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Channel

Geeks

@g33ks

On this record: Topic · Growth · Engagement · Reactions · Stars · Posts · Citations · Cite this entry

7,700subscribers

-32 since we began measuring on 5 August 2026

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

Register entry

Telegram ID-1001021354797
TypeChannel
Username@g33ks
Created1 March 2016measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live18 September 2026
Measurements held13
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/g33ks

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 12 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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

7,7007,7327,7165 August 2026 — 7,732 subscribers6 August 2026 — 7,732 subscribers8 August 2026 — 7,730 subscribers12 August 2026 — 7,726 subscribers15 August 2026 — 7,725 subscribers17 August 2026 — 7,724 subscribers25 August 2026 — 7,721 subscribers27 August 2026 — 7,723 subscribers31 August 2026 — 7,722 subscribers4 September 2026 — 7,717 subscribers9 September 2026 — 7,712 subscribers13 September 2026 — 7,707 subscribers18 September 2026 — 7,700 subscribers5 August 202618 September 2026
13 measurements spanning 43 days, net -32. 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 7,695–7,737 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
18 Sept 2026, 01:387,700-7
13 Sept 2026, 13:377,707-5
9 Sept 2026, 14:227,712-5
4 Sept 2026, 01:547,717-5
31 Aug 2026, 05:367,722-1
27 Aug 2026, 22:437,723+2
25 Aug 2026, 02:037,721-3
17 Aug 2026, 21:157,724-1
15 Aug 2026, 00:447,725-1
12 Aug 2026, 02:527,726-4
8 Aug 2026, 22:237,730-2
6 Aug 2026, 03:057,732no change
5 Aug 2026, 22:087,732first reading

Engagement

31 posts held, back to 29 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 17 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
10.4%
avg views ÷ 7,700 subscribers
Avg views / post
801
1 post measured
Reaction rate
1.50%
reactions ÷ views · ER floor
Posts in window
1
of 31 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 25 August 2026
Posts held31 (29 June 202625 August 2026)
Views total801
Reactions total12
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Aug 2026, 20:47 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.

Reaction mix

413 reactions across 28 posts, in 18 distinct kinds. The most used accounts for 23.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
9823.7%
👍5613.6%
😁5312.8%
🤯4510.9%
🔥389.20%
🏆297.02%
😢204.84%
🤔163.87%
❤‍🔥133.15%
🥰122.91%
🤡92.18%
61.45%
🥴61.45%
💯51.21%
🫡30.726%
🤣20.484%
🍌10.242%
👏10.242%

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 31 of the 31 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 446 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 31 most recent posts we hold, published 29 June 2026 to 25 August 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 31 we hold a reading for · 3%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @g33ks. 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 31 most recent posts we hold for this entry, published 29 June 2026 to 25 August 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

25 Aug 2026, 14:36 UTC801 views12 reactionsread 28 August 2026
Photo

• Считаю, что это прекрасно: на сайте Raspberry Pi опубликовали гайд по реализации кибердеки судного дня. По ссылке ниже можно найти схему сборки, комплектующие, реализация питания и компоновки. Забираем отсюда: ➡️ https://www.raspberrypi.com/news/create-your-own-cyberdeck #Разное

7🔥3🤣1🥰1

Signed Shpak Aleksandr

20 Aug 2026, 11:14 UTC≈3,390 views13 reactionsread 28 August 2026

Mojo — это язык, очень похожий на Python, но компилируемый и с дополнительными ништяками вроде статической типизации. При этом Mojo может вызывать Python-код, а Python — Mojo. То есть можно, например, использовать в Mojo проверенные временем Python-библиотеки или постепенно переписывать старый Python-проект на Mojo, если вам вдруг очень этого захотелось. И буквально неделю назад Mojo достиг версии 1.0, а чуть позже

🥴5🔥42🤔2

Signed Shpak Aleksandr

19 Aug 2026, 02:18 UTC≈1,340 views2 reactionsread 28 August 2026
Forwarded from @tricky_python

Пару недель назад я писал про то, насколько больше security-отчетов теперь приходит для CPython по сравнению с предыдущими годами. Казалось бы - берешь llm, она пишет тебе патч - и готово, profit. И тут как раз 1password опубликовали исследование, которое показывает, что это пока так не работает. Они сгенерировали более 6000 патчей для 6 разных уязвимостей с помощью opus 4.8 и chatgpt 5.5, обе в версии для security-

2

Signed Shpak Aleksandr

17 Aug 2026, 05:59 UTC≈2,960 views12 reactionsread 28 August 2026

В тему прожорливости винды: тут в интернетах человек попытался пользоваться ноутбуком с 8 ГБ памяти и обнаружил, что система начала задыхаться уже на третьей вкладке браузера. А с тремя вкладками, Slack и Spotify было занято 7,4 из 7,9 ГБ доступной памяти, а после открытия четвёртой вкладки с Gmail компьютер и вовсе начал заметно тормозить. Собственно, тот же Surface Laptop на Windows 11 и с 8 ГБ ОЗУ на фоне этих пр

