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Channel

from_random

@from_random

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

175subscribers

-3 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-1002121835673
TypeChannel
Username@from_random
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 live15 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/from_random

Growth

175178176.57 August 2026 — 178 subscribers8 August 2026 — 178 subscribers15 August 2026 — 175 subscribers7 August 202615 August 2026
3 measurements spanning 8 days, net -3. 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 175–178 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 09:52175-3
8 Aug 2026, 13:17178no change
7 Aug 2026, 13:31178first reading

Engagement

10 posts held, back to 2 February 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 10 posts for this entry, the most recent from 17 September 2025. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
1m 17s
Average length
13s

Measured directly from 6 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

101 reactions across 9 posts, in 16 distinct kinds. The most used accounts for 28.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2928.7%
🔥2524.8%
1413.9%
👀98.91%
💘54.95%
👻43.96%
32.97%
💯32.97%
💅21.98%
❤‍🔥10.99%
🌚10.99%
🎃10.99%
👾10.99%
💊10.99%
🥰10.99%
🦄10.99%

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 9 of the 10 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 101reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 10 most recent posts we hold, published 2 February 2025 to 17 September 2025, 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

17 Sept 2025, 15:14 UTC142 views6 reactionsread 8 August 2026
Video

Video, posted without a caption

🔥41❤‍🔥1

Signed Nadya Or

1 Jul 2025, 17:28 UTC270 views28 reactionsread 8 August 2026
Video

Прошел учебный год, как я внезапно стала преподавателем в Гатчинском государственном университете на кафедре дизайна костюма Выпускники 4 курса этого года будут всегда для меня особенными. Первые, как говорится, на всю жизнь🖤 Слепила небольшой шоурил с помощью kling с фрагментами их дипломных коллекций, пусть будут все вместе

14🔥113

Signed Nadya Or

22 Jun 2025, 16:59 UTC232 views12 reactionsread 8 August 2026
Video

Делала коллекцию домашней одежды на конкурс, поняла, что не успеваю и забила Да и тема была не близка Но посмотрела финалистов, и поняла, что шансы были Надо будет доделать, но уже со своим, не конкурсным, стилем

10🌚1👀1

Signed Nadya Or

16 May 2025, 04:54 UTC221 views8 reactionsread 8 August 2026
Photo

Генерации персов, не вошедшие в последнюю работу, но каждая чем-то мне понравилась Разные нейросетки, бленды, но путем всяких манипул сделала то, что надо

6👾1🦄1

Signed Nadya Or

25 Apr 2025, 18:53 UTC211 views11 reactionsread 8 August 2026
Video

Почему я сама не догадалась сделать вязаные брюки?

🔥7💅2👀1💊1

Signed Nadya Or

25 Apr 2025, 17:20 UTC181 views6 reactionsread 8 August 2026
Video

Мальчик мой Генерации Pasha Просто сделал на лекции, а какая милота

4🎃1👻1

Signed Nadya Or

16 Apr 2025, 16:53 UTC201 views11 reactionsread 8 August 2026
Video

В рамках DF lab Паша научил как анимировать в Kling А Борис поделился офигенным треком С меня — два рендера и промпт И очень атмосферно получилось, она даже моргает 🖤

👀4💘4👻3

Signed Nadya Or

8 Apr 2025, 10:50 UTC168 views9 reactionsread 8 August 2026
Forwarded from @alkali_digitalfashionSticker

Sticker, posted without a caption

💯3🔥31👀1🥰1

Signed Nadya Or

8 Apr 2025, 10:50 UTC162 viewsread 8 August 2026
Forwarded from @alkali_digitalfashionSticker

Sticker, posted without a caption

Signed Nadya Or

2 Feb 2025, 09:58 UTC239 views10 reactionsread 8 August 2026
Photo

Радует, что мыслю пока лучше AI (надеюсь) Lookfashion Ai в режиме real time design дал такие результаты. Это когда в прокриейт рисуешь эскиз, ИИ делает его реалистичное изображение параллельно в режиме реального времени. В рилсах выглядит годно, но Макияж вообще мимо, заметила, что хуже рендерит, когда рисуешь более подробный и проработанный эскиз. Начинает путаться. Когда просто кидаешь общую массу и пятна, имее

43👀2💘1

Signed Nadya Or

Showing the 10 most recent of 10 posts we hold for @from_random. 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

Citation-graph rank — 1,326,168 of 1,480,975entries 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

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.

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.

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.

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.

“from_random” (@from_random), 175 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/from_random.

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.