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Channel

Anvil Frame School

@anvilframe_events

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

1,031subscribers

+4 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001488619033
TypeChannel
Username@anvilframe_events
CreatedBetween 1 April 2019 and 30 September 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live11 October 2026
Measurements held11
Confirmed unchanged1 time, most recently 11 October 2026
On Telegramt.me/anvilframe_events

Topic

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 19 September 2026 and assigned it the closest of 31 fixed categories, at 84% 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

1,0241,0311,027.57 August 2026 — 1,027 subscribers8 August 2026 — 1,027 subscribers8 August 2026 — 1,026 subscribers11 August 2026 — 1,025 subscribers14 August 2026 — 1,024 subscribers24 August 2026 — 1,027 subscribers8 September 2026 — 1,029 subscribers13 September 2026 — 1,027 subscribers16 September 2026 — 1,029 subscribers25 September 2026 — 1,030 subscribers11 October 2026 — 1,031 subscribers7 August 202611 October 2026
11 measurements spanning 65 days, net +4. 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 1,023–1,032 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Oct 2026, 10:381,031+1
25 Sept 2026, 19:161,030+1
16 Sept 2026, 22:171,029+2
13 Sept 2026, 00:561,027-2
8 Sept 2026, 17:551,029+2
24 Aug 2026, 21:131,027+3
14 Aug 2026, 19:451,024-1
11 Aug 2026, 02:351,025-1
8 Aug 2026, 11:301,026-1
8 Aug 2026, 00:311,027no change
7 Aug 2026, 14:471,027first reading

Engagement

4 posts held, back to 2 April 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 1 page of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 4 posts for this entry, the most recent from 5 May 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
2m 12s
Average length
2m 12s

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

105 reactions across 4 posts, in 7 distinct kinds. The most used accounts for 75.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥7975.2%
❤1110.5%
👀76.67%
👍43.81%
🥰21.90%
✍10.952%
👏10.952%

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 4 of the 4 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 105 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 4 most recent posts we hold, published 2 April 2026 to 5 May 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.

Recent posts

5 May 2026, 09:37 UTC599 views14 reactionsread 8 August 2026

С опозданием, но наконец-то наткнулся на полноценный разговор с режиссером рекламы Coinbase Commercial которую снимали для церемонии премии Оскар. В выпуске говорят о том как снимали, как подходили к идее и почему вообще для реализации решили брать по минимуму графония, хоть, разумеется, без композа и допила не обошлось. Не все рабочие материалы видел раньше, довольно интересно посмотреть, но главное - послушать само…

🔥9❤5

Signed Ilya Nodia

27 Apr 2026, 10:09 UTC893 views44 reactionsread 8 August 2026
Photo

Нодия решил проверить, насколько сейчас нейронки пригодны для анимации и улучшения сцен из Unreal Engine. Вдохновился документалкой про одиночество в Японии и одновременно у Big Medium Small вышел очень крутой пак Chiba City, такой японский Sci-Fi мегаполис с отличными персонажами. Собрав всё в кучу сделал набор атмосферных шотов, помиксовав кадры разного уровня сложности, чтобы подошло под технический тест - клоуз…

🔥32👀7❤5

Signed Ilya Nodia

24 Apr 2026, 10:00 UTC613 views25 reactionsread 8 August 2026
Photo

Что Fahrenheit взяла из кино и что дала игровой индустрии На связи Нодия! Fahrenheit - обожаемая мною старая игра, на которую сегодня, конечно, очень больно смотреть, но именно она одной из первых стала по-настоящему кинематографичным и революционным интерактивом, используя множество киношных трюков. Один из самых известных известных и очевидных - это мульти-экран. По сути это операторский монтаж в реальном времен…

🔥17👍4🥰2❤1👏1

Signed Ilya Nodia

2 Apr 2026, 10:02 UTC653 views22 reactionsread 8 August 2026
Photo

Правда что картинка из фильмов 90х и нулевых более "жирная"? На связи Нодия и сегодня мы снова перетрём за старые фильмы. Ну согласитесь же, выглядят покруче современных. "Плёнка" там и всё такое. Не? Ладно, разумеется вы понимаете, что дело тут не только в плёнке и технике. В «Бойцовском клубе» оператор Джефф Кроненвет и режиссёр Дэвид Финчер сознательно разделяли светом два мира. У Тайлера - экстремально тёмные к…

🔥21✍1

Signed Ilya Nodia

Showing the 4 most recent of 4 posts we hold for @anvilframe_events. 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.

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 11 October 2026 — this entry's latest reading, not the date you are reading this.

“Anvil Frame School” (@anvilframe_events), 1,031 subscribers as measured 11 October 2026. Telegram Register, tgregister.com/channel/anvilframe_events.

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.