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 17 September 2026 and assigned it the closest of 31 fixed categories, at 95% 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 measurements spanning 21 days, net +14. 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 1,547–1,566 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
19 Sept 2026, 16:36
1,564
+1
15 Sept 2026, 04:01
1,563
+5
11 Sept 2026, 16:35
1,558
+2
7 Sept 2026, 01:19
1,556
+5
2 Sept 2026, 00:14
1,551
+2
29 Aug 2026, 23:34
1,549
-1
29 Aug 2026, 06:15
1,550
first reading
Engagement
20 posts held, back to 19 March 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 1 page of Telegram’s post history, 20 posts per page.
ERR · 30 days
17.1%
avg views ÷ 1,564 subscribers
Avg views / post
268
2 posts measured
Reaction rate
2.24%
reactions ÷ views · ER floor
Posts in window
2
of 20 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 27 August 2026
Posts held
20 (19 March 2026 – 27 August 2026)
Views total
535
Reactions total
12
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
29 Aug 2026, 06:15 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.
Reaction mix
159 reactions across 17 posts, in 7 distinct kinds. The most used accounts for 71.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
113
71.1%
❤🔥
25
15.7%
🔥
7
4.40%
👌
5
3.14%
👏
5
3.14%
👍
3
1.89%
💯
1
0.629%
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 18 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 159 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 19 March 2026 to 27 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.
لكل مهتم بالتكنولوجيا ومستقبل سوريا الرقمي… انضموا لمؤتمر Future Ready الذي تنظمه الغرفة الفتية الدولية حلب JCI Aleppo، الحدث الأبرز الذي يجمع خبراء من الوطن العربي في 8 محاور تغطي أبرز مجالات التحول الرقمي وتطبيقاته العملية.
🎙️ المدربون والخبراء والمحاور:
🔹 الذكاء الاصطناعي التوليدي – د. فادي عمروش، خبير التحول الرقمي والذكاء الاصطناعي على مستوى الوطن العربي
🔹 هندسة الأوامر (Prompt Engineering) – هاني الخلف، المد…
اليوم بلشت بسلسلة هي اني احضر الكورسات القصيرة يلي كتير مفيدين من DeepLearning.AI
واول واحد هو LLMs as Operating Systems ركزو بالكورس عال LLM من مجرد مودل برد على أسئلة لنظام تشغيل كامل بيقدر يدير ال context ويستخدم ال tools المناسبة و كمان كيف نبني ذاكرة لل Agent بتخليه يحتفظ بالمعلومات ويحدثا و كيف ننقل الـ RAG لمستوى اكبر بدل ما يكون النظام مجرد أداة لاسترجاع النصوص او الصور
الصراحة في كتير شغلات جديدة عليي كانت م…
السلام عليكم ورحمة الله وبركاته
مع نهاية رحلتي اليوم مع Learning-Go، بحب أشكر كل شخص اشتغلت معه خلال هالفترة، وكل شخص أضافلي شي بهالتجربة الشيقة🙏
خلال آخر مرحلة إلي بالشركة كنت عم أشتغل كـ Technical Team Lead، وهاد الدور أعطاني مساحة أكبر بالقيادة, متابعة الـdelivery، التنسيق بين الفريق، وتحويل المتطلبات لحلول, بالإضافة لخلفيتي الأساسية بتطوير البرمجيات.
واليوم عم أبدأ مرحلة جديدة وأبحث عن فرصة أقدر أستفيد فيها من …
شو منحتاج عنجد لنبني AI Applications وتنجح بالـ Production؟
الفرق الجوهري بين تطبيقات الذكاء الصنعي والبرمجيات العادية هو إنو مخرجات الـ AI غير متوقعة. بالسوفتوير العادي اذا بدي ابني تطبيق موبايل مثلا ف بكون بعرف النتيجة، بس هون ما منعرف شو الـ LLM رح يولد أو شو رح يتوقع مودل المشين ليرنينغ.
بسبب هاد الغموض، بناء أنظمة الـ AI هو عملية تجريبية أكتر بكتير من السوفتوير العادي وصعب جداً تخطط لكل شي بالبداية. الحل هو ان…
السّلام عليكم
فرص تدريب مدفوعة بشركة Cloud Softway لمدة شهرين
تفاصيل فرصة التدريب (بُناة المستقبل):
طبيعة التدريب: تدريب تقني مدفوع الأجر (250 دولار أمريكي شهرياً) لمدة شهرين( مع إمكانية الحصول على عقد عمل بعد انتهاء التدريب اعتماد على الأداء)
موقع التدريب: حضوري في مكتب الشركة في محافظة دمشق.
