🧙🏿♂️ [AMA] Ritual과 중요한(?) 타이밍에 인사하기 X 어나운스 공지 일시 및 장소: 8월 5일 오후 10시 코인같이투자 트위터 한때 가장 기대되는 커뮤니티 작으로 타커뮤니티에 소개되기던 했던, AI 인프라 체인 Ritual과 AMA를 가집니다. 기억하는 정보로는 폴리체인 출신이 직접 나와 프로젝트를 빌딩했던 것으로 이름을 날렸고, 당시에 폴리체인, 모나드 파운더, 아나그램, 핵VC, 로봇 벤처스, 다오5 등으로부터 약 $30M을 모금한 이력도 있습니다. 현재 테스트넷 페이즈1이 끝난 상태에서 과연 어떤 이야기를 할게 있어서 방문했는지 알아보시죠. 또한 PloPlo 홀더로써 리추얼 메인넷도 당연히 중요한 일정이라 확인해봅시다요! 1️⃣ 사전 이벤트 : 해당 트위터 게시글 Like + RT (필수) : 게시글에 사전질문…

Channel
클레어의 코인 다락방
@claireroom
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
1,136subscribers
-2 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1002542892842 |
|---|---|
| Type | Channel |
| Username | @claireroom |
| Created | Between 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 2 times, most recently 14 August 2026 |
| On Telegram | t.me/claireroom |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Aug 2026, 11:31 | 1,136 | -2 |
| 7 Aug 2026, 23:48 | 1,138 | no change |
| 7 Aug 2026, 16:01 | 1,138 | first reading |
Engagement
17 posts held, back to 4 June 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 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.73%
- avg views ÷ 1,136 subscribers
- Avg views / post
- 31.0
- 1 post measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 1
- of 17 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.
| Window | Rolling 30 days · latest post in window 4 August 2026 |
|---|---|
| Posts held | 17 (4 June 2026 – 4 August 2026) |
| Views total | 31 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 23:48 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
- Video runtime
- 2m 20s
- Average length
- 35s
Measured directly from 4 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
13 reactions across 5 posts, in 2 distinct kinds. The most used accounts for 61.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 😱 | 8 | 61.5% | |
| ❤ | 5 | 38.5% |
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 5 of the 17 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 13reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 4 June 2026 to 4 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
⚙️ [AMA] PloPlo와 함께 FilipFlop(Feat.ET-Friends-001 NFT WL) - 일시: 7월 14일 오후 9시 - 장소: 코인같이투자 트위터 - 게스트: PloPlo , Ritual의 시그니처 AI 컴패니언 PloPlo Brief 정보 보러가기 앞서 말했듯이 재시동을 건 Ritual의 시그니처 프로젝트인 PloPlo와 함께 다음주 화요일 AMA를 진행합니다! 한국 커뮤니티에 이를 통해 한국 커뮤니티에 NFT를 배포할 수 있게 되었는데요. 아직 Ritual 생태계에서 어떠한 역할을 하게 될지 명확히 밝혀진 바가 없지만, 많은 분들이 받아가 첫 기회를 잡을 수 있으면 좋겠습니다! 🗂 AMA 사전 이벤트 : AMA 공지 게시물 Like RT (필수) : 트위터 AMA 게시물 댓글에 사전질문 입력(선택) : 네…
Ritual 생태계 PloPlo 관련 소식 정리 얼마 전 Ritual Korea에서 PloPlo 공식 AMA가 진행됐는데, 이제 본격적으로 초기 참여자 캠페인이 참여가능합니다. PloPlo는 Ritual 생태계 쪽에서 나오는 AI companion / onchain identity 프로젝트에 가까움. 단순 NFT 라기보다는 AI companion → 온체인 ID → NFT 소유권→ 향후 physical device → Ritual 인프라 연결을 통해 Identity Key 역할을 하는 것이 목표. 현재 참여할 만한 건 크게 두 가지 정도가 있는데요. 1. PloPlo Quest 오픈 (퀘스트 참여) - Early Supporters 대상 퀘스트가 열렸고, 완료하면 mystery rewards를 준다고 합니다. - 팔로우, 리포스트 등의…
