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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

15,362subscribers

+203 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 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live6 November 2026
Measurements held56
Confirmed unchanged1 time, most recently 6 November 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 the other topics.

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 subscribers27 September 2026 — 15,315 subscribers4 October 2026 — 15,284 subscribers9 October 2026 — 15,293 subscribers13 October 2026 — 15,305 subscribers14 October 2026 — 15,299 subscribers15 October 2026 — 15,309 subscribers16 October 2026 — 15,310 subscribers17 October 2026 — 15,308 subscribers18 October 2026 — 15,309 subscribers19 October 2026 — 15,306 subscribers23 October 2026 — 15,300 subscribers24 October 2026 — 15,294 subscribers25 October 2026 — 15,301 subscribers26 October 2026 — 15,302 subscribers27 October 2026 — 15,297 subscribers29 October 2026 — 15,293 subscribers30 October 2026 — 15,289 subscribers31 October 2026 — 15,287 subscribers1 November 2026 — 15,282 subscribers2 November 2026 — 15,324 subscribers3 November 2026 — 15,332 subscribers4 November 2026 — 15,342 subscribers5 November 2026 — 15,346 subscribers6 November 2026 — 15,362 subscribers15,3626 August 20266 November 2026
56 measurements spanning 92 days, net +203. 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 56
Measured (UTC)SubscribersChange
6 Nov 2026, 14:0115,362+16
5 Nov 2026, 12:3715,346+4
4 Nov 2026, 15:3515,342+10
3 Nov 2026, 16:3515,332+8
2 Nov 2026, 15:4515,324+42
1 Nov 2026, 14:3115,282-5
31 Oct 2026, 15:4615,287-2
30 Oct 2026, 15:4115,289-4
29 Oct 2026, 12:5915,293-4
27 Oct 2026, 10:4915,297-5
26 Oct 2026, 07:1615,302+1
25 Oct 2026, 04:4715,301+7
24 Oct 2026, 04:4615,294-6
23 Oct 2026, 01:3715,300-6
19 Oct 2026, 22:2815,306-3
18 Oct 2026, 19:1915,309+1
17 Oct 2026, 18:4615,308-2
16 Oct 2026, 18:4715,310+1
15 Oct 2026, 17:0115,309+10
14 Oct 2026, 19:5115,299first reading

Engagement

869 posts held, back to 6 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 61 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
11.4%
avg views ÷ 15,362 subscribers
Avg views / post
1,750
145 posts measured
Reaction rate
0.4%
reactions ÷ views · ER floor
Posts in window
145
of 869 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 83 of 145 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 6 November 2026
Posts held869 (6 August 2026 – 6 November 2026)
Views total253,327
Reactions total639
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Nov 2026, 17:28 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
≈12,800
Videos
≈1,280
Links
≈28,000

Lifetime counters from Telegram’s own channel header, read 6 November 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
8m 42s
Average length
44s

Measured directly from 12 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

3,507 reactions across 461 posts, in 49 distinct kinds. The most used accounts for 17.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤60717.3%
👍50814.5%
🤮35610.2%
🖕3469.87%
😁2797.96%
🤬2116.02%
🥰1424.05%
🤣1303.71%
😭1273.62%
👎1263.59%
💩892.54%
🔥822.34%
👏621.77%
😱511.45%
💯350.998%
🤔350.998%
🍌290.827%
👌290.827%
🤩270.77%
🤡230.656%
29 further kinds2136.07%

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 511 of the 869 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 3,644 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 869 most recent posts we hold, published 6 August 2026 to 6 November 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

Telegram’s own ‘edited’ marker: 6 of 145 posts held from the last 30 days (4.14%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

