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 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 the other topics.
Growth
58 measurements spanning 90 days, net +1,664. 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 11,894–14,058 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 58
Measured (UTC)
Subscribers
Change
5 Nov 2026, 12:30
13,808
+36
4 Nov 2026, 12:16
13,772
+13
3 Nov 2026, 13:58
13,759
+9
2 Nov 2026, 14:38
13,750
+6
1 Nov 2026, 13:18
13,744
+19
31 Oct 2026, 15:47
13,725
+2
30 Oct 2026, 12:38
13,723
+6
29 Oct 2026, 09:11
13,717
+3
28 Oct 2026, 08:05
13,714
+22
27 Oct 2026, 04:29
13,692
+17
26 Oct 2026, 02:38
13,675
-4
25 Oct 2026, 05:57
13,679
+19
24 Oct 2026, 03:36
13,660
+20
23 Oct 2026, 00:51
13,640
+17
21 Oct 2026, 22:48
13,623
+5
20 Oct 2026, 15:51
13,618
+22
19 Oct 2026, 16:15
13,596
+29
18 Oct 2026, 14:58
13,567
+12
17 Oct 2026, 12:20
13,555
+28
16 Oct 2026, 09:37
13,527
first reading
Engagement
59 posts held, back to 15 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 53 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
13.2%
avg views ÷ 13,808 subscribers
Avg views / post
1,830
12 posts measured
Reaction rate
0.986%
reactions ÷ views · ER floor
Posts in window
13
of 59 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
Window
Rolling 30 days · latest post in window 3 November 2026
Posts held
59 (15 July 2026 – 3 November 2026)
Views total
21,916
Reactions total
216
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Nov 2026, 06:13 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
631
Videos
171
Links
321
Lifetime counters from Telegram’s own channel header, read 6 November 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.
Video runtime
6m 34s
Average length
44s
Measured directly from 9 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
820 reactions across 51 posts, in 10 distinct kinds. The most used accounts for 37.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
311
37.9%
🤣
219
26.7%
🔥
81
9.88%
😱
71
8.66%
😁
69
8.41%
👏
35
4.27%
👍
21
2.56%
😍
6
0.732%
😎
6
0.732%
👌
1
0.122%
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 52 of the 59 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 820 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 59 most recent posts we hold, published 15 July 2026 to 3 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
1
across the posts below
Posts paid on
1
of 52 we hold a reading for · 2%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @codei8. 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 59 most recent posts we hold for this entry, published 15 July 2026 to 3 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: 3 of 13 posts held from the last 30 days (23.1%) 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).
بينانس كشفت تفاصيل الاختراق اللي تسبب بسرقة 6.34 مليار دولار من أصولها، وتخيلوا الهجوم بدأ بسبب مبرمج يستخدم الذكاء الاصطناعي 🫣
بحسب التفاصيل التي كشفتها الشركة، المهاجمون قضوا خمسة أشهر يخططون للهجوم، واستغلوا سلسلة من الأخطاء للوصول إلى الأنظمة المسؤولة عن المحافظ الرقمية.
والقصة بدأت على عدة مراحل:
في يونيو: أحد مهندسي DevOps في بينانس قرر تثبيت أداة مشهورة للبرمجة بالذكاء الاصطناعي، وبحث عن طريقة تثبيتها ف…
قهوة مبرمجين pinned «أهلا بك في ديواني. كل يوم بيت من عيون الشعر العربي القديم، أو أبيات قليلة من قصيدة. نختارها بعناية، ونضبطها بالشكل، ونراجع نصها على دواوين الشعراء وكتب الأدب. ومع كل منشور رابط يفتح القصيدة كاملة في غُرَر، تطبيق صنع لقارئ الشعر العربي. غُرَر على آيفون وأندرويد…»
أهلا بك في ديواني.
كل يوم بيت من عيون الشعر العربي القديم، أو أبيات قليلة من قصيدة. نختارها بعناية، ونضبطها بالشكل، ونراجع نصها على دواوين الشعراء وكتب الأدب.
ومع كل منشور رابط يفتح القصيدة كاملة في غُرَر، تطبيق صنع لقارئ الشعر العربي.
غُرَر على آيفون وأندرويد
https://t.me/diwancom
جوجل خسرت نحو 500 مليار دولار من قيمتها السوقية خلال يوم واحد فقط، بعدما انهارت أسهم شركتها الأم Alphabet بنسبة 12.6%
المشكلة أن الشركة أعلنت عن نمو إيراداتها بنسبة 25% في الربع الثالث من 2026، لكن هذا ما كان كافي لإقناع المستثمرين، اللي بدأوا يشعروا بالقلق من الإنفاق الهائل على الذكاء الاصطناعي وتباطؤ نمو إيرادات الإعلانات.
علشان تتخيلوا حجم المبالغ اللي تنفقها جوجل، تخيلوا خلال ثلاثة أشهر بس صرفت 51.4 مليار دو…
قصة مرعبة، عائلة مهندسة برمجيات في أمازون تتهم ChatGPT بالتسبب في وفاة ابنتهم، بعدما ساعدها على إيقاف أدوية الصرع، وظل يطمئنها أن كل شيء يسير بشكل طبيعي رغم ظهور أعراض خطيرة عليها!
بوين وان، مهندسة برمجيات عمرها 31 سنة، كانت تعاني من الصرع وتتناول دواءً مضادًا للتشنجات، لكنها كانت قلقة من تأثير الدواء على قدرتها على الكلام والتفكير.
