[현재 제 다리는 정상적으로 걸을 수가 없는 상태가 되었습니다.] https://blog.naver.com/briller_research/224376754146
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Channel
@BRILLER_Research
On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry
18,101subscribers
-9 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001970745689 |
|---|---|
| Type | Channel |
| Username | @BRILLER_Research |
| Description | "나는 날마다 모든 면에서 점점 더 좋아지고 있다!" |
| Created | Between 1 April 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/BRILLER_Research |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 06:18 | 18,101 | -5 |
| 11 Aug 2026, 07:05 | 18,106 | -1 |
| 10 Aug 2026, 05:15 | 18,107 | -9 |
| 9 Aug 2026, 03:52 | 18,116 | +3 |
| 8 Aug 2026, 01:21 | 18,113 | -3 |
| 7 Aug 2026, 00:17 | 18,116 | +6 |
| 6 Aug 2026, 11:00 | 18,110 | no change |
| 6 Aug 2026, 10:53 | 18,110 | first reading |
21 posts held, back to 29 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 17 pagesof 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 12 August 2026 |
|---|---|
| Posts held | 21 (29 July 2026 – 12 August 2026) |
| Views total | 169,590 |
| Reactions total | 1,102 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Aug 2026, 00:15 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 13 August 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.
1,102 reactions across 21 posts, in 7 distinct kinds. The most used accounts for 40.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🙏 | 451 | 40.9% | |
| 👍 | 357 | 32.4% | |
| ❤ | 182 | 16.5% | |
| 🔥 | 64 | 5.81% | |
| 😁 | 25 | 2.27% | |
| 💯 | 20 | 1.81% | |
| 😍 | 3 | 0.272% |
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 21 of the 21 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 1,102reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 21 most recent posts we hold, published 29 July 2026 to 12 August 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @BRILLER_Research. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 21 most recent posts we hold for this entry, published 29 July 2026 to 12 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
[현재 제 다리는 정상적으로 걸을 수가 없는 상태가 되었습니다.] https://blog.naver.com/briller_research/224376754146
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드디어 실적이 아무리 잘 나와도 늘 나오던 셀온 패턴이 이번 컨콜을 시점으로 부셔졌네요 ㅎㅎ 에이피알 화이팅!🫶🏻 실적도 매분기 성장하고 컨콜도 매분기 성장하는 성장형 기업입니다!
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[2Q26 에이피알 컨콜 요약] by BRILLER(t.me/BRILLER_Research) 매분기 최대 실적, 2Q26 분기 최초 7천억 돌파 북미와 유럽 해외 매출 고성장 신규 SKU판매 확대 미국 오프라인 유럽 온라인 확장 효과 화장퓸/뷰티 세자릿수 성장률 지속 ⭕️ 아마존 프라임데이 성과 미국 당사제품 11개가 Top100에 들었음 유럽에서도 영국, 프랑스, 스페인, 이탈리아, 독일 주요 5개 국에서 평균 7개이상이 Top100에 들었음 신제품 콜라겐 글로우 선크림 누적 40만개 돌파 ⭕️ 지역별 매출비중을 이번 분기부터 북미, 유럽, 아시아, 한국, 기타로 구별 (기존에는 국내, 미국, 기타, 일본, 중화권으로 표기하였음) 유럽을 추가하여 국가별 매출 비중을 더 잘 알 수 있게 변경 (투자자들을 위한 친절함 최고입니다!ㅎㅎ…
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북미에 이어 유럽도 올해부터 본격적인 성장을 시작하고 있음을 확인가능 참고로 단일국가로는 화장품시장이 미국이 가장 크지만 유럽전체시장은 미국보다 더 큰 시장임
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매출은 1Q26대비 29.34%증가 OP는 1Q26대비 25.15%증가 매분기 두자릿수 성장률을 연속적으로 꾸준히 보여주네요.
