📣 $FUEL ca: 0x6547911e5b8f3cfa9e6bca37ddde3009e83faa2d - 금일 300% 상승하며 신고가 달성. - 지난 글을 확인하면 더욱 좋을듯합니다 - 첫 게시 이후 약 7~8배 상승 https://t.me/PredictFiKOR/794 #DYOR

Channel
코인시티 x MEMECITY
@GAORI777
On this record: Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry
11,989subscribers
-1,783 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 | -1001413627899 |
|---|---|
| Type | Channel |
| Username | @GAORI777 |
| Created | 1 April 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 5 September 2026 |
| Measurements held | 28 |
| Confirmed unchanged | 1 time, most recently 5 September 2026 |
| On Telegram | t.me/GAORI777 |
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 5 Sept 2026, 05:16 | 11,989 | -24 |
| 3 Sept 2026, 13:17 | 12,013 | -89 |
| 2 Sept 2026, 07:27 | 12,102 | -47 |
| 1 Sept 2026, 07:46 | 12,149 | -51 |
| 31 Aug 2026, 04:35 | 12,200 | -33 |
| 30 Aug 2026, 07:16 | 12,233 | -80 |
| 29 Aug 2026, 04:25 | 12,313 | -145 |
| 28 Aug 2026, 02:16 | 12,458 | -32 |
| 27 Aug 2026, 00:57 | 12,490 | -33 |
| 26 Aug 2026, 01:25 | 12,523 | -37 |
| 25 Aug 2026, 01:15 | 12,560 | -79 |
| 23 Aug 2026, 16:57 | 12,639 | -68 |
| 22 Aug 2026, 00:58 | 12,707 | -116 |
| 20 Aug 2026, 15:44 | 12,823 | -47 |
| 19 Aug 2026, 16:46 | 12,870 | -14 |
| 18 Aug 2026, 17:48 | 12,884 | -67 |
| 17 Aug 2026, 14:14 | 12,951 | -157 |
| 16 Aug 2026, 05:26 | 13,108 | -135 |
| 14 Aug 2026, 14:48 | 13,243 | -113 |
| 13 Aug 2026, 06:33 | 13,356 | first reading |
Engagement
65 posts held, back to 26 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 49 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.88%
- avg views ÷ 11,989 subscribers
- Avg views / post
- 106
- 45 posts measured
- Reaction rate
- 1.24%
- reactions ÷ views · ER floor
- Posts in window
- 45
- of 65 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 42 of 45 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 2 September 2026 |
|---|---|
| Posts held | 65 (26 July 2026 – 2 September 2026) |
| Views total | 4,748 |
| Reactions total | 56 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 2 Sept 2026, 22:54 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
- 12s
- Average length
- 12s
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
340 reactions across 62 posts, in 3 distinct kinds. The most used accounts for 43.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 148 | 43.5% | |
| 🔥 | 102 | 30.0% | |
| 👍 | 90 | 26.5% |
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 62 of the 65 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 340 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 65 most recent posts we hold, published 26 July 2026 to 2 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
- 43
- across the posts below
- Posts paid on
- 28
- of 65 we hold a reading for · 43%
- Most on one post
- 4
- single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @GAORI777. 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 65 most recent posts we hold for this entry, published 26 July 2026 to 2 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
📣클러스터 프로토콜(Cluster Protocol) 및 $CP 토큰 🎤$CP는 중앙화된 대기업에 의존하지 않고 자유롭게 AI 모델을 호출하거나 GPU 연산 자원을 대여하고 데이터셋을 거래할 수 있도록 지원하는 분산형 AI 인프라 프로젝트의 핵심 유틸리티 토큰입니다. 🎤신규 주요 거래소 상장 정보 * Coinbase: 상장 링크 * OKX: 상장 링크 🎤$CP 상장 기념 커뮤니티 이벤트 * 이벤트 기간: 2026.09.02 ~ 09.17 * 이벤트 보상: 커피 100잔 (랜덤 추첨) * 상세 공지: 이벤트 공지 확인하기 참여 방법 🎤이벤트 주요링크 * Cluster Korea 공식 공지방: 입장 * Cluster Korea 커뮤니티 채팅방: 입장 * Cluster Korea 공식 Twitter: 팔로우 * Cluster 프로젝트 공식 Tw…
