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 50% 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
13 measurements spanning 38 days, net -68. 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 5,995–6,083 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
15 Sept 2026, 22:41
6,005
-13
11 Sept 2026, 21:38
6,018
-2
7 Sept 2026, 20:56
6,020
-19
2 Sept 2026, 21:05
6,039
-10
30 Aug 2026, 22:28
6,049
-5
27 Aug 2026, 11:57
6,054
-6
24 Aug 2026, 21:19
6,060
-1
21 Aug 2026, 00:03
6,061
-6
17 Aug 2026, 19:18
6,067
-3
15 Aug 2026, 02:34
6,070
-1
11 Aug 2026, 16:02
6,071
-1
8 Aug 2026, 19:23
6,072
-1
8 Aug 2026, 11:17
6,073
first reading
Engagement
20 posts held, back to 18 July 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 5 pages of 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 20 posts for this entry, the most recent from 8 February 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
1m 33s
Average length
47s
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.
Reaction mix
38 reactions across 11 posts, in 4 distinct kinds. The most used accounts for 36.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
14
36.8%
👍
14
36.8%
🔥
9
23.7%
🤔
1
2.63%
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 13 of the 20 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 38 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 18 July 2025 to 8 February 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.
🚀 9 مهارات ذكاء اصطناعي عليك إتقانها في 2026 :
1- هندسة الأوامر :
كتابة تعليمات دقيقة للحصول على مخرجات موثوقة عبر ChatGPT و Claude
2- أتمتة سير العمل :
ربط الأدوات ليتولى الذكاء الاصطناعي المهام المتكررة عبر Zapier و n8n.
3- صناعة الصور :
تحويل النصوص إلى تصاميم للمحتوى والإعلانات عبر Nano Banana (Gemini) و Midjourney.
4- البرمجة :
تحويل الفكرة إلى نموذج عملي دون الحاجة لكتابة أكواد معقدة عبر Replit و Lovable.
…
اللقاء الرابع ضمن مبادرة ITC من سايوس تكنولوجي 😍
ما هي الهوية الرقمية و كيف نقوم ببنائها ؟ و كيف ممكن أن تكون السر وراء انتهاز العديد من فرص العمل 🤔👌
https://youtu.be/rwYqBtofSJ0
كونوا معنا باللقاءات القوية القادمة 👏
و أي سؤال أو استفسار لديكم بمجال البرمجة لا تترددوا بطرحه لنا بالتعليقات و سنجيب عليه 👨🏻💻
Saios ... معاً نحو القمة ✅
https://saioscomp.web.app/
🚀 أكثر من 135 أداة ذكاء اصطناعي… في صورة واحدة ! 🤯
هتساعدك تطور شغلك تسرّع إنتاجك وتفتحلك أبواب جديدة للإبداع ✨
في عالم يتطور كل يوم… الذكاء الاصطناعي مش مجرد رفاهية، بل هو مفتاح المستقبل 🔑
سايوس تكنولوجي | Saios Technology
نقود التحول الذكي نحو الغد 🤖✨
https://saioscomp.web.app/
⚠️ هل تعلم أن استبيانًا بسيطًا قد يكون أخطر من أي عملية احتيال إلكتروني مباشرة؟
موضوع غاية بالأهمية ... ‼️
كيف 🤔 ؟ تعال نفهمك التفاصيل 👇
https://www.instagram.com/p/DP18zn5Dj9K/?igsh=dzJucmpjZjVwbnd6
💡 React vs Angular vs Vue.js
من الأقوى في عالم الـ Front-End؟ 🔥
في كل مرة بتفكر تبدأ مشروع واجهة أمامية (Front-End)،
بيظهر السؤال الأزلي: أختار React؟ Angular؟ ولا Vue؟ 🤔
خلينا نحللهم سوا بشكل بسيط مع بعض 👇
https://www.facebook.com/share/p/1HqZ3cvQVd/
كيف تكون Backend Developer في 2025 ؟ ❗️
دور Backend Developer – هو باختصار العمود الفقري لأي مشروع رقمي ناجح !
