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Channel

HS아카데미 대표 이효석

@HS_academy

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

35,726subscribers

-6 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 live12 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/HS_academy

Growth

35,72535,73435,729.56 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 subscribers35,7266 August 202612 August 2026
9 measurements spanning 7 days, net -6. 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 35,724–35,735 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 19:2535,726-8
11 Aug 2026, 22:0235,734+9
10 Aug 2026, 21:3735,725-5
9 Aug 2026, 19:5835,730+3
8 Aug 2026, 17:3635,727-3
7 Aug 2026, 15:2535,730-3
6 Aug 2026, 14:0135,733+1
6 Aug 2026, 02:4535,732no change
6 Aug 2026, 02:3835,732first reading

Engagement

36 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 17 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
26.6%
avg views ÷ 35,726 subscribers
Avg views / post
9,510
36 posts measured
Reaction rate
0.936%
reactions ÷ views · ER floor
Posts in window
36
of 36 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 12 August 2026
Posts held36 (31 July 202612 August 2026)
Views total342,280
Reactions total3,205
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 20:56 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
5,010
Videos
186
Links
5,730

Lifetime counters from Telegram’s own channel header, read 12 August 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
29s
Average length
29s

Measured directly from 1 video 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

3,072 reactions across 35 posts, in 16 distinct kinds. The most used accounts for 41.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍1,27941.6%
1,12336.6%
😱2287.42%
🙏762.47%
😢732.38%
🤣732.38%
🤔451.46%
🤯451.46%
😁421.37%
👏381.24%
🎉210.684%
🤩160.521%
🔥70.228%
30.098%
🕊20.065%
😍10.033%

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 36 of the 36 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 3,205reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 36 most recent posts we hold, published 31 July 2026 to 12 August 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

12 Aug 2026, 13:28 UTC≈2,360 views19 reactionsread 12 August 2026

오픈웨이트 투자아이디어 다시보기는 여기에서 가능합니다 https://naver.me/5qLlKQ6y

13👍6

12 Aug 2026, 13:27 UTC≈2,530 views32 reactionsread 12 August 2026
Photo

이틀 동안 한투에서 주최해주신 초등학생 대상으로는 처음으로 경제 강의를 했습니다 역시나 핵심 주제는 #인테그리티 #Integrity 다행히 아이들이 좋아해줘서 행복했습니다!!

👍302

12 Aug 2026, 06:48 UTC≈4,430 views18 reactionsread 12 August 2026

4시부터 여기로~!!! https://www.youtube.com/live/SIGsLh6WXSU?si=05iyHk6m5LZKwCcn

16👍2

12 Aug 2026, 05:53 UTC≈6,080 views43 reactionsread 12 August 2026

전자/닉스 회복 여부에 대한 답은 여기에서! https://naver.me/xZKdELPm (★ 오늘만 무료 ★) 국내에서는 언급이 많이 안되고 있지만, 미국에서 가장 크게 이슈가 되고 있는 너무너무 중요하지만, 어떤 영향을 미칠 지 불확실한 주제! 네~ 오픈웨이트 이슈에 대해서 모구가 정리를 했습니다. 개인적으로 이 주제는 향후 AI 투자를 하실 때 매우매우X10 중요하다고 생각하는데요. 오늘 4시부터 유튜브에서 라이브를 통해서(다시보기x) 관련 내용을 정리해드리고, 투자 아이디어도 고민해보려고 합니다. (댓글을 참고해주세요) 그럼 핵심적인 내용들만 몇가지 정리해볼까요? ## 1. AI의 다음 전쟁은 ‘누가 가장 좋은 모델을 만드느냐’가 아닐지도 모릅니다 최근 미국 AI 업계에서 아주 재미있는 논쟁이 시작됐습니다. 오픈웨이트(

39👍2😁2

11 Aug 2026, 22:25 UTC≈5,710 views51 reactionsread 12 August 2026

올해 했던 모든 '그냥효'중에서 가~장 중요한 영상입니다! AI 투자를 하시는 모든 분들이 보셨으면, 좋겠습니다. 1) AI 전쟁의 핵심물자는 "Computing"입니다. 2) 그동안의 모든 주도주는 Computing과 관련이 있었죠 3) 지금부터는 "Money War" 돈전쟁이 시작됩니다. 4) 중국은 디플레이션 환경이기 때문에 돈 풀기가 쉬운데, 보조금을 얼마나 주는 지 알 수도 없습니다. 5) 그런데, 중국은 보조금을 주는 정도를 넘어서 인민들의 돈까지 끌어들입니다. 6) CXMT는 시작일 뿐이죠. 블룸버그는 "중국이 $28조 시장에서 돈을 끌어 모으기 시작했다" 라고 표현했습니다. 7) 덕분에 중국 기업은 2%로 돈을 빌릴 수 있습니다. 그런데, 미국 기업은 5%로 빌릴 수 있다? 곤란합니다. 8) 연준이나, 정부가 어떻게 해주면 좋

👍3415🤩2

11 Aug 2026, 10:19 UTC≈6,460 views49 reactionsread 12 August 2026

오늘 길게 쓴 글이 넘 어렵다~! 생각하신 분은 이 영상을 보세요 ^^ GPU가 ‘투자자산’이 되는 시대가 왔다, 월가가 AI 데이터센터 돈줄까지 잡기 시작한 이유 [Z1뉴스 - 1부] https://youtu.be/g4TcRlCrA-w

