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 12 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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
12 measurements spanning 31 days, net -93. 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 8,195–8,316 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
7 Sept 2026, 09:14
8,209
-15
3 Sept 2026, 00:15
8,224
-17
31 Aug 2026, 08:13
8,241
-10
28 Aug 2026, 03:04
8,251
-7
24 Aug 2026, 18:13
8,258
-7
21 Aug 2026, 05:04
8,265
-7
17 Aug 2026, 21:34
8,272
-15
14 Aug 2026, 20:45
8,287
+1
11 Aug 2026, 14:12
8,286
-14
8 Aug 2026, 06:14
8,300
-2
7 Aug 2026, 12:16
8,302
no change
7 Aug 2026, 12:09
8,302
first reading
Engagement
42 posts held, back to 31 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 20 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
3.72%
avg views ÷ 8,209 subscribers
Avg views / post
305
19 posts measured
Reaction rate
0.591%
reactions ÷ views · ER floor
Posts in window
19
of 42 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 18 of 19 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 28 August 2026
Posts held
42 (31 July 2026 – 28 August 2026)
Views total
5,802
Reactions total
32
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
28 Aug 2026, 18:10 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
49s
Average length
16s
Measured directly from 3 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
60 reactions across 36 posts, in 4 distinct kinds. The most used accounts for 93.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
56
93.3%
👍
2
3.33%
👏
1
1.67%
🥰
1
1.67%
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 36 of the 42 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 60 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 42 most recent posts we hold, published 31 July 2026 to 28 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.
베이스에서 밈다운 밈이 터졌어요.
1. 뷰티 크리에이터가 Vaseline을 “Baseline”처럼 발음한 영상이 대박 남.
2. 그 발음 자체가 밈이 돼서 틱톡·인스타에서 전세계적으로 퍼짐.
3. Vaseline 공식 계정도 밈에 탑승해서 “Baseline” 드립을 침.
4. 이 상황에 베이스 관련자들이 쌀먹하기 시작
더 자세한 설명은
https://t.me/cybertruck666/14012?single
싸트님글 보시면 될거같고.
핵심은 순수한 네러티브 밈이 나왔다는거 같습니다.
지금까지 베이스는 코비, 제시 등. 각종 인물들이 "개씹억지스러운" 쉴링을 해서 겨우 토큰 올려준게 전부이거든요.
그래서 자체적인. 본인들만의 순수한 밈이 없었는데 이번에 터진거에요.
베이스에서 감이 있다면 확실하게 밀어줄거라고 생각합니다. 본인들이 …
ENA 피스위치 활성화 프로포절
- USDe 유통량 $7.5B 돌파 시 ENA 바이백 시작
- USDe 성장에 따라 바이백 비율 5% → 최대 25% 확대
- Ethena 프로토콜 수익을 ENA 가치 환원으로 연결하는 구조
https://gov.ethenafoundation.com/t/ena-fee-switch-activation/830
🍿 저스틴썬이 올린 유명 여배우 장톈과 5천만 달러
저스틴썬이 유명 여배우와 사귀면서 느낀점을 공개적으로 X에 업로드했는데요
원문을 중국어로 겁나 길게 적어놔서 지피티한테 요약을 부탁했습니다.
1. 화자(저스틴썬)는 2007년 대학생 시절부터 징톈을 동경했다.
QQ에서 본 흐릿한 광고 사진을 저장하고,
학교 SNS에서 친구 신청까지 했지만 거절당했다.
이후 부자가 된 뒤에도 그 사진을 계속 가지고 다닌다.
2. 19년 후 엄청난 부자가 된 화자는 실제로 징톈과 만나 연인이 된다.
그녀가 원하는 것은 무엇이든 해준다.
영화관 전체를 빌리고,
호텔 한 층을 통째로 비우고,
전용기를 띄우고,
여행지 전체에서 사실상 그녀만 존재하도록 만든다.
3. 징톈은 자신 때문에 세상이 비워지는 것을 좋아하는 사람처럼 묘사된다.
사람이 없는 호텔,
아무…
스트릿님 뷰 정리
1. 비트코인 롱은 좋은 타점 안줄가능성이 높다
2. 만약 타점주면 오히려 타면 안된다.
3. 비트 타점잡는건 이미 터지는순간 끝났다
4. 좋은 타점은 없다 끝났다.
5. 하락장 끝이냐 vs 큰 반등장이냐 -> 판단 못한다 아직. 그런 영역 아니다.
6. 진짜 상승장인지 볼거면 신고잠 깨는거까지 봐야하는거다
7. 하락장 내 첫번째 의미있는 양봉이 뜬것도 맞다
8. 직전고점 82k 넘어가는 움직임 기대한다
9. 원래는 고점 넘기고 다시 떨어지는게 정배라고 생각했는데
10. 지금 양봉 터지는게 쉽지않은 움직임이 될거같다.
