🍸💋 ورود آقایان ممنون🤩🤩

Channel
LEGEND APK | هوش مصنوعی و ترفند
@LEGENDARYHACKIR
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
14,337subscribers
+86 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 | -1001573490460 |
|---|---|
| Type | Channel |
| Username | @LEGENDARYHACKIR |
| Description | ترفند موبایل و یندوز | معرفی هوش مصنوعی 🔐 🔰 Website => ⚜️ https://legendlearn.ir 🔰 Support => ⚜️ https://t.me/sup_legend1 🔰 aparat => ⚜️ aparat.com/Technolegend 🔰 virgool => ⚜️ https://virgool.io/@drtech 🌐 اینترنت آزاد را با ما تجربه کنید |
| Created | Between 1 August 2021 and 31 January 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/LEGENDARYHACKIR |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 19:53 | 14,337 | +35 |
| 11 Aug 2026, 20:34 | 14,302 | -27 |
| 10 Aug 2026, 19:18 | 14,329 | +73 |
| 9 Aug 2026, 20:21 | 14,256 | +1 |
| 8 Aug 2026, 23:01 | 14,255 | -34 |
| 7 Aug 2026, 19:41 | 14,289 | +38 |
| 7 Aug 2026, 09:01 | 14,251 | first reading |
Engagement
34 posts held, back to 29 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 19 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 9.35%
- avg views ÷ 14,337 subscribers
- Avg views / post
- 1,340
- 34 posts measured
- Reaction rate
- 0.535%
- reactions ÷ views · ER floor
- Posts in window
- 34
- of 34 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 29 of 34 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 34 (29 July 2026 – 12 August 2026) |
| Views total | 45,598 |
| Reactions total | 230 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Aug 2026, 02:01 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
- 534
- Videos
- 142
- Links
- 535
Lifetime counters from Telegram’s own channel header, read 13 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
- Video runtime
- 2m 46s
- Average length
- 42s
Measured directly from 4 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
230 reactions across 29 posts, in 3 distinct kinds. The most used accounts for 38.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤🔥 | 88 | 38.3% | |
| 👍 | 79 | 34.3% | |
| 🤩 | 63 | 27.4% |
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 29 of the 34 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 230reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 34 most recent posts we hold, published 29 July 2026 to 12 August 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.
Recent posts
❌❌🎁 دو ساعت دیگه پاک میشه https://t.me/addlist/g9vgtYW6c8EzNjg0 ⭕️ 🎁 آخر هر ماه ➖➖➖➖➖➖➖➖➖➖➖➖
#هوش_مصنوعی #گردشگری 🔹نام: SuperTraveler AI Bot 🔹آیدی: @SuperTraveler_ai_bot 🤖 این ربات یک تورلیدر هوشمند مبتنی بر هوش مصنوعی است که درباره شهرها، جاذبههای گردشگری و مکانهای دیدنی اطلاعات کاملی در اختیارتان قرار میدهد. کافی است عکس، لوکیشن یا نام مکان موردنظر را ارسال کنید تا اطلاعات مفیدی از آن دریافت کنید. 📸 شناسایی مکانها با ارسال عکس 📍 دریافت اطلاعات با ارسال لوکیشن 🏛 معرفی تاریخچه و اطلاعات جاذبههای گردش…
بهترین هوش مصنوعی رو متناسب با کاری که میخوای انجام بدی انتخاب کن 🤖✨: ➖➖➖➖➖➖➖➖➖ 🔚#ترفند و #هوش_مصنوعی و #موبایل 🔻Follow🔻 🆑 @LEGENDARYHACKIR
⭕️⭕️⭕️⭕️⭕️⭕️⭕️⭕️⭕️⭕️⭕️ 📣 کانال VIP به دلیل احتمال جنگ رایگان شد 📣 قیمت اصلی هر کانال : 2میلیون تومان 📣 5 دقیقه فرصت برای عضویت در کانال VIP 🔤 Join VIP ⭕️⭕️⭕️⭕️⭕️⭕️⭕️⭕️⭕️⭕️⭕️
