Technology — 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 97% 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.
Growth
26 measurements spanning 91 days, net -342. 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 6,303–6,747 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)
Subscribers
Change
5 Nov 2026, 04:28
6,354
-9
2 Nov 2026, 01:40
6,363
-10
30 Oct 2026, 01:21
6,373
-19
27 Oct 2026, 06:56
6,392
-4
24 Oct 2026, 07:19
6,396
-16
20 Oct 2026, 23:06
6,412
-8
17 Oct 2026, 16:46
6,420
-11
14 Oct 2026, 12:40
6,431
+7
10 Oct 2026, 21:00
6,424
-33
4 Oct 2026, 23:55
6,457
-39
25 Sept 2026, 18:37
6,496
-41
17 Sept 2026, 13:01
6,537
-13
13 Sept 2026, 16:21
6,550
-16
9 Sept 2026, 12:15
6,566
-31
3 Sept 2026, 19:35
6,597
-17
31 Aug 2026, 07:17
6,614
-9
28 Aug 2026, 14:22
6,623
-11
25 Aug 2026, 10:19
6,634
-19
22 Aug 2026, 00:22
6,653
-6
19 Aug 2026, 01:14
6,659
first reading
Engagement
26 posts held, back to 23 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 14 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
10.9%
avg views ÷ 6,354 subscribers
Avg views / post
695
3 posts measured
Reaction rate
1.15%
reactions ÷ views · ER floor
Posts in window
3
of 26 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 2 of 3 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 1 November 2026
Posts held
26 (23 July 2026 – 1 November 2026)
Views total
2,084
Reactions total
19
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
5 Nov 2026, 00:03 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
5m 55s
Average length
22s
Measured directly from 16 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
82 reactions across 21 posts, in 1 kind.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🍌
82
100.0%
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 23 of the 26 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 86 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 26 most recent posts we hold, published 23 July 2026 to 1 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.
Advertising
Ad load
3.85%
1 of 26 posts carry an ad marker
Regulatory tokens
0
none — marked by hashtag only
Median views · ads
497
over 1 measured post
Median views · rest
711
over 25 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Measured over the 26 most recent posts we hold, published 23 July 2026 to 1 November 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Recent posts
Telegram’s own ‘edited’ marker: 2 of 3 posts held from the last 30 days (66.7%) 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).
"그곳이 터져 죽습니다"
- 대화에서 느낀 사견
워낙 저급한 광고도 많았고 단순 바이브코딩으로 뚝딱할 수 있는 사업이라고 생각했지만 시장에서 AI 채팅을 정말, 여러분의 상상 이상으로 먹음직스럽게 바라보고 있다는 것이 느껴짐
심지어 기성 방송국/보도국에서조차 AI 채팅 및 프로세스 도입에 매우 적극적으로 내부 설득이 이뤄지고 있다는 이야기
IP를 확보한 기업일수록 AI 채팅에 대해 매우 매우 개방적이고, 일례로 AI 딸깍에 극단적으로 부정적인 네이버 웹툰이 팍팍 밀고 있는 것이 AI 챗(특히 휴재 중인 작품 굴려먹기 좋다고)
웹툰 업계는 아예 전담 부서까지 따로 차려서 이 분야 광폭 행보를 이어가는 중(떡툰 관련된 곳들도 다 하려 하고 있다고 함)
저작권이나 여러 이슈 때문에 대부분의 에셋은 자체 LoRA나 Comfy를 통…
"요즘 직장인들은 자기계발을 하지 않으려 한다"
- 업계 지인들과의 대화 중 발췌
AI가 거품이다 이런 이야기는 끊이지 않지만 이미 실무 단계에서 모든 면에서 AI가 사용되는 중. 동시에 대체됨에 대한 공포가 만연해 있음
실제로 아스트라 등장 이후 3D 에셋 외주를 진행할 필요성이 사라지며(이전 버전까진 블렌더로는 목각인형 나왔음), 외주 끼던 업체들 싹 다 죽는 중
AI에게 기존의 전문성이 대체되는 일이 늘어나며, 요즘 직장인들은 자기계발에 리소스를 쏟는 대신 '나만의 작은 취미생활'을 찾는 경향이 강해짐(예를 들어 목공 등) - 이건 캐릿 피셜
게임 업계는 여러모로 많이 힘들지만, 게임이 갖고 있는 마켓 파이를 가져오며 대체재로 떠오른 섹터가 AI 채팅 시장. 제작 PD 등에 대한 미디어 업계/엔터 업계 수요가 미쳐 날뛰는 중
먼저 죄송하다는 말씀을 드립니다.
