Channel
@datkair
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Handles named that no longer answer · Cite this entry
2,120subscribers
-135 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001835529744 |
|---|---|
| Type | Channel |
| Username | @datkair |
| Created | Between 1 October 2022 and 31 August 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/datkair |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 11:08 | 2,120 | -63 |
| 9 Aug 2026, 15:17 | 2,183 | -54 |
| 6 Aug 2026, 21:49 | 2,237 | -18 |
| 6 Aug 2026, 06:02 | 2,255 | no change |
| 6 Aug 2026, 05:34 | 2,255 | first reading |
24 posts held, back to 30 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 2 pagesof 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. It is computed over the 2 of 24 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 24 (30 July 2026 – 7 August 2026) |
| Views total | 717 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 16:46 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.
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.
🎬 پرامپت استایل بستن شال کوفیه (سینمایی) Preserve the reference woman's face and identity exactly. Create an ultra-realistic cinematic close-up portrait of the reference woman with long, thick, dark curly hair. She wears a black and white keffiyeh tied as a bandana with loose fringes. She has thick eyebrows, deep brown eyes looking to the right with a calm and determined expression, defined cheekbones, and natural s…
حذف قابلیت تولید تصویر در Google Maps گوگل قابلیت تولید تصویر با هوش مصنوعی رو به Google Maps اضافه کرد و فقط بعد از ۲۴ ساعت مجبور شد غیرفعالش کنه. ظاهراً وقتی به کاربرا اجازه میدی هر چیزی رو با هوش مصنوعی تولید کنن، نتیجهاش دقیقاً همون چیزی میشه که انتظارش میره. 🤖 آینده همینجاست. اخبار داغ AI در: 🚀 @datkair
🟡هوش مصنوعی «لوما دریم ماشین» Luma Dream Machine یک ابزار انقلابی برای تبدیل متن و عکس به ویدیوهای فوقواقعگرایانه و سینمایی است. ⌛ این هوش مصنوعی میتواند در چند ثانیه، تخیلات شما را با کیفیت بسیار بالا و فیزیک طبیعی به حرکت درآورد. طراحان، تدوینگران و تولیدکنندگان محتوا با این ابزار میتوانند بدون نیاز به تجهیزات فیلمبرداری، صحنههای پیچیده و خلاقانه بسازند و سرعت تولید ویدیو را به شدت افزایش دهند. آدرس سایت: …
تجربه خرید Codex Micro بالاخره Codex Micro از OpenAI رسید. ۲۳۰ دلار برای چیزی دادم که عملاً هیچ کاربرد خاصی نداره. گول ظاهرش رو نخورید؛ همون قابلیتی که این دستگاه میده رو میتونید خیلی راحت با زدن کلید CMD سمت راست روی کیبورد مکبوک فعال کنید و نیازی به خرید این سختافزار نیست. ☕️🤖 خبرای مهم هوش مصنوعی☕ @datkair #هوش_مصنوعي #ترفند_کاربردی
📌 دیگه نیازی نیست هر بار از اول عکس بسازی! 🖼✨ یکی از بزرگترین دردسرهای همیشگی موقع ساختن عکس با هوش مصنوعی این بود که آخر کار فقط یک تصویر ثابت تحویل میگرفتیم. یعنی اگر توی عکس یک غلط املایی بود یا فقط میخواستی رنگ یک بخش را عوض کنی، راهی جز ساختن دوباره کل تصویر نداشتی. این کار هم ترکیببندی عکس را تغییر میداد، هم سهمیه روزانهات را خیلی زود تمام میکرد. اما یک راه ساده وجود دارد که میتوانی همان تصویر را به صو…
تاریخ تکرار میشه: اعتراض به ماشینحساب سال ۱۹۸۶ در واشنگتن، گروهی از معلمهای ریاضی در کنفرانس National Council of Teachers of Mathematics علیه استفاده زودهنگام از ماشینحساب در مدارس ابتدایی اعتراض کردن. John Saxon که خودش نویسنده کتابهای درسی بود، معتقد بود این ابزار باعث میشه نسل جدید توانایی فکر کردن مستقل رو از دست بده. حالا بعد از ۴۰ سال، دقیقاً همین حرفها رو درباره AI میشنویم. @datkair #هوش_مصنوعي #…