🔎 ویدئو واقعیه یا با هوش مصنوعی ساخته شده؟ 🤔 سایت DeepGuard با استفاده از هوش مصنوعی 🤖، تصاویر و ویدئوها را بررسی میکند تا احتمال دیپفیک (Deepfake) 🎭 یا دستکاری شدن آنها را تشخیص دهد. این ابزار با تحلیل محتوا و ارائه گزارش 📊، به کاربران کمک میکند راحتتر بین محتوای واقعی و جعلی تفاوت قائل شوند. ✅ 🌐 اگر زیاد در شبکههای اجتماعی ویدئوهای مشکوک میبینید، DeepGuard میتواند ابزار مفیدی برای راستیآزمایی آنها باشد.…
❤🔥1
📸 چطور با گوشی عکسهای حرفهایتر بگیریم؟📷 فقط دوربین بهتر کافی نیست! اگر میخواهید کیفیت عکسهایتان چند پله بالاتر برود، این چند نکته را امتحان کنید:👇 ✅ بهجای اپ دوربین پیشفرض، از اپهایی مثل Halide، Moment، VWFNDR یا Zerocam استفاده کنید.📱 ✅ برای عکسهای مهم، با فرمت RAW عکاسی کنید تا هنگام ویرایش جزئیات بیشتری در اختیار داشته باشید.📸 ✅ عکسها را با Snapseed یا Lightroom Mobile ویرایش کنید؛ تنظیم نور، کنتراست…
❤🔥1
🔒 جلوگیری از استفاده از فلش مموری در ویندوز (بدون نیاز به نرمافزار) اگر میخواهید روی یک سیستم، هیچ فلش مموری یا حافظه USB قابل استفاده نباشد، میتوانید با استفاده از Group Policy این قابلیت را غیرفعال کنید. 📌 مراحل انجام کار: 1️⃣ کلیدهای Win + R را فشار دهید. 2️⃣ عبارت "gpedit.msc" را وارد کرده و Enter بزنید. 3️⃣ به مسیر زیر بروید: Computer Configuration └─ Administrative Templates └─ System └─ Remov…
👍2
#هوش_مصنوعی #OCR 🔹نام: OCR Nerd Bot 🔹آیدی: @OCRnerdBOT 🤖 این ربات متن موجود در تصاویر را با دقت استخراج میکند و امکان ترجمه آن به زبانهای مختلف را نیز در اختیار شما قرار میدهد. با وجود اینکه زبان رابط کاربری ربات انگلیسی است، از استخراج و پردازش متنهای فارسی نیز پشتیبانی میکند. 📸 استخراج متن از تصاویر (OCR) 🌍 ترجمه متن به زبانهای مختلف از جمله فارسی 📝 پشتیبانی از استخراج متن فارسی ⚡ پردازش سریع تصاویر 📄 مناس…
❤🔥1👍1
📌🆕 🟢پرتره آتلیه ای 8K بکگراند سبز 🔽🔽Copy Prompt🔽🔽 A studio portrait, medium shot of a woman. High-contrast lighting: warm orange-golden light on her face and shoulder, contrasted with a deep teal-blue background. She has dark hair tied in a bun, wearing a black dress full cover. Red lipstick, sharp focus on the eyes, skin texture 8k. ➖➖➖➖➖➖➖➖➖ 🔚#ترفند و #هوش_مصنوعی و #موبایل 🔻Follow🔻 🆑 @LEGENDARYHACKIR
❤🔥2👍1
🚀 علیبابا از مدل جدید هوش مصنوعی Qwen 3.8 Max رونمایی کرد علیبابا مدل جدید Qwen 3.8 Max رو معرفی کرده؛ یه مدل پرچمدار با حدود ۲.۴ تریلیون پارامتر. از قابلیتهای جالبش اینه که میتونه پروژههای طولانی و چندمرحلهای رو تا ۱۰ روز یا حتی بیشتر بهصورت خودکار مدیریت کنه؛ بدون اینکه مدام نیاز به دخالت کاربر داشته باشه. همچنین از کدنویسی، پردازش تصویر و انجام وظایف پیچیده هم پشتیبانی میکنه. طبق نتایج بنچمارکهای منتشر…
❤🔥1👍1
قابل تـــــــــــــوجه علاقمندان به OSINT 🔎 معرفی یک مرجع کامل ابزارهای #osint اگر دنبال ابزارهای رایگان برای تحقیقات آنلاین و OSINT هستید، این وبسایت میتواند یکی از بهترین بوکمارکهای شما باشد. داخلش صدها ابزار در دستهبندیهای مختلف قرار گرفته، از جمله: 🌐 جستجوی دامنه (Domain) 🌍 اطلاعات IP و شبکه 🔍 Whois و DNS 🛡 بررسی امنیت و اعتبار وبسایت 📸 آرشیو و اسکرینشات سایتها 📈 تحلیل سئو و ترافیک 🔗 باز کردن لی…
👍2🤩1
Showing the 12 most recent of 34 posts we hold for @LEGENDARYHACKIR. 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
Citation-graph rank — 227,481 of 1,160,990entries 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.
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 60 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
Named by
Channels on the register whose posts name this channel's handle.
