🇸🇦💚 بمناسبة اليوم الوطني السعودي الـ96 نهنئ الشعب السعودي بهذه المناسبة الغالية، ونشارككم الاحتفاء بوطنٍ جعل الطموح والابتكار والتقنية جزءًا من صناعة مستقبله.
❤11

Channel
@Ai_Arabic1
On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cite this entry
57,981subscribers
+715 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001939566699 |
|---|---|
| Type | Channel |
| Username | @Ai_Arabic1 |
| Description | بوابتك الأولى للحصول على أفضل المواقع التي تعمل بالذكاء الاصطناعي .. بشكل يومي 🔥 للتواصل : [email protected] |
| Created | Between 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 34 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/Ai_Arabic1 |
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 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 why it has no browse page of its own yet.
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.
Posts published here appear word for word on 1 other registered channel. They sit inside a group of 4 channels that share the same post bodies 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.
| Posted first | Then | Overlap | Gap |
|---|---|---|---|
| @Ai_Arabic1/1641 · this entry27 Jul 2026, 11:53 UTC | @r_rwi/424727 Jul 2026, 13:56 UTC | 1.00 | 2.0 hours |
| @Ai_Arabic1/1642 · this entry28 Jul 2026, 11:15 UTC | @r_rwi/424928 Jul 2026, 13:03 UTC | 1.00 | 1.8 hours |
| @Ai_Arabic1/1648 · this entry30 Jul 2026, 09:19 UTC | @r_rwi/425330 Jul 2026, 12:14 UTC | 1.00 | 2.9 hours |
| @Ai_Arabic1/1652 · this entry3 Aug 2026, 10:13 UTC | @r_rwi/42603 Aug 2026, 12:52 UTC | 1.00 | 2.7 hours |
| @Ai_Arabic1/1655 · this entry4 Aug 2026, 18:53 UTC | @r_rwi/42756 Aug 2026, 16:44 UTC | 1.00 | 46 hours |
| Channel | Matching posts | Text overlap | Typical gap | Published first |
|---|---|---|---|---|
| @r_rwi | 5 (5/5 hand-verifiable sample passed) | 1.00 | 2.7 hours | this 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. None of the 0 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 20 comparable posts for this entry, running 25 July 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.
Across the whole group of 4, the earliest publisher we hold is @r_rwi. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_source, last confirmed 8 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.
This channel’s posts match, word for word or near enough, posts on 3 other registered channels, 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 23:56 | 57,981 | +82 |
| 16 Sept 2026, 18:16 | 57,899 | +31 |
| 14 Sept 2026, 23:41 | 57,868 | +25 |
| 13 Sept 2026, 09:36 | 57,843 | +30 |
| 11 Sept 2026, 12:57 | 57,813 | +10 |
| 8 Sept 2026, 18:39 | 57,803 | +28 |
| 5 Sept 2026, 13:39 | 57,775 | +45 |
| 3 Sept 2026, 15:37 | 57,730 | +20 |
| 2 Sept 2026, 09:13 | 57,710 | +2 |
| 1 Sept 2026, 11:47 | 57,708 | -4 |
| 31 Aug 2026, 09:28 | 57,712 | +13 |
| 30 Aug 2026, 06:39 | 57,699 | +34 |
| 29 Aug 2026, 08:32 | 57,665 | +23 |
| 28 Aug 2026, 11:24 | 57,642 | +26 |
| 27 Aug 2026, 09:58 | 57,616 | +9 |
| 26 Aug 2026, 09:02 | 57,607 | -31 |
| 25 Aug 2026, 10:22 | 57,638 | -1 |
| 24 Aug 2026, 11:55 | 57,639 | +14 |
| 22 Aug 2026, 16:55 | 57,625 | +37 |
| 21 Aug 2026, 10:13 | 57,588 | first reading |
95 posts held, back to 25 July 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 99 pages of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 23 September 2026 |
|---|---|
| Posts held | 95 (25 July 2026 – 23 September 2026) |
| Views total | 256,198 |
| Reactions total | 779 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 23 Sept 2026, 15:25 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.
