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Channel

ادوات الذكاء الاصطناعي🧠🤖 Ai tools

@lrnai

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

28,089subscribers

+956 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001877123568
TypeChannel
Username@lrnai
Descriptionقناة AI Tools مساحة عربية متخصصة لمشاركة أحدث أدوات الذكاء الاصطناعي، شروحات عملية، ودورات مجانية تساعدك على التعلم والتطبيق . > هدفها بناء مجتمع عربي واعٍ بالتقنية، حيث يلتقي الإبداع الإنساني بالذكاء الاصطناعي لصناعة مستقبل أفضل. Admin : @xbiidx
CreatedBetween 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live10 November 2026
Measurements held62
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/lrnai

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 10 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 3 other registered channels. This entry also sits inside a group of 3 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. 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
@fa_tv/349445 Aug 2026, 10:52 UTC@lrnai/3089 · this entry8 Aug 2026, 15:00 UTC1.003 days
@fa_tv/353832 Oct 2026, 05:16 UTC@lrnai/3177 · this entry2 Oct 2026, 09:39 UTC1.004.4 hours
@fa_tv/353923 Oct 2026, 08:50 UTC@lrnai/3184 · this entry5 Oct 2026, 17:55 UTC1.002 days
@fa_tv/3546212 Oct 2026, 15:36 UTC@lrnai/3214 · this entry13 Oct 2026, 19:42 UTC1.0028 hours
@fa_tv/354197 Oct 2026, 05:56 UTC@lrnai/3232 · this entry19 Oct 2026, 18:43 UTC1.0013 days
@fa_tv/3551819 Oct 2026, 16:36 UTC@lrnai/3234 · this entry20 Oct 2026, 13:22 UTC1.0021 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
@fa_tv16 (8/8 hand-verifiable sample passed)1.0038 hours@fa_tv (16–0)
@deepwebmarocofficial16 (8/8 hand-verifiable sample passed)1.0029 hours@deepwebmarocofficial (16–0)
@CCDbo15 (5/5 hand-verifiable sample passed)1.008 minutesthis entry (5–0)

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. 31 of the 32 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 190 comparable posts for this entry, running 2 August 2026 to 11 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 3 channels, the one whose matching posts we hold earliest is @lrnai — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_source, 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 3 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. 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

27,13028,08927,609.57 August 202610 November 2026
62 measurements spanning 95 days, net +956. 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 26,986–28,233 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 62
Measured (UTC)SubscribersChange
10 Nov 2026, 11:1128,089+33
8 Nov 2026, 22:3828,056+34
7 Nov 2026, 14:4728,022+7
6 Nov 2026, 14:2928,015+19
5 Nov 2026, 15:5627,996+24
4 Nov 2026, 12:3827,972+57
3 Nov 2026, 13:5927,915-2
2 Nov 2026, 12:3927,917+5
1 Nov 2026, 11:2827,912-9
31 Oct 2026, 10:2027,921-7
30 Oct 2026, 08:5627,928-2
29 Oct 2026, 10:1927,930-1
27 Oct 2026, 09:1727,931+4
26 Oct 2026, 08:3727,927-4
25 Oct 2026, 12:0627,931-7
24 Oct 2026, 09:2827,938+5
23 Oct 2026, 07:1727,933+6
22 Oct 2026, 07:3827,927+8
21 Oct 2026, 00:5627,919+11
20 Oct 2026, 01:0627,908first reading

Engagement

228 posts held, back to 2 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 157 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
6.79%
avg views ÷ 28,089 subscribers
Avg views / post
1,910
102 posts measured
Reaction rate
1.01%
reactions ÷ views · ER floor
Posts in window
105
of 228 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 11 November 2026
Posts held228 (2 August 2026 – 11 November 2026)
Views total194,575
Reactions total1,960
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Nov 2026, 02:40 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
≈1,800
Videos
≈171
Links
≈1,310

Lifetime counters from Telegram’s own channel header, read 12 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
5m 00s
Average length
38s

Measured directly from 8 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

4,059 reactions across 225 posts, in 20 distinct kinds. The most used accounts for 77.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤3,15477.7%
👍2014.95%
👏1333.28%
🔥1162.86%
🏆912.24%
👨‍💻812.00%
🤩631.55%
🫡621.53%
💯581.43%
😍310.764%
👌180.443%
🐳140.345%
🥰110.271%
🕊80.197%
✍60.148%
🎉50.123%
⚡30.074%
🙏20.049%
🆒10.025%
🤝10.025%