و اليكم الخريطة الكاملة لهذا المجال خطوة بخطوة 🧠
التفاصيل من هنا ✅
https://www.facebook.com/share/p/1WvgPMhBFN/
🎯 هل تساءلت يومًا: كيف يتم التحكم بمكان ظهور العناصر داخل صفحات الويب 🤔؟
الجواب في مفهوم مهم داخل لغة CSS يُسمى Positioning، وهو ما يحدد طريقة عرض العناصر وتوزيعها داخل الصفحة 🌠
و لهذه الخاصية عدة قيم اهمها :
🔹 Static
الوضع الافتراضي، حيث يتم ترتيب العناصر وفق التدفق الطبيعي للصفحة بدون أي تغيير.
🔹 Relative
يُستخدم عندما تريد تحريك العنصر قليلًا بالنسبة لمكانه الأصلي، مع بقاء المساحة المخصصة له كما هي.
🔹 Absolute…
🔥 50 AI Tools You Can’t Miss in 2025
🚀 أقوى 50 أداة ذكاء اصطناعي لا غنى عنها في 2025
🚀 الذكاء الاصطناعي هو بوابة المستقبل … و هنا جمعنا لك 50 أداة تغطي كل شيء:
🎥 فيديوهات – 🎨 تصميم – 🎶 موسيقى – 💻 برمجة – 📈 تسويق – 🤖 أعمال
https://www.facebook.com/share/p/1Gg3VRRW2Q/
👇 اخبرنا في التعليقات :
أي أداة شايفها الأقوى بالنسبة لك و ما هي أكثر أداة ذكاء اصطناعي تستخدمها في عملك ؟
✅ وتابعنا باستمرار لكي تصلك أحدث الأدوات …
اللقاء الثالث ضمن مبادرة ITC من سايوس تكنولوجي 😍
هذا هو سر نجاحك بحياتك و لكنك لا تعلم ذلك 😦 ... المهارات الناعمة و اهميتها بالحياة و سوق العمل ✅
https://youtu.be/kSAS_Q6_hKE
كونوا معنا باللقاءات القوية القادمة 👏
و أي سؤال أو استفسار لديكم بمجال البرمجة لا تترددوا بطرحه لنا بالتعليقات و سنجيب عليه 👨🏻💻
Saios ... معاً نحو القمة ✅
https://saioscomp.web.app/
اللقاء الثاني ضمن مبادرة ITC من سايوس تكنولوجي 😍
دليلك للاحتراف في مسار برمجة مواقع الويب 👌🌟 وكشف سر النجاح في هذا المجال 💪
https://youtu.be/aNble0vhefs
كونوا معنا باللقاءات القوية القادمة 👏
و أي سؤال أو استفسار لديكم بمجال البرمجة لا تترددوا بطرحه لنا بالتعليقات و سنجيب عليه 👨🏻💻
Saios ... معاً نحو القمة ✅
https://saioscomp.web.app/
وحدة rem: السر وراء التصميم المتجاوب في عالم الويب 🔥
هل ما زلت تستخدم px فقط في CSS؟ 🤔
تعرف على وحدة rem: المفتاح الحقيقي لبناء واجهات متجاوبة وسهلة الوصول (accessible) 💡
في هذا الفيديو بشرح الفرق بينهم و كيف rem بتعطيك مرونة أكبر في التصميم.
م. قصي خضير 👨🏻💻
@Qusaykhudair
لكل من شاهد لقائنا الأول ... هذه هي المراجع و المصادر التي ستحتاجونها لتكونوا على طريق الاحتراف بمجال البرمجة 💪
https://www.facebook.com/share/p/16JQqCCDW5/
لا تنسوا مشاركتها مع أصدقائكم لتعم الفائدة و لا تنسوا دعمنا باللايك و التعليقات الجميلة لنستمر بتقديم المزيد 😍
#ITC ⚡️
#نحو_بناء_مجتمع_تقني_ومبتكر 🦾
Showing the 12 most recent of 20 posts we hold for @lib4pro. 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
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.
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@lib4pro named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@ultra_tech_1 named in 1 post, 9 August 2026 – 9 August 2026
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.
برمجة وتطوير @pro2dev · 40,523 Telegram ranks this channel #47 of 64 here — alongside 63 others — read 30 August 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list 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 15 September 2026 — this
entry's latest reading, not the date you are reading this.
“مكتبة المحترفين” (@lib4pro), 6,005 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/lib4pro.
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.