슬롭캐쉬 1분남았네용 https://app.umia.finance/p/slop-cash/auction
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Channel
@honeymouse1003
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry
11,586subscribers
-533 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001554974037 |
|---|---|
| Type | Channel |
| Username | @honeymouse1003 |
| Description | NFT,IDO,MetaVerse 해외 및 국내 코인정보의 모든 것 누구보다 빠르게 올려드리겠습니다. “이건 제 개인 의견일 뿐, 투자 판단은 본인 책임입니다이라는것 꼭 명심해주세요!!” 문의 : @rndkqkd13 (꿀쥐) : @slowstudyclub (마이너피) 꿀쥐채널 official link https://linktr.ee/honeyrat |
| Created | 6 January 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 7 August 2026 |
| Last confirmed live | 7 November 2026 |
| Measurements held | 58 |
| Confirmed unchanged | 1 time, most recently 7 November 2026 |
| On Telegram | t.me/honeymouse1003 |
Crypto & trading — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 11 September 2026 and assigned it the closest of 31 fixed categories, at 99% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Nov 2026, 00:36 | 11,586 | -9 |
| 5 Nov 2026, 22:16 | 11,595 | -1 |
| 4 Nov 2026, 22:30 | 11,596 | -3 |
| 3 Nov 2026, 19:50 | 11,599 | -6 |
| 2 Nov 2026, 18:24 | 11,605 | -2 |
| 1 Nov 2026, 19:18 | 11,607 | -4 |
| 31 Oct 2026, 19:56 | 11,611 | -7 |
| 30 Oct 2026, 18:17 | 11,618 | -6 |
| 29 Oct 2026, 16:15 | 11,624 | -9 |
| 28 Oct 2026, 14:06 | 11,633 | -8 |
| 27 Oct 2026, 15:46 | 11,641 | -6 |
| 26 Oct 2026, 14:38 | 11,647 | -3 |
| 25 Oct 2026, 14:16 | 11,650 | +3 |
| 24 Oct 2026, 15:55 | 11,647 | -12 |
| 23 Oct 2026, 13:49 | 11,659 | -3 |
| 22 Oct 2026, 11:58 | 11,662 | -16 |
| 21 Oct 2026, 03:35 | 11,678 | -7 |
| 19 Oct 2026, 22:28 | 11,685 | -8 |
| 18 Oct 2026, 21:40 | 11,693 | -1 |
| 17 Oct 2026, 22:37 | 11,694 | first reading |
71 posts held, back to 29 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 56 pages of Telegram’s post history, 20 posts per page.
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 19 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 5 November 2026 |
|---|---|
| Posts held | 71 (29 July 2026 – 5 November 2026) |
| Views total | 15,388 |
| Reactions total | 33 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Nov 2026, 08:08 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.
Lifetime counters from Telegram’s own channel header, read 7 November 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.
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.
101 reactions across 49 posts, in 5 distinct kinds. The most used accounts for 86.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 87 | 86.1% | |
| 👍 | 9 | 8.91% | |
| 🔥 | 3 | 2.97% | |
| 🍓 | 1 | 0.99% | |
| 🤪 | 1 | 0.99% |
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 50 of the 71 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 101 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 71 most recent posts we hold, published 29 July 2026 to 5 November 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’s own ‘edited’ marker: 8 of 19 posts held from the last 30 days (42.1%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
슬롭캐쉬 1분남았네용 https://app.umia.finance/p/slop-cash/auction
