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Channel

호그니엘

@hogniel

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

15,327subscribers

+168 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001301601966
TypeChannel
Username@hogniel
Created18 June 2020measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live17 September 2026
Measurements held32
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/hogniel

Topic

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 73% 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.

Growth

15,15215,38615,2696 August 2026 — 15,159 subscribers6 August 2026 — 15,159 subscribers6 August 2026 — 15,160 subscribers7 August 2026 — 15,152 subscribers8 August 2026 — 15,158 subscribers9 August 2026 — 15,162 subscribers10 August 2026 — 15,152 subscribers11 August 2026 — 15,154 subscribers12 August 2026 — 15,156 subscribers14 August 2026 — 15,154 subscribers15 August 2026 — 15,168 subscribers16 August 2026 — 15,170 subscribers17 August 2026 — 15,176 subscribers19 August 2026 — 15,168 subscribers19 August 2026 — 15,172 subscribers21 August 2026 — 15,201 subscribers22 August 2026 — 15,205 subscribers25 August 2026 — 15,375 subscribers26 August 2026 — 15,386 subscribers28 August 2026 — 15,378 subscribers29 August 2026 — 15,370 subscribers30 August 2026 — 15,364 subscribers31 August 2026 — 15,361 subscribers1 September 2026 — 15,364 subscribers2 September 2026 — 15,362 subscribers4 September 2026 — 15,356 subscribers6 September 2026 — 15,348 subscribers9 September 2026 — 15,320 subscribers12 September 2026 — 15,314 subscribers13 September 2026 — 15,315 subscribers15 September 2026 — 15,324 subscribers17 September 2026 — 15,327 subscribers15,3276 August 202617 September 2026
32 measurements spanning 43 days, net +168. 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 15,117–15,421 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)SubscribersChange
17 Sept 2026, 17:4015,327+3
15 Sept 2026, 14:5915,324+9
13 Sept 2026, 20:1815,315+1
12 Sept 2026, 00:1815,314-6
9 Sept 2026, 16:5915,320-28
6 Sept 2026, 11:1915,348-8
4 Sept 2026, 03:1915,356-6
2 Sept 2026, 19:3615,362-2
1 Sept 2026, 16:2315,364+3
31 Aug 2026, 17:0615,361-3
30 Aug 2026, 16:2415,364-6
29 Aug 2026, 15:3815,370-8
28 Aug 2026, 13:0315,378-8
26 Aug 2026, 08:3315,386+11
25 Aug 2026, 08:4415,375+170
22 Aug 2026, 12:0415,205+4
21 Aug 2026, 00:5415,201+29
19 Aug 2026, 23:5315,172+4
19 Aug 2026, 02:0315,168-8
17 Aug 2026, 23:5115,176first reading

Engagement

724 posts held, back to 6 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 53 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
9.14%
avg views ÷ 15,327 subscribers
Avg views / post
1,400
316 posts measured
Reaction rate
0.459%
reactions ÷ views · ER floor
Posts in window
316
of 724 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. It is computed over the 172 of 316 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 3 September 2026
Posts held724 (6 August 20263 September 2026)
Views total442,677
Reactions total1,178
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 10:50 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

Video runtime
7m 01s
Average length
42s

Measured directly from 10 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

2,868 reactions across 385 posts, in 46 distinct kinds. The most used accounts for 18.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
53118.5%
👍41714.5%
🖕29010.1%
🤮2619.10%
😁2077.22%
🤬1936.73%
🤣1244.32%
👎983.42%
😭953.31%
🥰933.24%
💩692.41%
🔥692.41%
👏551.92%
😱511.78%
💯351.22%
🤔351.22%
🤩270.941%
👌250.872%
🍌200.697%
🤷180.628%
26 further kinds1555.40%

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 428 of the 724 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 3,005 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 724 most recent posts we hold, published 6 August 2026 to 3 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