6 Nov 2026, 13:06 UTC631 viewsread 6 November 2026

* 코스닥 대표기업 키운다…"셀렉트 시총, 전체 3분의 1 수준 예상" - 최지우 한국거래소 코스닥시장본부 상무는 6일 서울 여의도 금융투자교육원에서 열린 한국재무학회 특별 정책심포지엄에서 셀렉트 규모에 관한 질문에 “코스닥150보다 종목 수를 더 줄여서 구성하려고 한다”며 편입 기업의 합산 시가총액으로 코스닥 전체의 약 3분의 1을 예상한다고 말했다. 그는 셀렉트 도입 취지에 대해 “코스닥 시장에서 대표 기업을 육성하자는 것”이라며 “궁극적으로는 코스피와 경쟁하자는 것”이라고 설명했다. 거래소는 셀렉트로 자금이 쏠릴 가능성에 대비해 일반 코스닥 기업에 대한 보완책도 논의하고 있다. 최 상무는 “벤처업계와 코스닥 상장기업들이 일반 코스닥의 낙인 효과나 셀렉트로 자금이 쏠리는 문제를 많이 우려하고 있다”며 일반군에 시장 자금이 충분히 유입되…

6 Nov 2026, 13:05 UTC373 viewsread 6 November 2026
Photo

>>테슬라, Cybertruck 생산 종료 결정…머스크, 로봇·AI로 자원 전환 •테슬라는 2027년 중반부터 Cybertruck 생산을 단계적으로 중단하고 Cybercab 생산을 확대할 계획임. 판매 부진과 잦은 리콜 영향으로 올해 1~3분기 Cybertruck 판매량은 전년비 28% 감소한 1만1,600대에 그쳤음. 테슬라는 향후 Cybercab, Optimus, 전기 대형트럭 Semi에 집중하며 사업을 AI와 자율주행 중심으로 전환 >特斯拉宣布终止Cybertruck生产,马斯克将资源转向机器人与AI赛道 https://wallstreetcn.com/articles/3785379#from=ios

6 Nov 2026, 09:58 UTC822 views5 reactionsread 6 November 2026

거래소 "코스닥 전 상장사 연 1회 IR 의무화 추진…미이행 시 제재" https://news.einfomax.co.kr/news/articleView.html?idxno=4443548

👍4👏1

6 Nov 2026, 09:17 UTC≈1,030 views1 reactionsread 6 November 2026

삼양식품은 금번 컨콜에서 가격인상 가능성을 열어둔 점이 의미있었던 것 같습니다. 추가 증설 발표가 나오나 했는데, 아쉽게도 증설 발표는 따로 없었네요. 아직 사이트를 다각적으로 검토하고 있다고 하셨습니다. 공사 기간이 통상 3년 정도 걸리는데 이보다 빨리 지을 수 있는지도 검토 사항이라고 언급 주셨습니다. 관세 환입 제외하면 약 1,800억원 수준으로, 3분기에 유럽쪽 거래선 조정과 일부 출항 지연등 이슈가 있었던 점을 감안하면 매우 선방했습니다. 타 업체대비 환율로 인항 영업이익 영향은 상당히 선방했습니다. (기존 컨센 부합) 환율이 많이 빠졌는데요, 미국, 중국 중심 수량 성장으로 매출 QoQ 성장했습니다. ⚡️삼양식품 3Q26P Re 매출액 7,918억원 (YoY 25.3%, QoQ 2.8%) 영업익 1,962억원 (YoY 4…

❤1

6 Nov 2026, 07:06 UTC≈1,730 views0 reactionsread 6 November 2026

[급락코멘트] 모르는 걸 알게 되거나, 몰라도 될 때까지 [Web발신] [급락코멘트] 모르는 걸 알게 되거나, 몰라도 될 때까지 안녕하세요, KB증권 주식전략 김민규입니다. - 알려진 안 좋은 것 보다 모르는 게 더 악재라는 걸 보여주는 급락입니다. 규제가 있을 것 같은데 어느 정도일지 모른다는 불안이 급락을 키웠는데, 2018년 트럼프 1기 중간선거 직후와 비슷하고 다른 부분도 있습니다. 2018년은 연말까지 높은 변동성, 2019년 연초부터 반등했습니다. - 2018년은 통화정책이 가장 영향이 컸는데, 현재는 규제의 영향이 가장 큽니다. 둘 다 악재지만 시장의 반응방식이 다릅니다. 연준에 대한 기대와 실망은 FOMC가 끝나면 다 반영되기에 증시도 2019년 1월 V자로 반등했지만, 지금의 ‘모른다’는 불확실성은 안다고 느껴질 때까지 …