Lifetime counters from Telegram’s own channel header, read 23 September 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.
Measured directly from 22 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.
1,649 reactions across 95 posts, in 12 distinct kinds. The most used accounts for 73.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1,210 | 73.4% | |
| 👍 | 179 | 10.9% | |
| 🔥 | 162 | 9.82% | |
| 👏 | 44 | 2.67% | |
| 🤯 | 14 | 0.849% | |
| 🤔 | 12 | 0.728% | |
| 👌 | 11 | 0.667% | |
| 😁 | 7 | 0.424% | |
| 😱 | 5 | 0.303% | |
| 🥰 | 3 | 0.182% | |
| 😢 | 1 | 0.061% | |
| 🤩 | 1 | 0.061% |
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 95 of the 95 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 1,649 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 95 most recent posts we hold, published 25 July 2026 to 23 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @Ai_Arabic1. 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 95 most recent posts we hold for this entry, published 25 July 2026 to 23 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.
🇸🇦💚 بمناسبة اليوم الوطني السعودي الـ96 نهنئ الشعب السعودي بهذه المناسبة الغالية، ونشارككم الاحتفاء بوطنٍ جعل الطموح والابتكار والتقنية جزءًا من صناعة مستقبله.
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1ـ http://Claude.ai (حل أي مشكلة) 2ـ http://Remove.bg (إزالة الخلفيات) 3ـ http://Perplexity.ai (البحث في أي شيء) 4ـ http://Suno.ai (تأليف الموسيقى) 5ـ http://Lovart.com (تصميم الرسومات) 6ـ http://Voicebox.sh (استنساخ الأصوات) 7ـ http://Notebooklm.google (نوتة مثالية) 8ـ http://Youmind.com (تلخيص يوتيوب) 9ـ http://Runway.ml (تحرير الفيديوهات) 10ـ https://generateprompt.ai (توليد أوامر احترافية) 11ـ…
❤16👍4
1. 🔎 البحث مدفوع: ChatGPT → مجاني: DeepSeek 2. 🎥 فيديو الذكاء الاصطناعي مدفوع: HeyGen → مجاني: AirMore AI 3. 🎨 التصميم مدفوع: Canva → مجاني: Photopea 4. 🖼 توليد الصور مدفوع: Midjourney → مجاني: Leonardo AI 5. 💻 البرمجة مدفوع: Cursor → مجاني: Codeium 6. 📊 العروض التقديمية مدفوع: Gamma → مجاني: Slidesgo 7. 🎙 استنساخ الصوت مدفوع: ElevenLabs → مجاني: PlayHT 8. 🎬 تحرير الفيديو مدفوع: Runway …
❤6
🚨 سوينا تطبيق حقيقي لحجز مواعيد عيادات الأسنان بالسعودية .. في أقل من 4 دقائق !! استخدمنا منصة Whacka ـ https://via.whacka.app/whacka_vid2 ❌ بدون برمجة ❌ بدون Google Play ❌ بدون Apple Store فقط وصفنا الفكرة داخل الدردشة و Whacka عمل كل شي.