앱스트랙트가 셧다운되었고, 제 채널과 일종의 선동을 듣고 돈과 시간을 소비하신 분에게 다시 한 번 사과드립니다.
저 역시 이렇게 끝이 날 줄은 몰랐으나, 다른 쪽에 화를 돌리거나 제 자신이 피해자라고 말할 생각은 없습니다.
지난 2년 간의 무언가가 부정당하는 것보다, 스스로 쌓은 업보가 많이 부끄러웠습니다. 몇 주간 많은 죄책감을 느꼈고, 그래서 글을 적어 둡니다.
돌아오지 않을 메아리라는 것은 압니다. 그래도 앱스트랙트라는 프로젝트에 쏟았던 노력과 헌신이 언젠가는 다른 방향으로 돌아올 수 있기를 바랍니다.
제가 정말 사랑하고 낭만을 가졌던 2개의 둥지가 모두 어렵게 된 이상, 저는 이 씬에서 더 이상의 발언권이 없을 거라 생각합니다.
다시 한 번, 죄송했습니다.
맥머닝~
우선 아무 말 없이 2달 정도 사라져서 죄송합니다.
입원을 포함해서 좋지 않은 병이나 지출을 좀 겪었고, 아직 해결은 되지 않았답니다. 한순간에 욕구나 흥미라는 감정이 사라져서 아직 돌아오지 않고 있네요. 도라오라에요.
저를 기억해주시는 분들이 계시는 한, 글은 계속 남겨갈 생각입니다. 다만 어떤 콘텐츠를 이야기해야 할지는 고민해보겠습니다. 이것저것 사회초년생이 알아가는 것도 관심이 있다면, 다시 잘 부탁드립니다.
+) 앱스트랙트라도 다시 해보려 했는데, 시장이 뜨겁게 타오를 때 누구보다 차갑게 침묵하고 있는 까닭이 있겠지요. 안타깝습니다.
CineV에서 만들어본 1분짜리 애니메이션 MV
CineV은 AI 애니메이션 제작에 특화된 플랫폼을 지향하는데, 애니 화풍으로 인물, 배경, 소품 등을 저장한다던지 원하는 장면에 쓸 수 있는 기능 등을 제공해 주더라고용~
에셋 불러오기 기능은 정말 좋은데, 배경을 매번 지정해주다보니 일관성 유지 측면에서 삑이 난 게 아쉬운?
» https://x.com/impalementd/status/2085677893951397931
Venice AI에서 제작해본 CCTV 프롬프트
이미지 프롬프트
CCTV footage of a Japanese train station platform. A woman in her 20s stands a safe distance away from the platform edge, naturally waiting for a train while looking at her smartphone. Captured from a high-mounted surveillance camera with an ultra-wide-angle lens, creating slight fisheye distortion. A much wider 16:9 composition that shows the surrounding platform, tracks, station…
롭이어 토끼와 함께 만드는 타코야키
<프롬프트>
[스타일]
실제로 촬영된 영상 그 자체의 질감. 유튜브 홈쿠킹 브이로그의 한 클립처럼 — 일반 미러리스 카메라를 손에 들고 찍은 핸드헬드 실촬영. 자동 노출이 밝기 변화에 살짝 출렁이고, 오토포커스가 가끔 한 박자 늦게 잡히며(짧은 포커스 헌팅), 프레이밍은 조금씩 어긋난 채 손으로 다시 맞춘다. 카메라는 항상 손에 들려 실시간 속도로만 움직인다. 렌즈에 낀 미세한 먼지 플레어, 디지털 센서 특유의 또렷하고 샤프한 질감.