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 225 of the 228 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 4,059 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 228 most recent posts we hold, published 2 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
3
of 225 we hold a reading for · 1%
Most on one post
11
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @lrnai. 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 228 most recent posts we hold for this entry, published 2 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: 3 of 105 posts held from the last 30 days (2.86%) 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, 22:29 UTC270 views4 reactionsread 12 November 2026
Photo

كم تدفع شركات التكنولوجيا لحماية رؤسائها التنفيذيين؟ Anthropic - إنفاق حوالي 2.75 مليون دولار لحماية داريو أمودي خلال 2025 - إنفاق حوالي 1.29 مليون دولار لحماية دانييلا أمودي

❤4

11 Nov 2026, 17:57 UTC690 views5 reactionsread 12 November 2026

مهم من Anthropic للشركات والفرق التقنية: أطلقت Anthropic خدمة OSS Scanner المجانية لفحص المشاريع مفتوحة المصدر (Open Source) بحثًا عن الثغرات الأمنية باستخدام أقوى نماذجها (بما فيها Claude Mythos). الخدمة ممتازة وعملية في الاختبارات الأولية كانت دقة النتائج عالية جدًا (حوالي 88% من الثغرات الحرجة كانت حقيقية) وهذا يساعد على اكتشاف الثغرات بسرعة قبل أن يستغلها المهاجمون (خاصة مع سرعة تطوير الاستغلالات حاليًا). التس…

❤5

11 Nov 2026, 10:55 UTC≈1,180 views15 reactionsread 12 November 2026
Photo

موديل Gemini 4 Carbon و Fable 5.2 مجاناً لفترة محدودة الرابط : Link 🔗 https://platform.respan.ai/platform/models/gemini-4-carbon BY | https://t.me/lrnai قناة الاحتياطية 🔰 https://t.me/ai_bw التفاعل ⬅️ الإستمرارية🔥

❤11👏2👨‍💻1🫡1

11 Nov 2026, 00:40 UTC≈1,120 views12 reactionsread 12 November 2026
Photo

تعلم الذكاء الاصطناعي مجاناً مباشرة من الشركات الرائدة : 𝟭 ـ 𝗔𝗻𝘁𝗵𝗿𝗼𝗽𝗶𝗰: ـ https://anthropic.skilljar.com 𝟮 ـ 𝗚𝗼𝗼𝗴𝗹𝗲: ـ https://grow.google/ai 𝟯 ـ 𝗠𝗲𝘁𝗮: ـ https://ai.meta.com/resources 𝟰 ـ 𝗡𝗩𝗜𝗗𝗜𝗔: ـ https://developer.nvidia.com/cuda 𝟱 ـ 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁: ـ https://learn.microsoft.com/en-us/training BY | https://t.me/lrnai قناة الاحتياطية 🔰 https://t.me/ai_bw التفاعل ⬅️ الإستمرارية🔥

❤5🤩3🔥2👏1👨‍💻1

10 Nov 2026, 11:16 UTC965 views16 reactionsread 12 November 2026
Forwarded from @ai_vuPhoto

⚡ ☁️ هذا عرض AWS Free Tier يعطيك 200$ خدمات. للناس لي تحتاج سيرفر Linux أو RDP Windows مجاناً لمدة 6 أشهر. العرض تحصل عليه بسهولة بمجرد التسجيل و إضافة بطاقة دفع صالحة ويقبل أي بطاقة مثل Redotpay أو Bybit اذا تريد تسجل حساب redotpay تسجل من ربطي : https://url.hk/i/en/bcek8 تفاصيل على البطاقة : https://t.me/ai_vu/24 ملاحظة مهمة انصحكم بشدة تفعلو بطاقة redotpay لان فيها مميزات لا كبيرة جدا تنفعكم في مثل هذه العروض و…

