Job listings — 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 93% 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
22 measurements spanning 85 days, net -294. 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 7,626–8,008 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 22
Measured (UTC)
Subscribers
Change
8 Nov 2026, 04:00
7,670
-18
4 Nov 2026, 20:07
7,688
-21
1 Nov 2026, 18:19
7,709
-11
29 Oct 2026, 22:39
7,720
-29
26 Oct 2026, 12:56
7,749
-16
23 Oct 2026, 04:56
7,765
-13
19 Oct 2026, 18:18
7,778
-16
17 Oct 2026, 04:10
7,794
-7
14 Oct 2026, 00:15
7,801
-19
8 Oct 2026, 14:41
7,820
-14
2 Oct 2026, 03:59
7,834
-47
16 Sept 2026, 17:58
7,881
+6
13 Sept 2026, 07:16
7,875
-4
9 Sept 2026, 15:00
7,879
-17
4 Sept 2026, 17:17
7,896
-12
1 Sept 2026, 09:24
7,908
-14
29 Aug 2026, 05:13
7,922
-10
26 Aug 2026, 10:35
7,932
-12
23 Aug 2026, 07:35
7,944
-8
19 Aug 2026, 16:03
7,952
first reading
Engagement
40 posts held, back to 10 February 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 19 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
7.60%
avg views ÷ 7,670 subscribers
Avg views / post
583
18 posts measured
Reaction rate
1.32%
reactions ÷ views · ER floor
Posts in window
19
of 40 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. It is computed over the 16 of 18 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 5 November 2026
Posts held
40 (10 February 2025 – 5 November 2026)
Views total
10,488
Reactions total
121
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Nov 2026, 01:18 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
Video runtime
29s
Average length
29s
Measured directly from 1 video 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
303 reactions across 35 posts, in 5 distinct kinds. The most used accounts for 89.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
271
89.4%
👍
14
4.62%
🔥
11
3.63%
👏
4
1.32%
😢
3
0.99%
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 40 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 303 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 40 most recent posts we hold, published 10 February 2025 to 5 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.
Recent posts
Telegram’s own ‘edited’ marker: 2 of 19 posts held from the last 30 days (10.5%) 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).
يا صباح الخيرات والمسرات والبركات 💌
الاستثمار الوحيد اللي ما بيخسر إطلاقاً ... هو استثمارك في نفسك💫
تطوير الذات مو كورس أو ورشة اخدناها وخلص، التطوير هو قرار بتاخده كل يوم إنك تكون أحسن من امبارح ولو بـ 1% بس💥
معلومة جديدة تقراها تغير تفكيرك.
مهارة تتعلمها تفتحلك باب رزق أوسع.
عادة سلبية تبطلها توفرلك وقتك وطاقتك
@juliaalabdlla
الوقت من عمرك عم يمشي ف ع لأقل كل يوم استقبله بالنية إنك تبني نسخة أقوى وأنجح منك 🪐
صباح الخيرات والمسرات والبركات 💌
شهر جديد وفرص جديدة 🍀
﴿لِيَجْزِيَهُمُ اللَّهُ أَحْسَنَ مَا عَمِلُوا وَيَزِيدَهُمْ مِنْ فَضْلِهِ ۗ وَاللَّهُ يَرْزُقُ مَنْ يَشَاءُ بِغَيْرِ حِسَابٍ﴾
@juliaalabdlla
عيشوا أيامكم بيقين هذه الآية ،بعملكم بعلاقاتكم بكل تفصيل بحياتكم🌱
قانون كوني🍀 كل ما تعطيه إيجاباً أو سلباً يعود إليك مضاعف🪐
كتاب الذكاء الاصطناعي في بيئة العمل باللغة العربية
مجاني 100%
جزا الله الأستاذ هاني نوايا كل خير
الكتاب هو خلاصة خبرات المدرب والمستشار أ هاني في:
✅ ChatGPT
✅ Claude
✅ Agentic AI
✅ AI Adoption
ستتعلم في هذا الكتاب كل ما يلزمك للعمل على أشهر نماذج الذكاء الاصطناعي، خطوة بخطوة، وبشكل بسيط وسلس ومليء بالتطبيقات والأمثلة الحقيقية
@juliaalabdlla
شير مع أصدقائكم وزملائكم في العمل ليعم الخير🥰
تجدون الكتاب بالرابط أدناه…
صباح الخيرات والمسرات 💌
"حين نُخطئ في فهم الطبيعة الإنسانية، نُخطئ في كل شيء"
"When we get our understanding of humanity wrong, we get everything wrong."
