모교에서 동문들 대상으로 강의를 했습니다~! 주제는 “AI시대 나와 내자산의 생존을 위한 선택” 오랜만에 포항에 오니까 옛날 생각도 나고 좋네요! 개인적으로 내년에는 “과학”에 대한 관심이 커질 거라 생각합니다! 왜냐하면 AI가 인류가 풀지 못했던 수학 난제와 과학 문제들을 풀거니까요! 그래서 내년부터는 #포스텍 옷을 입고 과학 이야기도 많이 해보겠슴니당~!
❤25👍15🤩2😁1

Channel
@HS_academy
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry
36,073subscribers
+341 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001221021505 |
|---|---|
| Type | Channel |
| 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 |
| Created | 30 January 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 23 October 2026 |
| Measurements held | 47 |
| Confirmed unchanged | 1 time, most recently 23 October 2026 |
| On Telegram | t.me/HS_academy |
Crypto & trading — 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 50% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 23 Oct 2026, 23:05 | 36,073 | -6 |
| 22 Oct 2026, 20:45 | 36,079 | -11 |
| 21 Oct 2026, 16:57 | 36,090 | -10 |
| 19 Oct 2026, 08:26 | 36,100 | +23 |
| 18 Oct 2026, 10:28 | 36,077 | +2 |
| 17 Oct 2026, 11:41 | 36,075 | +3 |
| 16 Oct 2026, 11:15 | 36,072 | -16 |
| 15 Oct 2026, 11:41 | 36,088 | -6 |
| 14 Oct 2026, 12:56 | 36,094 | -14 |
| 13 Oct 2026, 03:46 | 36,108 | -24 |
| 9 Oct 2026, 00:19 | 36,132 | -39 |
| 4 Oct 2026, 12:17 | 36,171 | +7 |
| 26 Sept 2026, 03:57 | 36,164 | -85 |
| 17 Sept 2026, 12:57 | 36,249 | -2 |
| 15 Sept 2026, 09:39 | 36,251 | +28 |
| 13 Sept 2026, 17:21 | 36,223 | +11 |
| 11 Sept 2026, 19:56 | 36,212 | +9 |
| 9 Sept 2026, 10:56 | 36,203 | -1 |
| 6 Sept 2026, 01:40 | 36,204 | -2 |
| 3 Sept 2026, 19:39 | 36,206 | first reading |
242 posts held, back to 31 July 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 147 pages of Telegram’s post history, 20 posts per page.
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 66 of 67 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 24 October 2026 |
|---|---|
| Posts held | 242 (31 July 2026 – 24 October 2026) |
| Views total | 670,840 |
| Reactions total | 2,749 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 24 Oct 2026, 12:55 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.
Lifetime counters from Telegram’s own channel header, read 24 October 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.
Measured directly from 6 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.
13,201 reactions across 240 posts, in 18 distinct kinds. The most used accounts for 44.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 5,877 | 44.5% | |
| 👍 | 4,427 | 33.5% | |
| 😱 | 671 | 5.08% | |
| 👏 | 312 | 2.36% | |
| 🤩 | 288 | 2.18% | |
| 🎉 | 241 | 1.83% | |
| 🤣 | 240 | 1.82% | |
| 🙏 | 216 | 1.64% | |
| 😢 | 209 | 1.58% | |
| 😁 | 184 | 1.39% | |
| 🤔 | 175 | 1.33% | |
| 🤯 | 170 | 1.29% | |
| 🔥 | 143 | 1.08% | |
| ⚡ | 20 | 0.152% | |
| 🥰 | 12 | 0.091% | |
| 🕊 | 8 | 0.061% | |
| 👌 | 4 | 0.03% | |
| 😍 | 4 | 0.03% |
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 241 of the 242 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 13,334 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 242 most recent posts we hold, published 31 July 2026 to 24 October 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.
모교에서 동문들 대상으로 강의를 했습니다~! 주제는 “AI시대 나와 내자산의 생존을 위한 선택” 오랜만에 포항에 오니까 옛날 생각도 나고 좋네요! 개인적으로 내년에는 “과학”에 대한 관심이 커질 거라 생각합니다! 왜냐하면 AI가 인류가 풀지 못했던 수학 난제와 과학 문제들을 풀거니까요! 그래서 내년부터는 #포스텍 옷을 입고 과학 이야기도 많이 해보겠슴니당~!
