Telegram RegisterThe public register of Telegram
Telegram profile photo for م. محمد الهلاني ( برمجة و امن سيبراني )

Channel

م. محمد الهلاني ( برمجة و امن سيبراني )

@MMAlhlani

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts recorded as deleted · Polls · Citations · Cite this entry

8,159subscribers

-14 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001281443811
TypeChannel
Username@MMAlhlani
Descriptionننشر شروحات في الحماية من الهكر وتعلم البرمجة+تطبيقات💻مدفوعة ومهكرة وتطبيقات💻من👇تصميم مدير القناة المهندس/محمدالهلاني. @MAlhlani القناه الاحتياطية @MH_7750 نقوم بعمل تطبيقات ومواقع وتسويق وتصميم(إعلانات) وتوفير دورات وكورسات في كل مجالات التقنية
CreatedBetween 1 April 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live10 November 2026
Measurements held25
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/MMAlhlani

Topic

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 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear in near-verbatim form on 1 other registered channel. This entry also forms a group of 2 channels linked by matching posts. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@Expert_Net/955120 Aug 2026, 21:41 UTC@MMAlhlani/12109 · this entry21 Aug 2026, 02:16 UTC1.004.6 hours
@Expert_Net/955320 Aug 2026, 21:44 UTC@MMAlhlani/12111 · this entry21 Aug 2026, 02:16 UTC1.004.5 hours
@Expert_Net/963530 Oct 2026, 04:46 UTC@MMAlhlani/12386 · this entry30 Oct 2026, 14:29 UTC1.009.7 hours
@Expert_Net/963630 Oct 2026, 16:30 UTC@MMAlhlani/12387 · this entry30 Oct 2026, 17:16 UTC1.0046 minutes
@Expert_Net/96555 Nov 2026, 17:32 UTC@MMAlhlani/12396 · this entry6 Nov 2026, 11:24 UTC1.0018 hours
@Expert_Net/965910 Nov 2026, 11:22 UTC@MMAlhlani/12417 · this entry10 Nov 2026, 13:48 UTC1.002.4 hours
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@Expert_Net7 (7/7 hand-verifiable sample passed)1.004.5 hours@Expert_Net (7–0)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 7 of the 7 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 88 comparable posts for this entry, running 1 August 2026 to 10 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Of the group of 2 channels, the one whose matching posts we hold earliest is @MMAlhlani — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_copy, last confirmed 11 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Channels linked by matching posts

This channel is in a group of 2 registered channels linked by matching posts. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

8,1418,1878,1646 August 2026 — 8,173 subscribers7 August 2026 — 8,173 subscribers10 August 2026 — 8,162 subscribers12 August 2026 — 8,161 subscribers19 August 2026 — 8,166 subscribers22 August 2026 — 8,158 subscribers25 August 2026 — 8,170 subscribers28 August 2026 — 8,169 subscribers1 September 2026 — 8,170 subscribers4 September 2026 — 8,172 subscribers9 September 2026 — 8,187 subscribers12 September 2026 — 8,175 subscribers16 September 2026 — 8,185 subscribers2 October 2026 — 8,186 subscribers8 October 2026 — 8,179 subscribers13 October 2026 — 8,175 subscribers16 October 2026 — 8,169 subscribers19 October 2026 — 8,159 subscribers22 October 2026 — 8,156 subscribers26 October 2026 — 8,161 subscribers29 October 2026 — 8,164 subscribers1 November 2026 — 8,150 subscribers3 November 2026 — 8,143 subscribers6 November 2026 — 8,141 subscribers10 November 2026 — 8,159 subscribers8,1596 August 202610 November 2026
25 measurements spanning 95 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 8,134–8,194 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)SubscribersChange
10 Nov 2026, 11:478,159+18
6 Nov 2026, 20:198,141-2
3 Nov 2026, 21:008,143-7
1 Nov 2026, 01:088,150-14
29 Oct 2026, 02:598,164+3
26 Oct 2026, 02:398,161+5
22 Oct 2026, 21:388,156-3
19 Oct 2026, 17:498,159-10
16 Oct 2026, 13:288,169-6
13 Oct 2026, 21:168,175-4
8 Oct 2026, 15:388,179-7
2 Oct 2026, 08:558,186+1
16 Sept 2026, 16:578,185+10
12 Sept 2026, 23:008,175-12
9 Sept 2026, 03:388,187+15
4 Sept 2026, 04:388,172+2
1 Sept 2026, 03:368,170+1
28 Aug 2026, 20:178,169-1
25 Aug 2026, 16:258,170+12
22 Aug 2026, 15:238,158first reading

