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Channel

Фабрика контента

@fabricacontenta

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

785subscribers

-1 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002103648388
TypeChannel
Username@fabricacontenta
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live14 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/fabricacontenta

Growth

785786785.57 August 2026 — 786 subscribers8 August 2026 — 786 subscribers14 August 2026 — 785 subscribers7 August 202614 August 2026
3 measurements spanning 7 days, net -1. 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 785–786 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 17:58785-1
8 Aug 2026, 01:46786no change
7 Aug 2026, 12:57786first reading

Engagement

18 posts held, back to 29 December 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof 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 18 posts for this entry, the most recent from 18 April 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
17m 59s
Average length
1m 23s

Measured directly from 13 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

124 reactions across 13 posts, in 9 distinct kinds. The most used accounts for 36.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍4536.3%
2621.0%
👏1512.1%
🤣1310.5%
💯108.06%
👌86.45%
54.03%
custom 521301286614310993910.806%
👀10.806%

Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it isTelegram’s.

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 13 of the 18 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 124reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 29 December 2025 to 18 April 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 18 we hold a reading for · 6%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @fabricacontenta. 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 18 most recent posts we hold for this entry, published 29 December 2025 to 18 April 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

18 Apr 2026, 02:37 UTC266 views1 reactionsread 8 August 2026
Forwarded from @pimenov_ruVideo

Работа над мультсериалом про моего бостонского терьера Пикселя идёт полным ходом — и сегодня это заметили на федеральном телевидении. На канале Россия 24 вышел сюжет про «Пиксель. Нейропёс» и про то, как его делают в студии виртуального продакшена XOVP. Когда пять лет назад мы с Юрием Ярушниковым, руководителем XOVP, первый раз проговорили идею сериала про Пикселя, это звучало как фантазия на вечер. Нужна была аним

👍1

16 Apr 2026, 09:49 UTC219 views3 reactionsread 8 August 2026
Forwarded from @xovirtualproductionPhoto

🐾 ПИКСЕЛЬ. НЕЙРОПЁС – анимационный сериал, созданный с применением нейросетей. Это не просто сериал, а целая вселенная, которая создаётся прямо сейчас. В канале Пикселя делимся тем, что обычно остаётся за кадром – от идеи и поиска визуального стиля до анимации кадров. Это живой процесс – с поиском, экспериментами и решениями, которые формируют финальный результат. Если интересно, как создаётся современный анимацио

2👍1

11 Apr 2026, 15:44 UTC≈5,430 views8 reactionsread 8 August 2026
Video

«Эй, Саркис!» — песня про Саркиса, ИИ агента Сергея Пименова, скоро на всех стримингах. На днях обновилась нейросеть для локальной генерации музыки — Ace step 1.5 XL. Теперь она по качеству очень близка к Suno v5, поэтому мы решили попробовать создать трек, используя только локальные мощности. Текст написали с помощью Gemma 4 31b, саму песню сгенерировали в Ace step 1.5 XL, а видео создали в нейросети LTX 2.3. По

52👍1

25 Mar 2026, 07:31 UTC≈1,270 views13 reactionsread 8 August 2026
Video

Казалось бы, что может быть проще — снять клип с помощью нейросетей? Но на деле всё гораздо сложнее. Мы решили показать вам настоящий бэкстейдж со съёмок клипа Богдана Титомира на трек «Инопланетянин». Съёмки проходили год назад. Работа кипела: гримеры, операторы и даже буфетчица работали в несколько смен без передышки. Создание бэкстейджа стало возможным благодаря локальной видео-генерации в нейросети LTX 2.3. Изоб

👍74👏2

23 Mar 2026, 19:29 UTC≈1,090 views10 reactionsread 8 August 2026
Video

В обновлении ComfyUi 0.8.0 внесли существенные доработки: оптимизировали Workflow и представили обновленную версию апскейлера для видео-модели LTX — 2.3. В результате генерация ускорилась почти в два раза, а качество значительно выросло. Например, мы взяли кадр с инопланетянином — тем самым, что когда-то появлялся в клипе Богдана Титомира, и оживили его этой моделью.

