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Channel

HS아카데미 대표 이효석

@HS_academy

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry

36,204subscribers

+472 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-1001221021505
TypeChannel
Username@HS_academy
Description📢 이효석 아카데미 공식 채널 안내 🎉 📺 유튜브 채널 👉 https://youtube.com/@hs_academy?si=vKWQH8Xv9ql-pzoH 📚 네이버 프리미엄 콘텐츠 👉 https://contents.premium.naver.com/hsacademy/hsacademy1
Created30 January 2020measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live6 September 2026
Measurements held29
Confirmed unchanged1 time, most recently 6 September 2026
On Telegramt.me/HS_academy

Growth

35,72536,21135,9686 August 2026 — 35,732 subscribers6 August 2026 — 35,732 subscribers6 August 2026 — 35,733 subscribers7 August 2026 — 35,730 subscribers8 August 2026 — 35,727 subscribers9 August 2026 — 35,730 subscribers10 August 2026 — 35,725 subscribers11 August 2026 — 35,734 subscribers12 August 2026 — 35,726 subscribers14 August 2026 — 35,823 subscribers15 August 2026 — 35,840 subscribers16 August 2026 — 35,848 subscribers18 August 2026 — 35,852 subscribers19 August 2026 — 35,855 subscribers20 August 2026 — 35,894 subscribers21 August 2026 — 35,976 subscribers22 August 2026 — 35,989 subscribers24 August 2026 — 36,033 subscribers25 August 2026 — 36,086 subscribers26 August 2026 — 36,121 subscribers27 August 2026 — 36,138 subscribers28 August 2026 — 36,152 subscribers29 August 2026 — 36,176 subscribers30 August 2026 — 36,187 subscribers31 August 2026 — 36,201 subscribers1 September 2026 — 36,206 subscribers2 September 2026 — 36,211 subscribers3 September 2026 — 36,206 subscribers6 September 2026 — 36,204 subscribers36,2046 August 20266 September 2026
29 measurements spanning 31 days, net +472. 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 35,652–36,284 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 29
Measured (UTC)SubscribersChange
6 Sept 2026, 01:4036,204-2
3 Sept 2026, 19:3936,206-5
2 Sept 2026, 12:0836,211+5
1 Sept 2026, 10:5736,206+5
31 Aug 2026, 14:0536,201+14
30 Aug 2026, 12:4236,187+11
29 Aug 2026, 12:3536,176+24
28 Aug 2026, 14:0636,152+14
27 Aug 2026, 13:4236,138+17
26 Aug 2026, 13:4336,121+35
25 Aug 2026, 12:2836,086+53
24 Aug 2026, 11:0836,033+44
22 Aug 2026, 17:4735,989+13
21 Aug 2026, 05:2435,976+82
20 Aug 2026, 02:0235,894+39
19 Aug 2026, 01:5235,855+3
18 Aug 2026, 00:0735,852+4
16 Aug 2026, 22:2435,848+8
15 Aug 2026, 16:2535,840+17
14 Aug 2026, 01:1735,823first reading

Engagement

131 posts held, back to 31 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 70 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
26.6%
avg views ÷ 36,204 subscribers
Avg views / post
9,630
109 posts measured
Reaction rate
0.63%
reactions ÷ views · ER floor
Posts in window
109
of 131 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 8 September 2026
Posts held131 (31 July 20268 September 2026)
Views total1,049,490
Reactions total6,610
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Sept 2026, 01:51 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
5,050
Videos
188
Links
5,800

Lifetime counters from Telegram’s own channel header, read 9 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
2m 19s
Average length
46s

Measured directly from 3 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

8,585 reactions across 130 posts, in 18 distinct kinds. The most used accounts for 44.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3,82944.6%
👍3,12836.4%
😱3504.08%
🤩1551.81%
👏1511.76%
🎉1481.72%
🤯1481.72%
🙏1471.71%
🤔1441.68%
🤣1271.48%
😢1161.35%
😁971.13%
🔥270.315%
🥰70.082%
40.047%
🕊30.035%
👌20.023%
😍20.023%

