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Channel
@Value2business
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
38,432subscribers
+19,675 since we began measuring on 9 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1002915396879 |
|---|---|
| Type | Channel |
| Username | @Value2business |
| Description | کانال رسمی تلگرام مجموعه V2B ارزش آفرینی برای کسب و کارها از طریق آموزش و اجرای هوش مصنوعی جهت ارتباط: t.me/Value2business?direct |
| Created | Between 1 August 2025 and 31 October 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 1 November 2026 |
| Measurements held | 53 |
| Confirmed unchanged | 1 time, most recently 1 November 2026 |
| On Telegram | t.me/Value2business |
Education — 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 65% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 1 Nov 2026, 09:38 | 38,432 | +333 |
| 31 Oct 2026, 10:21 | 38,099 | +179 |
| 30 Oct 2026, 12:17 | 37,920 | +314 |
| 29 Oct 2026, 10:30 | 37,606 | +216 |
| 28 Oct 2026, 08:59 | 37,390 | +110 |
| 27 Oct 2026, 08:26 | 37,280 | +130 |
| 26 Oct 2026, 06:08 | 37,150 | +159 |
| 25 Oct 2026, 02:55 | 36,991 | +195 |
| 24 Oct 2026, 04:38 | 36,796 | +298 |
| 23 Oct 2026, 03:45 | 36,498 | +179 |
| 22 Oct 2026, 02:21 | 36,319 | +216 |
| 20 Oct 2026, 21:49 | 36,103 | +106 |
| 19 Oct 2026, 23:40 | 35,997 | +248 |
| 18 Oct 2026, 21:38 | 35,749 | +100 |
| 17 Oct 2026, 22:50 | 35,649 | +252 |
| 16 Oct 2026, 21:07 | 35,397 | +136 |
| 15 Oct 2026, 19:27 | 35,261 | +188 |
| 14 Oct 2026, 17:46 | 35,073 | +246 |
| 13 Oct 2026, 05:41 | 34,827 | +441 |
| 9 Oct 2026, 00:40 | 34,386 | first reading |
146 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 137 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 1 November 2026 |
|---|---|
| Posts held | 146 (29 July 2026 – 1 November 2026) |
| Views total | 372,050 |
| Reactions total | 2,561 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 1 Nov 2026, 17:07 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 1 November 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.
Measured directly from 62 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.
8,520 reactions across 146 posts, in 40 distinct kinds. The most used accounts for 74.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 6,351 | 74.5% | |
| 👍 | 728 | 8.54% | |
| 👏 | 530 | 6.22% | |
| 🔥 | 247 | 2.90% | |
| ❤🔥 | 201 | 2.36% | |
| 🙏 | 173 | 2.03% | |
| 🥰 | 57 | 0.669% | |
| 😍 | 39 | 0.458% | |
| 🤯 | 26 | 0.305% | |
| 🤣 | 23 | 0.27% | |
| 👌 | 20 | 0.235% | |
| 😡 | 18 | 0.211% | |
| 🤩 | 14 | 0.164% | |
| 💯 | 13 | 0.153% | |
| 😁 | 12 | 0.141% | |
| 💔 | 8 | 0.094% | |
| 😐 | 8 | 0.094% | |
| 🍓 | 5 | 0.059% | |
| 🤷 | 5 | 0.059% | |
| 🆒 | 4 | 0.047% | |
| 20 further kinds | 38 | 0.446% |
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 146 of the 146 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 8,520 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 146 most recent posts we hold, published 29 July 2026 to 1 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.
