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Channel

그로쓰리서치(Growth Research) [독립리서치]

@growthresearch

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

40,127subscribers

+938 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-1001784919258
TypeChannel
Username@growthresearch
Description🔥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
Created30 August 2022measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live17 September 2026
Measurements held34
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/growthresearch

Topic

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 why it has no browse page of its own yet.

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)
Posted firstThenOverlapGap
@growth_semi/10866 Aug 2026, 00:07 UTC@growthresearch/28550 · this entry6 Aug 2026, 00:07 UTC1.00under a minute
@growth_semi/10886 Aug 2026, 00:25 UTC@growthresearch/28552 · this entry6 Aug 2026, 00:25 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@growth_semi14 (8/8 hand-verifiable sample passed)1.00under a minute@growth_semi (122)
@growthbio9 (8/8 hand-verifiable sample passed)1.00under a minute@growthbio (72)

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.

Growth

39,17040,15339,661.56 August 2026 — 39,189 subscribers6 August 2026 — 39,189 subscribers6 August 2026 — 39,170 subscribers7 August 2026 — 39,407 subscribers8 August 2026 — 39,572 subscribers9 August 2026 — 39,673 subscribers10 August 2026 — 39,736 subscribers11 August 2026 — 39,766 subscribers12 August 2026 — 39,785 subscribers13 August 2026 — 39,801 subscribers14 August 2026 — 39,822 subscribers16 August 2026 — 39,862 subscribers17 August 2026 — 39,892 subscribers18 August 2026 — 39,927 subscribers19 August 2026 — 40,054 subscribers20 August 2026 — 40,070 subscribers21 August 2026 — 40,083 subscribers22 August 2026 — 40,115 subscribers24 August 2026 — 40,153 subscribers26 August 2026 — 40,142 subscribers27 August 2026 — 40,132 subscribers28 August 2026 — 40,127 subscribers29 August 2026 — 40,123 subscribers30 August 2026 — 40,120 subscribers31 August 2026 — 40,112 subscribers1 September 2026 — 40,126 subscribers2 September 2026 — 40,141 subscribers4 September 2026 — 40,120 subscribers6 September 2026 — 40,119 subscribers9 September 2026 — 40,133 subscribers12 September 2026 — 40,108 subscribers14 September 2026 — 40,119 subscribers15 September 2026 — 40,134 subscribers17 September 2026 — 40,127 subscribers40,1276 August 202617 September 2026
34 measurements spanning 42 days, net +938. 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 39,023–40,300 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)SubscribersChange
17 Sept 2026, 15:0140,127-7
15 Sept 2026, 13:5540,134+15
14 Sept 2026, 00:0040,119+11
12 Sept 2026, 05:1840,108-25
9 Sept 2026, 21:2240,133+14
6 Sept 2026, 11:1740,119-1
4 Sept 2026, 05:2040,120-21
2 Sept 2026, 20:2340,141+15
1 Sept 2026, 20:1740,126+14
31 Aug 2026, 19:0740,112-8
30 Aug 2026, 20:4440,120-3
29 Aug 2026, 19:4740,123-4
28 Aug 2026, 17:4440,127-5
27 Aug 2026, 15:0240,132-10
26 Aug 2026, 12:3440,142-11
24 Aug 2026, 11:4640,153+38
22 Aug 2026, 18:3540,115+32
21 Aug 2026, 11:2740,083+13
20 Aug 2026, 08:4240,070+16
19 Aug 2026, 09:1440,054first reading

Engagement

775 posts held, back to 5 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 85 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
7.45%
avg views ÷ 40,127 subscribers
Avg views / post
2,990
452 posts measured
Reaction rate
0.295%
reactions ÷ views · ER floor
Posts in window
452
of 775 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 446 of 452 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 21 September 2026
Posts held775 (5 August 202621 September 2026)
Views total1,351,431
Reactions total3,949
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken21 Sept 2026, 22:46 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
13,500
Videos
722
Links
19,100

Lifetime counters from Telegram’s own channel header, read 21 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.

