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بروفيسور التكنولوجيا

@Professor_Technology

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Polls · Citations · Telegram's recommendations · Cite this entry

17,583subscribers

+503 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002142722769
TypeChannel
Username@Professor_Technology
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live18 September 2026
Measurements held34
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/Professor_Technology

Topic

Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 81% 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.

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 word for word on 1 other registered channel. 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 (1 of the pairs behind the counts below)
Posted firstThenOverlapGap
@ProfessoArticles/18212 Jul 2026, 11:20 UTC@Professor_Technology/1475 · this entry12 Jul 2026, 16:30 UTC1.005.2 hours
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@ProfessoArticles5 (5/5 hand-verifiable sample passed)1.0021 minutes@ProfessoArticles (3–2)

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. None of the 1 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 18 comparable posts for this entry, running 30 May 2026 to 7 August 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).

Across the whole group of 2, the earliest publisher we hold is @Professor_Technology — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_mutual, last confirmed 7 August 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.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word 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

17,08017,58317,331.56 August 2026 — 17,080 subscribers7 August 2026 — 17,092 subscribers8 August 2026 — 17,103 subscribers9 August 2026 — 17,121 subscribers10 August 2026 — 17,138 subscribers11 August 2026 — 17,142 subscribers12 August 2026 — 17,172 subscribers13 August 2026 — 17,173 subscribers14 August 2026 — 17,184 subscribers15 August 2026 — 17,214 subscribers16 August 2026 — 17,243 subscribers17 August 2026 — 17,259 subscribers18 August 2026 — 17,271 subscribers20 August 2026 — 17,281 subscribers21 August 2026 — 17,295 subscribers22 August 2026 — 17,321 subscribers24 August 2026 — 17,344 subscribers25 August 2026 — 17,352 subscribers26 August 2026 — 17,361 subscribers27 August 2026 — 17,378 subscribers28 August 2026 — 17,384 subscribers29 August 2026 — 17,391 subscribers30 August 2026 — 17,400 subscribers30 August 2026 — 17,410 subscribers31 August 2026 — 17,417 subscribers1 September 2026 — 17,419 subscribers3 September 2026 — 17,431 subscribers4 September 2026 — 17,457 subscribers7 September 2026 — 17,448 subscribers10 September 2026 — 17,481 subscribers12 September 2026 — 17,493 subscribers14 September 2026 — 17,505 subscribers16 September 2026 — 17,540 subscribers18 September 2026 — 17,583 subscribers6 August 202618 September 2026
34 measurements spanning 43 days, net +503. 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 17,005–17,658 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)SubscribersChange
18 Sept 2026, 13:1517,583+43
16 Sept 2026, 03:5717,540+35
14 Sept 2026, 12:4017,505+12
12 Sept 2026, 20:0017,493+12
10 Sept 2026, 19:1517,481+33
7 Sept 2026, 16:1717,448-9
4 Sept 2026, 15:0017,457+26
3 Sept 2026, 00:0817,431+12
1 Sept 2026, 20:5617,419+2
31 Aug 2026, 23:3917,417+7
30 Aug 2026, 23:3817,410+10
30 Aug 2026, 02:1617,400+9
29 Aug 2026, 03:1317,391+7
28 Aug 2026, 05:5317,384+6
27 Aug 2026, 08:0817,378+17
26 Aug 2026, 04:4617,361+9
25 Aug 2026, 07:3217,352+8
24 Aug 2026, 08:3717,344+23
22 Aug 2026, 13:1217,321+26
21 Aug 2026, 00:5317,295first reading

Engagement

28 posts held, back to 30 May 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 56 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.38%
avg views ÷ 17,583 subscribers
Avg views / post
771
2 posts measured
Reaction rate
1.10%
reactions ÷ views · ER floor
Posts in window
2
of 28 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
WindowRolling 30 days · latest post in window 2 September 2026
Posts held28 (30 May 2026 – 2 September 2026)
Views total1,541
Reactions total17
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 09:18 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
2m 31s
Average length
2m 31s