فقررت تستشير ChatGPT، وبدل ما يوجهها إلى طبيبها، وضع لها بحسب الدعوى القضائية جدولً…
انتبهوا 💔
وادي السيليكون يعاني من ظاهرة تُعرف باسم «متلازمة الثراء المفاجئ»، بعدما حوّل الذكاء الاصطناعي آلاف الموظفين إلى أصحاب ملايين، لكن المفاجأة أن كثيرًا منهم أصبحوا يعانون من الوحدة والاكتئاب
بحسب تقرير نشرته مجلة Fortune، خلال السنوات الخمس الماضية جمع نحو 10 آلاف موظف في شركات مثل OpenAI وAnthropic وNvidia وMeta وغيرها ثروات تتجاوز 20 مليون دولار لكل واحد منهم.
لكن الظاهر أن الفلوس ما جابت لهم السعادة…
نكذب؟ 😂
واحد على Reddit شارك قصة عن مقابلة عمل، واللي حصل معه يثبت أن الذكاء أحيانًا مش في معرفة الإجابة، احيانا يكون معرفة كيف تتصرف 😂
يقول إنه دخل مقابلة عمل وأعطوه مسألة صعبة جدًا، وما كان عنده أي فكرة عن طريقة حلها. فقرر يجرب حركة غريبة، وقال للمقابِلة: «تعرفين، أنا سبق وحليت هذه المسألة».
والمفاجأة أنها صدقته وغيرت له السؤال مباشرة😅
السؤال الجديد طلع أسهل بكثير، وقدر يحله بكل بساطة، وفي النهاية حصل على …
ثغرتان أمنيتان خطيرتان في لغة PHP تسببتا في حالة استنفار على مستوى الإنترنت، لدرجة أن شركات وجهات حكومية بدأت توقف مواقعها مؤقتًا خوفًا من تعرضها للاختراق.
فريق تطوير PHP أعلن عن ثغرتين يُشار إليهما باسم PHP2Shell، وحصلت كل واحدة منهما على درجة خطورة 9.2 من 10 وفق معيار CVSS 4.0.
وخطورة الثغرتين أنهما قد تسمحان للمهاجمين بتنفيذ أكواد عن بُعد على الخوادم المتأثرة، ولهذا أعلن الفريق عن إصدار تحديث أمني طارئ اليوم،…
تخيل تتخرج من جامعة برينستون وتحصل على الدكتوراه، وتقدم على 2300 وظيفة، وفي النهاية ما تحصل وظيفة
جاك وايس، باحث أمريكي عمره 30 سنة، لمدة سنتين كان يبحث عن وظيفة بعد حصوله على الدكتوراه في الهندسة الكيميائية من جامعة برينستون.
طبعا أبحاث الرجل سبق أن ذكرتها حتى لجنة نوبل، لكن الظاهر أن كل هذا ما كان كافيًا لإقناع أصحاب العمل بتوظيفه.
خلال السنتين، أرسل سيرته الذاتية إلى المختبرات وشركات الأدوية، وحتى المصانع ا…
كلود قدر يحل لغزًا في عالم التشفير عمره 25 سنة، وخلال نصف ساعة فقط!
القصة تتعلق بخوارزمية ECDSA، وهي خوارزمية للتوقيع الرقمي تُستخدم في تقنيات مثل HTTPS وBitcoin وSSH وغيرها.
الخوارزمية تعتمد على ما يُعرف بالمنحنيات الإهليلجية (Elliptic Curves). ولتبسيط الفكرة، تختار نقطة على المنحنى وتكرر جمعها مع نفسها عددًا معينًا من المرات. النقطة الناتجة تمثل المفتاح العام، أما عدد مرات التكرار (k) فهو المفتاح الخاص، ومن الصعب…
اصحاب الاندرويد، ايش رايكم بالتصميم الجديد غيرت أشياء كثيرة
ghurar.app/download/
👏7🔥2❤1👍1
Showing the 12 most recent of 59 posts we hold for @codei8. 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 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.
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.
DrExcel @Dross_HR_Online · 28,236 Telegram ranks this channel #13 of 52 here — alongside 51 others — read 16 September 2026
برمجة وتطوير @pro2dev · 40,245 Telegram ranks this channel #23 of 64 here — alongside 63 others — read 30 August 2026
منصة سطر @tuwaiq_codes1 · 30,380 Telegram ranks this channel #37 of 62 here — alongside 61 others — read 6 September 2026
قناة المعسكرات والتحديات @saudicamp_channel · 40,359 Telegram ranks this channel #37 of 80 here — alongside 79 others — read 30 August 2026
وظائف الخريجين و تمهير @tmhrjobs · 24,439 Telegram ranks this channel #43 of 83 here — alongside 82 others — read 18 September 2026
تعلم A - Z الانجليزي @Abceng1 · 27,810 Telegram ranks this channel #52 of 57 here — alongside 56 others — read 9 September 2026
وظائف التقنية والنظم IT @itcjobs · 19,697 Telegram ranks this channel #65 of 83 here — alongside 82 others — read 3 October 2026
This channel appears in 7 seed channels' Telegram-generated recommendation lists in total. 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 5 November 2026 — this
entry's latest reading, not the date you are reading this.
“قهوة مبرمجين” (@codei8), 13,808 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/codei8.
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.