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 131 of the 131 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 8,718 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 131 most recent posts we hold, published 31 July 2026 to 8 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

8 Sept 2026, 08:20 UTC≈5,240 views14 reactionsread 9 September 2026

긴급 시황 점검입니다 (w. 제이) https://www.youtube.com/live/YW9m0YtooQg?si=6uGbqDonV73Fe_-K

🤣6🎉4👍31

8 Sept 2026, 03:59 UTC≈6,240 views62 reactionsread 9 September 2026
Photo

금리, 횐율, 유가 등등 수없이 많은 불확실성을 잠재울 수 있는 건 엔비디아 자신이 아닐까? 하는 생각이! 어쩌면 오늘 밤, 신고가를 쓸지도 모르겠다는 생각이 드네요 에후 10%만 더 오르면 시총 $6조 이야기가 나오겠죠 [참고] 국가별 시가총액 영국 $4.7조 캐나다 $4.3조 대만 $4.2조 대한민국 $3.8조 프랑스 $3.1조 독일 $3.1조

👍4022

7 Sept 2026, 22:39 UTC≈9,080 views55 reactionsread 9 September 2026

오늘의 주인공은 #Astra입니다. (2026.09.08) 지난 주말부터 투자자들에게 가장 중요한 질문은 이것인 것 같습니다. “Astra는 얼마나 큰 게임체인저가 될까?” 솔직히 이 질문에 정확히 대답하기는 쉽지 않습니다. 하지만 지금까지 확인된 변화를 바탕으로 추론은 해볼 수 있습니다. 주변 투자자들의 반응은 대체로 비슷합니다. “뭔가 완전히 새로운 게 나온 것 같고, 주가도 반응했으니 긍정적인 것 같기는 하다. 그런데 도대체 무엇이 얼마나 크게 바뀐 건지는 모르겠다. OpenAI 내부에서도 AI 개발 속도를 늦춰야 한다는 이야기가 나오는 걸 보면, 내가 모르는 무슨 일이 벌어지고 있는 것 같은데… 그게 뭔지 모르겠다.” 아마 이 글을 읽는 여러분의 생각도 크게 다르지 않을 겁니다. 그렇다면 질문을 바꿔보겠습니다. “Astra의

47👍8

7 Sept 2026, 21:45 UTC≈6,410 views40 reactionsread 9 September 2026

🚨 개발자가 잠을 자는 동안 GPT-6 Astra에게 마인크래프트를 하게 두었음 우양 저우(Wuyang Zhou)라는 개발자가 상당히 간단한 실험을 했습니다: 그는 GPT-6 Astra에게 컴퓨터 사용(Computer Use)을 통해 마인크래프트에서 다이아몬드를 얻으라고 요청했습니다. 그리고 잠자리에 들었어요. 깨어났을 때… 인벤토리에 다이아몬드가 있었어요. Astra는 게임과 스스로 상호작용해야 했고, 자원을 모으고, 도구를 제작하고, 탐험하며 목표를 달성할 때까지 진행해야 했습니다. 그리고 그게 진짜 미친 부분이에요. 그는 AI에게 다이아몬드를 찾는 방법을 설명해 달라고 요청하지 않았어요. 목표를 주고 잠자리에 들었고, 나머지는 AI가 알아서 하게 놔뒀어요. 돌아왔을 때, 임무는 이미 완료되어 있었어요. 우리는 질문에

