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Channel

Градиент обреченный

@doomgrad

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Polls · Citations · Telegram's recommendations · Cite this entry

8,840subscribers

+158 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001556862154
TypeChannel
Username@doomgrad
Descriptionlingtrain.ru habr.com/ru/users/averkij/ hfday.ru
Created25 February 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live9 November 2026
Measurements held25
Confirmed unchanged1 time, most recently 9 November 2026
On Telegramt.me/doomgrad

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 11 September 2026 and assigned it the closest of 31 fixed categories, at 94% 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

8,6818,8588,769.56 August 2026 — 8,682 subscribers6 August 2026 — 8,682 subscribers7 August 2026 — 8,681 subscribers10 August 2026 — 8,697 subscribers13 August 2026 — 8,702 subscribers16 August 2026 — 8,708 subscribers19 August 2026 — 8,709 subscribers22 August 2026 — 8,715 subscribers25 August 2026 — 8,720 subscribers28 August 2026 — 8,724 subscribers4 September 2026 — 8,733 subscribers10 September 2026 — 8,781 subscribers14 September 2026 — 8,789 subscribers18 September 2026 — 8,800 subscribers28 September 2026 — 8,799 subscribers5 October 2026 — 8,794 subscribers12 October 2026 — 8,823 subscribers15 October 2026 — 8,827 subscribers21 October 2026 — 8,831 subscribers24 October 2026 — 8,835 subscribers27 October 2026 — 8,858 subscribers31 October 2026 — 8,854 subscribers3 November 2026 — 8,847 subscribers6 November 2026 — 8,845 subscribers9 November 2026 — 8,840 subscribers8,8406 August 20269 November 2026
25 measurements spanning 95 days, net +158. 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 8,654–8,885 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)SubscribersChange
9 Nov 2026, 12:468,840-5
6 Nov 2026, 01:098,845-2
3 Nov 2026, 02:448,847-7
31 Oct 2026, 01:498,854-4
27 Oct 2026, 17:258,858+23
24 Oct 2026, 14:158,835+4
21 Oct 2026, 23:558,831+4
15 Oct 2026, 06:478,827+4
12 Oct 2026, 15:078,823+29
5 Oct 2026, 20:378,794-5
28 Sept 2026, 01:358,799-1
18 Sept 2026, 10:388,800+11
14 Sept 2026, 01:408,789+8
10 Sept 2026, 06:598,781+48
4 Sept 2026, 19:408,733+9
28 Aug 2026, 23:258,724+4
25 Aug 2026, 21:598,720+5
22 Aug 2026, 17:178,715+6
19 Aug 2026, 14:368,709+1
16 Aug 2026, 21:178,708first reading

Engagement

57 posts held, back to 27 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 45 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
41.6%
avg views ÷ 8,840 subscribers
Avg views / post
3,680
19 posts measured
Reaction rate
2.69%
reactions ÷ views · ER floor
Posts in window
19
of 57 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 11 November 2026
Posts held57 (27 July 2026 – 11 November 2026)
Views total69,890
Reactions total1,880
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 12:41 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

Photos
≈1,050
Videos
≈34
Links
≈566

Lifetime counters from Telegram’s own channel header, read 11 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
2m 00s
Average length
24s

Measured directly from 5 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

4,114 reactions across 57 posts, in 35 distinct kinds. The most used accounts for 27.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
😁1,11827.2%
🔥1,04125.3%
❤41310.0%
👍4089.92%
🎉2125.15%
😱1112.70%
❤‍🔥922.24%
custom 5388750545504737097862.09%
custom 5328194680611975694781.90%
⚡721.75%
💯701.70%
🤔481.17%
✍390.948%
👀340.826%
💊290.705%
👎260.632%
💅260.632%
🤯250.608%
🍾240.583%
🌚230.559%
15 further kinds1393.38%

Custom emoji. 2 of the rows above are 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 counts beside them are Telegram’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 57 of the 57 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 4,114 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 57 most recent posts we hold, published 27 July 2026 to 11 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.

Telegram Stars

Stars received
14
across the posts below
Posts paid on
8
of 57 we hold a reading for · 14%
Most on one post
3
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @doomgrad. 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 57 most recent posts we hold for this entry, published 27 July 2026 to 11 November 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

Telegram’s own ‘edited’ marker: 5 of 19 posts held from the last 30 days (26.3%) 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).

