Channel
@web3progamer
On this record: Growth · Engagement · What this channel posts · Reactions · Advertising · Posts · Citations · Cite this entry
6,668subscribers
-28 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001586622101 |
|---|---|
| Type | Channel |
| Username | @web3progamer |
| Created | 8 June 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/web3progamer |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 16:16 | 6,668 | -13 |
| 9 Aug 2026, 23:37 | 6,681 | -14 |
| 6 Aug 2026, 13:27 | 6,695 | -1 |
| 6 Aug 2026, 03:30 | 6,696 | no change |
| 6 Aug 2026, 03:23 | 6,696 | first reading |
22 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 10 pagesof 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 20 of 22 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 22 (23 July 2026 – 7 August 2026) |
| Views total | 11,046 |
| Reactions total | 36 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 02:54 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.
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.
32 reactions across 18 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🍌 | 32 | 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 20 of the 22 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 36reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 22 most recent posts we hold, published 23 July 2026 to 7 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.
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 22 most recent posts we hold, published 23 July 2026 to 7 August 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.
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
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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…
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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…
🍌4
Minimax H3으로 일본 데일리룩 숏폼 카피 준비물 1. 댄스 챌린지 depth 맵(음성 포함시킴) 2. 기본 캐릭터 레퍼런스 + 의상 4종(의상만) 3. 캡컷으로 추가 편집 » 사용한 프롬프트는 X 게시글에서
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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
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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
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요즘 또 돌고 있는 Depth로 응용하기 사실 응용이라기보다는 depth를 썼을 때 depth를 레퍼런스로 프롬프트를 살짝 수정해서 구도만 따올 수도 있지요 타율이 아~주 높진 않지만 자연스러운 바리에이션을 원한다면 해봄직한 방법 » 사용 절차는 X에서
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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…
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시댄스2.5 vs 시댄스2.0 비교 일관성 + 소위 말하는 찐빠가 적은 건 2.5 찐빠에서 나오는 의외성은 역시 2.0 단순한 프롬프트 사용에 방점이 찍혀 있다면 2.0을 쓰는 편이 나을 것 같고, 본인이 확실한 작품이나 레퍼런스 툴을 쓸 능력이 있다면 2.5가 좋은 선택일 것 같아요 당장 위의 영상을 보면 멋있는 건 아래일 수 있는데, 아래 영상은 조금 더 '말이 안 되는' 장면이 들어가 있죠? » https://x.com/impalementd/status/2083145900646416753
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프라이빗 AI, 멀어 보이지만 생각보다 가까워진 이슈 사실 AI 플랫폼이나 빅테크가 빅브라더가 된다.. 이런 말 딱히 안 와닿긴 하는데 '네 데이터를 이제 다 학습할거야'라는 논의 자체에는 우리가 경각심을 가질 필요가 있다고 생각해요. 요즘 인스타에서도, 몇몇 영상 제작 툴에서도 비슷한 이슈가 있었는데요. 사용자가 제작하거나 사고한 결과물을 플랫폼이 온전히 공유한다는 것에서 논란이 됐었죠? Venice같은 경우는 프라이빗 AI를 추구하고 있기 때문에 이 논쟁에서 비교적 자유로운 대상이기도 합니다. 현재는 Venice API를 사용해서 클로드나 GPT 등을 사용하되, 데이터가 공유되지는 않는 효과를 누릴 수 있다고 해요. 회사 내에서도 제대로 된 AI를 사용하지 못하는 이슈가 데이터, 보안 관련임을 고려하면 꽤 매력적인…
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일본에서 엄청 유행한 디제잉 프롬프트 특이사항으로는 Grok을 씀. 단어의 나열에 가까운 프롬프트인데 거의 비슷하게 구현되는 게 신기함 ㅡ 프롬프트 변하지 않는 스타일, 완벽한 비주얼 일관성, EDM, 리미티드 애니메이션, 핸드헬드 카메라, 음악을 느끼는, 테크하우스, 파티, 바운스, 흔들리는 카메라, 다이내믹, 바람 부는, 원근 단축(포어쇼트닝), 핸드 댄스, 비언어적, 카메라가 좌우로 흔들림, 불안정한 카메라, 어안 렌즈 카메라가 규칙적으로 위아래·앞뒤로 움직임, 디제잉, 대부분 춤추는 동작, 시미 춤(어깨 흔들기), 두 손이 위로 올라감, 카메라가 앞뒤로 궤도 회전(오빗), 어안 렌즈, 유려하고 우아하게 흐르는 동작, 손가락이 몸의 라인을 따라 훑고 카메라가 그 손을 따라감, 순간적으로 시청자를 향한 제스처, 깜빡이며 떨리는 라인 아…
Hailuo의 새로운 모델 Minimax H3이 공개됨 기존 Hailuo v2.3의 발전형 모델인데, 레퍼런스를 어떻게 주느냐에 따라서 보급형 시댄스 혹은 유사한 효과를 준다고 생각 단순하게 레퍼런스 이미지만 주면 약..? 간 모호한 느낌이 있는데, 레퍼런스 이미지 + 장면의 이미지 까지 생성해서 주면 재현도가 높아지는 편 조금 특이사항이라고 하면 기하학이나 모션 그래픽 효과가 상당히 괜찮게 나옴. 대신 액션보다는 정적인 장면 위주가 나을듯 개인적으로 Text to Video 품질이 굉장히 높게 나와서 어중간하게 만들 바에는 그냥 텍스트로 박는 게 낫지 않나 생각이 들 정도 » https://x.com/impalementd/status/2082828279116132811
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Showing the 12 most recent of 22 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.
Citation-graph rank — 403,016 of 1,169,250entries 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.
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.
Named by 1 registered channel — 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.
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.
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“임팔의 AI야기” (@web3progamer), 6,668 subscribers as measured 12 August 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.