11. 상승장 가더라도 순탄하지 않을것같다
12. 저번 상승장 리테스트 구간은 나름 명확하게 변곡을 줬다
13. 이번엔 노빠꾸 리테스트 없이 쳐올렸다
14. 근데 이번에 그런 리테스트 나오면 너무 내리는거라.…
퍼시피카는 정말 100M 따리일까?🤨
혹자는 퍼시피카의 폴리마켓 FDV 예측을 보고
“퍼시피카의 시장 기대치가 고작 $50~100M인가?”
"에이 거래량이 작아서 의미가 없다"
라고 생각할 수도 있는데,
저는 그렇게 생각하지 않습니다.
해당 토픽은 2026년 12월 31일까지 TGE가 이루어지지 않으면 해당 FDV 구간이 모두 NO로 처리되는 구조라서
TGE 시점에 대한 확률까지 FDV 가격에 함께 반영되어 있습니다.
따라서 현재 보이는 FDV만으로 퍼시피카의 밸류에이션을 판단하기는 어렵습니다.
호가 괴리가 커서 수학적으로 정확하지는 않지만,
굳이 따지자면 'Will Pacifica launch a token by ___' 의 NO 값으로 나눠야 하지 않을까 싶네요.
그렇다면 현재 보이는 FDV의 대충 4~5배가 되지 않을까 싶습니다…
밈코인을 한다면 꼭 알아야할 Flap 소개
❓ Flap이란?
- YZi Labs 투자를 받은 유일한 밈코 런패
그렇다보니 Flap을 통해 출시된 여러 밈코인들이 바낸 알파에도 상장되고 있습니다.
최근에 $Marscoin, $牛来가 바낸알파에 상장되며 정말 많은 이슈가 되었습니다.
저또한 Flap에서 $Marscoin을 여러번 매매를 했던터라 최근에 관심을 많이 두고 또 많이 이용하고 있습니다.
특히나 최근 밈코인의 메타가 stock meme이 되며 flap이 stock meme을 빠르게 지원해주며 더 큰 하잎과 관심을 받고 있다생각합니다.
😺 Flap 주요 기능들
- Stock Dividends
-Buyback & Burn
- Programmable Vaults
- 다양한 고급 토큰 메커니즘
특히나 최근 앞에서도 말씀드렸지만 sto…
속보) 트럼프 하이퍼리퀴드 언급
마이크(CFTC 의장)가 하이퍼리퀴드를 합법적인 방식으로 미국에 들여오기 위해 노력하고 있는 것으로 알고 있다
그는 그걸 위해 매우 열심히 일하고 있습니다
트럼프 입에서 하리가 나올 줄이야… 펍덱의 시대는 온다..!
하리, 라이터 등 풀반등 중
Pacifica 활성 사용자 5만명 뭐임?ㄷㄷ
https://x.com/pacifica_fi/status/2090041997411148086?s=20
❤1
Showing the 12 most recent of 42 posts we hold for @heedan22. 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.
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.
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.
불개미 CRYPTO @fireant_crypto · 33,062 Telegram ranks this channel #35 of 92 here — alongside 91 others — read 4 September 2026
JackToken Announcements @jacktokencom · 428,736 Telegram ranks this channel #38 of 65 here — alongside 64 others — read 8 September 2026
코인같이투자 정보 에어드랍🦅 @WeCryptoTogether · 49,258 Telegram ranks this channel #40 of 90 here — alongside 89 others — read 25 August 2026
기분좋은 마곤 @magonia_b · 27,073 Telegram ranks this channel #44 of 88 here — alongside 87 others — read 11 September 2026
$RWAINC Announcements @RWA_Inc_Announcements · 41,206 Telegram ranks this channel #62 of 87 here — alongside 86 others — read 29 August 2026
Units.Network Announcements @unitsnews · 742,979 Telegram ranks this channel #65 of 85 here — alongside 84 others — read 15 August 2026
텔레그램 코인 방,채널 - CEN @emperorcoin · 37,920 Telegram ranks this channel #77 of 91 here — alongside 90 others — read 19 August 2026
취미생활방📮 @enjoymyhobby · 50,032 Telegram ranks this channel #89 of 92 here — alongside 91 others — read 25 August 2026
This channel appears in 8 seed channels' Telegram-generated recommendation lists in total. 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 7 September 2026 — this
entry's latest reading, not the date you are reading this.
“희단이의 Web3 꿀정보 공지방” (@heedan22), 8,209 subscribers as measured 7 September 2026. Telegram Register, tgregister.com/channel/heedan22.
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.
