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Channel

BRILLER

@BRILLER_Research

On this record: Growth · Engagement · Reactions · Stars · Posts · Citations · Cite this entry

18,110subscribers

+0 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-1001970745689
TypeChannel
Username@BRILLER_Research
CreatedBetween 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live7 September 2026
Measurements held29
Confirmed unchanged1 time, most recently 7 September 2026
On Telegramt.me/BRILLER_Research

Growth

18,10118,30818,204.56 August 2026 — 18,110 subscribers6 August 2026 — 18,110 subscribers7 August 2026 — 18,116 subscribers8 August 2026 — 18,113 subscribers9 August 2026 — 18,116 subscribers10 August 2026 — 18,107 subscribers11 August 2026 — 18,106 subscribers12 August 2026 — 18,101 subscribers13 August 2026 — 18,306 subscribers14 August 2026 — 18,308 subscribers16 August 2026 — 18,303 subscribers17 August 2026 — 18,301 subscribers18 August 2026 — 18,283 subscribers19 August 2026 — 18,276 subscribers20 August 2026 — 18,272 subscribers21 August 2026 — 18,248 subscribers23 August 2026 — 18,238 subscribers25 August 2026 — 18,233 subscribers26 August 2026 — 18,221 subscribers27 August 2026 — 18,209 subscribers28 August 2026 — 18,197 subscribers29 August 2026 — 18,189 subscribers29 August 2026 — 18,186 subscribers30 August 2026 — 18,181 subscribers1 September 2026 — 18,169 subscribers2 September 2026 — 18,160 subscribers3 September 2026 — 18,145 subscribers4 September 2026 — 18,117 subscribers7 September 2026 — 18,110 subscribers18,1106 August 20267 September 2026
29 measurements spanning 32 days. 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 18,070–18,339 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 29
Measured (UTC)SubscribersChange
7 Sept 2026, 14:5618,110-7
4 Sept 2026, 17:1718,117-28
3 Sept 2026, 06:1418,145-15
2 Sept 2026, 02:2718,160-9
1 Sept 2026, 03:1318,169-12
30 Aug 2026, 23:5418,181-5
29 Aug 2026, 22:5318,186-3
29 Aug 2026, 00:5718,189-8
28 Aug 2026, 01:2418,197-12
27 Aug 2026, 02:5518,209-12
26 Aug 2026, 02:5418,221-12
25 Aug 2026, 00:4618,233-5
23 Aug 2026, 09:2518,238-10
21 Aug 2026, 17:5618,248-24
20 Aug 2026, 17:1518,272-4
19 Aug 2026, 19:1618,276-7
18 Aug 2026, 18:1718,283-18
17 Aug 2026, 15:2518,301-2
16 Aug 2026, 08:5618,303-5
14 Aug 2026, 18:0818,308first reading

Engagement

23 posts held, back to 29 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 55 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
85.9%
avg views ÷ 18,110 subscribers
Avg views / post
15,600
3 posts measured
Reaction rate
1.19%
reactions ÷ views · ER floor
Posts in window
3
of 23 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 3 September 2026
Posts held23 (29 July 20263 September 2026)
Views total46,660
Reactions total555
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 08:56 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.

Reaction mix

1,306 reactions across 23 posts, in 7 distinct kinds. The most used accounts for 46.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🙏60846.6%
👍36327.8%
21516.5%
🔥644.90%
😁292.22%
💯221.68%
😍50.383%

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 23 of the 23 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 1,306 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 23 most recent posts we hold, published 29 July 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.

Telegram Stars

Stars received
1
across the posts below
Posts paid on
1
of 23 we hold a reading for · 4%
Most on one post
1
single highest reading

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 23 most recent posts we hold for this entry, published 29 July 2026 to 3 September 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.

Recent posts

3 Sept 2026, 07:12 UTC≈1,630 views32 reactionsread 3 September 2026

[메디큐브 제품 검사 결과 및 품질 관리 관련 공식 입장] 자료출처 : 에이피알 공식 홈페이지(https://apr-in.com/) 메디큐브 PDRN 핑크 콜라겐 캡슐 크림과 관련하여 정확한 사실을 안내드립니다. ⭕️ 싱가포르 보건과학청(HSA)의 공식 검사 결과, 에이피알 싱가포르 법인(APR SG Pte. Ltd.)이 공식 공급한 제품에서는 수단레드가 검출되지 않았습니다. ⭕️ 이에 따라 에이피알 공식 유통 제품은 판매가 재개되었으며, 제품의 품질 및 안전성과 관련한 별도의 행정처분도 없었음을 알려드립니다. 이번 공식 검사 결과는 메디큐브가 기존에 공인 시험기관을 통해 진행한 다수의 검사 결과와도 일치합니다. 메디큐브는 객관적인 시험 결과를 통해 해당 제품에 제기된 우려와 관련한 사실관계를 다시 한번 명확히 확인하였습니다. ⭕️

26👍4😍2

12 Aug 2026, 13:00 UTC≈43,500 views520 reactionsread 3 September 2026

[현재 제 다리는 정상적으로 걸을 수가 없는 상태가 되었습니다.] https://blog.naver.com/briller_research/224376754146

🙏515😁3👍1💯1

5 Aug 2026, 01:45 UTC≈21,400 views91 reactionsread 3 September 2026

드디어 실적이 아무리 잘 나와도 늘 나오던 셀온 패턴이 이번 컨콜을 시점으로 부셔졌네요 ㅎㅎ 에이피알 화이팅!🫶🏻 실적도 매분기 성장하고 컨콜도 매분기 성장하는 성장형 기업입니다!

👍67💯117🙏4😁2

5 Aug 2026, 01:14 UTC≈23,000 views46 reactionsread 3 September 2026

[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

33👍6💯3😁2🙏2

5 Aug 2026, 00:49 UTC≈8,190 views40 reactionsread 3 September 2026
Photo

북미에 이어 유럽도 올해부터 본격적인 성장을 시작하고 있음을 확인가능 참고로 단일국가로는 화장품시장이 미국이 가장 크지만 유럽전체시장은 미국보다 더 큰 시장임

👍27🔥9🙏3😁1

5 Aug 2026, 00:36 UTC≈7,760 views40 reactionsread 3 September 2026

매출은 1Q26대비 29.34%증가 OP는 1Q26대비 25.15%증가 매분기 두자릿수 성장률을 연속적으로 꾸준히 보여주네요.

👍305💯4😁1

5 Aug 2026, 00:32 UTC≈13,100 views22 reactionsread 3 September 2026

[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%

🔥17🙏4😁1

5 Aug 2026, 00:31 UTC≈3,830 views35 reactionsread 3 September 2026
Forwarded from @darthacking

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:

🔥22👍7🙏32😁1

4 Aug 2026, 13:09 UTC≈7,000 views49 reactionsread 3 September 2026

[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

👍3011🙏6😁2

30 Jul 2026, 23:49 UTC≈8,420 views66 reactionsread 3 September 2026

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.

47👍18😁1

30 Jul 2026, 14:34 UTC≈8,480 views78 reactionsread 3 September 2026

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.

👍54🙏128😍3😁1

Showing the 12 most recent of 23 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.

Forward network

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 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.

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.

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

“BRILLER” (@BRILLER_Research), 18,110 subscribers as measured 7 September 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.