Crypto & trading — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 20 August 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 why it has no browse page of its own yet.
Growth
34 measurements spanning 53 days, net -1,055. 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 49,533–50,904 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)
Subscribers
Change
28 Sept 2026, 10:36
49,691
-202
17 Sept 2026, 17:16
49,893
-42
15 Sept 2026, 18:17
49,935
-23
14 Sept 2026, 00:40
49,958
-31
12 Sept 2026, 04:15
49,989
-43
9 Sept 2026, 19:14
50,032
-85
6 Sept 2026, 12:37
50,117
-52
4 Sept 2026, 02:20
50,169
-20
2 Sept 2026, 18:47
50,189
-30
1 Sept 2026, 19:05
50,219
-31
31 Aug 2026, 17:13
50,250
-39
30 Aug 2026, 17:25
50,289
-20
29 Aug 2026, 16:54
50,309
-26
28 Aug 2026, 14:52
50,335
-17
27 Aug 2026, 12:13
50,352
-17
26 Aug 2026, 10:44
50,369
-15
25 Aug 2026, 12:18
50,384
-21
24 Aug 2026, 12:46
50,405
-50
22 Aug 2026, 23:04
50,455
-28
21 Aug 2026, 12:27
50,483
first reading
Engagement
763 posts held, back to 5 August 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 116 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
4.76%
avg views ÷ 49,691 subscribers
Avg views / post
2,360
435 posts measured
Reaction rate
0.149%
reactions ÷ views · ER floor
Posts in window
435
of 763 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 382 of 435 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 2 October 2026
Posts held
763 (5 August 2026 – 2 October 2026)
Views total
1,028,614
Reactions total
1,367
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
2 Oct 2026, 09:06 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
≈64,000
Videos
≈1,430
Links
≈49,700
Lifetime counters from Telegram’s own channel header, read 2 October 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
3m 10s
Average length
48s
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
2,627 reactions across 665 posts, in 3 distinct kinds. The most used accounts for 94.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
2,489
94.7%
😭
98
3.73%
🫡
40
1.52%
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 687 of the 763 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 2,684 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 763 most recent posts we hold, published 5 August 2026 to 2 October 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
2
across the posts below
Posts paid on
2
of 763 we hold a reading for · 0.3%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @enjoymyhobby. 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 763 most recent posts we hold for this entry, published 5 August 2026 to 2 October 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.
📕 미 SEC, 펀드·투자자문사 암호화폐 수탁 규칙안 제시
✅ 미국 SEC가 등록 투자자문사와 규제 펀드를 위한 암호화폐 수탁 규칙안을 제안했습니다. 제한적인 경우 자문사의 직접 수탁과 주(州) 인가 신탁회사의 수탁을 허용하는 내용입니다.
📂 주요 내용
🟢 허용된 수탁기관이 없다고 판단한 경우에만 자문사가 고객·펀드 자산을 직접 수탁할 수 있으며, 이후 분기마다 해당 판단을 다시 확인
🟢 직접 수탁 시 전문성·사이버보안·내부 보고·계좌명세서·고객 고지 등 별도 보호장치를 요구
🟢 관련 주 당국의 인가와 자산보호 정책을 확인한 신탁회사를 수탁기관으로 활용할 수 있도록 제안
✍ 이런저런 크립토도 규제가 짐에서 득으로 옮겨가는 과정인 것 같습니다. 빨리 모든 쪽에서 오픈되면 좋겠네요.
기사 원문
#SEC #암호화폐규제 #커스터디 #투자자문…
😶 업비트 샌드박스(SAND) 거래 유의 종목 지정 해제 안내
업비트는 샌드박스(SAND)에 대해서 가상자산, 발행주체 또는 운영주체가 관리하는 가상자산 지갑 또는 가상자산이 발행∙전송∙저장되는 분산원장 등에 원인이 밝혀지지 않거나 치유되지 않은 해킹 등 보안사고가 발생한 사실이 있는 경우 등을 고려했을 때 이용자 피해가 발생하였거나 이용자 피해를 발생시킬 가능성이 있다는 점을 확인하였습니다. 이에 업비트는 이용자 보호를 위해 2026년 8월 24일 샌드박스(SAND)를 거래 유의 종목으로 지정하였습니다. 이후 업비트는 샌드박스 측과의 소명 과정을 통해 보안 사고의 경위 및 후속 대응에 대한 자료를 제출받아 검토하였으며, 그 결과 거래 유의 종목 지정 사유가 해소된 것으로 판단하였습니다.