3 Sept 2026, 10:48 UTC103 viewsread 3 September 2026

이름은 예쁜데 몸매가 못됐을지 여부가 관건이겠네영

3 Sept 2026, 09:55 UTC412 viewsread 3 September 2026
Forwarded from @kis_roboticsPhoto

[오픈AI, 챗GPT 넘어 로봇으로…휴머노이드 개발 공식화] : 오픈AI가 휴머노이드 로봇 개발을 공식화 : 3일 해외 보도에 따르면 샘 올트먼 오픈AI 최고경영자는 팟캐스트에 출연해 “우리는 분명히 휴머노이드 로봇을 개발할 것”이라 언급 : 오픈AI는 올해 로봇 부문을 신설 : 채용 공고에서는 맞춤형 전기기계식 액추에이터, 시뮬레이션 프로세스, 로봇 데이터 수집 등 구현 AI와 관련된 연구·개발 방향 확인 : 올트먼은 인간형 로봇 개발이 현실 세계의 구조와 관련이 있다고 설명 : 올트먼은 휴머노이드 로봇이 단기간에 일반 가정에 들어가기는 어렵다고 보고, 데이터센터 구축과 유지보수 등 산업 영역에서 먼저 활용될 가능성을 언급 : 장기적으로는 개인용 범용 로봇이 목표로 제시 ============================ h

3 Sept 2026, 09:44 UTC522 views1 reactionsread 3 September 2026
Forwarded from @aprilbioipr

이번에 저희가 새로 개발하는 RNA치료제의 유의미한 전임상 데이터가 나왔습니다. 이로써 RNA치료제 시장진출과 신규 파이프라인 확보에도 청신호가 켜졌습니다. 이중타겟 siRNA는 워낙 트렌디한 품목인만큼 초기단계에서 POC만 나와준다면 관심있어하는 기업들도 많습니다. 계속 잘 개발해서 좋은 성과내도록 하겠습니다. 보다 자세한 내용은 내일 다시 공유드리겠습니다. 감사합니다.

1

3 Sept 2026, 09:43 UTC490 viewsread 3 September 2026
Forwarded from @thebio111

에이프릴바이오가 자사의 이중 표적 리보핵산 간섭(RNAi) 후보물질인 ‘APB-O-001(개발코드명)’의 초기 전임상 약력학(PD) 데이터를 공개했습니다. 에이프릴바이오에 따르면 APB-O-001은 단일 투여로 ‘PCSK9’과 ‘APOC3’ 간 유전자 발현을 동시에 억제하는데 성공했습니다. APB-O-001은 이중특이성 작은 간섭 RNA(bispecific siRNA) 기반의 복합이상지질혈증 치료제 후보물질입니다. 이로써 에이프릴바이오는 RNA 치료제 시장 진출과 신규 파이프라인 확보에 청신호가 켜졌다는 평가입니다. 에이프릴바이오가 수행한 갈낙(GalNAc) 접합 siRNA 간 표적 연구에서 APB-O-001은 마우스에 단회 투여한 결과 간 조직 내 ‘PCSK9’과 ‘APOC3’ 메신저 RNA(mRNA)를 동시에 억제했습니다. 특히 이

3 Sept 2026, 09:39 UTC633 views1 reactionsread 3 September 2026

호그니엘디지탈은 어떨까몰겐네영

🔥1

3 Sept 2026, 09:26 UTC597 viewsread 3 September 2026

써니전자 지분 매집은 KX의 과거 M&A와 구분해 볼 필요가 있다. KX 측이 최대주주 지위는 확보했지만 13.50%만으로 이사회와 회사 자산을 곧바로 지배할 수 있는 것은 아니기때문이다. 추가 지분 취득과 이사 선임 요구, 임시주주총회 소집 또는 주주총회 표 대결 여부에 따라 실질적인 경영권 장악 여부가 판가름 날 전망이다.

3 Sept 2026, 09:22 UTC661 viewsread 3 September 2026

https://www.thefairnews.co.kr/news/articleView.html?idxno=87041

3 Sept 2026, 09:19 UTC428 viewsread 3 September 2026
Forwarded from @cahier_de_marketPhoto

모건스탠리 3분기 디램/낸드 전 부문 ASP 상승률 예상치 상향조정

Showing the 12 most recent of 724 posts we hold for @hogniel. 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.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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1 post
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1 post
습관이 부자를 만든다. 🧘
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Trends & Tips 😎⚡️
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Republishes

Channels on the register whose posts this channel has forwarded.

Republishes 134 registered channels. The 48 listed are the ones this channel has forwarded most; the rest are counted here but not each listed.

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27 posts
습관이 부자를 만든다. 🧘
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15 posts
텐렙
@Ten_level · 17,133
10 posts
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9 posts
다영의 뉴스공장
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8 posts
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8 posts
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7 posts
루팡
@bornlupin · 48,016
6 posts
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6 posts
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6 posts
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@hedgehara · 19,075
5 posts
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5 posts
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4 posts
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요약하는 고잉
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3 posts
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3 posts
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2 posts
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2 posts
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2 posts
점프
@jump0000 · 3,171
2 posts

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 3 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.

