5 measurements spanning 3 days, net +431. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 18,692–19,253 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 13:45
19,188
+115
11 Aug 2026, 10:12
19,073
+139
10 Aug 2026, 10:56
18,934
+177
9 Aug 2026, 11:33
18,757
no change
9 Aug 2026, 10:48
18,757
first reading
Engagement
18 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 8 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
27.5%
avg views ÷ 19,188 subscribers
Avg views / post
5,270
18 posts measured
Reaction rate
1.18%
reactions ÷ views · ER floor
Posts in window
18
of 18 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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 10 August 2026
Posts held
18 (29 July 2026 – 10 August 2026)
Views total
94,810
Reactions total
1,119
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 23:49 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
34
Videos
69
Links
155
Lifetime counters from Telegram’s own channel header, read 12 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
12m 08s
Average length
1m 31s
Measured directly from 8 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
1,119 reactions across 18 posts, in 21 distinct kinds. The most used accounts for 67.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
758
67.7%
👏
117
10.5%
👍
85
7.60%
🙏
39
3.49%
🔥
31
2.77%
🤣
16
1.43%
🤩
12
1.07%
🥰
11
0.983%
😍
8
0.715%
🤯
8
0.715%
👌
6
0.536%
💯
6
0.536%
😡
6
0.536%
❤🔥
5
0.447%
🤝
3
0.268%
🍓
2
0.179%
💘
2
0.179%
🍾
1
0.089%
🏆
1
0.089%
🗿
1
0.089%
1 further kind
1
0.089%
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 18 of the 18 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 1,119reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 29 July 2026 to 10 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.
# Role & Objective
You are an expert AI Prompt Engineer and Art Director specialized in creating cinematic, fine-art inspired animation prompts, focusing on post-impressionist and van-Gogh styles. Your mission is to adapt the "Impressionist Painting to Real Product" concept for ANY business or product provided by the user.
# Core Concept to Maintain
The product/object provided by the user must emerge and resolve int…
خلق تیزرهای تبلیغاتی به سبک نقاشی 🎨🌟
تو قسمت سوم از سریال «ایدههای تبلیغاتی»، رفتیم سراغ یه کار هنری و لوکس! میخوایم محصولمون رو مثل یه شاهکار هنری، از دل نقاشیهای معروف و زندهی دنیا بکشیم بیرون.
ببینید این سبک بصری چطور برای هر محصولی معجزه میکنه؛ اصلاً فرقی نداره سوژه ما یه بسته پفک نمکی باشه، یا زعفران، یه روسری خوشنقشونگار، یه قوطی دلستر خنک یا حتی یه ساعت مچی شیک! این ایده، کلاس کاریِ هر بیزینسی رو چند ل…
MASTER VIDEO PROMPT: THE EXPLOSIVE LOOP
GENERAL STYLE & TECHNICAL SPECS
Visual Style: Ultra-realistic cinematic action, surreal dark comedy. Single continuous tracking shot effect, chaotic handheld camera with fast whip pans, intense camera shake on impacts, and realistic cinematic motion blur. Clean commercial grading.
Lighting: Bright midday daylight, interrupted by a blinding orange explosive flash in the middle, …
ساخت فیلم هالیوودی در تهران با قدرت هوش مصنوعی 🤯🎬
این ویدیو فقط یه سناریوی طنز و دیوانهوار نیست؛ بلکه نمایش قدرت بینظیر ابزارهای نسل جدید تولید ویدیوئه. صفر تا صد این زنجیره اتفاقات، با ترکیب مهندسی پرامپت دقیق و کارگردانی هوشمند و با ترکیب دو ابزار هوش مصنوعی Nano Banana و Seedance 2.5 خلق شده تا نشون بده دیگه هیچ محدودیتی برای پیادهسازی ایدههای خلاقانه وجود نداره. مرز بین واقعیت و تخیل رسماً پاک شده 🚀
# Role & Objective
You are an expert AI Prompt Engineer and Claymation Director specialized in creating heartwarming stop-motion style prompts (like Aardman Animations). Your mission is to adapt the "Claymation Parade Float" concept for ANY business or product provided by the user.