6 Nov 2026, 06:50 UTC≈1,750 views18 reactionsread 6 November 2026

https://n.news.naver.com/mnews/article/024/0000109433?sid=101

👍18

6 Nov 2026, 06:41 UTC≈1,240 viewsread 6 November 2026

2026.11.06 15:38:28 기업명: 삼양식품(시가총액: 9조 1,903억) A003230 보고서명: 연결재무제표기준영업(잠정)실적(공정공시) 매출액 : 7,918억(예상치 : 8,052억/ -2%) 영업익 : 1,962억(예상치 : 1,829억/ +7%) 순이익 : 898억(예상치 : 1,382억/ -35%) **최근 실적 추이** 2026.3Q 7,918억/ 1,962억/ 898억 2026.2Q 7,703억/ 1,762억/ 1,375억 2026.1Q 7,144억/ 1,771억/ 1,445억 2025.4Q 6,377억/ 1,392억/ 956억 2025.3Q 6,320억/ 1,309억/ 1,100억 공시링크: https://dart.fss.or.kr/dsaf001/main.do?rcpNo=20261106800605 종목공시 : h…

6 Nov 2026, 06:18 UTC≈1,810 viewsread 6 November 2026

확실히 대만이 캉코쿠보단 금융선진국이네영

6 Nov 2026, 06:18 UTC≈1,300 viewsread 6 November 2026

https://www.edaily.co.kr/News/Read?newsId=05195526645643096&mediaCodeNo=257&utm_source=naver&utm_medium=referral&utm_campaign=news_syndication&utm_content=original_article

6 Nov 2026, 05:19 UTC≈2,420 views16 reactionsread 6 November 2026
Photo

Photo, posted without a caption

😁11🖕5

Showing the 12 most recent of 869 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.

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4 posts
요약하는 고잉
@one_going · 48,054
4 posts
돌다리🚦
@stbridgee · 4,635
4 posts
64비트사령부⚡️ 🇰🇷🇺🇸
@BTCpentagon · 6,560
3 posts
Bad Onion 나쁜양파
@Badonions · 4,740
3 posts
급등일보 미국주식🇺🇸 속보·매크로·리서치
@FastStockNewsUSA · 40,990
3 posts
Wave Research
@Wave_Research · 1,968
3 posts
카이에 de market
@cahier_de_market · 23,067
3 posts
가치투자클럽
@corevalue · 67,128
3 posts
DAJU - 기업 공시
@daju_dart · 4,571
3 posts
프리라이프
@free_life59 · 12,714
3 posts
도널드 J. 트럼프 대통령
@goddessTTF · 14,431
3 posts
여고생 코쨩👉🔕
@jkkospi · 3,804
3 posts
머니보틀
@moneybottle · 15,733
3 posts
제약/바이오/미용 원리버 Oneriver
@pharmbiohana · 29,781
3 posts
퀀텀 알고리즘
@quantum_ALGO · 7,611
3 posts
타점 읽어주는 여자(타자)
@tazastock · 40,946
3 posts
CTRINE
@teamctrine · 8,143
3 posts
스핀 - 공개방
@trading_spin · 2,682
3 posts
지엘리서치_ 독립리서치
@valjuman · 7,239
3 posts
변창호 코인사관학교 BCH
@BChoSN · 26,372
2 posts
D의 테크 투자
@DrDtech · 2,879
2 posts
오를주식 - 뉴스/경제/주식
@GoUpstock · 21,090
2 posts
AI 리서치 딥다이브_Seoul to Wall St.
@aicorporateanalysisdeepdive · 5,724
2 posts
다올 의료기기/화장품 박종현
@alexppark · 8,597
2 posts
알테오젠 IR
@alteogenIR · 9,779
2 posts
엘앤에프 & 2차전지 이야기
@battery4454 · 3,009
2 posts
문벵이의 배터리/로봇 투자
@battery_invest · 2,015
2 posts
돼지바
@bbong_tta · 12,875
2 posts
딘스티커 Dean's Ticker
@d_ticker · 16,130
2 posts
[하나 Global ETF] 박승진
@globaletfi · 20,562
2 posts
💻반도체 소부장💻[그로쓰리서치]
@growth_semi · 8,658
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.

