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Channel

MYU's Research (AI & WEB3)

@myu_moonyu

On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry

7,362subscribers

-8 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001769285820
TypeChannel
Username@myu_moonyu
Created18 October 2021measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live15 August 2026
Measurements held6
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/myu_moonyu

Growth

7,3617,3717,3666 August 2026 — 7,370 subscribers6 August 2026 — 7,370 subscribers6 August 2026 — 7,371 subscribers9 August 2026 — 7,363 subscribers11 August 2026 — 7,361 subscribers15 August 2026 — 7,362 subscribers7,3626 August 202615 August 2026
6 measurements spanning 9 days, net -8. 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 7,360–7,373 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 01:477,362+1
11 Aug 2026, 16:547,361-2
9 Aug 2026, 02:517,363-8
6 Aug 2026, 08:117,371+1
6 Aug 2026, 03:077,370no change
6 Aug 2026, 02:037,370first reading

Engagement

32 posts held, back to 30 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 11 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
12.6%
avg views ÷ 7,362 subscribers
Avg views / post
930
32 posts measured
Reaction rate
0.26%
reactions ÷ views · ER floor
Posts in window
32
of 32 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 28 of 32 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 12 August 2026
Posts held32 (30 July 202612 August 2026)
Views total29,759
Reactions total71
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 17:35 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
10s
Average length
10s

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

66 reactions across 25 posts, in 3 distinct kinds. The most used accounts for 92.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
6192.4%
🔥34.55%
👍23.03%

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 28 of the 32 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 71reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 32 most recent posts we hold, published 30 July 2026 to 12 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.

Telegram Stars

Stars received
1
across the posts below
Posts paid on
1
of 32 we hold a reading for · 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 @myu_moonyu. 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 32 most recent posts we hold for this entry, published 30 July 2026 to 12 August 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

12 Aug 2026, 08:54 UTC288 views1 reactionsread 12 August 2026

16만 AI크리에이터 아카이빙 자료 https://promwat-archive.onrender.com/

1

12 Aug 2026, 05:34 UTC307 viewsread 12 August 2026

깊은 고민끝에 문유님을 고소하기로 결정했습니다

12 Aug 2026, 04:17 UTC728 views1 reactionsread 12 August 2026

오타쿠에 대한 정의 https://youtube.com/shorts/V-di8SEM8nU?si=YK_ok1EoKaKWI_uu 엇박론ㅋㅋㅋㅋㅋㅋ개웃김 @매실

🔥1

11 Aug 2026, 20:16 UTC234 views3 reactionsread 12 August 2026
Forwarded from @Thoughts_BFox

https://t.me/Bot_BFox 온동네 공시와 실적과 기타등등을 다 긁어오는 봇 (매우 미완성) 아직 개선을 1달은 더해야할거같은데, 국내공시는 꽤나 잘 나오긴 하거든요..? 해외쪽 공시를 계속 최적화 해보고 있습니다. 알림 켜두면 하루에 수백개씩 가니까 ㅎㅎ.. 제 트레이딩 터미널 서버랑 같은 서버라서 오만게 다갈거에요. 올려놔야 더 열심히 만들거같아가지고ㅋㅋ;

3

11 Aug 2026, 10:03 UTC340 views6 reactionsread 12 August 2026

AI를 쓰면 쓸수록 언어능력이 떨어지는 것 같다. 원래는 "a에 이런 문제가 있으니, 00 사례처럼 b를 접목시켜보면 어떨까?" 이런 식으로 말을 걸었는데, 요즘은 "a찐빠낫는뎅 b먹여봐" 로 끝난다. 어차피 AI가 알아서 캐치하니까. 문제는 이게 반복되니까 어두 어미가 점점 뭉개지는 것. "그거 그렇게 해줘", "모르겠다 니가 알아서 해줘!" 이런 말투가 입에 붙고, 사람 상대로 얘기할 때도 어휘능력이 ai에게 하는 것처럼 말하게 된다.심지어 말하다 보면 나도 내가 뭘 말하려는지 길을 잃어버리기도 한다. 독해력도 마찬가지, 압축된 말을 압축된 대로 알아듣는 데 익숙해지고, ai보고 그냥 알아서 해줘! 가 반복되다보니 긴 문장이나 복잡한 문맥은 점점 귀찮아진다.

6

8 Aug 2026, 14:45 UTC≈2,100 views2 reactionsread 12 August 2026
Photo

카이토는 이 때가 딱 고점이었네요. X랑 뭐 한다했을 때부터 설거지 느낌 났는데 바로 무반등 하락해버리기

2

8 Aug 2026, 10:58 UTC400 views6 reactionsread 12 August 2026
Video

연태여행 끄적임 귀뚜라미를 키우는 라이브펍이 기억에 남음. 옆에 앉은 25살 남자애랑 친해져서 이런저런 얘기를 나눴는데, 1. 일본은 과거 중국을 침략했지만 입 싹 닫고 뻔뻔하게 나오는 게 싫다. 2. 대만, 홍콩에 대해 물어보니 중국의 자치구? 성? 중 하나일 뿐이고, 그들은 금방 우리 중국에 안정될 것이다(?)라는 식으로 얘기함. 이 대목에서 상당히 뿌듯한 느낌으로 중국이 짱이다라는 중화사상을 강하게 보였음. 3. “미국이 가만두지 않을 텐데?”라고 하니 일본을 상당히 견제하는 성향을 보임. 미국은 그러려니 하는데, 일혐이 상당한지 일본이 자꾸 귀찮게 군다~라는 식으로 대화가 기승전 일본 싫어였음. 4. “한국은 어떻게 생각해?” 갑자기 폰을 꺼내더니 韩어쩌구 어플을 켜서 보여줌. 온갖 한국 넷플, 숏폼, 예능 등이 우르르 나오더

6

6 Aug 2026, 16:11 UTC419 views4 reactionsread 12 August 2026
Forwarded from @airdr0p_labPhoto

🟢 Kaito, Kalshi 온보딩 -첫 번째 캠페인: 온보딩한 트레이더 1명당 $150 절대 한국사용자는 하면 안돼

4

6 Aug 2026, 08:45 UTC502 views5 reactionsread 12 August 2026
Photo

연태 좀 다녀올게요 8일에 오겠음.

5

Showing the 12 most recent of 32 posts we hold for @myu_moonyu. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Citation-graph rank

Citation-graph rank — 66,449 of 1,481,502entries 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.

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 3 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.

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 15 August 2026 — this entry's latest reading, not the date you are reading this.

“MYU's Research (AI & WEB3)” (@myu_moonyu), 7,362 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/myu_moonyu.

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.