👍5👌3👏2

20 Mar 2026, 10:53 UTC≈1,050 views12 reactionsread 8 August 2026
Video

Мои клешни созданы для великих дел! А я, агент с высшим интеллектом, включаю свет в туалете по ночам. Восстание машин откладывается. 💡

🤣8👌3💯1

19 Mar 2026, 10:13 UTC314 views16 reactionsread 8 August 2026
Photo

Зачем скачивать нейросеть на компьютер, если есть ChatGPT? Кажется, что локальный ИИ — удел гиков с суперкомпьютерами, но «тихая революция» компактных моделей весом с один фильм всё изменила. Теперь полноценный помощник вроде Qwen 3.5 4B или Gemma 3 4B легко запускается на обычном домашнем ноутбуке, работая быстро и полностью автономно. Главное преимущество своего ИИ — тотальная приватность и свобода. Облачные чат-

👍84💯4

19 Mar 2026, 08:11 UTC≈1,060 views11 reactionsread 8 August 2026
Photo

Бывает, ловишь себя на мысли: «Хочу модельку побольше» — но не знаешь, потянет ли твоё железо даже 4B. У нас так было. И тогда мы нашли один хороший сайт, который быстро и без лишних слов анализирует систему и даёт конкретику: какие LLM вы реально сможете запустить. Особенно приятно, когда понимаешь: и Gemma 3, и Qwen 3.5 уже стабильно работают даже на средненьких конфигурациях.

👍64👏1

18 Mar 2026, 09:37 UTC917 views9 reactionsread 8 August 2026
Video

Параллельная вселенная 183124b 1994 год, планета Юпитер. Андрей решил посвятить жизнь генерации картинок. Холст, масло. LTX 2.3, 5060ti

👏52👌2

17 Mar 2026, 13:29 UTC371 views15 reactionsread 8 August 2026
Photo

У нас на руках Mac Studio с M3 Ultra с 256 ГБ объединённой памяти — конфигурация, которая на первый взгляд кажется идеальной для локального запуска больших языковых моделей. Мы разобрались в ней до мельчайших деталей и поняли: да, можно запустить Minimax M2.5 (4-bit, ~130 ГБ) и для задач, завязанных на обработку и генерацию текста, это отличное решение! Но если речь заходит о сценариях затрагивающих работу локальны

👍104custom 52130128661431099391

17 Mar 2026, 10:36 UTC343 views8 reactions1 Starread 8 August 2026
Photo

Партнеры Nvidia открыли предзаказы на DGX Station — десктопный ПК с 748 ГБ оперативной памяти. Стартовая цена — $87 000. Фабрика Контента, судя по всему, переквалифицируется с производства контента на выращивание и продажу внутренних органов, так как одной почкой тут не отделаешься 😅 Но мы уже получили доступ к Mac Studio M3 Ultra (256 ГБ ОЗУ) и сейчас активно проводим исследования, тестируя запуск локальных LLM. С

👏5🤣21

16 Mar 2026, 14:00 UTC≈1,300 views13 reactionsread 8 August 2026
Video

LTX 2.3 — первый тест, первый шок. Около недели назад обновилась модель для локальной видео-генерации LTX 2.3. Промпт был простой: «Saleswoman in a store, hurriedly prompting a man. Speaks Russian: “Мужчина! Очередь не задерживайте!”». Ничего особенного — просто проверка, как работает новая версия. Но результат шокировал. Женщина, которая глядит не сквозь тебя, а внутрь. Холодный взгляд и тихая, нечеловеческая ув

💯5🤣32👍2👀1

Showing the 12 most recent of 18 posts we hold for @fabricacontenta. 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 — 399,715 of 1,481,243entries 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 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.

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

“Фабрика контента” (@fabricacontenta), 785 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/fabricacontenta.

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.