11 Nov 2026, 08:49 UTC≈1,080 views36 reactionsread 11 November 2026
Photo

Делал пару лет назад сайт hfday.ru с суммаризациями статей с HF Daily на русском с фильтрами по тегам, уже и сам про него забыл, а люди пользуются. Написали, что серт стух, оказалось, что GitHub pages завис на перевыпуске (сам сайт без бэкенда, просто набор скриптов на GitHub, который генерит странички с обзорами раз в несколько часов и коммитит их). Штука довольно удобная, можно посмотреть лучшие статьи по нужной т…

👍21🔥9✍3⚡2🤩1

Signed Sergei Averkiev

9 Nov 2026, 18:18 UTC≈1,900 views58 reactionsread 11 November 2026
Photo

Подключил Codex к Blender'у по MCP Всякие здания и ландшафты делает довольно точно и быстро, гонял все на модели Astra. Надо теперь попробовать что-то более абстрактное/сложное (я в блендере лох, но что-нибудь придумаем. Кстати, кто шарит, кидайте идеи. Я думаю какие-нибудь музейные экспонаты пофоткать, отрендерить и напечатать). Процесс создания сцен интерактивный — говоришь агенту, что делать, кидаешь ему референ…

🔥40❤9custom 53887505455047370975✍3💯1

Signed Sergei Averkiev

8 Nov 2026, 16:37 UTC≈2,240 views61 reactionsread 11 November 2026
Video

Не удержался и доработал рисовалку цветов для открыток. Можно выбирать какие цветы добавить (розы, тюльпаны, васильки и другие) и задавать для них цвета. Можно скачивать видео. 👉 https://averkij.github.io/floral-patterns/

🔥39😁7❤5✍4🌚2🍓1🎄1👍1

Signed Sergei Averkiev

7 Nov 2026, 19:30 UTC≈2,350 views72 reactionsread 11 November 2026
Video

#n4spb Добавил управляемый катер у Аничкова моста. Все реки и каналы теперь открытые, можно в принципе и на машине в них сигануть. 👉 Играть | GitHub

🔥52⚡8🐳5👍3😱2❤1👏1

Signed Sergei Averkiev

7 Nov 2026, 13:15 UTC≈2,410 views78 reactionsread 11 November 2026
Photo

#n4spb За два-три месяца уже весь центр Питера сделал, подбираемся к спальникам. 👉 Играть | GitHub

🔥55❤‍🔥9⚡6😱5🎉1👍1💯1

Signed Sergei Averkiev

7 Nov 2026, 07:41 UTC≈3,110 views39 reactionsread 11 November 2026
Photo

Воспроизвел астрой рисование цветов, можно потыкать, код тут. https://averkij.github.io/floral-patterns/

🔥27❤5👍5✍1🎄1

Signed Sergei Averkiev

6 Nov 2026, 07:26 UTC≈2,700 views70 reactionsread 11 November 2026
Photo

🔺 Генерация орнаментов 🟢 Смотрите, какая красота. Computer-Generated Floral Ornament — статья 1998 года (рис. 1). Небольшая статья про принципы построения растительных орнаментов алгоритмами. Есть референсы на более старые работы по теме и около неё, например, Walter Crane. Line and Form 1902 г. 🟢florilegium (рис. 2) — свежая работа. Библиотека, которую можно подключить прямо в LaTeX, чтобы в вашей статье проросли …

❤‍🔥35🔥18❤6👍3🍓2👏2💅2🎄1

Signed Sergei Averkiev

2 Nov 2026, 09:53 UTC≈3,640 views277 reactionsread 11 November 2026

Так, друзья, у меня ДР сегодня. Мальчику уже 39, с чем вас всех и поздравляю!

🎉192❤34🔥23🍾16🎄2👍2💅2🤝2

Signed Sergei Averkiev

31 Oct 2026, 16:06 UTC≈3,900 views45 reactionsread 11 November 2026

В газете Пионерская правда пишут, что подписку на Kimi (а у них как раз вышла модель 3.1 Pro) теперь можно оплатить картами Мир 🫣. Это как так, кто-то пробовал? // люди пишут, что работает

😱21👍11🔥9👀2✍1🌚1

Signed Sergei Averkiev

31 Oct 2026, 09:42 UTC≈4,340 views146 reactions1 Starread 11 November 2026

Вот клода забанили и, вместо постоянной кормежки его задачами, стало больше времени на себя. Можно книжки почитать, здоровьем заняться… Шучу, перевел весь слоп на кодекс.

😁98custom 538875054550473709725❤10💯5🔥5⚡1👎1💅1

Signed Sergei Averkiev

30 Oct 2026, 08:41 UTC≈4,800 views156 reactionsread 11 November 2026

Друзья, действительно вышел на работу, в команду Гигакод. Так что будет возможность прикоснуться к разработке кодовых моделей в компании крутых ребят. Тема клёвая и актуальная, есть в чем закопаться. В первый день в офисе встретил своих давних любимых коллег, Алёну, Валеру, Сашу и других (для понимания можете представить своих), чуть слезу не пустил. Ну всё, пошел на созвон.