@juliaalabdlla
عبارة استذكرها كثيراً ،أدعوك لتفكر بها وستدعو لي بالخير 🪐🫶
عطلة سعيدة 💌 وجمعة طيبة ومباركة وبتمنالكم لحظات رغيدة وهنية🫶🍀
نختم الأسبوع بقراءة ممتعة 🤍
جميعنا يحمل في جعبته شيئاً ما... أثقالاً وجروحاً، وفصولاً لم تكتمل فصول شفائها، ونسخاً من أنفسنا لا زلنا نتعلم كيف نغفر لها.
تمر علينا أيام نضجّ فيها بمخاوفنا، وأيام نلوذ فيها بصمت مطبق بلا سبب جلي، وأيام نحتاج فيها إلى العزلة لكننا نجهل كيف نطلبها برفق، وأيام ندّعي فيها أننا بخير، فقط لنتفادى عناء البوح بتلك الدوامة المعقدة ال…
من الفكرة إلى النموذج الأولي: ابتكر مشروعك باستخدام وكلاء الذكاء الاصطناعي
هل لديك فكرة لتطبيق أو موقع إلكتروني وتريد تحويلها إلى نموذج أولي قابل للتجربة؟
ضمن فعاليات الأسبوع العالمي لريادة الأعمال 2026، ينظّم مركز الابتكار والريادة في المعهد العالي للعلوم التطبيقية والتكنولوجيا (HIAST) محاضرة في مدينة حلب نتعرّف فيها عملياً إلى كيفية بناء النماذج الأولية باستخدام أدوات مثل ChatGPT وReplit وLovable، حتى دون خبرة بر…
كورس #مجاني AI مستوى متقدم 💥
باحث معروف وموثوق بمجال الذكاء الاصطناعي نشر دورة مجانية فيها أكثر من 11 ساعة تعليم عملي.
بدل ما يشرح استخدام ChatGPT، بعلمك كيف تشتغل نماذج الاستدلال من الداخل، وكيف ممكن تطور أداء نموذج صغير باستخدام Python.
الدورة نشرها الباحث Sebastian Raschka بتاريخ 24 أكتوبر، وهي بعنوان Building Reasoning Models from the Ground Up
فيها 8 فيديوهات، ومجموعها أكثر من 11 ساعة، وبتشرح كيف تطور قدرات ا…
الكورس يلي ح شاركه اليوم للمطورين والباحثين عن فهم بناء النماذج
مو للمبتدئين🤍
لكن أيضاً ح شاركم كتاب بيخدم الجميع 😎
بتفضلوا مشاركة الكورسات صباحاً أو مساءً؟
أنا مثلاً لما بعمل سيرش ع شي لما ماطل بالتسجيل والبدء ببلش صباحاً بكون التركيز والهمة💯💥
صباح الخيرات والمسرات والسعى والاستغناء والامتنان💌
نحن ع بواب شهر جديد وفصل جديد🪐
تذكير تنظفوا وتتخلوا لتتخففوا من كل المعيقات لازدهاركم🍀
@juliaalabdalla
❤5
Signed Julia
Showing the 12 most recent of 40 posts we hold for @juliaalabdlla. 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.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
فرص عمل ورح نكتبلك بالتعليقات نوع الفرص يلي محتاجينها61%
شاركينا خبرتك بصناعة المحتوى التسويقي وتطوير الأعمال بالتخطيط الاستراتيجي للبراندات39%
The shares total 163%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 40 most recent posts we hold, published 10 February 2025 to 5 November 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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.
الشيخ الطبيب محمد خير الشعال Dr-Shaal @drshaal · 55,941 Telegram ranks this channel #26 of 79 here — alongside 78 others — read 9 September 2026
Learn English Everyday @learningEnglish00 · 102,587 Telegram ranks this channel #34 of 88 here — alongside 87 others — read 15 August 2026
HR Partner @recruitment_vacancies · 23,669 Telegram ranks this channel #35 of 75 here — alongside 74 others — read 18 September 2026
محمد حبش - Mohammad Habash @mhabash · 19,696 Telegram ranks this channel #38 of 62 here — alongside 61 others — read 29 September 2026
Remotely Jobs | Syria 🌍 UAE | Online ️️ | Vacancy | فرص عمل عن بعد | @jobs963 · 26,344 Telegram ranks this channel #61 of 75 here — alongside 74 others — read 13 September 2026
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.
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 8 November 2026 — this
entry's latest reading, not the date you are reading this.
“Julia Al Abdalla - جوليا 💜✨” (@juliaalabdlla), 7,670 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/juliaalabdlla.
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.