❤25👍15🤩2😁1
All-in 팟캐스트 내용 정리했습니다! 차마스의 날카로운 지적 (AI지출이 소수의 적자 스타트업에 집중되어 있다)과 팔로알토 대표가 이야기하는 AI 시대 보안의 가치 등등 상당히 좋은 내용이 많습니다 https://hs-allin-20261024.haiden18.chatgpt.site
❤13👍5
스페이스X 실적 완벽 해부! https://www.youtube.com/live/KihHmk7kFiQ?si=zXtEfpD4okPDWFBb
❤14
🎤 강연장에서 만나요~!!! 효친님들, 안녕하세요. 이효석입니다. 요즘처럼 시장이 어려울 때는 혼자 고민하기보다 함께 이야기 나누는 시간이 조금이나마 힘이 될 수 있겠다는 생각이 듭니다. 그래서 10월과 11월, 여러분과 직접 만날 수 있는 외부 강연 일정을 모아봤습니다. 이렇게 정리하니 만나 뵐 기회가 꽤 있네요 ^^ 무료 강연도 있으니 편하신 일정에 오셔서 얼굴 뵙고 이야기 나누면 좋겠습니다. 함께 공부하고 고민도 나누면서, 어려운 시장을 잘 이겨내봐요! 😊 📅 강연 일정 한눈에 보기 🔹 10/22(목) 11:10~11:40 삼성동 · 더밀크 트렌드쇼 https://event-us.kr/itwkuic3lsfi/event/134138 🔹 10/28(수) 14:10~15:30 여의도 · 서울 핀테크 위크 🆓 무료 https:/…
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Photo, posted without a caption
❤18
이번 주 그냥효의 주제는 "Nvidia vs. Elon" 이었습니다. 질문은 이거였죠. 젠슨황은 5층짜리 케이크를 각 플레이어들에게 투자도 하고 돈도 줘가면서 밀어주고 끌어주면서 억지로 가고 있는데, 일런머스크는 혼자 다 먹으려고 하고 있다. 에너지 - 테슬라의 ESS, 태양광 칩 - 테라팹 인프라 - 세계최고 수준의 Infra 회사, 우주선도 만드는데, DC 정도는 껌 모델 - 그록은 언제 올라올까? 어플리케이션 - 로보택시, 옵티머스 등등 그렇게 생각해보면, 직관적으로 엔비디아 진영의 가치가 $30조 정도 되는데, 일런머스크 진형의 가치는 $3.5조 밖에 안되는 건 쫌 아쉽다? 라는 거였는데, 일런머스크가 공식적으로 두 회사의 합병을 이야기해버리면, (TESLA + SPCX) 합병회사는 AI의 5층짜리 케이크를 모두 Vertica…
🔥17👍9❤6🤔3
『이효석의 21세기 투자법』 독서후기 이벤트! 안녕하세요. 이효석입니다. 오랜 시간 치열한 고민 끝에 출간한 저의 신작, 『이효석의 21세기 투자법』을 읽어주시고 관심 보내주신 여러분께 감사드립니다. 자. 이제는 여러분의 이야기를 들려주세요~!! 어떤 문장이 마음에 남으셨는지, 읽으면서 어떤 경험이 떠오르셨는지 궁금합니다. 찬찬히 책을 읽어보시고 여러분의 독후감을 남겨주세요. ♥️ 독서 후기 이벤트 참여 방법 ✔️ 네이버 블로그 또는 티스토리에 독서 후기를 전체공개로 작성해주세요. ✔️ 아래 이벤트 페이지를 클릭 하신 후, 후기를 남긴 블로그 링크를 제출해주세요. ✔️ 마감: 10월 31일(토) 밤 11시 59분 ⬇️도서 이벤트 상세 내용 & 링크 제출 페이지 확인하기 ⬇️ https://21st-century-investing.…
👍13❤10🔥1
3가지 숫자로 AI 투자 감을 잡아보기! https://naver.me/5VxqT3s3 27년 예상되는 AI 인프라 투자(feat. MS) 1. $1.58조 내년에 AI 기업들에게 뿌려지는 돈은 대략 1.6조 달러 정도 될 것 같습니다. 현금은 1.4조이고, 리스가 0.2조네요; 그리고 빅테크 4사(구글 0.4, 아마존 0.3, 메타 0.2, 마소 0.2) 그리고 스페이스X가 0.13 정도로 감을 잡아보면 좋을 것 같습니다 . 2. 67% 중간에 $1.6조가 어디로 흘러가는 지를 보여주고 있는데, 마지막 빨간색이 International 입니다. $0.5조네요; 그럼 나머지 $1.1조는 다 미국입니다... 67%는 미국에서 다 해먹는다라고 볼 수 있는 거죠; 그 외에도 엔비디아와 삼성전자, 하이닉스, 브로드컴 등등으로 돈이 어떻게 흘러…
👍24❤18
눈으로 직접 보는 게 이렇게 중요하군요! 이렇게 많은 데이터센터가 건설되고 있으니, 문제가 된다는 뉴스가 많이 들리는 것도 자연스러운 거겠죠. 그런데, 문득 그런 생각도 하게됩니다. 문제가 된다는 사이트 말고는 다 잘되고 있다는 거 아닐까? 데이터센터와 관련된 FUD가 많지만, Semianalysis에 의하면, 2027년에는 한 해동안 +50GW가 건설될 예정이라고 합니다. 50GW는 2024년까지 전세계 누적 데이터센터 시장을 1년만에 건설하는 속도입니다. https://newsletter.semianalysis.com/p/datacenters-2027-the-year-of-acceleration
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1시간 남았습니다! 휴... 이렇게 복잡하고 어수선할 때는 연금에 지수투자 해놓은게 있어서 조금이라도 안심이 되는 게 있는 것 같습니다. 근데 지수투자 하는 것도 어떤 계좌에서 하는 지 어떤 ETF로 투자해야 하는 지 막상 해보려고 하면 어려운데, 리나와 한나의 ETF 시뮬레이터가 진짜 도움이 많이 됩니다. 공짜로 받으시려면 오늘 밤 12시까지 신청하시면 됩니다. https://fanding.kr/@joosik_jooboo/events/2528
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프랑스 현재상황이라고.. 휴…
😱92🔥8❤4⚡3
프랑스까지.. “This is what it looks like when civilization ends.” → “문명이 종말을 맞이할 때의 모습이 바로 이런 것이다.” 애크먼이 인용한 게시물에는 다음과 같이 적혀 있습니다. 🇫🇷 프랑스 리모주(Limoges) 시청이 오늘 밤 방화로 인해 붕괴하고 있습니다. 현재 이 시각에도 다른 도시들에서 피해가 계속되고 있습니다. https://naver.me/FSvtX77h
😱26❤3
Showing the 12 most recent of 242 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.
@HS_academy edited 2 posts 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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.
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 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.
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.
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.
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 23 October 2026 — this entry's latest reading, not the date you are reading this.
“HS아카데미 대표 이효석” (@HS_academy), 36,073 subscribers as measured 23 October 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.