Telegram RegisterThe public register of Telegram

Channel

종명이의 딸깍

@jh_6598

On this record: Growth · Engagement · What this channel posts · Reactions · Advertising · Posts · Posts edited after publishing · Citations · Cite this entry

9,018subscribers

-14 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1002121770704
TypeChannel
Username@jh_6598
Description하기 귀찮은걸 할수있게 해줍니다. 채팅방: https://t.me/chat_jong
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/jh_6598

Growth

9,0129,0329,0226 August 2026 — 9,032 subscribers6 August 2026 — 9,031 subscribers9 August 2026 — 9,012 subscribers12 August 2026 — 9,018 subscribers9,0186 August 202612 August 2026
4 measurements spanning 6 days, net -14. 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 9,009–9,035 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 06:229,018+6
9 Aug 2026, 00:559,012-19
6 Aug 2026, 06:179,031-1
6 Aug 2026, 03:059,032first reading

Engagement

109 posts held, back to 5 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 15 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
6.58%
avg views ÷ 9,018 subscribers
Avg views / post
593
108 posts measured
Reaction rate
0.305%
reactions ÷ views · ER floor
Posts in window
109
of 109 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 40 of 108 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 15 August 2026
Posts held109 (5 August 202615 August 2026)
Views total64,049
Reactions total85
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Aug 2026, 10:51 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
6,010
Videos
64
Links
4,620

Lifetime counters from Telegram’s own channel header, read 15 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.

Video runtime
13s
Average length
13s

Measured directly from 1 video 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

75 reactions across 33 posts, in 8 distinct kinds. The most used accounts for 68.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
5168.0%
👍1013.3%
🙏45.33%
😁34.00%
🔥22.67%
😡22.67%
🤔22.67%
👀11.33%

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 40 of the 109 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 85reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 109 most recent posts we hold, published 5 August 2026 to 15 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.

Advertising

Ad load
0.917%
1 of 109 posts carry an ad marker
Regulatory tokens
0
none — marked by hashtag only
Median views · ads
749
over 1 measured post
Median views · rest
514
over 107 measured posts

An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.

This is a floor, and it can only ever be a floor.A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.

Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.

Measured over the 109 most recent posts we hold, published 5 August 2026 to 15 August 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.

Recent posts

15 Aug 2026, 02:13 UTC314 viewsread 15 August 2026
Forwarded from @dada_news2

[네이버뉴스] [속보] 한미 통상 실무 이끌던 여한구 전격 경질…산업부 비상체계 가동 https://n.news.naver.com/mnews/article/654/0000195404?rc=N&ntype=RANKING&sid=001

15 Aug 2026, 02:13 UTC219 viewsread 15 August 2026
Forwarded from @cybertruck666Photo

광복 81주년, 오늘은 광복절입니다 대한독립만세

14 Aug 2026, 09:56 UTC382 views2 reactionsread 15 August 2026
Forwarded from @teamctrinePhoto

AI에 돈을 쏟아붓는 동안 빅테크의 현금이 말 그대로 증발하고 있습니다. 5대 하이퍼스케일러의 FCF가 2025년 약 1,870억 달러에서 2026년 사실상 0에 가까워지고, 2027년에는 마이너스로 내려갈 수 있다는 전망까지 나옵니다. 주가는 AI 기대감으로 사상 최고치를 향하는데, 정작 기업의 현금창출력은 붕괴하는 역전 현상이 나타나는 겁니다. 이 흐름이 꺾이지 않는다면 결국 AI 투자 → 현금 고갈 → 부채 확대 → 투자 축소 → 실적 악화 → 빅테크 주가 급락으로 이어질 수 있다는 강한 경고 신호입니다.

1👀1

14 Aug 2026, 09:52 UTC241 viewsread 15 August 2026
Forwarded from @Honeyofwhitesocks_2

Entropy 일단 등록만 해놓고 팀한테 물어보니까 다음주 퍼블릭 런칭까지 기다리라는 것 같네요. 실질적으로 지금 거래 해보는게 포인트에 적용은 안 되는 것 같습니다. 담주부터 찬찬히 해보면 될듯?

