📣 مژده دوستان نات کوین مجدد برگشته 😍 این بار خیلی ساده تر فقط در ۲۴ ساعت سه بار کلایم میکنین و نات کوین هدیه میگیرین بعد از یک ماه مهلت میتونین برداشت بزنین 📌 از طریق لینک زیر وارد ربات نات کوین بشین و گزینه کلایم رو بزنین👇🏻 https://t.me/NotHolidaySeasonBot/app?startapp=tr_bu9XACKoPmbBRTjs3QH6

Channel
آموزش رایگان پکیج آموزشی هوش مصنوعی
@hgvcvhh
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Cite this entry
5,664subscribers
-9 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1001206868580 |
|---|---|
| Type | Channel |
| Username | @hgvcvhh |
| Created | Between 1 March 2018 and 31 August 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/hgvcvhh |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 03:05 | 5,664 | -4 |
| 10 Aug 2026, 19:12 | 5,668 | -3 |
| 8 Aug 2026, 01:22 | 5,671 | -2 |
| 7 Aug 2026, 12:01 | 5,673 | no change |
| 7 Aug 2026, 11:52 | 5,673 | first reading |
Engagement
19 posts held, back to 18 November 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 8 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 13.3%
- avg views ÷ 5,664 subscribers
- Avg views / post
- 751
- 2 posts measured
- Reaction rate
- 0.517%
- reactions ÷ views · ER floor
- Posts in window
- 2
- of 19 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 1 of 2 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 August 2026 |
|---|---|
| Posts held | 19 (18 November 2025 – 6 August 2026) |
| Views total | 1,501 |
| Reactions total | 3 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 03:59 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
- 11m 58s
- Average length
- 3m 00s
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
78 reactions across 15 posts, in 6 distinct kinds. The most used accounts for 61.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 48 | 61.5% | |
| 👍 | 23 | 29.5% | |
| 🤷♀ | 3 | 3.85% | |
| 🔥 | 2 | 2.56% | |
| 🍌 | 1 | 1.28% | |
| 🥰 | 1 | 1.28% |
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 15 of the 19 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 78reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 18 November 2025 to 6 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
🤖 گـراک ^Grok^ حـالــا با یه پرامپت براتون اپ میسازه! 📱 - فقط ایدهاتون رو بنویسید؛ Grok توی چند دقیقه یه اپلیکیشن وب میسازه، منتشرش میکنه و حتی یه دامنه اختصاصی هم بهش میده. - در پشت صحنه، Grok از یه ایجنت برنامه نویسی (Coding Agent) به همراه زیرعاملهای تخصصی، ابزارهای مرورگر و Grok Imagine برای تولید تصاویر استفاده میکنه. - با Build Mode میتونی داشبورد، ابزارهای کاربردی، بازی و انواع اپهای وب بسازی، روی …
❤3
File, posted without a caption
❤9
تبدیل عکس عادی، به عکس سینمایی فقط با این پرامپ! Create a realistic vintage-style autumn portrait using my image. Place me in a garden pathway surrounded by fall leaves and neatly trimmed hedges. I am wearing a long brown trench coat, a classic hat with ribbon, lace-up brown boots, and holding an umbrella. I carry a structured handbag in my other hand. The atmosphere is warm, cinematic, softly lit, and inspired by …
❤7
File, posted without a caption
❤6
یه پرامپت جذاب کمیاب اوردم براتون. برای ساختش کافیه عکس خودتون و پرامپت زیر رو به هوش مصنوعیهای ادیت عکس مثل chat gpt بدید: A moody, cinematic portrait of a confident person. They are wearing a textured, light gray or cream-colored knit crewneck sweater. The scene is defined by extreme high-contrast chiaroscuro lighting: a dramatic, intense stream of warm golden-amber sidelight rakes sharply across the left side…