Video runtime
5m 54s
Average length
1m 11s

Measured directly from 5 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

6,854 reactions across 752 posts, in 5 distinct kinds. The most used accounts for 64.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
4,40564.3%
👍1,53922.5%
🔥76611.2%
👏1131.65%
🥰310.452%

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 764 of the 775 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 6,916 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 775 most recent posts we hold, published 5 August 2026 to 21 September 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

21 Sept 2026, 22:42 UTC358 views2 reactionsread 21 September 2026

✅ [단독] 구형칩 임대료마저 25%↑...AI 연산비용 ‘쓰나미’ 오나 https://m.sedaily.com/article/20093605?ref=naver 📌 H100 이용료 24.7% 인상, 구형 GPU까지 가격 상승 베슬AI, 9월부터 H100 시간당 이용료를 2.39달러 → 2.98달러로 24.7% 인상 글로벌 AI 연산 플랫폼 기준 H100 대여료도 최근 한 달 2.69달러 → 3.28달러, 21.9% 상승 통상 신제품 출시 후 가격이 내려가던 구형 GPU까지 동반 상승하며 공급 부족 장기화 신호 📌 베슬AI 7,000장 → 연말 1만장, GPU 확보가 핵심 경쟁력 베슬AI는 업스테이지·모티프테크놀로지스 등을 고객사로 확보한 국내 네오클라우드 업체 현재 약 7,000장 GPU를 운영 중이며 대부분 직접 구매보다 임대 방

👍2

21 Sept 2026, 14:15 UTC≈2,040 views3 reactionsread 21 September 2026
Forwarded from @growthbioPhoto

🧬 Novo Nordisk, CagriSema 저용량으로 tirzepatide 대비 체중감량 우월성 입증 Novo Nordisk가 Capital Markets Day에서 CagriSema의 REIMAGINE 5 / REDEFINE 9 topline 결과 공개. 💊 REIMAGINE 5 T2D 환자 대상 CagriSema 1.0/1.0mg vs tirzepatide 5mg, 60주 ✔️ 체중감량 • CagriSema: -12.4% • Tirzepatide: -9.1% → CagriSema 우월성 달성 ✔️ HbA1c 감소 • CagriSema: -1.71%p • Tirzepatide: -1.67%p → 비열등성 달성 💊 CagriSema 1.0/1.0mg이 tirzepatide 5mg 대비 체중감량 우월성을 입증했다는 점이 핵심. 단

3

21 Sept 2026, 10:59 UTC≈3,230 views6 reactionsread 21 September 2026

🎬엔비디아, OpenAI, Anthropic, 구글, 테슬라 빅테크 기업들의 AI 속도 조절론, 소름 돋는 뒷통수!? [이창환 영업이사] https://www.youtube.com/watch?v=gKgce-NMNTk 최근 글로벌 AI 기업 수장들이 AI 개발 속도를 조절해야 한다는 목소리를 내면서 반도체주까지 크게 흔들렸습니다. 그렇다면 정말 AI 투자 사이클이 꺾이는 신호일까요? 📌 AI 기업들이 갑자기 속도 조절을 말한 이유 AI 안전성 문제가 커지면서 주요 기업들을 중심으로 외부 검증과 자율규제 필요성이 제기 하지만 실제 AI 개발과 신모델 경쟁은 여전히 계속되고 있는 상황 📌 AI 투자는 정말 줄어들까? 시장에서는 속도 조절론이 AI CAPEX와 반도체 수요까지 둔화시킬 수 있다는 우려가 확대 다만 기업과 국가 모두 경쟁에

5🔥1

21 Sept 2026, 09:41 UTC≈7,730 views15 reactionsread 21 September 2026

✅ [단독] 삼프로TV, 중앙일보 인수 유력 후보군에 올라 https://n.news.naver.com/article/056/0012261290?sid=101 이브로드캐스팅은 지난해말 기준 현금과 예금·채권 등 금융자산 약 800억 원을 보유 ✅ 독립리서치 그로쓰리서치 https://t.me/growthresearch