👏8🔥3👍2🤯1
4 كلمات فقط، رفعت نتائج الذكاء الاصطناعي إلى 78% 🤯👇 ـ https://app.generateprompt.ai
🔥6👍2
Video, posted without a caption
❤6
أغلب الناس إذا سمعوا كلمة ذكاء اصطناعي على طول يفكرون في ChatGPT.❌ لكن الموضوع أكبر بكثير. ـ ChatGPT هو الجزء اللي تشوفه قدامك، لكن تحت السطح فيه منظومة ضخمة جدًا من الأدوات والتقنيات اللي قاعدة تبني الجيل الجديد من تطبيقات الذكاء الاصطناعي. خريطة الـ AI Stack اليوم فيها أكثر من 100 أداة وتقنية، وكل وحدة لها دور مختلف. مثلًا:🔽 النماذج اللغوية: ـ OpenAI، Claude، Gemini، Llama، Mistral الوكلاء الذكيون: ـ LangGra…
❤9👍1🔥1
1ـ GeneratePrompt.ai : توليد برومبت الفيديوهات 2ـ Brainbubbles.app : إنشاء رسوم متحركة للأطفال 3ـ Descript.com : محرر فيديو بالذكاء الاصطناعي 4ـ RunwayML.com : توليد الفيديو بالذكاء الاصطناعي 5ـ Pictory.ai : تحويل النص إلى فيديو 6ـ OpusClip.com : تحويل الفيديوهات الطويلة لـ قصيرة 7ـ Wisecut.ai : تقطيع الفيديو تلقائياً 8ـ Veed.io : محرر فيديو أونلاين 9ـ Kapwing.com : استوديو فيديو لمنصات التواصل 10ـ Synthesia.io : فيد…
❤7
50 أداة ذكاء اصطناعي يمكنها تغيير أسلوب عملك 🔥 1ـ ChatGPT 2ـ Claude 3ـ Gemini 4ـ Grok 5ـ Perplexity 6ـ DeepSeek 7ـ Microsoft Copilot 8ـ Meta AI 9ـ NotebookLM 10ـ Poe 11ـ Reve 12ـ Midjourney 13ـ Ideogram 14ـ Leonardo AI 15ـ Adobe Firefly 16ـ Krea AI 17ـ Canva AI 18ـ Freepik AI 19ـ Stable Diffusion 20ـ Flux 21ـ Runway 22ـ Kling AI 23ـ Veo 24ـ Sora 25ـ HeyGen 26ـ Synthesia 27ـ Pika 28ـ Luma A…
❤15👍5
🤯 11 أداة ذكاء اصطناعي قوية ما أخذت حقها من الشهرة: 1ـ Hedra ـ http://hedra.com — صناعة فيديوهات وشخصيات بالذكاء الاصطناعي. 2ـ Recraft ـ http://recraft.ai — إنشاء الصور والتصاميم والهوية البصرية باحتراف. 3ـ Websim ـ http://websim.com — تحويل فكرتك إلى موقع أو تجربة تفاعلية بمجرد وصفها. 4ـ Rork ـ http://rork.com — بناء تطبيقات جوال بالذكاء الاصطناعي. 5ـ Zed ـ http://zed.dev — محرر برمجي سريع للعمل مع وكلاء الذكاء…
❤12
🔥 6 أدوات للذكاء الاصطناعي ضروري تجربها !! ـ Chat GPT حل أي شيء بشكل سريع ـ Appypie Ai إنشاء مواقع بدون برمجة ـ generateprompt ai إنشاء أوامر احترافية ـ Blink Ai إنشاء التسميات التوضيحية تلقائيا ـ Podcastle Ai تسجيل البودكاست بسهولة ـ Colossyan Ai تحويل النص إلى الفيديو
👍7❤5🔥2
مواقع ذكاء إصطناعي راح تتمنى لو عرفتها سابقاً : 1ـ futuretools.io : اكتشف أدوات الذكاء الاصطناعي المفيدة 2ـ theresanaiforthat.com : ابحث عن أدوات الذكاء الاصطناعي لتقريبًا أي شيء 3ـ aitools.fyi : استكشف أدوات وتطبيقات الذكاء الاصطناعي 4ـ huggingface.co/spaces : جرب عروض توضيحية مبنية من المجتمع للذكاء الاصطناعي 5ـ replicate.com : شغّل نماذج الذكاء الاصطناعي عبر الإنترنت 6ـ runwayml.com : أدوات فيديو وإبدا…
❤13👍1
Showing the 12 most recent of 95 posts we hold for @Ai_Arabic1. 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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.
Read from Telegram’s recommendation API, most recently 23 August 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.
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.
This channel appears in 15 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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.
“الذكاء الاصطناعي بالعربية” (@Ai_Arabic1), 57,981 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/Ai_Arabic1.
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.