❤1
can i get a gm? @bakbar8519
[ 지난 3개월간 독학으로 고군분투하며 배운 AI 활용법과 제 노하우를 공유드립니다. A4 16장 분량입니다 ] AI 씬에는 저보다 훨씬 실력 있는 분들, 엄청난 분들이 정말 많습니다. 다만 비개발자 출신 대표로서 좌충우돌하며 독학으로 배우고 써온 경험이라, 오히려 저랑 비슷한 처지의 누군가에게는 도움이 될 것 같습니다. 특히 Part.4에 "AI 공부하기"가 있는데요. AI를 어떻게 공부하면 좋을지에 대한 "나름의 정수"가 담겨있습니다. HS, Ann님이랑 아침마다 한시간씩 일찍 출근해서 AI 스터디를 진행했는데, 그 자료를 어떻게 매일 만들 수 있었는지를 스킬로 공유드렸습니다. 참고하실 수 있도록 실제 자료도 하나 넣어두었습니다ㅎㅎ Transformer 논문을 시작으로 제가 좋아하는 AI 관련 논문 8개를 연도와 흐름에 따라서 정리해…
🅘 검열된 메세지입니다
😱8
리츄얼 파우셋 코드로 리츄얼 받고 에이전트 디플로이하면 genesis nft 클레임이 가능합니다. 총 20개 받아와서 저는 1개 사용했고, 나머지 19개 딱 2시간 정도만 받고 뿌려볼게요. 구글폼 작성 (https://forms.gle/vwcksKhR9xtEUYgs9) 조건은 종명이의 딸깍 채널 입장 여부 및 리츄얼 채널 입장만 확인할게요. genesis nft 발급 시도하는법 1. 코드를 이용해서 파우셋을 받는다. https://faucet.ritualfoundation.org/ 2. docs 보고 체인 추가 https://docs.ritualfoundation.org/#quickstart 3. 클로드 코워커나 openai 코덱스 이용해서 깃헙대로 에이전트 디플로이 해달라고 한다. https://github.com/zunmax/ri…
❤1
최애파트 01:55 ~ 바작! 쥬와악! 소오스! 울컥울컥! 스르르르륵~ 04:17 ~ 천박하게 허흐흡업허흐업!
❤1
File, posted without a caption
용산 북천 돈까스 대부분의 사람들이 얇은 튀김옷, 얇게 저며진 고기, 바삭한 식감과 잘어우러지는 데미그라스 소스의 조합을 생각하며 경양식을 찾잖아요? 그러나 경양식만큼이나 일본식 카츠도 좋아하는 저로써는 카츠의 부드러움과 쥬시함, 입안의 꽉차는 부피감도 포기할수가 없습니다. 돈까스가 땡길때 경양식과 일식 카츠 둘 중 하나를 고르는 것은 매우 괴로운 일인거죠. 그러나 오늘 소개할 북천 돈까스는 경양식과 일식 카츠의 장점들을 잘 융합시켜 내놓는데 성공하여 제 고민을 한번에 해결해준 업장입니다. 이 집의 시그니처 메뉴인 브라운 돈까스를 주문하면 김이 펄펄 나고있는 돈까스가 서빙됩니다. 우선 이 비주얼부터가 경양식 카츠와 달리 굉장히 야만적인데, 비교적 얇은 튀김옷이 육중한 등심을 가까스로 붙잡고 버텨내고 있는 듯한 모습이 아찔하기까…
초미녀는 공유하기... AI 재질 미녀 토리짱
🅾️ 스타차일드 에이전트로 업비트 스킬 써보기 챌린지 이제 스타차일드 에이전트에서 업비트 전용 스킬을 다운로드해, 나의 포트폴리오를 분석하거나 다양한 기능을 활용해 볼 수 있습니다. 내일 업비트에서 진행될 오덜리 퀴즈 미션과 더불어, 오덜리에서 자체 캠페인을 준비했습니다! ✏️ 참여 방법 1. 오덜리 공지방과 커뮤니티방 모두 입장하기 2. Starchild AI 에이전트 로그인 후 업비트 스킬 다운로드해서 사용해보기 (ex, '업비트 스킬로 뭐 할 수 있어?', '업비트에서 내 포트폴리오 분석해줘') 3. 트위터에 스타차일드 사용 후기 자유롭게 남기기, 업비트 스킬 사용 후기가 아니어도 OK! 자유롭게 사용 후기 남기기 ! (해당 트윗 인용 or 리트윗 필수) 4. 구글폼 작성 (7월 4일 토요일 자정 마감) 🎁 리워드 🟣 커피 …
Showing the 12 most recent of 17 posts we hold for @claireroom. 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 — 1,034,031 of 1,345,403entries 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.
Republishes
Channels on the register whose posts this channel has forwarded.
@jh_6598 · 9,0182 posts미세이린 가이드
@misaylinguide · 572 postsRitual Korea 공지
@RitualKorea · 1,7602 posts코인같이투자 정보 에어드랍🦅
@WeCryptoTogether · 49,7992 postsAI MASTERS
@ai_masters_community · 13,7301 postAI, 비개발자의 AI 스터디(멍멍AI🐶)
@ai_together_korea · 4391 post피린이
@forevernft · 12,2301 postOrderly Korea 공지방
@OrderlyNetwork_kr · 1,7181 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 1 registered channel — 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.
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 11 August 2026 — this entry's latest reading, not the date you are reading this.
“클레어의 코인 다락방” (@claireroom), 1,136 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/claireroom.
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.