🔥80❤‍🔥21❤14😁14👎7😨5custom 53887505455047370975💅4

Signed Sergei Averkiev

30 Oct 2026, 07:19 UTC≈4,570 views138 reactionsread 11 November 2026
Photo

Хорошей пятницы

😱59custom 538875054550473709741😁14🫡10🌚3🎄3💔2💯2

Signed Sergei Averkiev

Showing the 12 most recent of 57 posts we hold for @doomgrad. 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.

Posts edited after publishing

@doomgrad edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
8 August 2026
Most recent edit
8 August 2026

Polls

The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.

3 Aug 2026, 18:04 UTCAnonymous Poll1,060 voters approx.

На каком языке общаетесь с агентами?

  1. на русском76%
  2. на английском39%

The shares total 115%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 57 most recent posts we hold, published 27 July 2026 to 11 November 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

Forward network

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 10 registered channels — 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.

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.

gonzo-обзоры ML статей
@gonzo_ML · 24,695
Telegram ranks this channel #6 of 93 here — alongside 92 others — read 16 September 2026
LLM под капотом
@llm_under_hood · 30,219
Telegram ranks this channel #8 of 96 here — alongside 95 others — read 9 September 2026
Machinelearning
@ai_machinelearning_big_data · 275,659
Telegram ranks this channel #12 of 95 here — alongside 94 others — read 10 August 2026
эйай ньюз
@ai_newz · 98,339
Telegram ranks this channel #13 of 94 here — alongside 93 others — read 16 August 2026
Метаверсище и ИИще
@cgevent · 53,591
Telegram ranks this channel #14 of 92 here — alongside 91 others — read 25 August 2026
Сиолошная
@seeallochnaya · 81,254
Telegram ranks this channel #14 of 97 here — alongside 96 others — read 19 August 2026
Sber AI
@SberAIScience · 26,483
Telegram ranks this channel #16 of 95 here — alongside 94 others — read 10 September 2026
Yandex for ML
@yandexforml · 19,136
Telegram ranks this channel #21 of 96 here — alongside 95 others — read 4 October 2026
Ai molodca
@strangedalle · 47,602
Telegram ranks this channel #25 of 94 here — alongside 93 others — read 27 August 2026
Data Secrets
@data_secrets · 96,035
Telegram ranks this channel #25 of 98 here — alongside 97 others — read 17 August 2026
Denis Sexy IT 🤖
@denissexy · 140,753
Telegram ranks this channel #27 of 95 here — alongside 94 others — read 13 August 2026
Machine learning Interview
@machinelearning_interview · 30,560
Telegram ranks this channel #30 of 98 here — alongside 97 others — read 7 September 2026
Силиконовый Мешок
@prompt_design · 92,791
Telegram ranks this channel #41 of 96 here — alongside 95 others — read 18 August 2026
Kali Novskaya
@rybolos_channel · 19,136
Telegram ranks this channel #47 of 93 here — alongside 92 others — read 4 October 2026
Neurogen
@neurogen_news · 22,916
Telegram ranks this channel #47 of 88 here — alongside 87 others — read 19 September 2026
Dev & ML Connectable Jobs
@dev_connectablejobs · 29,105
Telegram ranks this channel #52 of 94 here — alongside 93 others — read 10 September 2026
Анализ данных (Data analysis)
@data_analysis_ml · 51,923
Telegram ranks this channel #59 of 93 here — alongside 92 others — read 25 August 2026
Neural Shit
@NeuralShit · 54,643
Telegram ranks this channel #59 of 92 here — alongside 91 others — read 24 August 2026
Data Science
@datascienceiot · 42,496
Telegram ranks this channel #69 of 76 here — alongside 75 others — read 29 August 2026
e/acc
@cryptoEssay · 63,613
Telegram ranks this channel #69 of 96 here — alongside 95 others — read 21 August 2026
Время Валеры
@cryptovalerii · 32,082
Telegram ranks this channel #72 of 94 here — alongside 93 others — read 6 September 2026
Техасский Вестник
@starbasepost · 19,255
Telegram ranks this channel #77 of 92 here — alongside 91 others — read 4 October 2026
Hacker News
@hacker_news_feed · 30,560
Telegram ranks this channel #77 of 79 here — alongside 78 others — read 8 September 2026
Бурый
@sburyi · 20,159
Telegram ranks this channel #79 of 93 here — alongside 92 others — read 4 October 2026

This channel appears in 27 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 9 November 2026 — this entry's latest reading, not the date you are reading this.

“Градиент обреченный” (@doomgrad), 8,840 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/doomgrad.

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.