장은 몰라줄까?"
요즘 코스닥, 정말 쉽지 않으시죠? 😥
상장폐지 규제까지 강해지면서
(올해 코스닥 상폐 대상 기업이 당초 50개사 내외에서
약 150개사 규모로 늘어날 것으로 추산됩니다)
이럴 때 IR의 본질은 결국 하나입니다.
🔥우리 회사의 진짜 가치를, 시장에 제대로 전달하는 것.
저평가의 상당 부분은 실적이 나빠서가 아니라,
"좋은 회사인데 시장이 아직 모르고 있어서"인 경우가 많습니다.
그…
✅ LG엔솔 빠진 2조 ESS 수주전…삼성SDI·SK온, 실적 반등 승부처
https://www.edaily.co.kr/news/read?newsId=05418566645643096
📌 역대 최대 7.08GWh 규모 ESS 입찰
• 제3차 ESS 중앙계약시장 입찰 규모 총 1,180MW(7.08GWh)
• 육지 1,100MW + 제주 80MW로 2차 입찰 대비 2배 이상 확대
• 전체 사업비 약 2조 원으로 추산
→ LG에너지솔루션 불참으로 삼성SDI·SK온 중심의 경쟁 구도 형성
📌 LG에너지솔루션, 수익성 우려로 입찰 불참
• 앞선 입찰에서 과열된 가격 경쟁으로 수익성 부담 확대
• 신규 물량 확보보다 기존 수주 사업과 차세대 기술 개발에 집중
• 1·2차 입찰에서 확보한 214MW 물량 우선 대응
• 2027년부터 오창 …
✅ '이 땅에 집 지을 수 있나요?'… 복잡한 토지개발 인허가, AI가 사전 진단
https://www.hellot.net/news/article.html?no=116067
비아이매트릭스가 정부의 AI 기반 통합인허가 서비스 개발을 주도하며 공공 AI 시장에서도 레퍼런스를 확대하고 있습니다.
내년부터 지방정부 실증이 본격화되는 만큼, 향후 공공 AX 사업 확대 가능성도 주목할 만 합니다.
📌 정부 AI 민생 프로젝트, 핵심 개발 완료
비아이매트릭스가 주관하고 웨이버스·아이씨티웨이가 참여하는 컨소시엄이 개발 수행
과기정통부 공모에서 유일하게 선정된 국토교통부의 AI 민생 10대 프로젝트
복잡한 토지개발 법령·지방정부 조례를 AI가 분석해 인허가 가능 여부를 사전 진단하는 서비스
📌 AI 에이전트 통합 개발 완료, 실증 단계 진입
여…
💻 YMTC IPO 보류에 부담 던 삼성·SK…낸드 추격 제동
https://daily.hankooki.com/news/articleView.html?idxno=1422648
📌 YMTC, 6.8조 원 규모 IPO 잠정 중단
• 중국 낸드 업체 YMTC의 모회사 창장춘추홀딩스(CCSH), 상하이 증시 상장 절차 잠정 중단
• 중국 증시 침체와 AI·반도체 기업에 대한 IPO 심사 강화 등이 배경으로 지목
📌 당초 자금 조달 계획
총 330억 위안(약 6조 8,000억 원)
① 생산라인 기술 고도화: 208억 위안(약 4조 3,000억 원)
② 연구개발(R&D): 122억 위안(약 2조 5,000억 원)
→ 자금 조달 지연에 따른 생산능력 확대 및 차세대 낸드 개발 차질 가능성
📌 YMTC, 글로벌 낸드 시장 점유율 빠르게 확대
…
✅ 씨이랩, 국민성장펀드 투자 유치 ··· 100억 규모 전환사채 발행
https://www.datanet.co.kr/news/articleView.html?idxno=215682
📌 국민성장펀드 통해 100억 원 자금 조달
• 씨이랩, 100억 원 규모 제1회 사모 전환사채(CB) 발행 결정
• 국민성장펀드 자펀드 80억 원 + 코스닥벤처펀드 등 20억 원 인수
• 한국투자밸류·DB·수성·오라이언자산운용 등이 투자 참여
• 납입 예정일: 2026년 11월 16일
📌 이자율 0%·리픽싱 없는 CB 발행
주요 발행 조건
• 발행 규모: 100억 원
• 전환가액: 8,106원
• 만기: 5년
• 표면이자율·만기보장수익률: 모두 0%
• 리픽싱: 없음
• 콜옵션: 인수금액의 50% 범위
• 풋옵션: 발행 30개월 이후 행사 …
✅ 엘앤에프, 올해 양극재 출하량 '역대 최대' 전망
https://www.hankookilbo.com/news/article/A2026110609010003812?did=NA
📌 NCM 양극재 출하량 역대 최대 전망
• 2026년 NCM 양극재 출하량 전년 대비 약 40% 증가 전망
• 고성능 울트라 하이니켈 양극재 독점 공급이 성장 견인
• 북미 고객사향 차세대 46㎜ 원통형 배터리 소재 판매 확대
→ 전기차 시장 성장 둔화에도 프리미엄 제품 중심의 출하량 증가
📌 3분기 실적 및 수익성 현황
• 매출액: 8,744억 원
• 영업손실: 265억 원
• 1~3분기 누적 영업이익: 약 1,116억 원
• 환율 급락과 원재료 가격 하락 등 외부 요인으로 3분기 일시적 적자 기록
→ 회사는 외부 악재를 제외한 주력 NCM 사업의…
✅ "빅테크 신용 꺾이는데"…네이버, 12조 AI 팩토리 짓고도 'A-' 지켰다
https://www.newsis.com/view/NISX20261106_0003857884
📌 S&P, 네이버 신용등급 'A-' 유지