#SAND
📕 NEAR Intents, 380만 달러 해커에 48시간 최후통첩
✅ 크로스체인 교환 프로토콜 NEAR Intents가 380만 달러 규모 보안 사고의 공격자를 특정했다고 밝히고, 자금 반환을 위한 48시간 기한을 제시했습니다. 피해 이용자에게는 전액 보상을 약속했습니다.
📂 주요 내용
🟢 사고 원인은 Omni 입출금 인프라와 NEAR Intents 스마트계약의 상호작용 과정에 있던 버그로 잠정 파악
🟢 팀은 취약점을 수정하고 서비스를 재개했으며 핵심 NEAR 프로토콜과 NEAR 토큰은 영향이 없었다고 설명
🟢 온체인 분석가 ZachXBT는 탈취금이 쿠코인으로 이동한 뒤 비트코인으로 브리지됐다고 추적
✍ 자금 동결은 된거로 아는데, 실제로 피해 복구가 될지가 중요하겠네요.
기사 원문
#NEAR #NEARIntents #디파이해킹 #…
😋 앱체인 다음은 ‘에이전트 체인’ — SOON
“AI 에이전트에게 자기만의 체인을 하나씩 주겠다.”
기존 SOON이 빠른 SVM 인프라에 집중했다면, 이제는 AI 에이전트가 직접 사용할 수 있는 Agent Chain으로 영역을 확장하려는 모습입니다.
📂 주요 내용
🟢SOON + AI
🟢AI 에이전트마다 독립적인 실행 환경과 전용 체인을 만들어주자는 것
🟢애플리케이션에 App Chain이 있었다면, AI 시대에는 Agent Chain이 필요할 수 있다는 이야기
📂 With Phala
🟢Privacy 컴퓨팅의 대부분을 담당하는 Phala 의 주요 투자자가 되어 지분을 확보
🟢Private & Verifiable Compute
🟢SOON이 에이전트가 움직일 수 있는 체인을 제공한다면, Phala는 에이전트의 중요한 모델·데이터·전략을 보호…
☑️암호화폐를 제도권 금융기관이 합법적으로 보관할 수 있는 명확한 규칙
By SEC위원장 폴 앳킨스
⚪핵심 내용 정리
🇺🇸 SEC, 기관의 암호화폐 보관 문을 열기 시작
SEC 위원장 폴 앳킨스가 암호화폐 자산의 수탁(Custody) 규정을 현대화하는 방안을 발표함.
지금까지 애매했던 투자자문사·펀드의 암호화폐 보관 문제를 명확히 하고, 일정 요건을 충족하면 기관의 직접 보관(Self-Custody) 및 적격 신탁회사를 통한 수탁까지 허용하는 방향.
☑️개인적으로 중요한 건 단순한 규제 완화보다 SEC가 기관이 암호화폐를 어떻게 합법적으로 보유할 것인지에 대한 제도적 레일을 만들고 있다는 점이라고 봄
ETF가 기관에게 암호화폐 투자의 문을 열었다면,이번에는 암호화폐 보유·수탁의 문을 정비하는 과정으로 볼 수 있음.
아직 최종 확정…
VVV 베타로 언급되던 대표적인 프로젝트가
3~4개 정도 있었는데.
1. POD
2. FLOCK
3. MOR & OPG
그중 POD는 미친놈처럼 올랐네요.
POD 는 원래 Dolphin 이라는 이름을 가진 프로젝트로,
노스리서치와 함께 A16Z가 지원하는 AI 오픈소스 커뮤니티 프로젝트에요.
언 센서드 AI 모델을 만드는 친구인데,
언센서드 AI 모델이란, 일종의 노모 AI 모델로 가끔 그록이나 챗지피티에 이미지 생성하면 검열당하는게 많은데
기존 모델을 가져와서 검열을 없애서 노모 모델로 만들어주는 그런 친구..
당연히 노모 모델이 필요한 사람들이 있어 Web2에서도 인기가 꽤 있어요
(허깅페이스에서 500만명 정도 다운 받음)
https://huggingface.co/dphn/models?sort=downloads
돌핀이 처음만들…
☹️ Pudgy Penguins x LINE FRIENDS 리미티드 에디션 컬렉션이 공식 출시
✅ 인형, 블라인드 박스, 컬렉터블 등 다양한 제품으로 구성된 이번 컬렉션은 서울, 상하이, 도쿄 LINE FRIENDS 매장과 온라인에서 구매 가능
상품 구경가기
#PENGU
Showing the 12 most recent of 763 posts we hold for @enjoymyhobby. 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.