👍93🔥3

21 Sept 2026, 09:29 UTC≈3,530 views6 reactionsread 21 September 2026

🎬대주전자재료•선진•메가스터디교육, '쏠림'이 끝나는 순간: 중소형주의 시간이 시작된다 [산업 보고서] https://www.youtube.com/watch?v=jPmM5lVuNn0 상반기 국내 증시는 삼성전자와 SK하이닉스에 수급이 강하게 집중됐습니다. 그런데 최근 이 흐름에 변화가 나타나면서 그동안 소외됐던 중소형주를 다시 봐야 할 시점이 오고 있습니다. 📌 삼성전자·SK하이닉스 쏠림, 이제 완화될까? 상반기 시장을 이끌었던 메모리 가격 상승 효과가 점차 둔화되는 모습 주도주에 집중됐던 수급이 다른 업종과 종목으로 확산될 가능성에 주목 📌 과거에도 쏠림 이후 기회는 있었다 과거 국내외 증시에서도 대형주 쏠림이 완화된 이후 소외됐던 종목들이 재평가 지금 시장에서도 비슷한 흐름이 나타날 수 있을지 영상에서 자세히 짚어봤습니다 📌

3👍3

21 Sept 2026, 09:08 UTC≈3,090 views10 reactionsread 21 September 2026

✅ ‘10조원 대미 제련소 짓는다’⋯ 고려아연, 美 환경평가 최종 통과 ‘청신호’ 📌 74억 달러 규모 프로젝트 ‘청신호’ 고려아연의 미국 테네시주 핵심광물 제련소 프로젝트 ‘프로젝트 크루서블’이 미국 최종 환경영향평가(Final EA) 통과 미국 전쟁부는 국가환경정책법(NEPA)에 따라 대기질·온실가스·수자원·폐기물 등을 검토한 뒤 ‘중대한 환경영향 없음(FONSI)’ 판정 📌 후속 인허가·금융지원 절차 기반 확보 환경평가 완료는 대규모 인프라 착공을 위한 핵심 관문 향후 미국 연방정부 금융지원과 테네시강유역개발공사(TVA) 전력 인프라 승인 등 후속 절차의 주요 평가 기준으로 활용 📌 북미 핵심광물 공급망 거점 구축 신규 제련소는 완공 시 안티모니 등 핵심광물 11종과 금을 포함한 비철금속 12종, 반도체 황산을 생산할 예정 지

7🔥2👍1

21 Sept 2026, 08:56 UTC≈2,420 views9 reactionsread 21 September 2026
Forwarded from @growthbio

🧬 濠 텔릭스, 2조3000억원에 獨 ITM 인수…글로벌 방사성의약품 ‘공룡’ 탄생 https://www.thebionews.net/news/articleView.html?idxno=28338 💊 2조3,000억 원 규모 인수 호주 텔릭스파마슈티컬스가 독일 방사성동위원소 전문기업 ITM 지분 100% 인수 계약 체결 선급금은 16억5,000만 달러, ITM-11의 FDA 허가 및 상업화 성과에 따라 최대 7억 달러 추가 지급 가능 거래는 주주총회와 규제당국 승인을 거쳐 올해 말 마무리 예정 💊 루테튬-177 공급망 확보 ITM은 전 세계 65개국 이상에 방사성동위원소를 공급 표적 방사선 치료(TRT)에 사용되는 루테튬-177 상업용 대량 생산 체계를 보유 악티늄-225, 터븀-161 등 차세대 동위원소 생산 역량도 확보 💊 임상