14 Aug 2026, 09:47 UTC464 viewsread 15 August 2026

오늘 오후 8시에 stable이랑 Mantle 라이브가 있는데, 라이브에서도 상금 추첨을 하고 이후에 후기 이벤트도 하는것 같네요. 퇴근하시구 시간 되시는 분들을 참여하시면 좋을듯? 상금은 아래와 같다고 합니다 • 우수 참여자 10명에게 각 30달러 상당의 MNT • 라이브 후기: 베스트 리뷰어 5명에게 각 30 USDT, 랜덤 추첨 15명에게 각 10 USDT

14 Aug 2026, 06:26 UTC749 viewsread 15 August 2026
AdvertisementPhoto

Creditcoin 빌더 해커톤, 상금 및 Creditcoin 생태계 진입기회 #AD 보통 해커톤은 상금만 보게 되는데, 이번 BUIDL CTC Season 2는 수상 이후 Creditcoin 생태계로 연결되는 구조가 있어서 더 참여할만한 가치가 있는거 같아요. • 총상금: $15,000 (1등 $10,000, 2등 $3,000, 3등: $2,000) + CTC Ignition 2026과 연계된 기회 확보 상위 3팀은 CEIP(Creditcoin Ecosystem Investment Program)의 초기 심사를 건너뛰고 바로 실사 단계로 가는 패스트트랙 대상이 됩니다. 투자가 100% 보장되는 건 아니지만, 단발성 상금 행사로 끝나지 않고 Creditcoin 생태계로 진입하고 프로젝트를 계속 키워나갈 다음 경로가 준비되어 있다는 점이

13 Aug 2026, 07:05 UTC522 views3 reactionsread 15 August 2026

Nbis랑 별개로 Cbrs는 하회나오면서 하락했기에 어떤점이 다른지 에이전트한테 물어봤어요 NBIS와 CBRS, 같은 AI 클라우드인데 왜 실적은 다를까? 한 줄로 말하면: - NBIS: 검증된 NVIDIA GPU 용량을 빌려주는 네오클라우드 - CBRS: 자체 칩을 채택시키면서 추론 클라우드까지 키우는 칩+클라우드 플랫폼 NBIS는 고객이 이미 쓰고 있는 NVIDIA 생태계에 용량만 추가하면 돼. 전력 확보 → GPU 설치 → 고객 인도 → 매출 이번 분기에는 매출 성장뿐 아니라 높은 마진과 고객 선급금까지 확인됐어. 고객이 데이터센터 투자비 일부를 먼저 부담하면서 NBIS의 증설 리스크까지 낮춰주는 구조임. 반면 Cerebras는 고객이 새로운 아키텍처를 채택해야 해. CUDA와의 호환성, 실제 추론비 절감, 운영 안정성까

3

13 Aug 2026, 06:39 UTC206 viewsread 15 August 2026
Forwarded from @fireantrade

솔직히 말해서 업비트랑 빗썸이 마지막 한국의 협상력이었음. 근데 업비트랑 빗썸이 할수있는게 한국에서는 너무 제한적임. 할수있는거? 하루에 한번씩 상장하면서 상장거래량 만드는거.... 그니까 미친듯이 상장하는데 역설적으로 모두에게 열린시장은 협상력을 잃게 됨. 한국의 코인시장은 어디로가야하는가? 업비트가 코인베이스처럼 큰형님의 역할을 해줘야 하는데.... 빗썸이 로빈후드처럼 자체 생태계 구축 시도를 할 수 있을까? 1. 우리나라는 이해충돌 어쩌고 법 때문에 투자한 코인을 상장 못함. 2. 투자시장에서 업비트나 두나무, 빗썸의 투자를 받으면 오히려 좋은 거래소에 상장을 못하는 오히려 투자를 받으면 장애물이 되어버림. 3. 그러다보니 생태계 투자 순환도 안됨. 4. 유저들 유동성 플레이말고 할 수 있는게 없음. 5. 근데 유저들 유동성플레이