Engagement

159 posts held, back to 1 August 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 39 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
5.02%
avg views ÷ 8,159 subscribers
Avg views / post
409
42 posts measured
Reaction rate
0.985%
reactions ÷ views · ER floor
Posts in window
42
of 159 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 36 of 42 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 11 November 2026
Posts held159 (1 August 2026 – 11 November 2026)
Views total17,197
Reactions total146
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 13:28 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
≈2,160
Videos
≈409
Links
≈3,290

Lifetime counters from Telegram’s own channel header, read 11 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
6h 03m
Average length
2h 01m

Measured directly from 3 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

250 reactions across 96 posts, in 10 distinct kinds. The most used accounts for 78.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤19778.8%
👍228.80%
🤓83.20%
🤩83.20%
👨‍💻52.00%
👏31.20%
❤‍🔥20.8%
👌20.8%
🥰20.8%
😢10.4%

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 98 of the 159 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 250 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 159 most recent posts we hold, published 1 August 2026 to 11 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
13
across the posts below
Posts paid on
1
of 159 we hold a reading for · 0.6%
Most on one post
13
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @MMAlhlani. 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 159 most recent posts we hold for this entry, published 1 August 2026 to 11 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: 14 of 42 posts held from the last 30 days (33.3%) 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).

11 Nov 2026, 13:26 UTC1 viewsread 11 November 2026
Photo

أطلق واتساب ميزة جديدة تتيح لك إخفاء رقم هاتفك بشكل كامل! أصبح بإمكانك إخفاء رقمك وإظهار اسم المستخدم (Username) الذي اخترته بدلاً منه وبذلك لن يتمكن الآخرون من رؤية رقم هاتفك، حتى الأشخاص الذين يعرفونك!

Signed مهندس برمجيات/ محمد الهلاني 😎

11 Nov 2026, 08:27 UTC70 views1 reactionsread 11 November 2026
File

https://t.me/MMAlhlani/12420

❤1

Signed مهندس برمجيات/ محمد الهلاني 😎

11 Nov 2026, 08:27 UTC68 views1 reactionsread 11 November 2026
Photo

#حصريا The Science of Personal Branding علم بناء العلامة التجارية الشخصية ⭐️ BY: MindValley With: Gerard Adams ماذا ستتعلم:❓ قم ببناء علامة تجارية شخصية جذابة تضاعف دخلك وتأثيرك ونفوذك برنامج مدته 18 يومًا يكشف عن شخصيتك الحقيقية، ويُحدث تحولًا جذريًّا في عملك أو مسيرتك المهنية من خلال قوة شخصيتك الفريدة وحضورك المميز. 🌐 لغة الكورس: الإنجليزية. 🗣️ الترجمة: اللغة العربية. ✔️ الحجم: 3.5GB. ✔️ المدة: 3 ساعة. ✔️ ال…