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[에이피알 OPM 변화] by BRILLER(t.me/BRILLER_Research) 2Q26 - opm 24.83%🔥 1Q26 - opm 25.67%🔥 4Q25 - opm 23.76%🔥 3Q25 - opm 24.90%🔥 2Q25 - opm 25.82%🔥 1Q25 - opm 20.53%🔥 4Q24 - opm 16.26% 3Q24 - opm 15.62% 2Q24 - opm 18.01% 1Q24 - opm 18.67%
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2026.08.05 09:30:53 기업명: 에이피알(시가총액: 13조 1,221억) A278470 보고서명: 연결재무제표기준영업(잠정)실적(공정공시) 매출액 : 7,675억(예상치 : 7,366억+/ 4%) 영업익 : 1,906억(예상치 : 1,787억/ +7%) 순이익 : 1,415억(예상치 : 1,376억+/ 3%) **최근 실적 추이** 2026.2Q 7,675억/ 1,906억/ 1,415억 2026.1Q 5,934억/ 1,523억/ 1,173억 2025.4Q 5,476억/ 1,303억/ 988억 2025.3Q 3,859억/ 961억/ 746억 2025.2Q 3,277억/ 846억/ 663억 공시링크: https://dart.fss.or.kr/dsaf001/main.do?rcpNo=20260805800100 회사정보: https:…
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[260804 내일은 에이피알 2Q26 실적발표와 공개 분기실적 컨콜이 있는 날입니다!] by BRILLER(t.me/BRILLER_Research) ⭕️ 내일 10시부터 에이피알 공홈에서 누구나 자유롭게 분기실적 IR을 공개된 오디오 웹케스팅을 통해 들을 수 있습니다. + ⭕️ 에이피알 실적에 영향을 미치는 중요한 행사가 2개가 있는데 첫 번째는 아마존 블랙프라이데이며 두 번째가 아마존 프라임데이 입니다. ⭕️ 통상 아마존 프라임데이는 7월에 진행 되기에 에이피알 실적에서 3Q에 반영되는 행사였으나 올해는 아마존 프라임데이 11년 행사 역사상 처음으로 6월에 진행되었으며 06월 23일~06월 26일 까지 총 4일에 걸쳐서 진행되었습니다. ⭕️ 때문에 이번 에이피알 2Q26실적에는 아마존 프라임데이의 실적이 오롯이 반영이 되게 됩니다…
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7월 막판 손익비가 좋아진 구간에서 아무도 예상하지 못한 방법으로 이렇게 또 급격한 급등을 보여주네요. 공포에 질려 매도하지 않고 홀딩하신 분들 저스스로에게도 조그마한 칭찬을 해주면서ㅎㅎ 모두 축하드립니다! 코로나때도 그랬지만 자본의 가치가 증가하려면 전제조건은 주식을 들고 있어야 한다라는 사실은 변함이 없습니다.
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레버리지 자금이 마무리 된 후 단기간에 급격하게 빠졌던 메모리 관련 주식들이 하루만에 현재 급등하면서 확연히 돌아 섰습니다. 메모리 관련 기업들 공매도 쳐놓은 자금들도 많은 상황인데 급등이 연속해서 나오면 숏 스퀴즈 또한 목격할 수 있을거 같습니다.
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240억 달러 펀드, 공개 주식 전량 매각으로 몰린 마진 압박 (요약 by http://t.me/Wave_Research) • 레오폴드 아셴브레너의 시추에이셔널 어웨어니스가 「공개 주식 보유분 전량을 매각」한 것으로 전해집니다. 프라임 브로커들이 마진 요건을 맞추기 위해 급히 현금 확보에 나선 결과이며, 대형 투자사가 자산을 인수하는 데 합의한 것으로 알려졌습니다. • 손실은 양방향에서 났습니다. SK하이닉스 같은 AI 인프라 롱이 밀리는 동안 「어도비 등 소프트웨어 숏 포지션도 반대로」 움직였습니다. • BofA와 골드만삭스, JP모건이 포지션을 질서 있게 줄이는 작업에 관여했고, 롱과 숏 양쪽 물량을 목요일 개장 전에 매각 대상으로 내놨습니다. 앤스로픽 지분 매각설은 회사가 부인했습니다. • 1분기 말 최대 보유 종목이던 네비우스와 샌디스…
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레오폴드 아센브레너 전량 청산하여 매각 https://www.google.com/amp/s/www.cnbc.com/amp/2026/07/30/leopold-aschenbrenners-hedge-fund-is-facing-steep-ai-losses.html
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Showing the 12 most recent of 21 posts we hold for @BRILLER_Research. 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.
Citation-graph rank — 198,873 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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 8 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.
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“BRILLER” (@BRILLER_Research), 18,101 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/BRILLER_Research.
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.