5👍2🔥2

21 Sept 2026, 08:16 UTC≈2,710 views13 reactionsread 21 September 2026

✅ 세계 원유 운반선 공급 부족에 해상운임 사상 최고, "연료가격 상승 압력 요인" https://www.businesspost.co.kr/BP?command=article_view&num=447724 📌 VLCC 용선료 급등 이달 초 페르시아만에서 호르무즈 해협을 통과하는 초대형 원유운반선(VLCC) 용선료가 일일 100만 달러를 넘어 사상 최고치 기록 원유 1배럴당 운송비로 환산하면 약 26달러 수준 클락슨리서치 기준 9월 17일 세계 VLCC 평균 용선료도 일일 65만1,107달러로 일주일 만에 약 2배 상승 📌 운임 상승 배경은 선박 공급 부족 사우디아라비아 동서 송유관 가동 중단 이후 해상 원유 운송 수요 증가 호르무즈 해협 인근 환적 운항과 아프리카 희망봉 우회 장거리 운항이 늘면서 국제 운송에 투입 가능한 VLCC 부족

6👍4🔥2👏1

21 Sept 2026, 07:49 UTC≈2,950 views14 reactionsread 21 September 2026
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✅HSBC: LLM 출시 경쟁 가속…미국 중심으로 신모델 쏟아진다 📌 미국 LLM 출시 속도 빠르게 증가 미국 LLM 출시 모델 수는 2023년 약 12개에서 2025년 약 47개까지 빠르게 증가 2026년 YTD 기준 이미 약 44개가 출시되며 지난해 연간 수준에 근접 현재 속도가 이어질 경우 2026년 연간 약 56개까지 늘어날 것으로 추정 📌 중국도 LLM 개발 경쟁 가속 중국 LLM 출시 모델은 2023년 약 6개에서 2025년 약 22개까지 증가 2026년 YTD 기준으로도 약 22개가 출시되며 지난해 연간 수준에 도달 연간 환산 시 약 28개까지 늘어나며 중국 역시 신모델 출시 속도가 빨라지는 모습 📌 AI 모델 경쟁, 갈수록 치열해지는 모습 미국과 중국을 중심으로 매년 출시되는 LLM 모델 수가 빠르게 증가 특히 미

7👍5🔥2

21 Sept 2026, 05:44 UTC≈3,270 views15 reactionsread 21 September 2026
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🤖 “로봇이 춤만 춘다”…中, 휴머노이드 IPO에 제동 건 이유 [Reuters] https://www.reuters.com/business/finance/china-slows-humanoid-robot-ipo-rush-hype-outruns-reality-2026-09-21/ 📌 유니트리 급등락이 촉발한 ‘로봇 옥석가리기’ 중국 당국, 휴머노이드 로봇 기업 IPO에 비공식적 ‘창구지도’를 통해 심사 속도 조절 유니트리 로보틱스는 상하이 상장 직후 주가가 5배 이상 급등했지만 고점 대비 55% 하락 일부 관계자는 사실상 IPO가 일시 중단된 상태라고 설명했지만, 공식적인 전면 금지 조치는 아님 📌 정부 지원 매출 빼면 기업가치 최대 60~70% 하락 가능성 당국의 핵심 관심사는 지방정부 지원 프로젝트에서 발생한 매출이 실제 상업 수요

13👍1🔥1

21 Sept 2026, 05:35 UTC≈3,040 views5 reactionsread 21 September 2026
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✅ 메가스터디교육 배당수익률 9% 오늘 중소형주 산업보고서에서 말씀드린 메가스터디교육이 견조한 흐름을 보이고 있습니다. 현재 주가 기준으로 배당수익률 9% 수준을 기대할 수 있는 구간이라, 하방 방어 측면에서도 매력도가 있는 종목입니다. 최근 수급 왜곡으로 중소형주 전반이 크게 눌린 만큼, 이럴 때는 💥실적이 좋거나 높은 배당수익률로 하방이 어느 정도 닫혀 있는 종목들을 눈여겨볼 필요가 있습니다. 관련 리포트도 한 번씩 참고해보시면 좋겠습니다. 🔥 미드스몰캡 산업보고서 다시보기 https://contents.premium.naver.com/growthresearch/growth/contents/260920174425262qx ✅ 독립리서치 그로쓰리서치 https://telegram.me/growthresearch