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

956 reactions across 28 posts, in 13 distinct kinds. The most used accounts for 62.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤59762.4%
🔥22423.4%
👨‍💻262.72%
👏212.20%
🏆181.88%
🎉141.46%
💯131.36%
🥰131.36%
⚡90.941%
🤩80.837%
🤯70.732%
👍50.523%
👌10.105%

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 28 of the 28 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 956 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 28 most recent posts we hold, published 30 May 2026 to 2 September 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
1
across the posts below
Posts paid on
1
of 28 we hold a reading for · 4%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @Professor_Technology. 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 28 most recent posts we hold for this entry, published 30 May 2026 to 2 September 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

2 Sept 2026, 11:04 UTC765 views8 reactionsread 3 September 2026

ما اللهجة التي تفضلونها للدبلجة؟ 🙂

❤8

2 Sept 2026, 11:04 UTC776 views9 reactionsread 3 September 2026
Poll

🙂 استطلاع رأي 🙂 نرغب في معرفة رأيكم حول لهجة الدبلجة المعتمدة للكورسات القادمة. نعلم أن اللهجة المصرية تُعد من أكثر اللهجات وضوحًا وسلاسة في الشرح والتعليم، كما أنها مناسبة جدًا للدبلجة التعليمية، ولكن نود معرفة تفضيلاتكم قبل اعتماد اللهجة بشكل رسمي.

  1. 🇪🇬 المصرية40%
  2. 📖 العربية الفصحى66%

The shares total 106%, 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.

❤8🔥1

27 Aug 2026, 18:28 UTC≈2,330 views102 reactionsread 3 September 2026

أسعد الله أوقاتكم بكل خير ❤️ الفترة القادمة بإذن الله ستكون مليئة بنشر كورسات مترجمة بشكل ضخم ومكثّف، بالإضافة إلى نشر العديد من المقالات والمحتوى التقني المميز ✈️ تفاعلوا معنا، وفَعّلوا إشعارات القناة 🔔 وانتظرونا… القادم أقوى بكثير! 🔥

❤73🔥18🏆3🥰3👏2👨‍💻2🤯1

20 Aug 2026, 17:25 UTC≈3,980 views26 reactionsread 3 September 2026

🔥 لمن كان يسأل عن كيفية استخدام نماذج Claude وOpenAI بشكل مجاني، فهذا المصدر يوفر لك 175$ من أرصدة الـAPI، وهو مبلغ سيكون كافيًا لاستخدامك 🙂 انتظروا مصادر أخرى وأضخم قادمًا 🙂

❤16🔥5💯3🥰2

20 Aug 2026, 17:22 UTC≈4,640 views24 reactionsread 3 September 2026
Photo

👌 احصل على 175$ كرصيد API مجانًا لاستخدام مجموعة من أفضل واحدث النماذج مثل Claude وOpenAI 🙂 عند التسجيل من خلال رابط الإحالة، تحصل على $50 إضافية، وسوف تحصل على $175 عند أنشاء الحساب. 🔗 رابط التسجيل: https://agentrouter.org/register?aff=4UFt 🙂ملاحظات مهمة: يجب أن يكون حساب GitHub المستخدم في التسجيل أقدم من سنة، وأن يحتوي على مستودع واحد قديم على الأقل حتى يتم تفعيل الحساب. بعد فتح الرابط، قم بتحديث الصفحة ليظهر …

🔥13❤10🥰1

20 Aug 2026, 11:01 UTC≈3,070 views14 reactionsread 3 September 2026

ندعوكم للانضمام إلى مجتمعنا والمشاركة معنا في النقاشات 🙂 🙂 المجتمع مُهيّأ بالكامل لتبادل الخبرات، ومناقشة المشاكل التقنية، ومساعدة الأعضاء، والإجابة عن أي استفسار. يمكنكم المشاركة وطرح أسئلتكم في أي وقت، والاستفادة من مجتمع متكامل ومخصص لكم. 🚀 🔗 رابط الجروب: t.me/ProfessorDiscussions 🔥 ننتظركم في مجتمعاتنا، ونرحب بمشاركاتكم وخبراتكم ❤️‍🔥