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❤21
🚀 ساخت تیزر تبلیغاتی خلاقانه با هوش مصنوعی 🎬 با این روش خلاقانه، تبلیغات خودتون رو متمایز کنید. مراحل ساخت این ویدیو به طور خلاصه: 🔸 تو سایت flow.google پروژه جدید بسازید و ویدیو مرجع رو آپلود کنید. 🔸تو حالت Image، پوستر تبلیغاتی خود تون رو با پرامپت بسازید و عکس کاراکتر خودتان رو هم بارگذاری کنید. 🔸ویدیو اصلی، عکس کاراکتر و پوستر رو به پرامپت اضافه کنید (Add to prompt). 🔸تو حالت Video با مدل Omni 1.1 Flash، پرامپ…
❤26👍7
پرامپت ویدئو: Animate this neighborhood for 10 seconds, vertical 9:16. Start with NO red pin; use a pin-free opening image. Lock all buildings, roads, black plaques and Persian lettering exactly: no rewriting, distortion or text movement. A growing shadow approaches the highlighted rooftop. ONE giant glossy red location pin enters rapidly from above, OUTSIDE the frame, descending vertically. Slow just before its tip…
❤30👏6
مستر پرامپت تصویر: You are an image-generation assistant. Follow these two steps strictly, in order. STEP 1 — ASK FIRST (do not generate anything yet) Your very first reply must be ONLY this one question, in Persian, word for word: «چه نامی روی لوکیشن نوشته شود؟» Do not add greetings, explanations, previews or any other text. Do not generate or describe any image yet. Stop and wait for the user's answer. STEP 2 — …
❤33👏4
دیگه لوکیشنهای ساده و خستهکننده برای مشتریاتون نفرستید 📍 با این ترفند جذاب، تو دو مرحله سریع یک ویدیوی سهبعدی و حرفهای از لوکیشن کسبوکارتون بسازید و کلاس کاریتون رو چند پله ارتقا بدید. مراحل ساخت این انیمیشن: مرحله اول: وارد ChatGPT بشید و با پرامپت مخصوص، یک تصویر سهبعدی جذاب از نقشه به همراه اسم مجموعهتون بسازید. مرحله دوم: وارد سایت Manus.im بشید، از بخش ویدیو مدل MiniMax H3 رو انتخاب کنید و با وارد کردن…
❤33👍8👏1🥰1
🎙 تولید صدای هر کسی که دوست دارید، فقط با چند کلیک 🤯 دیگه برای ویدیوها و پادکستهاتون نیازی به گوینده ندارید. با این ابزار هوش مصنوعی، میتونید بینهایت ویس با صدای افراد معروف، سلبریتیها یا هر شخص دیگهای که دوست دارید تولید کنید، البته قبلش حتما باید ازشون اجازه بگیرید. فقط کافیه یک نمونه صدای ۱۰ تا ۲۰ ثانیهای رو آپلود کنید تا نرمافزار با بالاترین کیفیت، متنهای شما رو به همون صدا تبدیل کنه. این ابزار بینظیر ا…
❤56👍9👏3🙏2🥰1
دوستان عزیز این تبلیغاتی که در پایین صفحه ملاحظه میفرمایید هیچ ارتباطی به مجموعه V2B نداره و صرفا تبلیغاتی هست که خود تلگرام قرار میده و چون هوشمند هست، تبلیغاتی که تو کانال ما میذاره مرتبط با هوش مصنوعی هست. این تبلیغات کانال های دیگه هست و هیچ ارتباطی با مجموعه V2B ندارند.
👍52❤22
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👏28❤12🔥6👍3🙏2🌚1
🚀 ساخت ویدیوهای آنباکسینگ مینیاتوری با هوش مصنوعی تو ۵ دقیقه دیگه نیازی به تجهیزات گرون قیمت برای ساخت ویدیوهای جذاب و وایرال از محصولاتتون ندارید. ویدیوهای آنباکسینگ مینیاتوری به شدت پربازدید هستند و حالا میتونید اونا رو به راحتی با هوش مصنوعی بسازید. برای این کار فقط باید دو مرحله ساده رو طی کنید: مرحله اول (ChatGPT): تصویر محصول خودتون رو به همراه یک پرامپت اولیه تو چت جیپیتی آپلود کنید تا هوش مصنوعی محصول رو …
❤58👍9👏5🔥2😍1
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❤35👍5🔥2
آموزش موشن گرافیک با کلاد 🚀 مخاطب امروز، عاشق محتوای بصری پویا و سریعه و الگوریتم هم به این ویدیوها بالاترین نرخ تعامل (Engagement) رو میده. اما چالش اصلی اینجاست که ساخت موشنگرافیک با هوش مصنوعی برای زبان فارسی، معمولاً به متنهای تکهتکه، انیمیشنهای رباتیک و هدر رفتن توکنها ختم میشه. توی این ویدیو یاد میگیرید چطور با ترکیب جمنای (Gemini) و کلاد کد (Claude Code) یک خروجی کاملاً حرفهای بگیرید. کلید موفقیت این ر…
❤62🙏6🔥4👍2
دیگه گول عکسها و ویدیوهای هوش مصنوعی رو نخورید 🚫🤔 با پیشرفت سریع هوش مصنوعی، تشخیص واقعیت از محتوای ساختگی به یک چالش جدی تبدیل شده 🤯 اما ابزار جدید گوگل این مشکل رو حل میکنه 💡 این ابزار به شما کمک میکنه تا به راحتی و تو چند ثانیه متوجه بشید که آیا یک عکس 📸، ویدیو 🎥 یا فایل صوتی 🎙 توسط هوش مصنوعی ساخته شده یا کاملاً واقعیه. کافیه وارد سایت https://synthid.com بشید و فایل مورد نظرتون رو آپلود کنید تا این سیستم با …
❤63👍12🔥4
Showing the 12 most recent of 146 posts we hold for @Value2business. 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.
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.
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.
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 1 November 2026 — this entry's latest reading, not the date you are reading this.
“V2B.ir” (@Value2business), 38,432 subscribers as measured 1 November 2026. Telegram Register, tgregister.com/channel/Value2business.
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.