5

21 Sept 2026, 05:04 UTC≈2,740 views6 reactionsread 21 September 2026
Forwarded from @growth_semiPhoto

💻 S&P 500 기업 67%, 2분기 실적콜에서 ‘AI’ 언급 [FaceSet] S&P 500 기업들의 Q2 실적 컨퍼런스콜을 분석한 결과, 493개 실적콜 중 331개(67%)에서 ‘AI’가 언급됨. 📌 과거 AI 언급 비교 • 최근 5년 평균: 178개 • 최근 10년 평균: 114개 를 크게 웃도는 수준. 특히 3개 분기 연속으로 S&P 500 실적콜의 65% 이상에서 AI가 언급됐다는 점이 눈에 띔. 📌 섹터별 AI 언급 비중 • IT: 97% • 금융: 91% • 커뮤니케이션 서비스: 90% 📌 언급 기업 수 기준으로는 • IT 72개 • 금융 67개 가 가장 많았음. 📌 주가 성과에서도 차이 AI 언급 기업 vs 미언급 기업의 평균 주가 수익률: 2025년 말 → 2026년 9월 17일 → +15.7% vs +8

6

Showing the 12 most recent of 775 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

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 22 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.

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.

💯똥밭에 굴러도 주식판
@daegurr · 23,387
#1
돼지바
@bbong_tta · 12,711
#2
호그니엘
@hogniel · 15,327
#3
FOMO 4가투
@fourgachi · 8,375
#4
야자반 - Y.Z. stock
@yaza_stock · 13,107
#5
레드버드 기업분석
@redbirdstock · 9,963
#6
투자의 빅 픽처를 위한 퍼즐 한 조각
@investment_puzzle · 14,377
#7
Stock Trip
@stocktrip · 7,288
#8
양파농장
@Onionfarmer · 15,986
#9
한양증권 제약/바이오 오병용
@bdragon0808 · 13,384
#10
쩜상리서치
@upper_limit_price · 8,003
#11
올바른
@allbareun · 12,193
#12
퀀텀 알고리즘
@quantum_ALGO · 7,552
#13
타점 읽어주는 여자(타자)
@tazastock · 40,320
#14
트리플 아이 - Insight Information Indepth
@triple_stock · 12,879
#15
@아무자료 아무노래(2026년, 계급사회 가속화 3.0)
@anysong_Technon · 4,984
#16
드리머의 잃지 않는 투자
@orangeboard · 4,678
#17
반붐온? 방붐온?
@cpshelter · 5,401
#18
빠르고 정확한 주식정보방
@fastest_info1 · 13,219
#19
인상주의 투자 인생 업그레이드노트
@insangnism · 11,308
#20
범송공자 X 29PER
@bumsong2 · 13,101
#21
지식 책꽂이 (이대호 기자)
@knowledge_to_wealth · 14,145
#22
서화백의 그림놀이 🚀
@easobi · 23,632
#23
Financial Magazine
@hanagae · 4,642
#24
Macrotrader - 금융치료
@slsyphus · 4,405
#25
Pluto Research
@hedgehara · 19,075
#26
습관이 부자를 만든다. 🧘
@habit4117 · 27,854
#27
주식 급등일보🚀급등테마·대장주 탐색기 | Korean Stocks
@FastStockNews · 128,921
#28
인포마켓 infomarket
@infomarketopen · 8,596
#29
선수촌
@athletes_village · 21,627
#30
시장 이야기 by 제이슨
@bumgore · 35,332
#31
BUYagra
@psychotherapy101 · 5,959
#32
도PB의 생존투자
@survival_DoPB · 22,275
#33
Yeouido Lab_여의도 톺아보기
@Yeouido_Lab · 43,309
#34
Buff
@bufkr · 22,258
#35
너쟁이의 성실한 추추생활
@nje2e · 8,459