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[로빈후드 CEO "밈코인 보유자에 주식 토큰 에어드롭 구상"] 로빈후드(HOOD) CEO 블라드 테네프(Vlad Tenev)가 해외 팟캐스트 디 아이스드 커피 아워(The Iced Coffee Hour)에 출연해 로빈후드체인 개발자들이 밈코인과 주요 암호화폐, 주식 토큰을 결합한 금융 상품을 개발하고 있다고 밝혔다. 진서차이징에 따르면 그는 "밈코인을 보유하면 주식 토큰을 에어드롭으로 받을 수 있는 상품도 설계하고 있다"고 설명했다. 📣ave.ai 로빈후드 거래하러 가기: LINK #코인니스
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📣Robinhood Chain Long 계열 밈코인 급등, BONER +500% #DYOR Robinhood Chain의 토큰 발행 플랫폼 Long.xyz에서 발행된 주식 페어 밈코인들이 일제히 급등하고 있습니다. $BONER → +500% / 약 $59.77M / HIMS 페어 $MOO → +346% / 약 $13.89M / MU 페어 $SAYLORMOON → +70.53% / 약 $3.88M / MSTR 페어 $AI → +68.74% / 약 $159M / NVDA 페어 https://ave.ai/token/0x98096d17e191b3da1d5f99a6d7b3584351b11e18-robinhood 📣ave.ai 엠버서더 출처: LINK
❤1
📣$PONS 계약 거래쌍이 상장되었습니다. 🎤ethereum: 0x07f5b6823751c2e2cd4560f28af75ff887102241 🎤Pons는 Robinhood Chain의 선두 Launchpad로, 상장 후 약 1개월 만에 거래량이 28.5억 달러를 초과했으며, Launchpad의 일일 거래량 점유율은 최고 63%를 넘었습니다. 🎤Pons 플랫폼의 토큰으로서 $PONS는 플랫폼 거래 및 프로토콜 수익과 밀접하게 연계되어 있습니다. 현재 프로토콜의 80% 수수료 수익은 ethereum: 0x07f5b6823751c2e2cd4560f28af75ff887102241의 매입 소각에 사용되며, 누적 소각량은 약 2.9억 개로 초기 공급량의 29%를 차지합니다. 🎤현재 ethereum: 0x07f5b6823751c2e2cd4560f28…
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📣poolfun에서 밀어주는 $TEST 관련링크 - https://x.com/yoerichofficial/status/2094065394143408466?s=46 - https://x.com/pools_dot_fun/status/2092333929500205153?s=20 CA: 0x07499f3c1b7beedd4e4c635e44983bad4e7ad736 - 해외 KOL들이 좋은소식이 있을거라는 게시글을 지속적으로 쉴링하며 점점 핫해지는중입니다 - AVE.AI에서 내부자 지갑, KOL, 스마트머니, 저격 등 모든 온체인과 x를 한눈에 확인할수 있습니다. 📣Ave.ai 거래하러가기 : LINK #DYOR
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📣#牛来 가 방금 Binance Futures에 상장되었고, 시가총액 1억 달러를 돌파했습니다. 다음 보석은 무엇일까요? AVE와 함께 일찍 찾아보세요. Ave.ai는 AI추적을 통해 신호를 전달하고, 문화적 간극을 메우며, 시장을 형성하는 내러티브에 대한 더 깊은 통찰을 제공합니다. 📣일찍 유지하세요. AVE와 함께하세요.
❤1
Ave.ai에 집중할거임 ㄹㅇ ave.ai 괜히쓰는게 아님. Perp중에 가장 든든함. 왜? 아직 토큰도 없음. 꼭 한국어로 설정해서 앱으로 쓰셈.
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📣밈 코인에서 토큰화된 주식까지: 온체인 트레이딩이 새로운 시대에 진입하는 이유 보러가기 📣AVE.AI에서 온체인 데이터 참고하기
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📣2026년 알트코인 시장의 변화: 밈 코인, 하이퍼리퀴드(Hyperliquid), 인공지능(AI), 그리고 온체인 트레이딩의 부상 2026년의 암호화폐 시장은 단 하나의 내러티브만으로는 설명하기 점차 어려워지고 있습니다. 밈 코인은 여전히 투기적 자본을 끌어모으고 있으며, 하이퍼리퀴드는 탈중앙화 무기한 선물 거래(Perpetuals)를 더욱 주류 시장으로 밀어 올리고 있습니다. 인공지능(AI)은 토큰 발굴 및 론칭 인프라 영역으로 진입하고 있고, 로빈후드 체인(Robinhood Chain) 같은 새로운 생태계는 암호화폐 자산, 토큰화된 주식, 그리고 디파이(DeFi) 사이의 경계를 흐리기 시작했습니다. 트레이더들에게 이러한 변화가 중요한 이유는, 다음 투자 기회가 단순히 다음에 급등할 토큰을 찾는 것만으로는 오지 않기 때문입니다. 진…
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📣FRIEND, Friend.tech 인수 추진 소식에 10배 급등 - #machibigbrother 가 Friend.tech를 $1M에 인수해 CTO 방식으로 재출시하는 방안을 제안했습니다. - 이 소식 이후 $FRIEND는 약 $300K → $6M까지 급등 - AVE.AI는 신호를 통해 미리 급등전 어떤 일이 있을지 유추할수 있습니다. - 엠버서더 출처 : https://x.com/Pchild_NFT/status/2092842510683181469 📣ave.ai 온체인 도구 사용하기
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ㄹㅇ ave.ai 괜히쓰는게 아님. Perp중에 가장 든든함. 왜? 아직 토큰도 없음
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Showing the 12 most recent of 65 posts we hold for @GAORI777. 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
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.
Mentions
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 5 September 2026 — this entry's latest reading, not the date you are reading this.
“코인시티 x MEMECITY” (@GAORI777), 11,989 subscribers as measured 5 September 2026. Telegram Register, tgregister.com/channel/GAORI777.
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.