13 Aug 2026, 05:53 UTC622 views2 reactionsread 15 August 2026

오늘 저녁쯤에 한번 일괄적으로 티어 업데이트 해달라고 할건데, 가입하고 하루 지나서 티어 변경없으면 저한테 디엠주세요! 인원수 상관없이 받을수 있게 해보겟습니다~

2

13 Aug 2026, 00:05 UTC≈2,130 views1 reactionsread 15 August 2026
Photo

실제로 hip3 배포를 위해서 엔트로피에게 50만 하이프를 지원한건 HYPERION DEFI라는 하이퍼리퀴드 DAT 전문 나스닥 상장사네요. 하이페리온은 2분기에서 순이익이 전년도 대비 약 250% 증가해서 사상 최대 실적 달성. 하잎 토큰 상승이 큰 역할. https://m.datatooza.com/article/202608130504562066cd1e7a6e3a_80

🤔1

12 Aug 2026, 15:30 UTC461 views5 reactionsread 15 August 2026
Forwarded from @Web3LearningWithInger

전 Entropy 파밍 크게 해볼 예정. Arcus엔 베어리쉬한게 Dydx 팀이 로빈후드에 반 인수되고 지들 토큰 입 싹닫고 유기한게 Arcus 유저라고 혜택 크게 줄 생각이 있을지 의문. 또한, Dydx를 꽤 썼던 입장에서 그거 그대로 가져온게 Arcus라 1세대 perp에서 개선된 모습이 없다보니 사실상 배그 나왔는데 계속 서든하는거임. 따라서, 장기 비전도 회의적. 엔트로피도 하다가 쓰레기면 드랍할건데 일단 지금 와꾸는 나오는것 같아요. = TradeXYZ 경쟁자 & RWA Perp 좋은 흐름 + 앞으로도 좋을 예정 + 경력 괜찮은 팀? & 근본 백커. 시기상 Extended & Variational TGE 타이밍도 겹치고 또프덱스긴 한데 또 파밍할거 나오고 유망주 등장할 시기.

4👍1

12 Aug 2026, 15:19 UTC≈2,330 views7 reactionsread 15 August 2026

Entropy Market CPO와 텍스트로 몇 가지 질문을 주고받았습니다. 전체 팀은 10명 안팎. 창업진과 팀원들은 Polymarket, Kalshi, Ribbit Capital, Jane Street, HRT 등에서 트레이딩·market structure·consumer growth를 경험했다고 합니다. 또한, 리빗캐피탈 리드의 시드 투자가 진행되었다는 이야기를 들었습니다. 이들이 만들려는 건 Pre-IPO, 글로벌 주식·지수, Federal Funds 같은 시장을 온체인에서 24시간 거래할 수 있게 만드는 것. 기존 RWA perp의 문제를 단순히 “유동성이 부족하다”가 아니라 oracle·mark price·funding·시장 설계가 약하다는 쪽으로 보고 있었습니다. 초기 유저와 실제 트레이더에 대한 보상 방향도 언급하기도 했

6👍1

Showing the 12 most recent of 109 posts we hold for @jh_6598. 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.

Posts edited after publishing

@jh_6598 edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
15 August 2026
Most recent edit
15 August 2026

Citation-graph rank

Citation-graph rank — 31,706 of 1,480,688entries 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

Republished by

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

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silverwave 가이드
@silverwaveguide · 758
1 post
스내치의 스웨덱스
@snatch0x · 863
1 post
채저시급 김으악ㅠ
@Ugh_HH · 10,190
1 post
돈포하 I Dont focus on hype
@Web3LearningWithInger · 4,229
1 post

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 14 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.

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

“종명이의 딸깍” (@jh_6598), 9,018 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/jh_6598.

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.