#36
여의도스토리 Ver2.0-习近平是个狗东西
@YeouidoStory2 · 58,446
#37
돌다리🚦
@stbridgee · 4,679
#38
한국경제
@hankyung_fin · 12,714
#39
투자자문 와이즈리서치 경제공부방
@econostudy · 8,538
#40
오를주식 - 뉴스/경제/주식
@GoUpstock · 20,978
#41
Thesis
@thesis_true · 2,335
#42
한국투자증권/기관영업부/이민근
@mk81_koreainvestment · 16,327
#43
엄브렐라리서치 Jay의 주식투자교실
@Jstockclass · 25,947
#44
돈맥경화 연구소
@Donmaek · 6,373
#45
마산창투
@PRROEresearch · 4,630
#46
제이지의 투자이야기
@JgrowthInv · 3,011
#47
investor1992
@investor1992rok · 1,197
#48
상장기업 수사대 ☎️
@cyber_rangers · 16,973
#49
잠실개미&10X’s N.E.R.D.S
@jake8lee · 17,277
#50
머니터링 - 국내공시요약
@finter_gpt · 4,833
#51
피카츄 아저씨⚡️
@pikachu_aje · 25,242
#52
AWAKE - 마켓 브리핑
@awake_schedule · 17,221
#53
김찰저의 관심과 생각 저장소
@kimcharger · 24,877
#54
뺀지뤼의 SKLab.(스크랩)
@bbanjil · 10,751
#55
석학들의 마켓 (인)사이트
@getfeed · 8,738
#56
한투증권 미국/중국전략 정정영
@G2strategy · 16,153
#57
기술적 분석으로 보는 주식시장 (by 소라게아빠)
@hermitcrab41_1 · 20,334
#58
에테르의 일본&미국 리서치
@aetherjapanresearch · 34,469
#59
投資, 아레테
@mstaryun · 18,661
#60
TRENDSETTER GLOBAL
@TRENDSETTERVERSION2 · 3,934
#61
텐렙
@Ten_level · 17,133
#62
AWAKE - 52주 신고가 모니터링
@awake_realtimeCheck · 22,586
#63
퍼가요~♡
@hwalja · 3,558
#64
주린이 개소리하는 채널
@Dogrini · 4,760
#65
실전매매전략 : 마켓타이밍
@stockgrandmaster · 10,953
#66
CTT Research
@CTTResearch · 6,905
#67
간절한 투자스터디카페
@desperatestudycafe · 18,824
#68
루팡
@bornlupin · 48,016
#69
제약/바이오/미용 원리버 Oneriver
@pharmbiohana · 29,843
#70
AWAKE - 실시간 주식 공시 정리채널
@darthacking · 65,096
#71
YM리서치
@ym_research · 40,010
#72
디일렉(THEELEC)
@theelec · 10,807
#73
선진짱 주식공부방
@sunstudy1234 · 54,428
#74
MZ타뇽 긴축모드 ON
@mztanyong · 5,980
#75
가치투자클럽
@corevalue · 67,564
#76
재야의 고수들
@gaoshoukorea · 41,195
#77
지휘통제실
@Fire_Direction_Center · 5,489
#78
유튜브 채부심 Official 채널
@aptvalueprice · 10,733
#79
2차전지 김희제
@EvAtZchuno · 6,039
#80
서초동 투자머신
@twomachine · 5,303
#81
글로벌바이오아저씨
@choaz1 · 7,098
#82
미국 제약-바이오 주식/약장수
@yakjangsu · 11,443
#83
소투
@small_stock · 9,017
#84
알음다트
@infodart · 6,610
#85
유해섹터 인겜미
@tteoksangMalangCow · 53 (as read 2 September 2026)
#86
캬오의 공부방
@Kyaooo · 17,397
#87
카이에 de market
@cahier_de_market · 22,483
#88
영리한 동물원
@stockinvcowcow · 14,059
#89
키움 반도체,이차전지 PRIME☀️
@kiwoom_semibat · 12,433
#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.