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KAST는 토큰도 안 내고 유저를 기망하는 반면, TRIA는 꾸준히 플랫폼 업데이트가 이뤄지고 있고, 실사용 면에서는 CEX 카드를 빼면 가장 사용성이 좋다고 생각합니다. CEX 카드도 좋긴 하지만 어느 정도 예치 장벽이 있고, 이더파이(EtherFi)도 좋지만 이것저것 다 따져서 계산해 보면 TRIA가 훨씬 낫습니다. 지난번 포켓몬 가챠가 나왔을 때 얼리 액세스 승인을 받아서 전체 랭킹 4위를 하긴 했는데, 그때 확률이 너무 별로여서 한마디 했더니 이번에는 좀 더 개선해서 출시했다고 합니다. 곧 다시 카드깡을 해볼 건데, 이번엔 좋은 게 나오겠죠? 이번에는 퍼블릭 오픈이라 누구나 참여할 수 있습니다. 지금은 트리아 월렛으로 참여하면 1% 캐시백을 받을 수 있고, 트리아 카드도 곧 오픈할 예정인데 그렇게 되면 6% 캐시백으로 가챠를 할…
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📢 같은 AI 모델인데 왜 성능이 이렇게 갈릴까? 미라 네트워크가 스털링을 내놓은 이유 🧠 같은 모델, 다른 결과? • 같은 AI 모델을 쓰더라도 어떤 제공업체를 통하느냐에 따라 실제 체감 성능이 크게 달라질 수 있습니다. • gpt-oss-120b 벤치마크를 보면, 동일한 모델을 서비스하는 업체들 사이에서 점수가 36.7%부터 93.3%까지 벌어진 사례가 나왔습니다. • 더 큰 문제는 이런 차이를 사용자가 쉽게 알아차리기 어렵다는 점입니다. 모델 이름은 같아도 실제 실행 환경과 성능은 제각각일 수 있기 때문이죠. 🔥 미라 네트워크의 해답, 스털링 • 미라 네트워크는 이 문제를 해결하기 위해 새로운 AI 추론 서비스 ‘스털링(Sterling)’을 출시했습니다. 제공업체를 직접 검증하고, 검증을 통과한 업체를 통해서만 추론 서비스를 제…
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이번 비트코인 급락이 마지막 탑승 기회같은데 롱물량이 미친듯이 쌓이네요 제대로 롱 스퀴징 나오면 진짜 강승부 볼만할듯 누군가 롱을 잡고 우는소리 계속 나오면 그 롱보다 훨씬더 밑에 가격에 잡아야할듯 꿀쥐가 롱잡은가격 밑에서 잡으면 딱맞을듯 ;
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😕아... 에드 적격 심사 탈락했네요ㅠㅠ https://m-feed.bithumb.com/notice/1655458 요기로 가셔서 적격 심사 한번씩 돌려보세요!!
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아스타 정배열 야무진데 언제갈꺼니 ?
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비상비상 프레딕펀 프리 벨류 1.4b ㅋㅋ 근데 더 비상비상 예전에 작업했던 지갑 뭔지 다찾아봐야함 .. 포멧했음 ;; 바낸링크
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펍덱 + 야핑 = 망
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스탠드X 5천불 수수료 나간 지갑 https://standx.com/airdrop 어이가 없네
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Umia 에서 느좋 런치패드 하네요 Slop Cash AI가 코드를 너무 많이 쏟아내서 오픈소스 유지보수자들이 지쳐가는 문제를 해결하려고 만든 “실제 병합된 코드에만 돈 주는” 오픈소스 펀딩 시스템입니다. 토큰 $SLOP는 이 시스템의 재무를 관리하는 역할만 합니다. 쉽게말해 기존 방식 (문제되는 방식) “숙제를 제출한 사람 전부에게 용돈 준다” → AI로 아무거나 대충 만들어서 제출만 해도 돈을 받음. → 유지보수자가 쓰레기 숙제를 수백 개 검토해야 해서 지침. Slop Cash 방식 “숙제를 제출해도, 선생님이 실제로 채점해서 받아준 숙제에만 용돈 준다.” → 제출만으로는 돈 안 줌. → 그 프로젝트 담당자가 “이거 괜찮네” 하고 병합(merge) 해줘야 점수와 돈이 들어옴. CTO 가 shaw긴 하네요 Shaw Walters…
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StandX 에어드랍 체커 뜸 https://standx.com/airdrop TGE 안하고 스테이블로 분배
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하루 늦게 했는데도 이득이네 ;; 역대급 돈복사 이벤트였따 ;; 늦게라도 계속 양빵잡으면서 녹일껄 ;; 첫날 만불 녹인 잼민형은 3~4배정도 수익본듯 역대급 혜자 이벤트 트윗글 ㄷㄷ paper 주소
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Showing the 12 most recent of 71 posts we hold for @honeymouse1003. 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.
@honeymouse1003 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.
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.
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.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 18 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 November 2026 — this entry's latest reading, not the date you are reading this.
“크립토 꿀쥐🐭” (@honeymouse1003), 11,586 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/honeymouse1003.
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.