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.

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.

YIELD & SPREAD
@yieldnspread · 22,030
Telegram ranks this channel #1 of 89 here — alongside 88 others — read 21 September 2026
엄브렐라리서치 Jay의 주식투자교실
@Jstockclass · 25,947
Telegram ranks this channel #2 of 90 here — alongside 89 others — read 13 September 2026
YM리서치
@ym_research · 40,010
Telegram ranks this channel #2 of 89 here — alongside 88 others — read 2 September 2026
시장 이야기 by 제이슨
@bumgore · 35,332
Telegram ranks this channel #2 of 89 here — alongside 88 others — read 2 September 2026
유진투자증권 코스닥벤처팀
@SmallCap · 23,201
Telegram ranks this channel #3 of 96 here — alongside 95 others — read 19 September 2026
김찰저의 관심과 생각 저장소
@kimcharger · 24,877
Telegram ranks this channel #3 of 88 here — alongside 87 others — read 15 September 2026
그로쓰리서치(Growth Research) [독립리서치]
@growthresearch · 40,127
Telegram ranks this channel #3 of 90 here — alongside 89 others — read 2 September 2026
주식 급등일보🚀급등테마·대장주 탐색기 | Korean Stocks
@FastStockNews · 128,921
Telegram ranks this channel #3 of 92 here — alongside 91 others — read 2 September 2026
서화백의 그림놀이 🚀
@easobi · 23,632
Telegram ranks this channel #4 of 87 here — alongside 86 others — read 18 September 2026
급등일보 미국주식🇺🇸 속보·매크로·리서치
@FastStockNewsUSA · 40,651
Telegram ranks this channel #4 of 89 here — alongside 88 others — read 2 September 2026
여의도스토리 Ver2.0-习近平是个狗东西
@YeouidoStory2 · 58,446
Telegram ranks this channel #4 of 92 here — alongside 91 others — read 2 September 2026
실시간 주식 뉴스
@realtime_stock_news · 37,253
Telegram ranks this channel #5 of 93 here — alongside 92 others — read 2 September 2026
타점 읽어주는 여자(타자)
@tazastock · 40,320
Telegram ranks this channel #5 of 89 here — alongside 88 others — read 2 September 2026
Yeouido Lab_여의도 톺아보기
@Yeouido_Lab · 43,309
Telegram ranks this channel #5 of 90 here — alongside 89 others — read 2 September 2026
루팡
@bornlupin · 48,016
Telegram ranks this channel #5 of 91 here — alongside 90 others — read 2 September 2026
AWAKE - 실시간 주식 공시 정리채널
@darthacking · 65,096
Telegram ranks this channel #5 of 91 here — alongside 90 others — read 2 September 2026
Buff
@bufkr · 22,258
Telegram ranks this channel #6 of 89 here — alongside 88 others — read 21 September 2026
⚡️번개맞은뉴스 - 상위2% 주식텔레그램 채널
@stock_messenger · 25,581
Telegram ranks this channel #6 of 90 here — alongside 89 others — read 14 September 2026
도PB의 생존투자
@survival_DoPB · 22,275
Telegram ranks this channel #8 of 90 here — alongside 89 others — read 21 September 2026
키움증권 미국주식 톡톡
@kwusa · 36,528
Telegram ranks this channel #8 of 92 here — alongside 91 others — read 2 September 2026
조기주식회 공부방
@EarlyStock1 · 24,432
Telegram ranks this channel #11 of 91 here — alongside 90 others — read 16 September 2026
에테르의 일본&미국 리서치
@aetherjapanresearch · 34,469
Telegram ranks this channel #19 of 89 here — alongside 88 others — read 3 September 2026
[메리츠 Tech 김선우, 양승수, 김동관]
@merITz_tech · 24,008
Telegram ranks this channel #21 of 92 here — alongside 91 others — read 17 September 2026
하나 중국/신흥국 전략 김경환
@HANAchina · 35,284
Telegram ranks this channel #27 of 92 here — alongside 91 others — read 2 September 2026

This channel appears in 36 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.

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 17 September 2026 — this entry's latest reading, not the date you are reading this.

“호그니엘” (@hogniel), 15,327 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/hogniel.

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.