Telegram RegisterThe public register of Telegram

Channel

꿈을 담는 단지

@dykim0210

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

3,046subscribers

+123 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1003505020736
TypeChannel
Username@dykim0210
CreatedBetween 1 December 2025 and 31 May 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/dykim0210

Growth

2,9233,0462,984.56 August 2026 — 2,923 subscribers6 August 2026 — 2,923 subscribers7 August 2026 — 2,930 subscribers10 August 2026 — 2,995 subscribers13 August 2026 — 3,046 subscribers6 August 202613 August 2026
5 measurements spanning 7 days, net +123. 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 2,905–3,064 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 08:043,046+51
10 Aug 2026, 13:332,995+65
7 Aug 2026, 04:302,930+7
6 Aug 2026, 11:032,923no change
6 Aug 2026, 10:452,923first reading

Engagement

28 posts held, back to 4 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 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
63.4%
avg views ÷ 3,046 subscribers
Avg views / post
1,930
28 posts measured
Reaction rate
0.567%
reactions ÷ views · ER floor
Posts in window
28
of 28 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 14 of 28 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 7 August 2026
Posts held28 (4 August 20267 August 2026)
Views total54,067
Reactions total127
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 16:00 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

127 reactions across 14 posts, in 10 distinct kinds. The most used accounts for 73.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
9373.2%
🔥86.30%
😁64.72%
👍53.94%
🤔53.94%
👌43.15%
❤‍🔥21.57%
🤣21.57%
💯10.787%
😍10.787%

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 14 of the 28 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 127reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 28 most recent posts we hold, published 4 August 2026 to 7 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.

Recent posts

7 Aug 2026, 05:08 UTC≈2,750 views9 reactionsread 7 August 2026
Photo

파마리서치 수출

🔥6👍2💯1

7 Aug 2026, 00:42 UTC≈1,170 viewsread 7 August 2026

https://newsletter.semianalysis.com/p/the-wild-wild-west-of-lego-datacenters

7 Aug 2026, 00:42 UTC≈1,130 views1 reactionsread 7 August 2026

레고 데이터센터의 무법지대(Wild Wild West): 노동력 문제와 구원투수로 등판한 모듈화 오늘날 데이터센터 건설 방식은 과거 업계가 해왔던 방식과 거의 닮지 않았기에, 우리는 오늘 데이터센터 건설의 세계를 깊이 들여다봅니다. 콘크리트 벽은 완제품 패널 형태로 도착하고, 기계 및 전기실은 배선이 완료된 상태로 들어오며, 때로는 데이터 홀 전체가 트럭 짐칸에 실려 오기도 합니다. 세계에서 가장 큰 데이터센터 중 일부는 새로운 스파이더맨 레고 세트를 조립하는 것과 같은 방식으로 점차 조립되고 있습니다. 단지 블록의 무게가 50,000파운드(약 22.6톤)에 달하고 조금 더 복잡할 뿐입니다. 이것이 바로 모듈러 건설의 세계입니다. 하이퍼스케일러부터 코로케이션(Colos), 이제는 AI 연구소에 이르기까지 모듈러 건설은 빠른 구축을 위한 기

1

7 Aug 2026, 00:25 UTC≈1,220 views11 reactionsread 7 August 2026

[지엔씨에너지 컨콜 중 일부] Q. 신규 DC 고객 수주 시 가장 강력한 경쟁우위는? A. 엔진 조달 능력, 설계 역량, 납기 대응력, 대형 프로젝트 레퍼런스, 현장 설치·시운전, 유지보수 조직, 가격 경쟁력 등 종합 평가. 특히 최근 글로벌 엔진 수급 타이트로 납기 대응력이 핵심 경쟁요소로 부각. GNC는 커민스·캐터필라 등 특정사 엔진에 국한되지 않고 대량 공급 가능한 중국 웨이차이 엔진으로도 시스템 구축 가능(레퍼런스 보유) → 타사 대비 우위. 실제로 타사보다 높은 가격으로 입찰하고도 수주한 사례가 있어, 최근에는 가격보다 엔진 조달력·레퍼런스·기술력이 더 중요해진 것으로 판단. Q. 시장 확대 시 신규 경쟁자·대기업 진입 가능성과 MS 유지 여부는? A. DC 비상발전은 쉬운 시장이 아님. GNC는 37년 업력 보유, 대기업이 자

11

6 Aug 2026, 13:41 UTC≈1,180 views4 reactionsread 7 August 2026

올리브베러는 지난 1월 30일 광화문 1호점을 시작으로 4월 강남역 2호점을 연이어 오픈한 데 이어, 올 하반기 명동과 성수 등 서울 주요 핵심 상권을 중심으로 연내 매장을 10개까지 확대할 계획이다. 초기 실적 성장세도 가파르다. 올리브베러는 론칭 직후인 2월 대비 3월 매출은 56%나 뛰었다. 주목할 점은 4월 강남역점 오픈 이후 광화문점과 강남역점 두 곳 모두 외국인 관광객 매출 비중이 50%를 넘어섰다는 점이다. 외국인들이 화장품을 넘어 먹는 이너뷰티와 건강 간식까지 쇼핑 범주를 빠르게 확장하고 있음을 보여주는 지표다. 성형외과와 피부과 등 의료관광 수요가 밀집한 강남역점은 '슬리밍'과 '이너뷰티' 제품군이 매출을 견인하고 있는 것으로 전해진다. 대표적 상품으로는 '푸드올로지'의 슬리밍 제품이나 '락토핏' 유산균 등이 꼽힌다. 여기

4

6 Aug 2026, 13:39 UTC≈1,170 viewsread 7 August 2026

https://www.smedaily.co.kr/news/articleView.html?idxno=361023

6 Aug 2026, 07:41 UTC≈1,320 viewsread 7 August 2026

외국인들 많고 직원분한테 물어보니 꾸준하게 잘 나간다고

Showing the 12 most recent of 28 posts we hold for @dykim0210. 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

Citation-graph rank — 169,674 of 1,350,102entries 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.

Forward network

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.

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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“꿈을 담는 단지” (@dykim0210), 3,046 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/dykim0210.

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.