❤8🎉2🏆2👨‍💻1💯1

16 Aug 2026, 19:33 UTC≈6,310 views14 reactionsread 3 September 2026

🙂 تنويه عاجل 🔥 القناة الحالية معرّضة للحظر في أي لحظة، لذلك نرجو من الجميع الانضمام إلى القنوات الاحتياطية لضمان استمرار وصولكم للمحتوى. ✨ القنوات الاحتياطية: 🔗 https://t.me/+0nLO4FCodqowMTNk 🔗 https://t.me/ProfessorTechnologyHQ 📌 الانضمام للقنوات الاحتياطية ضروري تحسبًا لحظر القناة الحالية. شكرًا لدعمكم وتفهمكم ❤️

❤10🎉2👨‍💻2

7 Aug 2026, 15:15 UTC≈6,970 views35 reactionsread 3 September 2026
Photo

🔥 حصريًا! وباللغة العربية ☄️ 📂 Security+ SY0-701 Prep ❕ التصنيف: Security Fundamentals 👤 مقدم من: NetRiders - أحمد سلطان ✍️ وصف الكورس: دورة شاملة لإعداد المتدربين لاجتياز شهادة CompTIA Security+ (SY0-701)، حيث تغطي أساسيات الأمن السيبراني، إدارة المخاطر، أمن الشبكات، التهديدات والثغرات، إدارة الهوية والوصول، التشفير، والاستجابة للحوادث الأمنية. تهدف الدورة إلى بناء أساس قوي في مفاهيم الأمن السيبراني وتزويد المتدر…

❤24🔥9🎉2

1 Aug 2026, 12:29 UTC≈9,650 views16 reactionsread 3 September 2026

أسعد الله أوقاتكم بكل خير 🌹 🙂 يسرنا الإعلان عن إطلاق قناة AI Brief، المتخصصة في تغطية أحدث أخبار التقنية والذكاء الاصطناعي 🙂 🔥 ماذا ستجد في القناة؟ • أحدث تطورات الذكاء الاصطناعي. • أبرز أخبار التقنية العالمية. • تغطية للاختراقات والحوادث الأمنية التقنية. • أهم الإصدارات والإعلانات من كبرى الشركات. • رصد للاتجاهات والتقنيات الناشئة، أولاً بأول. 🔗 رابط القناة: t.me/AIxBrief ❤️ نتشرف بانضمامكم ودعمكم، ونسعد بوجودكم…

❤13🔥2🥰1

28 Jul 2026, 18:08 UTC≈5,770 views21 reactionsread 3 September 2026

🔥 الروابط الرئيسية • رابط شبكة الفريق: اضغط هنا • رابط القناة: اضغط هنا 🙂 الفهرس (غير محدث) • قناة الفهرس: اضغط هنا • بوت الفهرس: @ProfessorArchiveBot 🙂 القنوات • القناة الفرعية: اضغط هنا • قناة المقالات: اضغط هنا • قناة آخر تقارير وتنبيهات CVEs: اضغط هنا • بوت تقارير CVEs: @CVEIntelligencebot 🙂 المصادر • أرشيف البروفيسور: اضغط هنا (يضم الدورات العربية والأجنبية) • الأرشيف العربي: اضغط هنا (يضم الدورات المترجمة فق…

❤17🔥4

28 Jul 2026, 17:52 UTC≈4,190 views35 reactionsread 3 September 2026
Photo

🔥 وصلنا إلى 17K وحققنا رقمًا جديدًا 🔥 🙂 اليوم وصلنا إلى 17 ألف في القناة، وأكثر من 7 آلاف طالب وباحث وخبير منضمين إلى الأرشيف، كما تجاوز عدد الدورات المتوفرة 600 دورة 👌 🙂 شعارنا واضح، ورؤيتنا وأهدافنا واضحة منذ البداية، ولن ننشغل بأي محاولات لتشتيت مسيرتنا. هدفنا هو الارتقاء بالطلاب والباحثين والخبراء، وتوفير جميع المصادر في مكان واحد، والمساهمة في إنهاء احتكار المعرفة. واليوم نجدد تذكيركم بهذه الأهداف، وبفضل دعمكم…