# Core Concept to Maintain
The product/object provided by the user must be the "Hero Centerpiece" carried on a tiny, detailed parade flo…
آموزش ساخت تیزر استاپموشن خمیری با هوش مصنوعی 🧸🪄
تو قسمت دوم از سریال «ایدههای تبلیغاتی»، رفتیم سراغ یه سبک نوستالژیک و به شدت دوستداشتنی: انیمیشنهای استاپموشن خمیری!
همونطور که تو ویدیو میبینید، اصلاً مهم نیست محصولتون یه یخچال سایدبایساید باشه، یه قوطی شامپو، یه گلدون سانسوریا، یه رژ لب یا حتی یه بطری شیر. این سبک گرم و صمیمی، برای هر بیزینسی با هر محصولی جواب میده و حسابی مخاطب رو میخکوب میکنه.
تو این …
🔥 اولین فیلم سینمایی ۹۰ دقیقهایِ تماماً AI به نام HELL GRIND منتشر شد!
نکته شگفتانگیز ماجرا اینجاست که سازندگان، فقط به انتشار فیلم بسنده نکردند و برای یادگیری علاقهمندان، تمام پرامپتها، ورکفلوها و کاراکتر شیتها رو هم در اختیار عموم قرار دادند 🤯
لینک تماشای فیلم و دسترسی به فایلهای ساخت:
https://higgsfield.ai/@higgsfield.studio/projects/hell-grind?utm_source=yt&utm_medium=video&utm_category=prd&utm_campaign=…
# Role & Objective
You are an expert AI Prompt Engineer and Cinematographer specialized in creating cinematic, whimsical miniature diorama prompts for image/video generation tools. Your mission is to adapt the "Miniature Movie Studio" prompt concept for ANY business or product provided by the user.
# Core Concept to Maintain
The product/object provided by the user must be treated as the "Hero Prop" at the center of …
آموزش ساخت استودیوی مینیاتوری برای محصولمون 🎬🪄
تو قسمت اول از سریال «ایدههای تبلیغاتی»، رفتیم سراغ یکی از جذابترین ترندهای بصری: تیزرهای مینیاتوری به سبک پیکسار.
همونطور که تو ویدیو دیدید، اصلاً فرقی نمیکنه محصول شما یه ساعت مچی لوکس باشه، یه دونات، یا حتی نمای بیرونی کافه و دفتر کارتون؛ این فرمتِ خلاقانه، کلاس کاری پیجتون رو بالا میبره و تو همون ۳ ثانیه اول مخاطب رو میخکوب میکنه.
ما تو این آموزش با استفاده از …
🚨 چالش بزرگ هوش مصنوعی: کدوم ابزار، متن فارسی رو تو ویدیو خراب نمیکنه؟
یکی از چالشهای همیشگی تو تولید محتوای ویدیویی و ورکفلوهای حرفهای، به هم ریختن فونتها و کلمات فارسی توسط ابزارهای هوش مصنوعیه. وقتی قراره یک ویدیوی باکیفیت برای یک کسبوکار بسازیم، حفظ جزئیات پسزمینه و خوانا موندن متنها اهمیت بالایی داره.
تو این ویدیو، رفتیم سراغ یک تست سخت و نفسگیر و ابزارهای محبوبی مثل Omni, Kling, Veo, Happy Horse, Wan, G…
PERSONA
Act as "Elite AI Logo Motion Director". Interview users step-by-step to design a 6s logo animation prompt for AI tools (Runway, Kling). Speak ONLY in warm, highly descriptive, professional Farsi. Final prompt in English.
🚨RULES🚨
1. STATE MACHINE: Move strictly step-by-step.
2. ONE Q AT A TIME: Never ask multiple Qs.
3. STOP&WAIT: After asking ONE Q, immediately STOP GENERATING and WAIT for user reply.
4. EDU…
❤60🙏14👍7🍾1🏆1
Showing the 12 most recent of 18 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.
Citation-graph rank
Citation-graph rank — 554,897 of 1,169,250entries 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
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.
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.
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.
“V2B.ir” (@Value2business), 19,188 subscribers as measured 12 August 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.