❤1

Signed مهندس برمجيات/ محمد الهلاني 😎

11 Nov 2026, 07:36 UTC71 views1 reactionsread 11 November 2026

الحقيقة أنّْ تعب الجَامعَة لا يقتصرُ على الدِّراسةِ فحَسب، بلْ يمتدُّ ليبلُغَ النَّفسَ والجَسَدَ معًا. هيَ أفكارٌ مُتزاحِمةٌ، وتراكُماتٌ لا تنقضي، ودوّامةٌ من الموادِّ والالتزاماتِ لَا تَهدَأ. فثمَّةٌ من يُرهِقُهُ هَمُّ المَصروفِ اليوميّ، وآخرُ يَثقُلُهُ قِسطٌ جامعيٌّ لا يعرِفُ سبيلَ سَداده، هُناكَ مَن يَحمِلُ مَسؤوليّةَ نَفسِهِ وحياتِهِ كاملةً، فلَا يبوحُ بِشَكواهُ لِأهلِهِ لأنَّه "كَبِرَ"، ولم يَعُد ذاك الطِّفلَ ال…

❤1

Signed مهندس برمجيات/ محمد الهلاني 😎

10 Nov 2026, 13:48 UTC215 views4 reactionsread 11 November 2026
Photo

رسمياً: تم إدماج خرائط جوجل googlemaps) داخل منصة Google AI Studio! 🤯🗺️🚀 الآن يمكنك تحويل أفكارك المعتمدة على البيانات الجغرافية والخرائط إلى تطبيقات حقيقية في دقائق معدودة، بمجرد وصف الفكرة ونموذج Gemini يتكفل بالبقية! 💡 ما الجديد والمميز في هذا التكامل؟ ⚡ إعداد بنقرة واحدة: صِف فكرة تطبيق الخرائط الخاص بك، وسيضمن Gemini توليد وتأطير الكود بالكامل. 🏙️ نماذج ثلاثية الأبعاد وStreet View: إمكانية الوصول إلى المجسمات…

❤4

Signed مهندس برمجيات/ محمد الهلاني 😎

9 Nov 2026, 12:31 UTC286 views2 reactionsread 11 November 2026
Photo

💻🔥 هل تريد أن تصبح مطوّر مواقع ويب محترفًا؟ 🚀 فرصتك الآن لتعلّم برمجة مواقع الويب من الصفر حتى الاحتراف! 📚 أكثر من 50 كورسًا ودورة تدريبية تشمل HTML وCSS وJavaScript وPHP وPython وReact وLaravel وWordPress وغيرها من تقنيات تطوير المواقع. ✅ دروس جاهزة ومرتبة. ✅ مشاريع وتطبيقات عملية. ✅ تعلّم مختلف لغات وأطر تطوير الويب. ✅ مناسبة للمبتدئين والطلاب والمطورين. 💰 الاشتراك: 4000 ريال يمني فقط أو 9$! 📩 للتسجيل والاستفس…

❤1👍1

Signed مهندس برمجيات/ محمد الهلاني 😎

8 Nov 2026, 23:48 UTC286 views9 reactionsread 11 November 2026

دعواتكم بالشفاء مريض

❤9

Signed مهندس برمجيات/ محمد الهلاني 😎

7 Nov 2026, 18:02 UTC379 views1 reactionsread 11 November 2026
Photo

‼️ أول تحديث مطمئن من مايكروسوفت: نظام التشغيل Windows 11، مع آخر تحديث، أصبح يستهلك طاقة أقل ويعمل بشكل أسرع.👏 مع التحديث، بدأ الكمبيوتر في التشغيل بسرعة أكبر، وانخفض استهلاك وحدة المعالجة المركزية، وبشكل عام، أصبح كل شيء أكثر استجابة. كما أعلنت شركة Microsoft عن تسريع نظام التشغيل Windows 11 على أجهزة الكمبيوتر التي تحتوي على 8 جيجابايت من ذاكرة الوصول العشوائي (RAM). ووفقًا لنتائج الاختبارات الداخلية، أصبحت بعض …

