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Channel
@extremecode
On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cite this entry
35,761subscribers
-229 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001136644936 |
|---|---|
| Type | Channel |
| Username | @extremecode |
| Description | IT punks. ❤️ YouTube https://youtube.com/ExtremeCode 💸 Реклама @Mshvyag / [email protected] Для РКН: № 5025353650 |
| Created | 26 August 2017 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 1 September 2026 |
| Measurements held | 24 |
| Confirmed unchanged | 1 time, most recently 1 September 2026 |
| On Telegram | t.me/extremecode |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 1 Sept 2026, 08:14 | 35,761 | -12 |
| 31 Aug 2026, 06:12 | 35,773 | -1 |
| 30 Aug 2026, 05:37 | 35,774 | -9 |
| 28 Aug 2026, 07:25 | 35,783 | -7 |
| 27 Aug 2026, 10:08 | 35,790 | -9 |
| 26 Aug 2026, 12:34 | 35,799 | -2 |
| 25 Aug 2026, 14:28 | 35,801 | +4 |
| 24 Aug 2026, 14:07 | 35,797 | -37 |
| 22 Aug 2026, 22:18 | 35,834 | -15 |
| 21 Aug 2026, 10:13 | 35,849 | -8 |
| 20 Aug 2026, 12:53 | 35,857 | -17 |
| 19 Aug 2026, 09:53 | 35,874 | -16 |
| 18 Aug 2026, 11:12 | 35,890 | -8 |
| 17 Aug 2026, 10:29 | 35,898 | -3 |
| 15 Aug 2026, 17:18 | 35,901 | -5 |
| 14 Aug 2026, 05:38 | 35,906 | -14 |
| 12 Aug 2026, 19:43 | 35,920 | -12 |
| 11 Aug 2026, 22:42 | 35,932 | -10 |
| 11 Aug 2026, 00:01 | 35,942 | -12 |
| 10 Aug 2026, 00:29 | 35,954 | first reading |
35 posts held, back to 11 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 55 pages of 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.
| Window | Rolling 30 days · latest post in window 1 September 2026 |
|---|---|
| Posts held | 35 (11 July 2026 – 1 September 2026) |
| Views total | 280,060 |
| Reactions total | 3,962 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 1 Sept 2026, 19:15 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.
Lifetime counters from Telegram’s own channel header, read 1 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Measured directly from 2 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.
8,359 reactions across 34 posts, in 39 distinct kinds. The most used accounts for 33.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 😁 | 2,758 | 33.0% | |
| 🤣 | 2,015 | 24.1% | |
| ❤ | 1,063 | 12.7% | |
| 👍 | 473 | 5.66% | |
| custom 5825534997087391628 | 456 | 5.46% | |
| 🥴 | 395 | 4.73% | |
| 💯 | 332 | 3.97% | |
| 🔥 | 203 | 2.43% | |
| 🙏 | 145 | 1.73% | |
| 🗿 | 77 | 0.921% | |
| ✍ | 62 | 0.742% | |
| 🥰 | 55 | 0.658% | |
| 🌭 | 52 | 0.622% | |
| 👏 | 34 | 0.407% | |
| 🐳 | 28 | 0.335% | |
| 🤓 | 19 | 0.227% | |
| ⚡ | 18 | 0.215% | |
| ☃ | 17 | 0.203% | |
| 🫡 | 17 | 0.203% | |
| 💅 | 13 | 0.156% | |
| 19 further kinds | 127 | 1.52% |
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 is 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 35 of the 35 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 8,466 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 35 most recent posts we hold, published 11 July 2026 to 1 September 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @extremecode. 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 35 most recent posts we hold for this entry, published 11 July 2026 to 1 September 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.
