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 99% 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 39 days, net -124. 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 9,477–9,639 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
16 Sept 2026, 17:55
9,496
-12
12 Sept 2026, 16:38
9,508
-13
8 Sept 2026, 17:20
9,521
-25
3 Sept 2026, 21:18
9,546
-13
31 Aug 2026, 02:07
9,559
-6
28 Aug 2026, 04:17
9,565
-5
25 Aug 2026, 13:28
9,570
-7
22 Aug 2026, 12:58
9,577
-14
18 Aug 2026, 22:57
9,591
-8
15 Aug 2026, 20:04
9,599
-9
12 Aug 2026, 02:32
9,608
-9
9 Aug 2026, 05:10
9,617
-3
8 Aug 2026, 11:47
9,620
first reading
Engagement
20 posts held, back to 14 December 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 31 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 6 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
37s
Average length
37s
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
119 reactions across 15 posts, in 4 distinct kinds. The most used accounts for 59.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤🔥
71
59.7%
🔥
39
32.8%
🏆
7
5.88%
⚡
2
1.68%
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 15 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 119 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 14 December 2025 to 6 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.
🚀 ارتقِ بتجربة تحديث تطبيقك مع "app_upgrade_checker"!
دعم 7 لغات، وإمكانية جلب أحدث الإصدارات من 3 مصادر مختلفة، بالإضافة إلى 3 واجهات (Themes) جذابة وقابلة للتخصيص، مع العديد من الميزات التي لن تجدها في معظم مكتبات تحديث التطبيقات.
اكتشف جميع الإمكانيات، والأمثلة، وطريقة الاستخدام من خلال الموقع:
🔗 https://share.google/VyRyf8Dtn0OdYUo7i
رابط الفيديو
https://www.linkedin.com/posts/alaa-khaled-developer_flutter-flu…
السلام عليكم ورحمة الله وبركاته
باكدج جديده عشات تعمل
Pick
للصور أو الفيديوهات والملفات بنفس شكل ال
Pick
فى
Instagram & Telegram
https://pub.dev/packages/hq_picker
مشكله ربما تقابلكم
وأنا شغال على مشروع تحميل الفييدوهات قابلتني مشكلة مع
Package photo_manager.
الـ Build بقى يقع بسبب اختلاف إصدار الـ
Java/Kotlin
اللي الـ Package كانت بتستخدمه عن المشروع.
بدل ما أعدل ملفات الـ Package نفسها (وده هيروح مع أي Update)
استخدمت Gradle عشان أطبق الإعدادات عليها وقت الـ
Build
تضيف الكود ده فى ال
build.gradle.kts
subprojects {
if (project.name == "photo_manager") {
val…
HighQ Dio Logger
باكدج جديدة للـ
Dio Logging
في Flutter.
الهدف منها إنها توفر Logging متقدم يناسب المشاريع الكبيرة.
PII Sanitization
إخفاء تلقائي للبيانات الحساسة مثل:
• Access Tokens
• Passwords
• Cookies
• Authorization Headers
Pretty Console Logs
عرض الـ
Requests
والـ
Responses
بشكل منظم وسهل القراءة.
Structured JSON Logging
إمكانية إخراج اللوجز بصيغة
JSON
لاستخدامها مع أنظمة المراقبة والتحليل.
…
https://youtube.com/playlist?list=PL5l6CnIghfQPRZ3OMs39lWH1xkGvi73HK&si=Mw01uSjKOovDc1VT
دي بلاي ليست بشرح فيها flutter بشكل مبسط من اول الاساسيات لحد النهاية
لعل وعسي تفيد حد
الموقع دة اسمه ("naraya") بيديك 5 مليون Token ببلاش يوميا!
بيوفرلك 150 مليون توكين في الشهر ببلاش لكل حساب و عندهم Models كتيرة زي Deepseek و MiniMax و Qwen 2.7 و Claude Sonnet و GLM والمفروض علي حسب كلامهم انهم هيضيفوا تقريبا ٣٠ نموذج جديد الشهر الجاي زي claude-sonnet-4.6 و claude-opus-4.7
ممكن تستخدم API بتاعهم علي اي Agentic AI وتعيش حياتك
الموقع اهو ودة مش اعلان :D
https://router.naraya.ai/
#منقول
لو حد بيتعلم
Swift
وعايز يطبق على
VS CODE
ANTIGRAVITY
البوست ده ان شاء الله هيفيدكم .
https://www.linkedin.com/posts/azabcodes_swift-%D9%84%D9%85%D8%A7-%D8%A8%D9%81%D8%AA%D8%AD-xcode-%D8%A7%D9%84%D8%AC%D9%87%D8%A7%D8%B2-%D8%A8%D9%8A%D8%AA%D9%82%D9%84-%D8%B4%D9%88%D9%8A%D9%87-share-7447912764129542145-9JtA?utm_source=share&utm_medium=member_android&rcm=ACoAADOv4_AB8LEMWY3c0decO7wvDZyEjPhHT2s
السلام عليكم ورحمة الله وبركاته،
الريبو دى فيها تجميع لكل الداتا اللي ليها علاقة بتطبيقات القرآن والتطبيقات الإسلامية، بحيث تبقى سهلة الوصول والاستخدام.
https://github.com/azabcodes/quran_api
السلام عليكم ورحمة الله وبركاته
مطلوب حد يكون
Tester
كويس خبره على الأقل ٣ سنوات .
اللى يعرف حد كويس ممكن تخليه يبعت ال
CV
[email protected]
Showing the 12 most recent of 20 posts we hold for @flutter_apps99. 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.
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.
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 16 September 2026 — this
entry's latest reading, not the date you are reading this.
“Flutter | Mahmoud Azab” (@flutter_apps99), 9,496 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/flutter_apps99.
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.