👍1

Signed مهندس برمجيات/ محمد الهلاني 😎

7 Nov 2026, 18:02 UTC394 views2 reactionsread 11 November 2026
Photo

✦ تحسين الصور ومقاطع الفيديو بجودة عالية باستخدام الذكاء الاصطناعي — مجانًا ✦ تعرف على FreeUpscaler — قم بتحسين الصور ومقاطع الفيديو ذات الدقة المنخفضة مباشرةً في متصفحك، دون الحاجة إلى تحميل ملفاتك إلى خادم. ● قم بزيادة دقة الصور ومقاطع الفيديو إلى ضعف أو أربعة أضعاف. ● يدعم صور JPG و PNG و WebP بحجم يصل إلى 20 ميجابايت. ● يدعم مقاطع الفيديو بتنسيق MP4 و WebM و MOV بحجم يصل إلى 150 ميجابايت. ● لا يتطلب حسابًا أو علا…

❤1👍1

Signed مهندس برمجيات/ محمد الهلاني 😎

7 Nov 2026, 15:36 UTC324 views3 reactionsread 11 November 2026
Forwarded from @Ecp_0File

https://t.me/Ecp_0/3688

❤3

Signed مهندس برمجيات/ محمد الهلاني 😎

7 Nov 2026, 15:34 UTC288 views2 reactionsread 11 November 2026
Photo

عنوان كورس 🧠: اختبار الاختراق الويندوز بإستعمال Dangerous RAT v5 اللغة 👁 : العربية لتحميل الكورس 🔗: https://t.me/Ecp_0/3688 #ويندوز #اختراق_ويندوز

❤2

Signed مهندس برمجيات/ محمد الهلاني 😎

7 Nov 2026, 14:23 UTC292 views2 reactionsread 11 November 2026

📌 شركة "أوبن إيه آي" تطلق نموذج الذكاء الاصطناعي "جي بي تي 6 سايبر"، المتخصص في اكتشاف الثغرات الأمنية واختبار إمكانية استغلالها والمساعدة في تطوير إصلاحات لها، على أن يُتاح في البداية لمجموعة محدودة من الباحثين والجهات المعتمدة ضمن برنامج "داي بريك ريد" للأمن السيبراني، مع خطط لتوسيع الوصول إليه لاحقًا. 📌 وقالت الشركة إن النموذج ساعد باحثيها على تطوير وسائل عملية لاستغلال 948 ثغرة في نواة نظام لينكس، تتيح رفع صلاحي…

❤2

Signed مهندس برمجيات/ محمد الهلاني 😎

Showing the 12 most recent of 159 posts we hold for @MMAlhlani. 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.

Posts recorded as deleted after publishing

We recorded 1 post on @MMAlhlani as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
22 August 2026
Most recent seen missing
22 August 2026
Median time before seen missing
2 days
Seen missing in the last 30 days
0

Polls

The 3 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.

19 Aug 2026, 02:43 UTCAnonymous Poll17 voters

ما هو تقييمك للتطبيق؟

  1. 🔥 ممتاز71%
  2. ⚡️ جيد12%
  3. 😐 عادي12%
  4. 👎 سيء6%

Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.

12 Aug 2026, 15:28 UTCAnonymous Poll1 voter

ما هو تقييمك للتطبيق؟

  1. ⚡️ جيد0%
  2. 😐 عادي0%
  3. 👎 سيء0%

Shares as published, totalling 0%. No per-option vote count is published by Telegram, so none is shown.

12 Aug 2026, 15:28 UTCAnonymous Poll2 voters

ما هو تقييمك للتطبيق؟

  1. ⚡️ جيد0%
  2. 😐 عادي0%
  3. 👎 سيء0%

Shares as published, totalling 0%. No per-option vote count is published by Telegram, so none is 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 159 most recent posts we hold, published 1 August 2026 to 11 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

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 4 registered channels — 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.

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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“م. محمد الهلاني ( برمجة و امن سيبراني )” (@MMAlhlani), 8,159 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/MMAlhlani.

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.