📌 بهجای یک جواب، ۵ جواب متفاوت از هوش مصنوعی بگیر! 🧠⚡️ خیلی وقتها اولین پاسخ هوش مصنوعی، بهترین پاسخ نیست. با یک ترفند ساده میتونی از چند زاویه مختلف به مسئله نگاه کنی و بهترین راهحل رو انتخاب کنی. چطور کار میکند؟ فقط کافی است در انتهای پرامپت خود، این جمله را اضافه کنید: Before answering, generate 5 completely different approaches. Compare their strengths and weaknesses, then choose the best one and explain…
Use my photo as face reference. Ultra-realistic iPhone 17 Pro Max 9:16 fashion photo. Woman at a seaside railing, wearing a red one-shoulder top, black high-waisted jeans, belt and small chain bag. Long straight hair, sunglasses, gold jewelry, nude nails. Sunny daylight, natural HDR, realistic skin texture, detailed fashion lifestyle style. @daykair
انتشار مدل ویدیوساز Seedance 2.5 بایتدنس مدل جدید Seedance 2.5 رو معرفی کرده که تمرکز اصلیش روی قابلیت One-Take Creation و رفرنسدهی منعطفه. این مدل که بخشی از اکوسیستم Dreamina و پلتفرمهای ویدیویی بایتدنسه، برای تولید محتوای ویدیویی کوتاه بهینه شده. تغییرات کلیدی شامل بهبود کنترل روی حرکات دوربین، ثبات کاراکتر و هماهنگی بهتر با پرامپتهای متنیه. این مدل از طریق API های Volcengine و BytePlus در دسترس توسع…
Flux 3 حسابی غافلگیرکننده است این مدل جدید با یه پرامپت، ویدیوهای ۲۰ ثانیهای با تدوین خودکار میسازه. کیفیت صدا هم خوبه و چون نیازی به lip-sync نداره، خروجی نهایی تمیز درمیاد. خیلیها منتظر Sora بودن ولی فعلاً Flux 3 حسابی سروصدا کرده. اگه به نسخه بتا دسترسی دارید، تجربهتون رو بگید. https://x.com/venturetwins/status/2081515687944822800?s=20 ⚡🤖 آینده همینجاست. اخبار داغ AI در: 🚀 @datkair
📌 غول ۲.۸ تریلیون پارامتری متنباز رسماً در دسترس همه قرار گرفت! 🤯 استارتاپ چینی «Moonshot AI» سرانجام وزنهای کامل مدل عظیم خود یعنی «Kimi K3» را روی پلتفرم «هاگینگفیس» منتشر کرد. این مدل با دارا بودن ۲.۸ تریلیون پارامتر و معماری «Mixture-of-Experts»، عنوان بزرگترین مدل متنباز تاریخ را به خود اختصاص داده است. ✳️چرا «Kimi K3» انقلابی محسوب میشود؟ 🔹 ابعاد باورنکردنی این مدل از ۸۹۶ متخصص تشکیل شده که بهطور همزم…
🎓 ۱۰ سایت رایگان برای دانلود پایاننامههای دکتری (PhD Thesis) 1️⃣ Open Access Theses and Dissertations (OATD) 🌐 oatd.org 2️⃣ OpenThesis 🌐 openthesis.org 3️⃣ DART-Europe E-theses Portal 🌐 dart-europe.org 4️⃣ ProQuest Dissertations & Theses 🌐 proquest.com 5️⃣ MIT Theses 🌐 dspace.mit.edu 6️⃣ Networked Digital Library of Theses and Dissertations (NDLTD) 🌐 ndltd.org 7️⃣ Caltech Thesis Repository 🌐 thesis.library.…
Showing the 12 most recent of 24 posts we hold for @datkair. 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.
Citation-graph rank — 160,044 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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.
@datkair named 3 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
References a handle that is not a live channel — we have no record it ever was one.
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“《داتکا》؛ آموزشگاه خصوصی” (@datkair), 2,120 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/datkair.
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.