🤩2111👍8

7 Sept 2026, 07:09 UTC≈6,660 views34 reactionsread 9 September 2026

이 영상은 나중에 쫌 오래 기억해주세요 ㅎㅎ 생각을 좀 더 깔끔하게 정리해서 "설명"했습니다 https://youtu.be/UXtdMbb9RG4

👍25👏4🤩32

7 Sept 2026, 02:29 UTC≈9,890 views38 reactionsread 9 September 2026

하워드막스가 이야기하는 AI투자 영상에 이런 문구가 나오네요!  “My favorite fortune cookie says that the cautious seldom write great poetry.” “제가 가장 좋아하는 포춘쿠키 문구는 ‘신중한 사람은 좀처럼 위대한 시를 쓰지 못한다’는 말입니다.” “Investing in these companies today could be a huge error, but it could also be great poetry.” “오늘날 AI 기업들에 투자하는 것은 엄청난 실수가 될 수도 있지만, 동시에 위대한 한 편의 시가 될 수도 있습니다.” “The people who resist because it could be an error could miss out on the greatest

30👍5👏3

6 Sept 2026, 22:51 UTC≈9,440 views48 reactionsread 9 September 2026

젠슨황이 OpenAI 팀에게 AGI 달성을 축하한다고 했네요; Agent AI 개념이 처음으로 등장했을 때 "Agent의 숫자가 엄청나게 증가하는데, 각 Agent가 쓰는 컴퓨팅의 양도 엄청나게 증가"한다고 했죠. 즉, x축이 Agent 숫자 y축이 Agent 당 컴퓨팅 이었다면, 이번 Astra는 z축에 "Agnet 당 일하는 시간"이라는 축이 하나 더 생긴 걸로 이해할 수 있습니다. Intelligence × Working Time × Number of Agents 지금까지의 Agent가 대리가 일을 잘하는 신입사원에게 몇 분~몇 시간짜리 일을 시키는 개념이었다면, Astra 이후에는 부장님이 팀장에게 “팀원들을 데리고 며칠 동안 이 프로젝트 끝내세요” 라고 하는 것과 같습니다. 더 나아가 Multi-Agent와 결합하면

40👍6🤩2

6 Sept 2026, 13:46 UTC≈9,290 views29 reactionsread 9 September 2026
Video

오늘 주말라이브에서는 OpenAI astra 성능에 대한 설명과 투자관점의 시사점을 설명했습니다! 세상에 크롱 흉내까지 내면서 말이죠 ㅋ https://naver.me/5t7zgGdd

👍1411🤩4

5 Sept 2026, 13:27 UTC≈8,540 views103 reactionsread 9 September 2026
Video

여의도 불꽃축제 엔딩곡 - 오르막길 사랑해 이 길 함께 가는 그대여 굳이 고된 나를 택한 그대여 가끔 바람이 불 때만 저 먼 풍경을 바라봐 올라온 만큼 아름다운 우리 길 기억해 혹시 우리 손 놓쳐도 절대 당황하고 헤매지 마요 더 이상 오를 곳 없는 그 곳은 넓지 않아서 우린 결국엔 만나 크게 소리 쳐 사랑해요 저 끝까지 #PLUS 초대해주셔서 #감사합니다

75🎉25🤩3

5 Sept 2026, 02:31 UTC≈7,180 views24 reactionsread 9 September 2026

이효석아카데미 네프콘 4주년 이벤트 🎉 요즘 정말 많이 받는 질문이 있습니다. “전자, 닉스 어떻게 해야 되나요? 🤔” 저는 계속 같은 대답을 하고 있습니다. 📌 시간이나 자금의 여유가 있는 분이라면 이 가격대에서는 매도를 고민하기보다는 조금 더 기다려보셔도 될 것 같습니다. 다만, 내년까지 놓고 본다면 AI 전체 밸류체인 관점에서 조금 더 밸런스 있는 포트폴리오를 만드는 게 좋다고 생각합니다. 특히 메모리 이외의 AI 밸류체인에서 좋은 기업들은 미국에 많이 있기 때문에 🇺🇸 미국 주식 공부도 열심히 해두셔야 합니다! 그럼… “도대체 뭘 봐야 되는데요? 👀” 마침 지난달에 모구가 AI 밸류체인을 싹 정리해서 세미나까지 해드린 자료가 있습니다. 🎁 오늘 하루만 무료로 열어둘게요! 👉 https://naver.me/5qLlKQ

