긴급 시황 점검입니다 (w. 제이) https://www.youtube.com/live/YW9m0YtooQg?si=6uGbqDonV73Fe_-K
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Channel
@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.
| 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 | 6 September 2026 |
| Measurements held | 29 |
| Confirmed unchanged | 1 time, most recently 6 September 2026 |
| On Telegram | t.me/HS_academy |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Sept 2026, 01:40 | 36,204 | -2 |
| 3 Sept 2026, 19:39 | 36,206 | -5 |
| 2 Sept 2026, 12:08 | 36,211 | +5 |
| 1 Sept 2026, 10:57 | 36,206 | +5 |
| 31 Aug 2026, 14:05 | 36,201 | +14 |
| 30 Aug 2026, 12:42 | 36,187 | +11 |
| 29 Aug 2026, 12:35 | 36,176 | +24 |
| 28 Aug 2026, 14:06 | 36,152 | +14 |
| 27 Aug 2026, 13:42 | 36,138 | +17 |
| 26 Aug 2026, 13:43 | 36,121 | +35 |
| 25 Aug 2026, 12:28 | 36,086 | +53 |
| 24 Aug 2026, 11:08 | 36,033 | +44 |
| 22 Aug 2026, 17:47 | 35,989 | +13 |
| 21 Aug 2026, 05:24 | 35,976 | +82 |
| 20 Aug 2026, 02:02 | 35,894 | +39 |
| 19 Aug 2026, 01:52 | 35,855 | +3 |
| 18 Aug 2026, 00:07 | 35,852 | +4 |
| 16 Aug 2026, 22:24 | 35,848 | +8 |
| 15 Aug 2026, 16:25 | 35,840 | +17 |
| 14 Aug 2026, 01:17 | 35,823 | first reading |
131 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 70 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.
| Window | Rolling 30 days · latest post in window 8 September 2026 |
|---|---|
| Posts held | 131 (31 July 2026 – 8 September 2026) |
| Views total | 1,049,490 |
| Reactions total | 6,610 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 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.
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.
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.
8,585 reactions across 130 posts, in 18 distinct kinds. The most used accounts for 44.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 3,829 | 44.6% | |
| 👍 | 3,128 | 36.4% | |
| 😱 | 350 | 4.08% | |
| 🤩 | 155 | 1.81% | |
| 👏 | 151 | 1.76% | |
| 🎉 | 148 | 1.72% | |
| 🤯 | 148 | 1.72% | |
| 🙏 | 147 | 1.71% | |
| 🤔 | 144 | 1.68% | |
| 🤣 | 127 | 1.48% | |
| 😢 | 116 | 1.35% | |
| 😁 | 97 | 1.13% | |
| 🔥 | 27 | 0.315% | |
| 🥰 | 7 | 0.082% | |
| ⚡ | 4 | 0.047% | |
| 🕊 | 3 | 0.035% | |
| 👌 | 2 | 0.023% | |
| 😍 | 2 | 0.023% |
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.
긴급 시황 점검입니다 (w. 제이) https://www.youtube.com/live/YW9m0YtooQg?si=6uGbqDonV73Fe_-K
🤣6🎉4👍3❤1
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
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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 …
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🚨 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 …
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이 영상은 나중에 쫌 오래 기억해주세요 ㅎㅎ 생각을 좀 더 깔끔하게 정리해서 "설명"했습니다 https://youtu.be/UXtdMbb9RG4
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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 …
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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 …
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오늘 주말라이브에서는 OpenAI astra 성능에 대한 설명과 투자관점의 시사점을 설명했습니다! 세상에 크롱 흉내까지 내면서 말이죠 ㅋ https://naver.me/5t7zgGdd
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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
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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…
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오늘은 전체공개로 '모닝효라이브'를 진행해보도록 하겠습니다! https://youtube.com/live/5VIx7lNz6Gg?feature=share
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🔥 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…
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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.
@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.
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 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.