• 글로벌 신용평가사 S&P, 네이버의 장기 신용등급 'A-' 및 등급 전망 '안정적' 유지
• 대규모 AI 인프라 투자 계획을 반영하고도 기존 신용등급 방어
• 고객 수요에 따라 투자 규모와 시점을 조절할 수 있는 사업 구조를 긍정적으로 평가
📌 글로벌 빅테크와 엇갈린 신용평가
• 메타: 신용등급 'AA-' 유지, 전망 '안정적 → 부정적' 하향
• 오라클: 신용등급 'BBB → BBB-' 하향
• 네이버: 신용등급 'A-' 및 전망 '안정적' 유지
→ AI 투자에 따른 재무 부담이 커지는 가운데 네이버의 자본 효…
✅ 심운섭 그래피 회장 "다음 승부수는 ‘출력하는 치아’…브라질 직영랩 추진"
https://www.edaily.co.kr/News/Read?newsId=03155366645643096&mediaCodeNo=257
📌 투명교정 넘어 '출력하는 치아'로 확장
형상기억 투명교정장치(SMA)에 이어 3D프린팅 보철 소재 '테라하츠 에나멜'을 신성장동력으로 육성
크라운·브릿지 등을 직접 출력하는 기술로, 기존 방식 대비 제작 공정과 소재 손실 절감 가능
회사 측은 보철 소재사업이 기존 SMA보다 큰 매출을 창출할 가능성 제시
📌 브라질 직영랩으로 미주 시장 공략
브라질에서 유통사를 거치지 않는 직영 생산랩 구축 추진
투명교정장치 및 영구치관용 3D프린팅 레진 5종의 브라질 ANVISA 등록 완료
현재 인력 채용과 부지 계약 준비 중이며,…
✅ 크래프톤은 자사주 소각, 엔씨는 인력 감축… 게임업계 엇갈린 셈법
https://www.joseilbo.com/news/htmls/2026/11/20261106579083.html
📌 기존 인기 IP 활용 및 신작 확대
• 넥슨은 블리자드와 '스타크래프트' IP 기반 신작 개발·서비스 협의 진행 중
• CD프로젝트레드(CDPR)는 '위쳐' 시리즈를 중심으로 기존 IP 확장 추진
• 신작 개발과 글로벌 시장 진출, 기존 인기작의 수익성 강화가 주요 성장 전략
📌 게임업계 비용 효율화 및 구조 개편
• 신작 개발비와 인건비 부담이 높아지면서 주요 게임사들의 조직 재편 확대
• 기존 IP의 매출 기반을 유지하는 동시에 신규 프로젝트의 수익성과 인력 운영 효율화 추진
📌 주요 게임사 사업 전략 및 현황
🎮 크래프톤 — 자사주 소각·A…
✅ 플래티어, AI 테스트 관리 솔루션 'XGEN TMS' 공개
https://www.cstimes.com/news/articleView.html?idxno=726898
📌 AI 기반 테스트 관리 솔루션 공개
11월 5일 '베스트콘 2026'에서 AI 기반 테스트 관리 시스템 'XGEN TMS' 공개
자체 AI 모델로 테스트 설계부터 실행 결과까지 통합 관리하며, 기업 내부 폐쇄망에서도 활용 가능
📌 글로벌 테스트 자동화 기업과 협력
글로벌 기업 트라이센티스의 '토스카(Tosca)'와 XGEN TMS 연계 체계 소개
AI 기반 테스트 설계와 자동화 실행 결과를 연결해 소프트웨어 검증 효율성 향상 추진
📌 AI 확산으로 품질관리 수요 확대
생성형 AI와 AI 에이전트 확산으로 AI 시스템의 보안·신뢰성 검증 중요성 증가
기존 디지털…
👍2❤1🔥1
Showing the 12 most recent of 1,602 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 26 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 · 24,952 Telegram ranks this channel #5 of 91 here — alongside 90 others — read 14 September 2026
[메리츠 Tech 김선우, 양승수, 김동관] @merITz_tech · 24,696 Telegram ranks this channel #7 of 92 here — alongside 91 others — read 17 September 2026
이지스스트레티지 리서치 @jeilstock · 26,265 Telegram ranks this channel #11 of 93 here — alongside 92 others — read 12 September 2026
⚡️번개맞은뉴스 - 상위2% 주식텔레그램 채널 @stock_messenger · 25,253 Telegram ranks this channel #13 of 90 here — alongside 89 others — read 14 September 2026
엄브렐라리서치 Jay의 주식투자교실 @Jstockclass · 26,522 Telegram ranks this channel #17 of 90 here — alongside 89 others — read 13 September 2026
시황맨의 주식이야기 @shmstory · 39,558 Telegram ranks this channel #20 of 89 here — alongside 88 others — read 2 September 2026