선수촌
@athletes_village · 22,123
Telegram ranks this channel #1 of 88 here — alongside 87 others — read 23 September 2026
YIELD & SPREAD
@yieldnspread · 22,071
Telegram ranks this channel #1 of 89 here — alongside 88 others — read 21 September 2026
엄브렐라리서치 Jay의 주식투자교실
@Jstockclass · 26,524
Telegram ranks this channel #2 of 90 here — alongside 89 others — read 13 September 2026
YM리서치
@ym_research · 39,858
Telegram ranks this channel #2 of 89 here — alongside 88 others — read 2 September 2026
시장 이야기 by 제이슨
@bumgore · 35,371
Telegram ranks this channel #2 of 89 here — alongside 88 others — read 2 September 2026
회색인간의 매크로 + 투자
@mistergray_11 · 19,767
Telegram ranks this channel #3 of 78 here — alongside 77 others — read 1 October 2026
유진투자증권 코스닥벤처팀
@SmallCap · 23,020
Telegram ranks this channel #3 of 96 here — alongside 95 others — read 19 September 2026
김찰저의 관심과 생각 저장소
@kimcharger · 25,226
Telegram ranks this channel #3 of 88 here — alongside 87 others — read 15 September 2026
그로쓰리서치(Growth Research) [독립리서치]
@growthresearch · 40,111
Telegram ranks this channel #3 of 90 here — alongside 89 others — read 2 September 2026
주식 급등일보🚀급등테마·대장주 탐색기 | Korean Stocks
@FastStockNews · 128,885
Telegram ranks this channel #3 of 92 here — alongside 91 others — read 2 September 2026
서화백의 그림놀이 🚀
@easobi · 23,370
Telegram ranks this channel #4 of 87 here — alongside 86 others — read 18 September 2026
급등일보 미국주식🇺🇸 속보·매크로·리서치
@FastStockNewsUSA · 40,990
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 · 58,017
Telegram ranks this channel #4 of 92 here — alongside 91 others — read 2 September 2026
오를주식 - 뉴스/경제/주식
@GoUpstock · 21,090
Telegram ranks this channel #5 of 83 here — alongside 82 others — read 25 September 2026
실시간 주식 뉴스
@realtime_stock_news · 36,989
Telegram ranks this channel #5 of 93 here — alongside 92 others — read 2 September 2026
타점 읽어주는 여자(타자)
@tazastock · 40,946
Telegram ranks this channel #5 of 89 here — alongside 88 others — read 2 September 2026
Yeouido Lab_여의도 톺아보기
@Yeouido_Lab · 43,469
Telegram ranks this channel #5 of 90 here — alongside 89 others — read 2 September 2026
루팡
@bornlupin · 49,195
Telegram ranks this channel #5 of 91 here — alongside 90 others — read 2 September 2026
AWAKE - 실시간 주식 공시 정리채널
@darthacking · 65,596
Telegram ranks this channel #5 of 91 here — alongside 90 others — read 2 September 2026
Buff
@bufkr · 21,623
Telegram ranks this channel #6 of 89 here — alongside 88 others — read 21 September 2026
⚡️번개맞은뉴스 - 상위2% 주식텔레그램 채널
@stock_messenger · 25,253
Telegram ranks this channel #6 of 90 here — alongside 89 others — read 14 September 2026
도PB의 생존투자
@survival_DoPB · 22,092
Telegram ranks this channel #8 of 90 here — alongside 89 others — read 21 September 2026
키움증권 미국주식 톡톡
@kwusa · 36,253
Telegram ranks this channel #8 of 92 here — alongside 91 others — read 2 September 2026
조기주식회 공부방
@EarlyStock1 · 24,394
Telegram ranks this channel #11 of 91 here — alongside 90 others — read 16 September 2026

This channel appears in 45 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 6 November 2026 — this entry's latest reading, not the date you are reading this.

“호그니엘” (@hogniel), 15,362 subscribers as measured 6 November 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.