Старые законы устарели, предлагаю ввести закон ЭхтримКода-Мура Каждые 2 года стоимость транзистора на печатной плате удваивается
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Сбер открыл доступ к новому поколению моделей GigaEmbeddings Линейка включает три модели разного размера: 480M, 3B и 10B-A1.8B. Они переводят тексты в числовые векторы для семантического поиска, построения RAG-систем (Retrieval-Augmented Generation), классификации и кластеризации. Команда разработки изменила архитектуру модели, чтобы упростить интеграцию со стандартными открытыми инструментами. На vLLM GigaEmbeddin…
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Сидел тут, выборочно осматривал на чем конкретно определенные модели факапились. Решил поисправлять за ними тупые баги, что б узнать как конечная имплементация пашет. Ну просто поразительный перформанс листа, особенно когда тебе ниче не нужно рендерить 😄
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Продолжая ИИшную аксиому Эскобара Есть 2 варианта, локальной "one-shot" генерации: 1) Модель выдает архитектурно слабое решение, но зато это полностью рабочий каркас, который без проблем запускается. На такую генерацию уходит ~5 минут 2) Модель выдает классный архитектурны анализ, но полностью факапится в написании кода, допустив тупорылые логические ошибки. На такую генерацию уходит ~15 минут На какой стул сядешь…
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Погоняли тут тесты для ИИ. Выяснилось, что градацию тупости можно измерять следующим образом: > Не может решить вообще ничего > Может решить Python задачи > Может решить React задачи > Может решить Бекенд задачи на не python Кто-то объяснит это тем, что в датасетах больше данных по питону, чем по другим языкам, а кто-то тем, что чтобы писать код на питоне надо быть чуть умнее собаки. Мнение?
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☁️☁️☁️☁️☁️☁️☁️ 24 сентября Yandex Cloud проведёт флагманскую технологическую конференцию — Yandex Scale 2026. 🎨🎨🎨🎨🎨🎨🎨🎨🎨🎨 🎨🎨🎨🎨🎨🎨🎨🎨🎨🎨 🎨🎨🎨🎨🎨🎨🎨🎨🎨 В программе четыре продуктовых трека — AI, Data, Security и Hybrid Infrastructure & DevOps, — и отдельный углублённый технологический трек DeepTech, который пройдёт только онлайн. 🎨🎨🎨🎨🎨🎨🎨🎨🎨🎨 🎨🎨🎨🎨🎨🎨🎨🎨🎨🎨 🎨🎨🎨🎨🎨🎨🎨🎨🎨 В треке DeepTech откроем программу докладом о том, как мы ускори…
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Ну как бы ёпта всё, сбор циферок официально закончен 😄 Осталось дописать выводы, сделать финальную мощнейшую вычитку, и можно записываться-монтажироваться. UPD: Авторская методика G0VNO перевыполнила план и работает просто великолепно. Показала кто из этих тупиц самый наитупейший. Заявка на патент уже отправлена, так же отправил методу во все самые топовые ВУЗы мира на рецензирование 😄
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Скоро чуваки, скоро все будет, я почти закончил с бенчмарками. Скинуть вам мини-спойлер или не надо?
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Нынче айтишный рыночек просто “чистый кайф”. Все ругаются, что всё, время поиска увеличилось до полугода. На моей памяти айтишка помирает уже четвёртый раз. В 2012 году ныли, что в айти вкатываться уже поздно. Бывает такое, что тучи над рыночком сгущаются как в горах, это будет ещё не раз. Что делать в таких ситуациях? Практикум PRO и АльпИндустрия разобрались. Мастер спорта по альпинизму поделился опытом сумасшедш…
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⚡️OpenAI остановила обучение новых моделей ИИ из-за киберрисков, сообщила компания
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Эксперты из каментов, я с этими бенчмарками скоро с ума сойду. Почему так ёпта? Какого хрена iMatrix, и уж тем более 8-и битки быстрее, чем очереднярные Q4? Все в интернетах пишут типа, "АРРРЯЯ IQ медленные", какого хрена у меня они стабильно быстрее? Даже на нормальной жпу (скрин в каменты к посту закину) Параметры бенча дефолтные [--fit-target 1024], контекст 512 на pp, и 128 на tg
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Эксперты из каментов, чёт затык у меня случился лютый, есть тут кто шарит как неподписанные дрова на венду поставить? > Установить линукс не предлагать > CiTool.exe --remove-policy "{8F9CB695-5D48-48D6-A329-7202B44607E3}" / Не работает, выдает 0x80070005 > Memory Integrity, Local Security Authority protection, Vulnerable Driver Blocklist / Выключено > Заменяемый драйвер удалял в сейфмоде, ставил на чистую / похер > …
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Showing the 12 most recent of 35 posts we hold for @extremecode. 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 — 307,279 of 1,629,497 entries 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.
Named by 3 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.
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.
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.
This channel appears in 5 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 1 September 2026 — this entry's latest reading, not the date you are reading this.
“The ExtremeCode Times” (@extremecode), 35,761 subscribers as measured 1 September 2026. Telegram Register, tgregister.com/channel/extremecode.
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.