❤6👏5💯2🏆1👍1👨‍💻1

9 Nov 2026, 22:16 UTC≈1,430 views15 reactionsread 12 November 2026
Photo

اللي ما يستغل أدوات الذكاء الاصطناعي اليوم .. بكرة يلاقي نفسه متأخر أميال. 1ـ http://Beautiful.ai يصمم عروض تقديمية احترافية تلقائيا. 2ـ http://Canva.com لتصميم الصور والهويات البصرية والمحتوى التسويقي 3ـ http://KlingAI.com لتوليد فيديوهات سينمائية واقعية من النصوص والصور. 4ـ http://CapCut.com لتحرير الفيديوهات وإضافة المؤثرات والترجمة تلقائيًا. 5ـ http://Synthesia.io لإنشاء فيديوهات بشخصيات افتراضية تتحدث …

❤10🏆2👏2🤩1

9 Nov 2026, 10:57 UTC≈1,650 views16 reactionsread 12 November 2026
Photo

Kozu Frame 🎬 محرر فيديو بالذكاء الاصطناعي لماك وويندوز — التوليد والمونتاج في نفس المكان: اللقطات المولّدة بتنزل على التايم لاين جنب الفيديو الحقيقي مباشرة. الفكرة الأساسية إن الموديلات بتشتغل على جهازك نفسه: توليد الصور والفيديو والموسيقى، وفهرسة اللقطات وتفريغ النصوص، كله محليًا وأوفلاين وبدون كريديت. ولو عايز موديلات الحدود الأمامية زي Seedance أو Kling، هتلاقيها متاحة برضه من نفس الواجهة. اللي يميزه فعلًا: إنه…

❤9👏2💯2👍1👨‍💻1🤩1

9 Nov 2026, 00:03 UTC≈1,580 views20 reactionsread 12 November 2026

🔴 موجة إختراقات تضرب بنوك العالم 😬🏴‍☠️ في يوم واحد فقط .. تم تسجيل 210 ألف هجوم سيبراني على بنوك إندونيسيا !! خلال 24 ساعة فقط تعرضت البنوك وشركات التمويل والتأمين في إندونيسيا لنحو 210 آلاف هجوم إلكتروني من أصل 439 ألف هجوم جرى رصدها على مستوى البلاد.. تقريباً نصف الهجمات استهدفت القطاع المالي وحده .. هذا بخلاف اللي صار في فرنسا وماليزيا وفيتنام !!

❤14👨‍💻2🏆1👍1🔥1🤩1

8 Nov 2026, 17:50 UTC≈2,050 views24 reactionsread 12 November 2026
Photo

كتابة البحوث باللغة الإنجليزية؛ كتاب مرجعي مفيد للطلاب والباحثين سعر الكتاب: 40$ رابط الكتاب مجاناً: Free book https://drive.google.com/file/d/1S3dT18ARDp0pZr_VvtVXUBs62dEku6zv BY | https://t.me/lrnai قناة الاحتياطية 🔰 https://t.me/ai_bw التفاعل ⬅️ الإستمرارية🔥

👍11❤8🏆1👨‍💻1💯1🔥1😍1

7 Nov 2026, 21:17 UTC≈2,630 views91 reactions11 Starsread 12 November 2026

تخيل ان المحتوى لي نقدم لكم ، يوجد من يعمل قنوات مدفوعة لينشر مثلها و رغم ذلك لا اجد تفاعل كبير مع المنشورات 😌

❤54👏8💯6🫡6😍4🏆3👨‍💻3👌2

7 Nov 2026, 18:08 UTC≈2,670 views74 reactionsread 12 November 2026
Photo

نموذج Kimi K3.1 Pro مجاناً من NVIDIA تفاعلو مع هذا المنشور جيدا لنرى هل يوجد مهتمين ذاخل القناة Link: https://build.nvidia.com/moonshotai/kimi-k3_1-pro/playground BY | https://t.me/lrnai قناة الاحتياطية 🔰 https://t.me/ai_bw التفاعل ⬅️ الإستمرارية🔥