[색·조명]
따뜻한 여름 아침, 큰 창으로 들어오는 자연광 하나가 유일한 광원. 색보정 없는 카메라 그대로의 자연색 — 리얼 화이트밸런스, 창가 하이라이트는 살짝 날아가고(부드러운 클리핑), 그림자는 평범하게 뜬 일상 노출. 토끼 털의 결과 김의 반투명함이 실물 그대로 보이는…
Depth를 활용한 신호등 댄스 with Minimax H3
<제작 방법>
1. 댄스 영상의 Depth를 추출한다
2. 원하는 이미지와 함께 넣어 춤추게 만든다
3. 만들어진 영상을 레퍼런스로 넣어 뒷부분을 이어 만든다
위의 영상은 Depth > 8초 영상 생성 > 이걸로 12초 영상 생성 루트를 탔음. 그 이외의 방법으로는 일관성, 조명 등에서 차이가 발생했기 때문에 오류
» https://x.com/impalementd/status/2084194489145696554
딸깍으로 맡기는 리릭 비디오
제작 방법
1. Suno로 BGM 생성
2. Suno에 적힌 가사 1줄마다 대응하는 GPT 이미지 생성
3. Suno로 만든 BGM을 끊어서 아래 프롬프트로 완성
프롬프트
Morph <img ref> in sequence to match the song in <audio ref> . The characters move cheerfully and naturally, with cute motions. Animate the lyrics as motion text too
» https://x.com/impalementd/status/2083852804079390858 좋댓구알
#프롬프트
사오횽슈 스타일 룩북
이미지 프롬프트, 영상 프롬프트 2개 필요
<이미지 프롬프트>
레퍼런스 이미지 속 여성을 모든 컷에서 완전히 동일한 인물로 사용한다 — 얼굴, 메이크업, 헤어스타일이 모든 패널에서 일치해야 한다. 9:16 세로형 "옷 고르기" 스타일 콜라주를 만든다. 게임 캐릭터 커스터마이징 화면처럼: 화면 오른쪽 2/3을 채우는 대형 중앙 인물 하나와, 다른 의상을 입은 그녀의 작은 컷아웃 썸네일 네 개를 가장자리에 붙인다 — 왼쪽 가장자리에 세로로 세 개, 우상단에 한 개. 중앙 인물은 허벅지 중간 위에서 프레임이 잘리는 로우컷 상반신 샷으로, 머리가 화면 상단 가까이 닿을 만큼 크게 배치되어 압도적인 존재감을 갖는다. 썸네일 네 개도 전신이 아니라 골반 또는 허벅지 초입에서 잘리는 상반신 크롭이며, 각 썸네일은 흰색 점선 테두리…
🍌1
Showing the 12 most recent of 26 posts we hold for @web3progamer. 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.
Gram 🇰🇷 @toncoin_kr · 23,036 Telegram ranks this channel #53 of 88 here — alongside 87 others — read 30 September 2026
DeFi 농부 👨🏻🌾 조선생 @BSC_Farmer_KR · 20,301 Telegram ranks this channel #53 of 88 here — alongside 87 others — read 26 September 2026
에어드랍코리아 (Airdropkorea) @airdrop_kor · 21,342 Telegram ranks this channel #83 of 84 here — alongside 83 others — read 24 September 2026
This channel appears in 3 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 5 November 2026 — this
entry's latest reading, not the date you are reading this.
“임팔의 AI야기” (@web3progamer), 6,354 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/web3progamer.
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.