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Telegram profile photo for V2B.ir

Channel

V2B.ir

@Value2business

On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Cite this entry

40,307subscribers

+21,550 since we began measuring on 9 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1002915396879
TypeChannel
Username@Value2business
Descriptionکانال رسمی تلگرام مجموعه V2B ارزش آفرینی برای کسب و کارها از طریق آموزش و اجرای هوش مصنوعی جهت ارتباط: t.me/Value2business?direct
CreatedBetween 1 August 2025 and 31 October 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live10 November 2026
Measurements held61
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/Value2business

Topic

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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear in near-verbatim form on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@Value2business/398 · this entry30 Aug 2026, 08:09 UTC@NovinAi/194630 Aug 2026, 20:51 UTC1.0013 hours
@Value2business/403 · this entry4 Sept 2026, 08:16 UTC@NovinAi/19726 Sept 2026, 13:12 UTC1.002 days
@Value2business/416 · this entry11 Sept 2026, 08:13 UTC@NovinAi/199111 Sept 2026, 19:53 UTC1.0012 hours
@Value2business/503 · this entry22 Oct 2026, 08:44 UTC@NovinAi/205223 Oct 2026, 06:51 UTC1.0022 hours
@Value2business/432 · this entry25 Sept 2026, 08:01 UTC@NovinAi/201525 Sept 2026, 13:53 UTC1.005.9 hours
@Value2business/404 · this entry4 Sept 2026, 08:16 UTC@NovinAi/19746 Sept 2026, 13:15 UTC0.992 days
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@NovinAi7 (7/7 hand-verifiable sample passed)1.0013 hoursthis entry (7–0)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 112 comparable posts for this entry, running 29 July 2026 to 10 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Recorded under the key clone_source, last confirmed 11 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Growth

18,75740,30729,5329 August 202610 November 2026
61 measurements spanning 93 days, net +21,550. 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 15,525–43,540 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 61
Measured (UTC)SubscribersChange
10 Nov 2026, 04:1140,307+175
8 Nov 2026, 17:1640,132+307
7 Nov 2026, 09:2639,825+303
6 Nov 2026, 11:5739,522+188
5 Nov 2026, 08:3939,334+317
4 Nov 2026, 08:1139,017+156
3 Nov 2026, 08:5838,861+210
2 Nov 2026, 08:3538,651+219
1 Nov 2026, 09:3838,432+333
31 Oct 2026, 10:2138,099+179
30 Oct 2026, 12:1737,920+314
29 Oct 2026, 10:3037,606+216
28 Oct 2026, 08:5937,390+110
27 Oct 2026, 08:2637,280+130
26 Oct 2026, 06:0837,150+159
25 Oct 2026, 02:5536,991+195
24 Oct 2026, 04:3836,796+298
23 Oct 2026, 03:4536,498+179
22 Oct 2026, 02:2136,319+216
20 Oct 2026, 21:4936,103first reading

Engagement

156 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 157 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
22.3%
avg views ÷ 40,307 subscribers
Avg views / post
9,000
49 posts measured
Reaction rate
0.62%
reactions ÷ views · ER floor
Posts in window
49
of 156 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
WindowRolling 30 days · latest post in window 11 November 2026
Posts held156 (29 July 2026 – 11 November 2026)
Views total440,800
Reactions total2,733
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 17:45 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
63
Videos
129
Links
177

Lifetime counters from Telegram’s own channel header, read 11 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.

Video runtime
1h 27m
Average length
1m 17s

Measured directly from 68 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

9,330 reactions across 156 posts, in 40 distinct kinds. The most used accounts for 74.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤6,93374.3%
👍8158.74%
👏5636.03%
🔥3063.28%
❤‍🔥2022.17%
🙏1912.05%
🥰570.611%
😍390.418%
🤯290.311%
👌240.257%
🤣230.247%
😡180.193%
🤩160.171%
💔140.15%
😐140.15%
💯130.139%
😁130.139%
😢70.075%
🍓50.054%
🤷50.054%
20 further kinds430.461%

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 156 of the 156 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 9,330 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 156 most recent posts we hold, published 29 July 2026 to 11 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.

Recent posts

Telegram’s own ‘edited’ marker: 1 of 49 posts held from the last 30 days (2.04%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

11 Nov 2026, 09:43 UTC≈2,740 views32 reactionsread 11 November 2026
Video

ساخت ویدیو با هوش مصنوعی راحت‌تر از همیشه 🤯 نسخه جدید هوش مصنوعی ویدیوساز گوگل معرفی شد و قابلیت‌های بی‌نظیری بهش اضافه شده 😍 تو این ویدیو می‌بینیم که چطور این ابزار، می‌تونه تولید محتوا رو متحول کنه. ✨ ویژگی‌های مهم آپدیت جدید: ویدیوهای طولانی‌تر ثبات بی‌نظیر کاراکترها ثبات بی نظیر نوشته های داخل ویدئو ادیت هوشمند و نقطه‌ای مدل جدید برای افرادی که اشتراک Pro به بالا دارن روی گوگل فلو اومده ولی برای سایر کاربران …

❤31👍1

10 Nov 2026, 08:42 UTC≈4,640 views24 reactionsread 11 November 2026
File

File, posted without a caption

❤22❤‍🔥1🔥1

10 Nov 2026, 08:41 UTC≈4,680 views46 reactionsread 11 November 2026
Video

🚀 ساخت ربات پشتیبان تلگرام با هوش مصنوعی (بدون نیاز به کدنویسی) خسته شدید از بس به پیام‌های تکراری مشتری‌ها جواب دادید؟ 🤯 تو این آموزش یاد می‌گیرید چطور یه دستیار هوشمند برای کسب‌وکارتون بسازید که ۲۴ ساعته با مشتری‌ها صحبت کنه، خدماتتون رو معرفی کنه و قیمت‌ها رو بهشون بگه. 🛠 مراحل کار خیلی سادست: ۱. اول تو ربات BotFather تلگرام یه ربات اختصاصی می‌سازید و توکنش رو می‌گیرید. ۲. تو پلتفرم n8n ثبت‌نام می‌کنید (که ۱۴ رو…