18👍4🤣1🤩1

4 Sept 2026, 23:30 UTC≈6,600 views17 reactionsread 9 September 2026

오늘은 전체공개로 '모닝효라이브'를 진행해보도록 하겠습니다! https://youtube.com/live/5VIx7lNz6Gg?feature=share

👍98

4 Sept 2026, 09:29 UTC≈7,090 views32 reactionsread 9 September 2026

🔥 그때 그 ‘슈퍼패스’, 2년 만에 다시 시작합니다. 2년 전 많은 분들과 함께했던 슈퍼패스가 2026년 완전히 새로운 버전으로 다시 돌아왔습니다! ✨ 투자를 막 시작한 분이나, 아무리 공부해도 실력이 늘지 않아 고민인 분들을 위해 “무엇을 먼저 봐야 하지?” “이걸 실제 투자에서는 어떻게 연결하지?” 이런 고민까지 함께 해결할 수 있도록 슈퍼패스가 2026버전으로 새롭게 돌아왔습니다!📚 주식의 기본부터 재무제표, PER, 차트까지!! 꼭 필요한 내용을 딱! 배우기 좋은 순서로 준비했습니다. ✅ 슈퍼패스의 특별한 점! 단 한번의 신청으로 슈퍼패스 4주 코스에 무료로 참여하실 수 있어요! 거기다 매주 온라인 라이브 코칭까지! ✅ 참여 조건은 딱 하나! 이효석아카데미 네이버프리미엄 연간구독자라면 모두 무료! 마침 9월 30일까지 연

26👍4🎉2

Showing the 12 most recent of 131 posts we hold for @HS_academy. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Posts edited after publishing

@HS_academy edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
20 August 2026
Most recent edit
20 August 2026

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

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 1 registered channel — 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.

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.