Republished by 73 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.
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 13 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.
Named by
Channels on the register whose posts name this channel's handle.
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 25 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
Appears in Telegram’s recommendations for other channels
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.
차분남(차트분석하는남자) @chavoonnam · 21,312 Telegram ranks this channel #1 of 80 here — alongside 79 others — read 24 September 2026
크립토퀀트 알람 @cq_alert_kr · 21,870 Telegram ranks this channel #1 of 83 here — alongside 82 others — read 22 September 2026
갓물주 (코인정보, 돈되는거) @godmulzoo · 22,764 Telegram ranks this channel #1 of 81 here — alongside 80 others — read 19 September 2026
새우잡이어선 공지방 @shrimp_notice · 28,748 Telegram ranks this channel #1 of 93 here — alongside 92 others — read 9 September 2026
DeFi 농부 👨🏻🌾 조선생 @BSC_Farmer_KR · 20,670 Telegram ranks this channel #2 of 88 here — alongside 87 others — read 26 September 2026
코인 갤러리(Coin gallery) @dogeland01 · 21,131 Telegram ranks this channel #2 of 85 here — alongside 84 others — read 24 September 2026
변창호 코인사관학교 BCH @BChoSN · 26,369 Telegram ranks this channel #2 of 88 here — alongside 87 others — read 15 September 2026
HS아카데미 대표 이효석 @HS_academy · 36,164 Telegram ranks this channel #2 of 90 here — alongside 89 others — read 8 September 2026
불개미 CRYPTO @fireant_crypto · 32,852 Telegram ranks this channel #2 of 92 here — alongside 91 others — read 4 September 2026
우리는 트윗충 @twitchoong · 74,854 Telegram ranks this channel #2 of 91 here — alongside 90 others — read 25 August 2026
텔레그램 코인 방,채널 - CEN @emperorcoin · 37,091 Telegram ranks this channel #2 of 91 here — alongside 90 others — read 19 August 2026
졸업준비위원회🎓 @officialunivercityofcrypto · 22,979 Telegram ranks this channel #3 of 86 here — alongside 85 others — read 19 September 2026
해달의 투자 정보 공유 @seaotterbtc · 30,155 Telegram ranks this channel #3 of 94 here — alongside 93 others — read 7 September 2026
코인같이투자 정보 에어드랍🦅 @WeCryptoTogether · 48,959 Telegram ranks this channel #4 of 90 here — alongside 89 others — read 25 August 2026
에어드랍ATM @Bounty_ATM · 26,216 Telegram ranks this channel #6 of 79 here — alongside 78 others — read 14 September 2026
폐지줍기 연구소 @airdr0p_lab · 20,589 Telegram ranks this channel #7 of 88 here — alongside 87 others — read 26 September 2026
에어드랍코리아 (Airdropkorea) @airdrop_kor · 21,838 Telegram ranks this channel #7 of 84 here — alongside 83 others — read 24 September 2026
🔥요블이 세상살이🔥 @yobeullyANN · 22,705 Telegram ranks this channel #7 of 85 here — alongside 84 others — read 21 September 2026
잼민123🦅 @mujammin123 · 26,052 Telegram ranks this channel #9 of 86 here — alongside 85 others — read 13 September 2026
마샬 공유방 2.0 @marshallog · 21,701 Telegram ranks this channel #10 of 81 here — alongside 80 others — read 22 September 2026
신기술은 돈이 된다 공지방 @tlsrltnf · 22,804 Telegram ranks this channel #10 of 86 here — alongside 85 others — read 20 September 2026
Gram 🇰🇷 @toncoin_kr · 23,550 Telegram ranks this channel #12 of 88 here — alongside 87 others — read 30 September 2026
30대에 은퇴번복한 머피 @murphybus · 20,099 Telegram ranks this channel #13 of 88 here — alongside 87 others — read 28 September 2026
기분좋은 마곤 @magonia_b · 26,896 Telegram ranks this channel #14 of 88 here — alongside 87 others — read 11 September 2026
This channel appears in 39 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 28 September 2026 — this
entry's latest reading, not the date you are reading this.
“취미생활방📮” (@enjoymyhobby), 49,691 subscribers as measured 28 September 2026. Telegram Register, tgregister.com/channel/enjoymyhobby.
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.