34👍14🙏1

11 Aug 2026, 06:56 UTC≈6,070 views40 reactionsread 12 August 2026

Computing의 가치! 라는 키워드가 계속 제 머리를 때리고 있습니다. 그만 때려~! ㅎㅎ

🎉1711🤣7👍4😱1

11 Aug 2026, 06:51 UTC≈7,450 views78 reactionsread 12 August 2026

도대체 Computing이란 무엇일까...? Computing. 요즘 정말 많이 듣는 단어입니다. 그런데 Computing을 제대로 정의할 수 있는 사람은 몇 명이나 될까요? 도대체 Computing은 무엇일까요? 계산하는 것? 문제를 푸는 것? GPU를 돌리는 것? 저는 그동안 Computing을 이렇게 생각해왔습니다. “지능(Intelligence)을 만드는 원료(Resource)” 석유를 넣으면 에너지가 나오듯, Computing을 집어넣으면 Intelligence가 나옵니다. 그런데 여기서 한 가지 재미있는 질문을 해볼 수 있습니다. 만약 Computing에도 ‘시간가치’가 있다면 어떨까요? 오늘 사용할 수 있는 Computing과 1년 뒤 사용할 수 있는 Computing의 가치가 똑같다면 별일이 일어나지 않습니다. 기다렸

58👍14👏6

11 Aug 2026, 05:34 UTC≈7,160 views84 reactionsread 12 August 2026

# AI가 전쟁이라면, 전쟁의 성패는 보급에서 결정됩니다 지난 주 미국 정부가 엔화에 개입했고, 베센트 장관은 FIMA 이야기까지 꺼냈습니다. FIMA는 원래 있던 장치입니다. 외국 중앙은행이 급하게 달러가 필요할 때, 보유하고 있는 미국 국채를 시장에 던지는 대신 연준에 맡기고 달러를 빌릴 수 있도록 만든 제도입니다. 쉽게 말하면 전당포 같은 겁니다. 전당포에 맡기는 게 "미국 국채"라는 게 어색하긴 하지만 말입니다. 처음에는 저도 그냥 넘겼습니다. “에이, 그냥 하는 말이겠지.” 그런데 다시 생각해보니 조금 이상했습니다. 전당포는 원래 조용히 있는 곳입니다. 필요한 사람이 찾아가는 곳이죠. 그런데 전당포 주인이 먼저 나서서 “우리 전당포 문 열려 있습니다.” 라고 광고를 한다면 어떨까요? 미국 재무장관이 굳이 이 카드를 입

64👍162🕊2

11 Aug 2026, 04:01 UTC≈8,100 views193 reactionsread 12 August 2026
Photo

초등학생 대상으로 강의한 건 처음인데, 이렇게 반응이 좋을 줄은 생각도 못했네요! 자리를 만들어주신 #한국투자증권 에 감사드립니다 p.s 내일도 합니다~ ^^

👍14926🙏9👏8😁1

10 Aug 2026, 14:51 UTC≈9,570 views77 reactionsread 12 August 2026
Photo

오늘자 블룸버그 기사의 주제는 "중국"이네요! 이 그림이 상당히 인상적입니다. AI 가 전쟁이라면, 역시나 "조달"을 얼마나 싸게 하느냐가 핵심일텐데... 미국 테크기업들이 중국 테크기업에 비해 조달비용이 너무 높네요;; 이걸 아는 미국정부가 어떤 행동을 선택말지가 하반기~내년의 핵심인 것 같습니다. 개인적인 생각으론 FIMA는 시작이었을 뿐 마지막 카드는 YCC라고 생각하고 있습니다! 물론 YCC로 바로 가기보다 "YCC처럼 보이지 않으면서 장기금리를 낮추는 방법”을 최대한 사용하겠지만 말이죠 연준의 준비과정은 아래의 순서를 따르게 될 겁니다. ① 장기채 term premium에 대한 정부 발언... 허허~ 이거 금리가 넘 높은 거 아닌가? ② Treasury의 장기물 발행 억제 ... 짧게 짧게 빌려서 급한 불부터 끕시다 ③

👍5223🤩2

10 Aug 2026, 14:39 UTC≈8,480 views210 reactionsread 12 August 2026

## 4. 치킨을 사 먹는 사람들 — 그리고 5층 케이크 데이터센터라는 치킨집에서 파는 치킨은 '컴퓨팅'입니다. "계산하게 해주세요, 돈 낼게요." 이게 컴퓨팅이고, 이걸 사 가는 회사가 앤트로픽과 오픈AI 같은 모델 회사들입니다. 그런데 이 친구들이 어떻게 주문을 해놨냐면, 치킨집이 아직 리모델링 중인데 3년 치 치킨을 미리 다 계약해놨습니다. "올해도 먹을 거고 내년에도 먹을 거니까, 미리 다 준비해 두세요." 이러니 빅테크 입장에서는 미친 듯이 지을 수밖에요. 숫자로 보면, 일런 머스크가 지금 갖고 있는 치킨집이 1~1.5기가와트 정도인데, 올해 말까지 2기가와트, 내년에는 10기가와트를 말하고 있습니다. 치킨집 하나 조금 넘게 운영하면서 내년에 열 개를 짓겠다는 겁니다. 장사가 그만큼 잘될 것 같으니까요. 여기서 젠슨

130👍69👏5🤣4🤔2

Showing the 12 most recent of 36 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.

Citation-graph rank

Citation-graph rank — 202,917 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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.

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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“HS아카데미 대표 이효석” (@HS_academy), 35,726 subscribers as measured 12 August 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.