@hoseinsadeghi4013 · 12,6032 postsپروژه ادمینی | دورکاری | VIP
@admiinprojeh · 14,3411 post𝘼𝙁𝙂 𝙋𝙇𝙐𝙎 | ܣܭߺࡉ ߊܩࡅ࣪ߺࡅ࡙ߺࡅߺ߳ࡉ
@Afg_Plus · 9,9651 postهوش مصنوعی| علم داده
@AILearnCamp · 16,9971 postامیری هک|| AMIRI_HACK
@AMIRIHACK · 16,9321 postطراحی گرافیک /ساخت تصاویر با ai/ابزار ادیت / بارکاو دیزاینر
@barkav_designer · 18,9871 postدورنمای اقتصاد
@econviews · 18,2111 postپروژه استخدامی | کارفرما | VIP
@FREELANCERVIIP · 19,7851 post️فریلنسر گلد پروژه
@goldenporojehh · 11,5321 postHack 4҉҈ Man
@Hack4Man · 13,7051 postآموزش جذب زنان | دایان
@jazb_dokhtar · 24,2341 postکاریابی ماجراجو | معرفی کارفرما | پروژه دانشجویی
@KARYABI_MAJARAJOO_W · 7,9411 postفریلنسر| دورکاری | پروژه ¦ کارینت
@karynet · 16,3731 postخودآموزهای زبان انگلیسی
@khodAmooz_zban · 17,7251 postکودک دو زبانه پرورش دادن سخت نیست
@Online_English_For_Kids · 10,6241 postیادگیری آسان زبان انگلیسی
@OnlineEnglishschool · 12,6381 postRed Team Village
@RedTeamVillageRTV · 6,1881 postܭߊܦ߭ܘ ܭࡅߺ߳ߊࡅߺ߲ࡉ
@sacafeketab · 28,2241 postگرامر را آسان یاد بگیرید
@SimpleGrammar · 14,6371 postSkulls memories
@skull_memoris · 5,4171 post【👑VIP☀️】
@vip_orgiinal · 5,1751 postپکیج های پولی رایگان
@VipPackages66 · 14,7091 postVIPPRO آموزش ادمینی/پروژه/کارفرما
@vipprochanel · 19,0061 postخانه زبان
@zabanban · 7,4111 post
Names
Channels on the register whose handles appear in this channel's posts.
@admiinprojeh · 14,3411 postᎪᎥ ᏟᎾᎠᎬ (برنامه نویسی و سورس رایگان)
@Ai_teleegram · 3,6451 postهوش مصنوعی| علم داده
@AILearnCamp · 16,9971 postامیری هک|| AMIRI_HACK
@AMIRIHACK · 16,9321 postOffensive LSO
@BackupLSO · 3,1471 postطراحی گرافیک /ساخت تصاویر با ai/ابزار ادیت / بارکاو دیزاینر
@barkav_designer · 18,9871 postدستورات ترموکس - Termux
@Bia2Termux · 11,1751 post🌧⚡️بـًٍۋ℘يٰٰ بـٰٖـــٍٰـارٰٖان⚡️🌧
@bouyebaran · 5,4641 postکانفیگ v2ray و Npv
@chanel_v2ray_2 · 4,3371 postکوروش گرافیک|CyrusGraphic
@Cyrus_Graphic · 8,9621 post🔍دنبال کار🔎
@donbal_kar · 15,0821 postEnglishtub | انگلیسی آسان با استایل
@Englishtub · 3,4511 postآموزش الایت موشن/اسماعیل مهرجوش
@esmailedit · 11,3391 post️فریلنسر گلد پروژه
@goldenporojehh · 11,5321 postHack 4҉҈ Man
@Hack4Man · 13,7051 post𝐈𝐌𝐎𝐕𝐈𝐄|آیمووی
@Imovie_txt · 12,5711 post𓆩 IPMan | آیپـیمَـن
@IPManTeam · 10,1451 postBlackCode | کد سیاه
@ir_blackcode · 3,6241 postفیلترشکن || پروکسی
@iran_vpn66 · 16,0181 postکاریابی ماجراجو | معرفی کارفرما | پروژه دانشجویی
@KARYABI_MAJARAJOO_W · 7,9411 postNetwork 4:20🎫
@network_secsnap · 4,9811 postاستخدام ادمین | نیلای
@NilayAdmin · 12,3301 postمجربات روحانیه مشایخ کبری
@oloomgharibe90 · 14,7001 postپرامتوگرام
@peramtogram · 4,1721 post
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“LEGEND APK | هوش مصنوعی و ترفند” (@LEGENDARYHACKIR), 14,337 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/LEGENDARYHACKIR.
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.