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Buff
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시장 이야기 by 제이슨
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돈타쿠
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YM리서치
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Stock Trip
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미국 제약-바이오 주식/약장수
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@murphybus · 20,178
#16
해달의 투자 정보 공유
@seaotterbtc · 30,113
#17
텔레그램 코인 방,채널 - CEN
@emperorcoin · 38,102
#18
박주혁
@juhyukb · 6,584
#19
엄브렐라리서치 Jay의 주식투자교실
@Jstockclass · 25,935
#20
졸업준비위원회🎓
@officialunivercityofcrypto · 23,125
#21
Rafiki research
@rafikiresearch · 20,591
#22
잠실개미&10X’s N.E.R.D.S
@jake8lee · 17,300
#23
돌비콩의 투자정복
@dolbikong · 9,608
#24
[DAOL퀀트 김경훈] 탑다운 전략
@toptownquant · 15,852
#25
유튜브 채부심 Official 채널
@aptvalueprice · 10,776
#26
에테르의 일본&미국 리서치
@aetherjapanresearch · 34,361
#27
Yeouido Lab_여의도 톺아보기
@Yeouido_Lab · 43,265
#28
한투증권 미국/중국전략 정정영
@G2strategy · 15,905
#29
김찰저의 관심과 생각 저장소
@kimcharger · 24,836
#30
YIELD & SPREAD
@yieldnspread · 22,000
#31
돼지바
@bbong_tta · 12,758
#32
가치투자클럽
@corevalue · 67,711
#33
재야의 고수들
@gaoshoukorea · 41,201
#34
제약/바이오/미용 원리버 Oneriver
@pharmbiohana · 29,940
#35
변창호 코인사관학교 BCH
@BChoSN · 24,919
#36
선진짱 주식공부방
@sunstudy1234 · 54,339
#37
㈜ 청년열정마라두바이쫀득민트초코손맛푸드
@minchoisfuture · 14,977
#38
한양증권 제약/바이오 오병용
@bdragon0808 · 13,379
#39
선수촌
@athletes_village · 21,631
#40
텐렙
@Ten_level · 17,118
#41
코인같이투자 정보 에어드랍🦅
@WeCryptoTogether · 49,305
#42
루팡
@bornlupin · 47,720
#43
AWAKE - 실시간 주식 공시 정리채널
@darthacking · 65,062
#44
뺀지뤼의 SKLab.(스크랩)
@bbanjil · 10,755
#45
야자반 - Y.Z. stock
@yaza_stock · 13,128
#46
AWAKE - 52주 신고가 모니터링
@awake_realtimeCheck · 22,528
#47
投資, 아레테
@mstaryun · 18,596
#48
그로쓰리서치(Growth Research) [독립리서치]
@growthresearch · 40,119
#49
주식 급등일보🚀급등테마·대장주 탐색기 | Korean Stocks
@FastStockNews · 128,687
#50
범송공자 X 29PER
@bumsong2 · 13,128
#51
TRENDSETTER GLOBAL
@TRENDSETTERVERSION2 · 3,958
#52
신영증권 박소연
@sypark_strategy · 29,573
#53
여의도 감성투자
@ygamsung · 6,745
#54
마샬 공유방 2.0
@marshallog · 21,873
#55
여의도스토리 Ver2.0-习近平是个狗东西
@YeouidoStory2 · 58,354
#56
하나 중국/신흥국 전략 김경환
@HANAchina · 35,040
#57
BUYagra
@psychotherapy101 · 5,956
#58
갱생코인
@gensencoin · 13,917
#59
TNBfolio
@TNBfolio · 24,668
#60
레드버드 기업분석
@redbirdstock · 9,942
#61
크립토마카세
@cryptomacase · 11,071
#62
COINNESS News Feed (코인니스)
@coinnesskr · 31,034
#63
Risk & Return
@Risk_and_Return · 8,946
#64
인상주의 투자 인생 업그레이드노트
@insangnism · 11,312
#65
반붐온? 방붐온?
@cpshelter · 5,384
#66
쩜상리서치
@upper_limit_price · 8,003
#67
도PB의 생존투자
@survival_DoPB · 22,290
#68
지휘통제실
@Fire_Direction_Center · 5,523
#69
트리플 아이 - Insight Information Indepth
@triple_stock · 12,851
#70
Financial Magazine
@hanagae · 4,653
#71
습관이 부자를 만든다. 🧘
@habit4117 · 27,774
#72
타점 읽어주는 여자(타자)
@tazastock · 40,116
#73
실전매매전략 : 마켓타이밍
@stockgrandmaster · 10,949
#74
CTT Research
@CTTResearch · 6,926
#75
[신한 리서치본부] 인터넷/게임
@seokokang · 6,339
#76
피카츄 아저씨⚡️
@pikachu_aje · 25,278
#77
[하나 Global ETF] 박승진
@globaletfi · 19,919
#78
캬오의 공부방
@Kyaooo · 17,377
#79
IH Research
@ihresearch · 8,366
#80
영리한 동물원
@stockinvcowcow · 14,202
#81
Polaristimes
@The_MariTimes · 7,367
#82
[메리츠 Tech 김선우, 양승수, 김동관]
@merITz_tech · 23,926
#83
불개미 CRYPTO
@fireant_crypto · 33,129
#84
Macro Trader
@MacroAllocation · 7,436
#85
간절한 투자스터디카페
@desperatestudycafe · 18,849
#86
주식독학
@selfstudystock · 3,746
#87
🗽엄브렐라(Umbrella Research) 리서치+ 네프콘 옆집부자형 since 2020
@umbrellaresearch · 12,856
#88
상장기업 수사대 ☎️
@cyber_rangers · 16,998
#89
디일렉(THEELEC)
@theelec · 10,825
#90

Read from Telegram’s recommendation API, most recently 8 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.

신영증권 박소연
@sypark_strategy · 29,573
Telegram ranks this channel #65 of 91 here — alongside 90 others — read 8 September 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list in total. 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 September 2026 — this entry's latest reading, not the date you are reading this.

“HS아카데미 대표 이효석” (@HS_academy), 36,204 subscribers as measured 6 September 2026. Telegram Register, tgregister.com/channel/HS_academy.

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.