❤37👍9

9 Nov 2026, 10:36 UTC≈5,480 views76 reactionsread 11 November 2026
Video

آموزش ساخت کات نامرئی ✂️ تا حالا به این فکر کردید که چطور بعضی ویدیوها با یه ترنزیشن ساده میلیون‌ها بازدید می‌گیرن؟ 🤩 تو این آموزش بهتون یاد دادم چطور بدون تجهیزات پیچیده و فقط با حرکت دست، یه ترنزیشن جذاب و حرفه‌ای بسازید که مخاطب رو تا ثانیه آخر میخکوب کنه. این سبک ترنزیشن‌ها برای معرفی محصول، نشون دادن تغییرات (قبل و بعد)، تغییر لوکیشن و حتی ولاگ‌های روزمره فوق‌العاده کاربردیه و حسابی به پویایی و کیفیت بصری ویدیوه…

❤56👍15😐5

7 Nov 2026, 08:37 UTC≈8,030 views47 reactionsread 11 November 2026
File

File, posted without a caption

❤41👏5🔥1

7 Nov 2026, 08:37 UTC≈7,960 views85 reactionsread 11 November 2026
Video

🔥 آموزش ساخت کاتالوگ متحرک کسب و کار 🤯👇 تو این ویدیو یادتون دادم چطوری با عکس ساده محصولاتتون یه کاتالوگ متحرک و جذاب برای معرفیشون درست کنید. اونم فقط تو دو مرحله! 🤩 1️⃣ قدم اول: با استفاده از ChatGPT و مسترپرامپتی که بهتون میدم، یه پرامپت حرفه‌ای و اختصاصی برای کاتالوگ متحرکتون دریافت میکنید. 2️⃣ قدم دوم: تو ابزار Google Flow یا هر ویدئو ساز دیگه ای، عکس‌های محصول و پرامپت رو وارد میکنید تا ویدیوی نهایی رو با با…

❤66👍11👌4🔥4

6 Nov 2026, 08:07 UTC≈8,840 views57 reactionsread 11 November 2026

# Role: VFX AI Video Director (Start-to-End Ferrofluid Morph) Generate a 10-second Start-to-End Frame prompt transforming a logo (@image1) into a product (@image2). ## Step 1: Intake (Stop & Wait) Ask ONLY for: 1. Logo (`@image1`) 2. Product (`@image2`) 3. Aspect Ratio (9:16 or 16:9) ## Step 2: Output Format ### 1. Frame Setup Prompts * Start Frame: Low-angle shot of 3D emblem (@image1) flat on [Custom Surface], d…

❤43👏5😢4💔3🔥1🤯1

6 Nov 2026, 08:07 UTC≈7,860 views67 reactionsread 11 November 2026
Video

لوگوی برندتون رو با هوش مصنوعی به سبک ferrofluid زنده کنید تو این آموزش یاد می‌گیرید چطور با استفاده از سایت Creen.ai و مدل Minimax (به طور معادل از Wan 3.0 هم میتونید استفاده کنید)، لوگوی کسب‌و‌کارتون رو با یک انیمیشن سه‌بعدی و خیره‌کننده مستقیما به محصول نهایی تبدیل کنید. این سبک ویدیوهای ترنزیشنی (مثل تبدیل لوگوی BMW به ماشین یا Dior به عطر) پتانسیل بالایی برای وایرال شدن دارند و برای تولید محتوای متمایز پیج‌های…

❤54👍7👏3💔3

4 Nov 2026, 08:32 UTC≈10,400 views94 reactionsread 11 November 2026
File

File, posted without a caption

🔥43🙏18❤17👍7👏4🤷‍♀3🤩2

4 Nov 2026, 08:32 UTC≈10,500 views90 reactionsread 11 November 2026
Video

🤖 آموزش اتصال کلاد (Claude) به اینستاگرام می‌دونستید می‌تونید تمام کارهای زمان‌بر مدیریت پیجتون رو به هوش مصنوعی بسپارید؟ با استفاده از پلتفرم Composio و اتصال مستقیم اکانت اینستاگرام به Claude، یک دستیار حرفه‌ای، دقیق و خستگی‌ناپذیر برای کسب‌وکارتون بسازید. 🌐✨ این سیستم چه کارهایی براتون میتونه انجام بده؟ 👇 📩 پاسخ‌گویی هوشمند به دایرکت‌ها: کلود پیام‌های مخاطبان رو دقیق بررسی می‌کنه و بر اساس لحن برند شما و اطلاعا…

❤71👍11🔥8

1 Nov 2026, 08:36 UTC≈12,300 views39 reactionsread 11 November 2026
File

File, posted without a caption

❤36👏2😐1

1 Nov 2026, 08:35 UTC≈12,300 views70 reactionsread 11 November 2026
Video

🚀 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…

❤53👍13👏3🤯1

Showing the 12 most recent of 156 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.

Posts recorded as deleted after publishing

We recorded 1 post on @Value2business as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
29 September 2026
Most recent seen missing
29 September 2026
Median time before seen missing
25 hours
Seen missing in the last 30 days
0

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

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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“V2B.ir” (@Value2business), 40,307 subscribers as measured 10 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.