❤48🫡8🔥6👍5🤩2✍1👌1👏1

7 Nov 2026, 14:54 UTC≈2,020 views11 reactionsread 12 November 2026
Photo

تعبت من اشتراكات Notion ونفاد رصيد الذكاء الاصطناعي (AI Credits) والقوائم الجانبية المعقدة؟ 👋❌ إليك الحل الأبسط والأقوى: إطلاق مشروع Terminus Notes بديل حر ومفتوح المصدر 100% يمنحك أفضل مميزات Notion بدون أي تعقيدات! 🤯📝 💡 ما الذي يميّز Terminus Notes؟ 🆓 مجاني ومفتوح المصدر 100%: بدون خطط مدفوعة أو قيود خفية. 🔓 ملكية كاملة لبياناتك: تصدير بياناتك بسهولة في أي وقت أو ربطها مباشرة بنماذج AI الخاصة بك مثل Claude. ⚡ …

❤6🏆2👏1💯1🥰1

Showing the 12 most recent of 228 posts we hold for @lrnai. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Posts recorded as deleted after publishing

We recorded 4 posts on @lrnai 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
25 August 2026
Most recent seen missing
16 October 2026
Median time before seen missing
27 hours
Seen missing in the last 30 days
2

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.

Mentions

Named by 2 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.

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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

Lrntech
@lrn_tech · 39,770
#1
خزانه الكتب
@pdfxbookx · 14,042
#2
تحفيزات يومية
@mabxu · 3,435 (as read 11 September 2026)
#3
كورسات COURSES META
@corses3 · 86,653
#4
ACADEMIE N1⚜️
@ACADEMIE_N1 · 17,125
#5
الذكاء الاصطناعي بالعربية
@Ai_Arabic1 · 59,868
#6
رؤى الذكاء الاصطناعي
@AI_Insights1 · 9,243
#7
Empire Of Courses🏰
@EmpireFreelance · 16,414
#8
البرمجة و الذكاء الإصطناعي
@artificial_AI_intelligence · 11,334
#9
​أدوات وأخبار الذكاء الاصطناعي | AI Tools & News
@fa_tv · 30,553
#10
الذكاء الاصطناعي للجميع
@AIfor1Designers · 10,082
#11
WinDroid HUB
@WinDroidHQ · 13,563
#12
أخبار الذكاء الاصطناعي عالمياً
@Ai_News_Arabic · 3,750
#13
Digital Profit Lab
@Digital_Profit_Lab · 5,190
#14
هدف للتسويق الإلكتروني
@hadaf_marketing · 2,742
#15
Aqua web | أكوا ويب
@aqweeb · 22,379
#16
ساحر الكريبتو | توصيات فيوتشر - سبوت
@Crypto_p4p · 16,554
#17
Abdullah Darras - عبدالله درّس
@abdulladarras · 3,942
#18
AI tools | ادوات الذكاء الصناعي
@TopAItool · 6,695
#19
Mohamed A. Ansary
@mohamedansary1 · 18,927
#20
ادوات الذكاء الاصطناعي OpenAI | ChatGPT |Ai Tools
@ma_net1 · 14,198
#21
GNT
@global_network_team · 13,628
#22
Courses Udemy For Free !
@Courses_Udemy_Free1 · 13,181
#23
بروفيسور التكنولوجيا
@Professor_Technology · 18,281
#24
📙 المكتبة العامة 📚
@lib4all · 6,219
#25
cryptomab 💲🐋
@cryptomab · 11,169
#26
Cryptoland - كريبتولاند
@cryptoland_ar · 5,288
#27
اخبار الكريبطو 💸 Cryptonews
@crypto_ton_bots · 2,824
#28
OneCube
@OneCubeDev · 16,328
#29
Koulchi Fabour كلشي فابور
@koulchifabour · 14,201
#30
حيتان العرب - Arabic Whales
@Arabicwhalesnews · 15,013
#31
The World of Network🇵🇸
@Network_Cybeer · 19,188
#32
Premium Mockups
@premiummockups1 · 6,781
#33
كورسات تداول مدفوعة مجانا
@corses33 · 10,502
#34
ملوك التقنيه King's of Tech 〽️🌏🔥
@tagowom9770 · 32,919
#35
𝐌𝐀𝐑𝐊𝐄𝐓𝐈𝐍𝐆 𝐆𝐔𝐑𝐔𝐒
@MarketingGurus23 · 8,331
#36
Nano Banana Ai - Freepik Premium | قناة الباش مصمم
@omar_bayaa · 5,848
#37
AYA TRADING
@learnforfreemaroc · 6,762
#38
Free : Gift nft stickers
@earnxbtc · 1,008
#39

Read from Telegram’s recommendation API, most recently 11 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

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.