허혜민의 제약/바이오 소식통 @huhpharm · 24,266 Telegram ranks this channel #21 of 93 here — alongside 92 others — read 16 September 2026
키움증권 미국주식 톡톡 @kwusa · 36,253 Telegram ranks this channel #21 of 92 here — alongside 91 others — read 2 September 2026
타점 읽어주는 여자(타자) @tazastock · 40,946 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 · 58,017 Telegram ranks this channel #22 of 92 here — alongside 91 others — read 2 September 2026
[하나 Global ETF] 박승진 @globaletfi · 20,562 Telegram ranks this channel #23 of 86 here — alongside 85 others — read 28 September 2026
습관이 부자를 만든다. 🧘 @habit4117 · 28,281 Telegram ranks this channel #23 of 87 here — alongside 86 others — read 10 September 2026
급등일보 미국주식🇺🇸 속보·매크로·리서치 @FastStockNewsUSA · 40,990 Telegram ranks this channel #24 of 89 here — alongside 88 others — read 2 September 2026
실시간 주식 뉴스 @realtime_stock_news · 36,989 Telegram ranks this channel #25 of 93 here — alongside 92 others — read 2 September 2026
도PB의 생존투자 @survival_DoPB · 22,092 Telegram ranks this channel #27 of 90 here — alongside 89 others — read 21 September 2026
💯똥밭에 굴러도 주식판 @daegurr · 23,733 Telegram ranks this channel #27 of 83 here — alongside 82 others — read 18 September 2026
오를주식 - 뉴스/경제/주식 @GoUpstock · 21,090 Telegram ranks this channel #28 of 83 here — alongside 82 others — read 25 September 2026
주식 급등일보🚀급등테마·대장주 탐색기 | Korean Stocks @FastStockNews · 128,885 Telegram ranks this channel #31 of 92 here — alongside 91 others — read 2 September 2026
Yeouido Lab_여의도 톺아보기 @Yeouido_Lab · 43,469 Telegram ranks this channel #33 of 90 here — alongside 89 others — read 2 September 2026
선수촌 @athletes_village · 22,154 Telegram ranks this channel #34 of 88 here — alongside 87 others — read 23 September 2026
TNBfolio @TNBfolio · 25,129 Telegram ranks this channel #34 of 93 here — alongside 92 others — read 15 September 2026
회색인간의 매크로 + 투자 @mistergray_11 · 19,767 Telegram ranks this channel #37 of 78 here — alongside 77 others — read 1 October 2026
Buff @bufkr · 21,623 Telegram ranks this channel #38 of 89 here — alongside 88 others — read 21 September 2026
서화백의 그림놀이 🚀 @easobi · 23,370 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 6 November 2026 — this
entry's latest reading, not the date you are reading this.
“그로쓰리서치(Growth Research) [독립리서치]” (@growthresearch), 40,111 subscribers as measured 6 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.