❤24🔥8👏3

26 Jul 2026, 13:45 UTC≈4,040 views68 reactionsread 3 September 2026

🔥 خلال الأيام القادمة سيتم الانتهاء من إعداد Roadmaps لمعظم المسارات، بالإضافة إلى تحديث جميع الـ Roadmaps الحالية لتواكب أحدث التقنيات والمتطلبات في المجال 🙂

❤40🔥27🎉1

Showing the 12 most recent of 28 posts we hold for @Professor_Technology. 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 edited after publishing

@Professor_Technology edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
8 August 2026
Most recent edit
8 August 2026

Polls

The 2 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.

2 Sept 2026, 11:04 UTCAnonymous Poll279 voters

🙂 استطلاع رأي 🙂 نرغب في معرفة رأيكم حول لهجة الدبلجة المعتمدة للكورسات القادمة. نعلم أن اللهجة المصرية تُعد من أكثر اللهجات وضوحًا وسلاسة في الشرح والتعليم، كما أنها مناسبة جدًا للدبلجة التعليمية، ولكن نود معرفة تفضيلاتكم قبل اعتماد اللهجة بشكل رسمي.

  1. 🇪🇬 المصرية40%
  2. 📖 العربية الفصحى66%

The shares total 106%, 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.

24 Jun 2026, 08:12 UTCAnonymous Poll978 voters

ما رأيك بالقنوات القادمة؟ 👀

  1. قناة للأخبار التقنية8%
  2. قناة لأدوات ومصادر الذكاء الاصطناعي35%
  3. الاثنين معًا44%
  4. لا أؤيد إنشاء قنوات جديدة حاليًا13%

Shares as published. 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 28 most recent posts we hold, published 30 May 2026 to 2 September 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 5 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.

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.

كتب - ملفات مهمة - كورسات
@xmoom · 27,131
Telegram ranks this channel #7 of 47 here — alongside 46 others — read 23 September 2026
كورسات COURSES META
@corses3 · 85,898
Telegram ranks this channel #9 of 54 here — alongside 53 others — read 18 August 2026
Linux Arabs | لينكس
@Linux_Arabss · 25,357
Telegram ranks this channel #13 of 36 here — alongside 35 others — read 14 September 2026
Lrntech
@lrn_tech · 40,559
Telegram ranks this channel #17 of 34 here — alongside 33 others — read 30 August 2026
Learn Programming تعلم البرمجة
@SuDevelopers · 27,056
Telegram ranks this channel #18 of 60 here — alongside 59 others — read 11 September 2026
FREE4ARAB
@Free4arab1 · 25,390
Telegram ranks this channel #21 of 37 here — alongside 36 others — read 14 September 2026
ادوات الذكاء الاصطناعي🧠🤖 Ai tools
@lrnai · 27,424
Telegram ranks this channel #24 of 39 here — alongside 38 others — read 11 September 2026
️Cyber Security Sharks️
@CyberSecurityforall24 · 34,822
Telegram ranks this channel #27 of 37 here — alongside 36 others — read 3 September 2026
ProgrammingAdvices - Channel
@ProgrammingAdvices · 45,086
Telegram ranks this channel #30 of 65 here — alongside 64 others — read 30 August 2026
برمجة وتطوير
@pro2dev · 40,454
Telegram ranks this channel #31 of 64 here — alongside 63 others — read 30 August 2026
tawzeefy | توظيفي
@tawzeefy · 55,085
Telegram ranks this channel #39 of 60 here — alongside 59 others — read 24 August 2026
شباب بتساعد شباب
@shbab_btsad_shbab · 53,791
Telegram ranks this channel #39 of 81 here — alongside 80 others — read 24 August 2026

This channel appears in 12 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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“بروفيسور التكنولوجيا” (@Professor_Technology), 17,583 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/Professor_Technology.

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.