​أدوات وأخبار الذكاء الاصطناعي | AI Tools & News
@fa_tv · 30,553
Telegram ranks this channel #1 of 45 here — alongside 44 others — read 5 September 2026
Lrntech
@lrn_tech · 39,770
Telegram ranks this channel #2 of 34 here — alongside 33 others — read 30 August 2026
الذكاء الاصطناعي بالعربية
@Ai_Arabic1 · 59,868
Telegram ranks this channel #5 of 83 here — alongside 82 others — read 23 August 2026
Fedniy . فدني
@fedniy · 243,595
Telegram ranks this channel #12 of 73 here — alongside 72 others — read 10 August 2026
كودرز | Coders 👨🏻‍💻
@SAMI_AIB · 172,671
Telegram ranks this channel #13 of 48 here — alongside 47 others — read 12 August 2026
ملوك التقنيه King's of Tech 〽️🌏🔥
@tagowom9770 · 32,919
Telegram ranks this channel #15 of 26 here — alongside 25 others — read 3 September 2026
EduMeFree
@edumefree2022 · 354,740
Telegram ranks this channel #18 of 65 here — alongside 64 others — read 10 August 2026
Manjmy منجمى
@manjmy · 397,302
Telegram ranks this channel #20 of 62 here — alongside 61 others — read 10 August 2026
Free Courses & Books 📚
@Coursat2020 · 510,364
Telegram ranks this channel #21 of 62 here — alongside 61 others — read 10 August 2026
انشاء صور وفيديوهات بالذكاء الاصطناعي - نادي القراءة
@prccourses · 35,868
Telegram ranks this channel #22 of 54 here — alongside 53 others — read 1 September 2026
مكتبة الكتب _ كتب Pdf _ علم نفس _ تحفيز_تطوير_الشخصية
@B0Ok_MB · 38,429
Telegram ranks this channel #22 of 49 here — alongside 48 others — read 30 August 2026
معارف - مصادر تعليمية في كل المجالات
@m3aarf · 337,887
Telegram ranks this channel #22 of 71 here — alongside 70 others — read 10 August 2026
عالم التقنية
@techwd · 27,133
Telegram ranks this channel #24 of 78 here — alongside 77 others — read 10 September 2026
دليل و مجالات الربح من الانترنت
@m3_freelance · 38,392
Telegram ranks this channel #28 of 64 here — alongside 63 others — read 30 August 2026
Oussamadcsi _ برمجة و تطوير الذات
@codingbasics · 21,635
Telegram ranks this channel #31 of 59 here — alongside 58 others — read 21 September 2026
تقنية معلومات It
@IT_soft22 · 52,087
Telegram ranks this channel #31 of 56 here — alongside 55 others — read 24 August 2026
تعلم البرمجة
@oBarmej · 225,185
Telegram ranks this channel #32 of 42 here — alongside 41 others — read 11 August 2026
علوم و تقنيات | Arabes1.com
@arabes1 · 22,017
Telegram ranks this channel #34 of 59 here — alongside 58 others — read 23 September 2026
كتب pdf _ مكتبة عطر الإلكترونية
@Etr_MB · 110,284
Telegram ranks this channel #34 of 63 here — alongside 62 others — read 14 August 2026
كتابي المُفضّلpdf 📚
@mybook_z · 68,315
Telegram ranks this channel #35 of 83 here — alongside 82 others — read 20 August 2026
علم ينتفع به
@elmuntafbeh · 168,338
Telegram ranks this channel #35 of 78 here — alongside 77 others — read 12 August 2026
كشكول اونلاين
@kashkolonline · 106,459
Telegram ranks this channel #36 of 70 here — alongside 69 others — read 14 August 2026
بحر الكتب العلمية
@librarypdf1 · 452,360
Telegram ranks this channel #42 of 72 here — alongside 71 others — read 10 August 2026
zedniy
@zedniiy · 114,281
Telegram ranks this channel #43 of 69 here — alongside 68 others — read 14 August 2026

This channel appears in 34 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“ادوات الذكاء الاصطناعي🧠🤖 Ai tools” (@lrnai), 28,089 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/lrnai.

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.