أوقات الدوام: 30 ساعة أسبوعياً (من الأحد إلى الخميس).
الفئة المستهدفة: طلاب السنة الأخيرة في الجامعة أو الخريجون الجدد ا…
خمسون ألف تقني وتقنية سورية... خطوة نحو مستقبل رقمي أقوى.
تُطلق الشبكة السورية البريطانية للكفاءات مبادرة Tech50K، برنامجاً وطنياً يهدف إلى تأهيل 50,000 متدرب ومتدربة بالمهارات الرقمية والتقنية الأكثر طلباً في سوق العمل، من خلال مسار تدريبي متدرج يبدأ من الأساسيات ويصل إلى الاحتراف.
يشمل البرنامج مجالات متنوعة، منها:
- الذكاء الاصطناعي
- تطوير البرمجيات
- الأمن السيبراني والشبكات
- الحوسبة السحابية
- تحليل البيانات…
Wrapping up the week with a few new opportunities at SYNC. 🚀
We’re currently looking for professionals across AI, backend, product, full-stack engineering, QA, DevOps, and technical support:
📌 MLOps + DevOps Engineer – Agentic AI & Platform
📌 Backend Engineer – Applied AI
📌 Product Engineer, AI
📌 Sr. Full Stack Engineer – Agentic Commerce Platform
📌 Product Owner
📌 Quality Assurance Engineer (Mobile App Tester)
📌 D…
منقول
يسعد أوقاتكن جميعاً!
حابين نساعد أكبر عدد من الناس تلاقي شغل.. ثواني بس من وقتكم ممكن تفتح باب رزق لشخص عم يدور على فرصة!
عم نكبر هاد الجروب ليوصل لأكبر عدد من المهتمين، لأنو رح تنزل عليه عروض عمل حصرية بشكل دوري ومن شركات قوية جداً
شاركوا الرابط مع رفقاتكن، زملائكن، ومجتمعكن لتعم الفائدة على الكل:
🔗 https://www.linkedin.com/groups/35970000/
We’re Hiring: Software and AI Solutions Sales Executive
Teqnan is looking for a motivated and results-driven Sales Executive to join our team and help drive the growth of our AI and IT solutions.
Key Responsibilities:
* Generate and qualify new business opportunities
* Manage the full sales lifecycle, from lead generation to deal closure
* Sell customized AI and enterprise IT solutions
* Build and maintain strong cus…
دعوة إلى الخبراء للتطوع في تقديم التدريب وإعداد المحتوى العلمي
DAMA Syria (Forming Chapter)
كن جزءاً من بناء مستقبل إدارة البيانات في سورية
تمر سورية بمرحلة مهمة من إعادة البناء والتحول الرقمي، وأصبحت البيانات من أهم الأصول التي تعتمد عليها المؤسسات لاتخاذ قرارات أفضل، وتحسين خدماتها، وتعزيز كفاءتها.
ويتطلب نجاح هذا التحول وجود خبرات قادرة على نشر المعرفة المهنية في إدارة البيانات، وفق الممارسات والمعايير المهنية …
❤7
Signed Yassin Abdulmahdi
Showing the 12 most recent of 20 posts we hold for @yassin_abdulmahdi. 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.
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.
#العلم_لا_يكال_بالبتنجان @fyb2020 · 42,399 Telegram ranks this channel #34 of 71 here — alongside 70 others — read 29 August 2026
Remotely Jobs | Syria 🌍 UAE | Online ️️ | Vacancy | فرص عمل عن بعد | @jobs963 · 26,310 Telegram ranks this channel #48 of 75 here — alongside 74 others — read 13 September 2026
جامعة دمشق @damascus122021 · 21,198 Telegram ranks this channel #56 of 80 here — alongside 79 others — read 24 September 2026
This channel appears in 3 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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“Yassin Abdulmahdi | ياسين عبد المهدي” (@yassin_abdulmahdi), 1,564 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/yassin_abdulmahdi.
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.