피카츄 아저씨⚡️
@pikachu_aje · 25,242
Telegram ranks this channel #5 of 91 here — alongside 90 others — read 14 September 2026
[메리츠 Tech 김선우, 양승수, 김동관]
@merITz_tech · 24,008
Telegram ranks this channel #7 of 92 here — alongside 91 others — read 17 September 2026
이지스스트레티지 리서치
@jeilstock · 26,472
Telegram ranks this channel #11 of 93 here — alongside 92 others — read 12 September 2026
⚡️번개맞은뉴스 - 상위2% 주식텔레그램 채널
@stock_messenger · 25,581
Telegram ranks this channel #13 of 90 here — alongside 89 others — read 14 September 2026
엄브렐라리서치 Jay의 주식투자교실
@Jstockclass · 25,947
Telegram ranks this channel #17 of 90 here — alongside 89 others — read 13 September 2026
시황맨의 주식이야기
@shmstory · 38,160
Telegram ranks this channel #20 of 89 here — alongside 88 others — read 2 September 2026
허혜민의 제약/바이오 소식통
@huhpharm · 24,282
Telegram ranks this channel #21 of 93 here — alongside 92 others — read 16 September 2026
키움증권 미국주식 톡톡
@kwusa · 36,528
Telegram ranks this channel #21 of 92 here — alongside 91 others — read 2 September 2026
타점 읽어주는 여자(타자)
@tazastock · 40,320
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 · 58,446
Telegram ranks this channel #22 of 92 here — alongside 91 others — read 2 September 2026
습관이 부자를 만든다. 🧘
@habit4117 · 27,854
Telegram ranks this channel #23 of 87 here — alongside 86 others — read 10 September 2026
급등일보 미국주식🇺🇸 속보·매크로·리서치
@FastStockNewsUSA · 40,651
Telegram ranks this channel #24 of 89 here — alongside 88 others — read 2 September 2026
실시간 주식 뉴스
@realtime_stock_news · 37,253
Telegram ranks this channel #25 of 93 here — alongside 92 others — read 2 September 2026
도PB의 생존투자
@survival_DoPB · 22,275
Telegram ranks this channel #27 of 90 here — alongside 89 others — read 21 September 2026
💯똥밭에 굴러도 주식판
@daegurr · 23,387
Telegram ranks this channel #27 of 83 here — alongside 82 others — read 18 September 2026
주식 급등일보🚀급등테마·대장주 탐색기 | Korean Stocks
@FastStockNews · 128,921
Telegram ranks this channel #31 of 92 here — alongside 91 others — read 2 September 2026
Yeouido Lab_여의도 톺아보기
@Yeouido_Lab · 43,309
Telegram ranks this channel #33 of 90 here — alongside 89 others — read 2 September 2026
TNBfolio
@TNBfolio · 24,668
Telegram ranks this channel #34 of 93 here — alongside 92 others — read 15 September 2026
Buff
@bufkr · 22,258
Telegram ranks this channel #38 of 89 here — alongside 88 others — read 21 September 2026
서화백의 그림놀이 🚀
@easobi · 23,632
Telegram ranks this channel #39 of 87 here — alongside 86 others — read 18 September 2026
시장 이야기 by 제이슨
@bumgore · 35,332
Telegram ranks this channel #40 of 89 here — alongside 88 others — read 2 September 2026
조기주식회 공부방
@EarlyStock1 · 24,432
Telegram ranks this channel #43 of 91 here — alongside 90 others — read 16 September 2026
에테르의 일본&미국 리서치
@aetherjapanresearch · 34,469
Telegram ranks this channel #47 of 89 here — alongside 88 others — read 3 September 2026
HS아카데미 대표 이효석
@HS_academy · 36,249
Telegram ranks this channel #49 of 90 here — alongside 89 others — read 8 September 2026

This channel appears in 36 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.

“그로쓰리서치(Growth Research) [독립리서치]” (@growthresearch), 40,127 subscribers as measured 17 September 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.