Channel
@EarlyStock1
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
24,313subscribers
+149 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001892942610 |
|---|---|
| Type | Channel |
| Username | @EarlyStock1 |
| Created | 22 April 2023 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 22 October 2026 |
| Measurements held | 43 |
| Confirmed unchanged | 1 time, most recently 22 October 2026 |
| On Telegram | t.me/EarlyStock1 |
Other / unclassifiable — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 84% 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 |
|---|---|---|
| 22 Oct 2026, 08:37 | 24,313 | -3 |
| 21 Oct 2026, 04:16 | 24,316 | -5 |
| 20 Oct 2026, 05:52 | 24,321 | -6 |
| 19 Oct 2026, 03:17 | 24,327 | -2 |
| 17 Oct 2026, 00:11 | 24,329 | -6 |
| 15 Oct 2026, 21:44 | 24,335 | +1 |
| 14 Oct 2026, 19:37 | 24,334 | -4 |
| 13 Oct 2026, 11:01 | 24,338 | -12 |
| 9 Oct 2026, 08:42 | 24,350 | -22 |
| 4 Oct 2026, 21:40 | 24,372 | -30 |
| 27 Sept 2026, 15:37 | 24,402 | -30 |
| 17 Sept 2026, 15:39 | 24,432 | -17 |
| 15 Sept 2026, 15:38 | 24,449 | -2 |
| 14 Sept 2026, 02:19 | 24,451 | +1 |
| 12 Sept 2026, 08:02 | 24,450 | -5 |
| 10 Sept 2026, 05:16 | 24,455 | -18 |
| 7 Sept 2026, 01:20 | 24,473 | +21 |
| 4 Sept 2026, 10:41 | 24,452 | -11 |
| 2 Sept 2026, 20:49 | 24,463 | +32 |
| 1 Sept 2026, 20:44 | 24,431 | first reading |
393 posts held, back to 4 August 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 103 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 138 of 141 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 22 October 2026 |
|---|---|
| Posts held | 393 (4 August 2026 – 22 October 2026) |
| Views total | 714,078 |
| Reactions total | 3,173 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 22 Oct 2026, 01:23 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.
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.
8,737 reactions across 361 posts, in 5 distinct kinds. The most used accounts for 59.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 5,219 | 59.7% | |
| 👍 | 2,382 | 27.3% | |
| 🔥 | 908 | 10.4% | |
| 🥰 | 140 | 1.60% | |
| 👏 | 88 | 1.01% |
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 380 of the 393 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 9,187 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 393 most recent posts we hold, published 4 August 2026 to 22 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.
앤스로픽, AI에이전트 시대에 합류하다. 개인용 AI에이전트 Claude Duet 공개 Anthropic은 미국 Pro 및 Max 구독자를 대상으로 대기자 명단을 통해 Claude Duet의 리서치 프리뷰를 공개했습니다. Claude Duet은 Claude가 능동형 에이전트로 일하는 새로운 앱으로, iOS·Android 단독 앱과 claude.ai에서 이용할 수 있으며 기존 요금제의 사용량 한도를 함께 사용합니다. 할 일이 많은 전문직 종사자와 소상공인을 위해 설계되었으며, Claude Opus 5.5를 기반으로 무엇이 사용자의 판단을 필요로 하고 무엇을 미뤄도 되는지 스스로 가려내는 판단력이 핵심입니다. 매일 아침 연결된 앱 전반의 주요 사항을 간략히 브리핑하고, 몇 시간마다 계정을 확인해 주의가 필요할 때만 메시지를 보내며, 회의 일정 …
Signed 벤저민규
메타 3분기 어닝콜 중 저커버그: "MUSE는 명확한 제품·시장 적합성(Product-Market Fit)을 확보했으며, 이제 대규모 확장 단계에 진입했다." - MUSE는 메타가 추진하는 개인 초지능(Personal Superintelligence) 전략의 핵심 제품. - 출시 약 1개월 반 만에 미국과 캐나다에서 1,000만 명 이상이 개인 AI 에이전트를 설정. - 앱스토어에서 거의 매일 1위 기록. - MUSE 설정 사용자 중 약 25%가 매일 사용. - 초기 이용자의 사용 기간이 길어질수록 유지율이 개선되는 추세. - 초기 일간 이용률은 스레드 출시 초기 및 메타가 추정하는 다른 AI 앱 초기 수준의 2배 이상. 가장 중요한 사용 사례는 쇼핑. - MUSE 활성 이용자의 25% 이상이 쇼핑 기능 활용. - 평균 구매 금액은…
👍6❤5
Signed 리아멍거
https://n.news.naver.com/article/052/0002421933?sid=100 이상하네… 김정은이 멀쩡하면 왜 김여정 단독으로 이렇게 전면에 서서 노이즈를 계속 만들지… 제가 촉이 좀 좋은데 이번에는 몬가 문제가 생긴게 맞는듯한 느낌 흠..