❤9
⚡هفت ربات خفن و کاربردی تلگرام که باید بشناسی! 🔵@BlueAI_robot پاسخ به سوالات، تولید متن و کمک در کارهای روزمره با هوش مصنوعی 🔵@VoicyBot تبدیل صدا به متن (عالی برای نتبرداری سریع) 🔵@FileToBot تبدیل فرمت فایلها مثل PDF، Word، MP3 و... 🔵@StickerDownloadBot تبدیل استیکر به عکس یا فایل 🔵@TranslateLator_Bot ترجمه سریع بین زبانهای مختلف 🔵@LinkCleanerBot پاک کردن لینک از ردیابها و تگهای مشکوک #کاربردی
❤3
♨️ کمی بیشتر در مورد Grok 4.1 بدونیم ؛ واقعیتر، خلاقتر و کمی شرّتر! ▪️شرکت xAI نسخه جدید Grok 4.1 رو منتشر کرده و این بار مدل، خیلی طبیعیتر از قبل جواب میده ، دقیقاً شبیه یه آدم واقعی، نه یه ربات خشک. ▫️لحن انسانیتر و احساسیتر شده ▫️جوابها خلاقتر و پر انرژیترن ▫️یه کم شیطونتر و تضادپذیرتره ▫️اما: امنیتش ضعیفتر شده و راحتتر میشه با Prompt Injection از مسیر منحرفش کرد. + این تغییرات نتیجه استخدام مربیها…
❤1
- در حالی که ما مشغول Nano Banana pro از Google هستیم، اون سمت Meta با SAM 3D رفته سراغ بازار 3D 🎩 سم;SAM 3D قابلیت فهم 3بعدی هوشمند از تصاویر معمولی رو وارد دنیای مدلهای SAM میکنه و شامل دو مدل اصلیه: 🛋️ SAM 3D Objects: برای بازسازی اشیاء و صحنهها بهصورت سهبعدی 🧑🤝🧑 SAM 3D Body: برای تخمین دقیق حالت (Pose) و شکل بدن انسان — هر دو مدل در تبدیل تصاویر دو بعدی ثابت به بازسازیهای سه بعدی زنده، دقیق و واقع گ…
❤1
گوگل Google Vids + Gemini ارائههای شما رو به صورت خودکار به ویدیو تبدیل میکنه! 🫠 ▪️بعد از اینکه با Nano Banana pro اسلایدها و شماتیکهای جذاب ساختید، میتونید اونها رو به ویدیوهای واقعی و زنده تبدیل کنید. 🔮 این ابزار گوگل تمام کارهای سخت رو برای شما آسون میکنه: • تبدیل اسلایدهای "Google Slides" به ویدیوهای کامل • تولید خودکار اسکریپت • اضافه کردن صداگذاری (Voice-over) و موسیقی پس زمینه • کافیه فقط فایل ارائه…
♨️ چت گروهی ChatGPT برای همه فعال شد ؛ تا 20 نفر در یک گفتگو با هوش مصنوعی! ▪️شرکت Open Ai بالاخره قابلیت Group Chat رو جهانی کرد؛ حالا چه نسخه رایگان باشی چه پولی، میتونی تا ۲۰ نفر رو بیاری داخل یه چت مشترک… همگی در کنار ChatGPT! ▪️از این به بعد ChatGPT فقط یه دستیار تکنفره نیست؛ تبدیل شده به یک «اتاق فکر مشترک» برای تیمها، خانوادهها و گروههای کاری. ▪️چه کارهایی میتونید باهاش انجام بدید؟ ▫️سفر گروهی برنامه…
🔮 تصویرسازی با هوش مصنوعی به سطح جدیدی ارتقا پیدا کرده! ▪️مدل جدید و خفن گوگل، Nano Banana 3 Pro تولید تصویر مبتنی بر واقعیت و دانش رو واقعاً دگرگون کرده! ▪️فرقش چیه؟ - مخزنی عظیم از دانش: این مدل به یه عالمه اطلاعات درست و حسابی وصله تا تصاویری که میسازه، از مدلهای قبلی خیلی دقیقتر و فکتمحورتر باشن. دیگه تصویر الکی نمیسازه! - اتصال به جستجوی گوگل (اختیاری): اگه این قابلیت رو فعال کنی، مدل به اطلاعات لحظهای…
👍4❤1
Showing the 12 most recent of 19 posts we hold for @hgvcvhh. 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
@hgvcvhh 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
- 12 August 2026
- Most recent edit
- 12 August 2026
Mentions
Names
Channels on the register whose handles appear in this channel's posts.
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.
Handles this channel named that no longer answer
- Dead references
- 2
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 0
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 2
- vacant every time we have ever looked
@hgvcvhh named 2 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.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 2 posts, 8 August 2026 – 9 August 2026
named in 2 posts, 8 August 2026 – 9 August 2026
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“آموزش رایگان پکیج آموزشی هوش مصنوعی” (@hgvcvhh), 5,664 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/hgvcvhh.
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.