👍12

Signed Shpak Aleksandr

17 Aug 2026, 05:58 UTC≈2,810 views3 reactionsread 28 August 2026

Уже пошли ожидаемо хвалебные обзоры Qwen 3.8 27B. Эту модель долго ждали и многого от неё ожидали - и, судя по первым впечатлениям, она оправдывает надежды. Есть, конечно, и критика. Во-первых, у модели по умолчанию установлен reasoning_effort=xhigh, и для многих задач это выглядит довольно странно: при таком режиме Qwen способна тратить огромное количество токенов на рассуждения, вплоть до того, что очень быстро з

❤‍🔥21

Signed Shpak Aleksandr

14 Aug 2026, 05:24 UTC≈3,420 views28 reactionsread 28 August 2026
Photo

На недавнем QuakeCon 2026 состоялась историческая очная встреча отцов-основателей id Software — Джона Кармака, Джона Ромеро, Тома Холла и Адриана Кармака. Теперь уже точно можно поставить точку во всей этой истории про «разругались на всю жизнь». PS от @g33ks: забавно, что на фест заезжала Донна Джексон (известная как «id mom»). Её наняли в январе 1994 года, чтобы она помогала с управлением офисом и бизнесом, и, суд

🔥166👍6

Signed Shpak Aleksandr

11 Aug 2026, 12:50 UTC≈1,620 views12 reactionsread 28 August 2026
Photo

PS от @g33ks: Ждём ❤️

9👍3

Signed Shpak Aleksandr

9 Aug 2026, 19:12 UTC≈4,280 views35 reactionsread 28 August 2026
Photo

У любителей винды очередные приколы. Всплыло, что встроенная аппка «Погода» отжирает больше одного гига оперативки, из-за чего, очевидно, страдать начинают даже те, у кого 8 ГБ памяти (что уж говорить о тех у кого меньше). А вся эта красота - из-за того, что аппка написана на ресурсоёмком Microsoft WebView2, да ещё и богата рекламой. https://www.notebookcheck.net/Windows-11-s-built-in-Weather-app-wastes-more-than-1-

🏆2163👍2😁2🤯1

Signed Shpak Aleksandr

7 Aug 2026, 06:01 UTC≈4,070 views22 reactionsread 28 August 2026

Амодеи тут обеспокоился тем, что люди идут к нему работать не за идею, а ради денег. При этом сама Anthropic давно известна зарплатами значительно выше рынка. Например, компания ищет руководителя по организации маркетинговых мероприятий с окладом 320–400 тысяч долларов в год, что примерно в шесть раз выше среднего уровня для такого рода специалистов. https://finance.yahoo.com/technology/ai/articles/anthropic-ceo-re

😁11🤡9👍2

Signed Shpak Aleksandr

7 Aug 2026, 05:04 UTC≈1,420 views15 reactionsread 28 August 2026
Photo

• Многие считают, что основоположником социальной инженерии считается Кевин Митник, который получал доступ к информации не только при помощи технических средств, но и при помощи психологических методов и приемов. Согласны вы с этим мнением, или нет, решать только вам. • Митник родился 6 Августа 1963 года. Сегодня ему бы исполнилось 63 года, однако 16 июля 2023 Кевин скончался от тяжелой болезни... Он был самым изв

6👍6🔥3

Signed Shpak Aleksandr

6 Aug 2026, 06:14 UTC≈3,110 views23 reactionsread 28 August 2026
Photo

История с Grokipedia, похоже, подходит к концу. Портал не обновлялся с 24 апреля и с тех же пор не принял ни одной пользовательской правки. Для тех, кто не знает, и для тех, кто уже успел забыть: Grokipedia — это ИИ-альтернатива Википедии, которую активно продвигал Илон Маск. Сам Маск, кстати, не упоминал сервис в своих соцсетях ещё с февраля. PS от @g33ks: Похоже, это очередной случай, когда что-то успевает умерет

😁15🏆8

Signed Shpak Aleksandr

4 Aug 2026, 06:24 UTC≈1,470 views12 reactionsread 28 August 2026
Photo

Все уже написали о том, что вышла Qwen3.8-Max (на 2,4 трлн параметров, 95 млрд активных, с контекстным окном на 1 млн токенов). И понятно, что модель хороша. По бенчмаркам она где-то выигрывает, где-то уступает другим топовым моделям, но в целом держится очень достойно. Но я прям жду, когда в открытом доступе появится Qwen3.8-27B, которую можно будет гонять локально для кода. Если её действительно выпустят, она наве

7🔥5

Signed Shpak Aleksandr

Showing the 12 most recent of 31 posts we hold for @g33ks. 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.

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 4 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.

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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“Geeks” (@g33ks), 7,700 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/g33ks.

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.