👍21👏3❤2🔥2
Signed 리아멍거
청원해주신 모든 분들 감사드립니다^^ 안하신 분들도 많을수록 좋으니 더 화력 보여주시죠!
❤37
Signed 리아멍거
5만명 완료!
❤41
Signed 리아멍거
ㅜㅜ
❤7
Signed 성바
아신이 욕 쳐 먹는다 = 반도체가 반등한다
❤10
Signed 성바
아신형님 메모리의 미래를 위해 희생해 주세요ㅋㅋㅋㅋㅋ
❤14
Signed 성바
최근 출연하는 영상마다 욕으로 도배가 돼 있더라고요. 마치 25년 4월 트럼프 상호 관세 때처럼…하이일드 스프레드 지표보다 댓글 욕 지표가 더 잘 맞는 듯 합니다 ㅠㅠ 이걸 웃어야 할지 울어야 할지…
❤10
Signed 성바
NVIDIA는 GTC Berlin에서 주요 반도체 공급망 파트너들과 새로운 협정을 발표하며, 현재 및 차세대 AI 플랫폼의 제조 용량을 확대했습니다. 계획된 내용은 다음과 같습니다: • Amkor: 2028년 말까지 한국 내 첨단 패키징 인터포저 웨이퍼 용량을 300% 이상 증가시키며, 새로운 제조 시설을 함께 건설합니다. • IBIDEN, Samsung Electro-Mechanics, Unimicron: 향후 3년 동안 기판 용량을 2.5배 확대하며, 일본, 한국, 대만에서 생산 확대를 진행합니다. • KYEC: NVIDIA로부터 11억 달러 규모의 용량 예약 선지급을 지원받아 미국에 새로운 반도체 테스트 시설을 건설합니다. 대량 생산은 2027년 4월을 목표로 합니다. • SPIL: 2027년 중반까지 공동 패키징 광학을 위한 …
👍6❤5
Signed 벤저민규
안녕하세요 디앤디파마텍입니다. 글로벌 비즈니스 전문 매체 Investment Reports에 당사 이슬기 대표의 단독 인터뷰가 공개되어 공유해 드립니다. 이번 인터뷰는 워싱턴포스트(The Washington Post)와 코리아 소사이어티(The Korea Society)의 파트너십을 통해 기획된 한국 특집 비즈니스 리포트 'Korea's Next Chapter' 프로젝트의 일환으로 진행되었습니다. [주요 인터뷰 내용 요약] ▶️ 자보페그두타이드(DD01): MASH 치료제 • 임상 2상 48주 조직생검을 통해 위약군 대비 통계적으로 유의한 MASH 해소 및 섬유화 개선 효과 입증 • 글로벌 빅파마와의 파트너링 추진 및 이에 기반한 임상 3상 진입 계획 ▶️ TLY012: 차세대 섬유화 질환 치료제 • 간경변증, 전신경화증, 만…
👍8❤4🔥2
Signed 리아멍거
Meta Muse, 출시 40일 만에 미국 다운로드 1,000만건 돌파 Meta의 AI 에이전트 앱 Muse가 출시 40일 만에 미국 다운로드 1,020만건 기록. Threads·Disney+ 등 역대 12개 앱만 달성한 기록으로, 동 기간 ChatGPT 370만건·Grok 50만건·Claude 20만건을 크게 상회. 이용자 유지율도 경쟁사보다 높음. 출시 14일 후 유지율은 23%로 경쟁 AI 앱 평균 16%를 웃돌았으며, 10월 16일 일간 활성 이용자도 250만명에 도달. 배경에는 Meta의 기존 앱 생태계와 공격적인 광고 투자. 전체 광고비 중 Muse 비중을 9월 23% → 10월 39%로 확대. 다만 Muse는 미국·캐나다에서만 출시된 반면 ChatGPT는 초기부터 여러 국가에 출시돼, 전 세계 다운로드는 ChatGPT가 더…
❤5
Signed 벤저민규
Showing the 12 most recent of 393 posts we hold for @EarlyStock1. 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.
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.
Republishes 84 registered channels. The 48 listed are the ones this channel has forwarded most; the rest are counted here but not each listed.
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 4 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.
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 16 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 26 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.
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 22 October 2026 — this entry's latest reading, not the date you are reading this.
“조기주식회 공부방” (@EarlyStock1), 24,313 subscribers as measured 22 October 2026. Telegram Register, tgregister.com/channel/EarlyStock1.
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.