Marketing & affiliate — 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 56% 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.
Growth
59 measurements spanning 92 days, net -775. 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 16,050–17,057 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 59
Measured (UTC)
Subscribers
Change
8 Nov 2026, 05:51
16,166
-13
7 Nov 2026, 01:38
16,179
-28
5 Nov 2026, 22:29
16,207
-39
4 Nov 2026, 22:01
16,246
-11
3 Nov 2026, 21:56
16,257
-12
2 Nov 2026, 19:57
16,269
-2
1 Nov 2026, 22:07
16,271
-3
31 Oct 2026, 22:38
16,274
-14
29 Oct 2026, 18:27
16,288
-3
28 Oct 2026, 21:21
16,291
-6
27 Oct 2026, 22:21
16,297
-6
26 Oct 2026, 21:40
16,303
-15
25 Oct 2026, 19:39
16,318
-8
24 Oct 2026, 16:11
16,326
-10
23 Oct 2026, 15:54
16,336
-8
22 Oct 2026, 16:18
16,344
-10
21 Oct 2026, 13:21
16,354
-6
20 Oct 2026, 07:36
16,360
-3
19 Oct 2026, 06:26
16,363
-7
18 Oct 2026, 03:10
16,370
first reading
Engagement
24 posts held, back to 25 December 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 64 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
12.2%
avg views ÷ 16,166 subscribers
Avg views / post
1,980
2 posts measured
Reaction rate
3.57%
reactions ÷ views · ER floor
Posts in window
2
of 24 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 6 November 2026
Posts held
24 (25 December 2025 – 6 November 2026)
Views total
3,950
Reactions total
141
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Nov 2026, 16:55 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
197
Videos
67
Links
120
Lifetime counters from Telegram’s own channel header, read 8 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
1m 16s
Average length
38s
Measured directly from 2 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
2,383 reactions across 24 posts, in 12 distinct kinds. The most used accounts for 60.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,449
60.8%
🔥
346
14.5%
👍
260
10.9%
😢
207
8.69%
👏
64
2.69%
😍
24
1.01%
🍓
16
0.671%
🤩
9
0.378%
😱
4
0.168%
🏆
2
0.084%
🎉
1
0.042%
😎
1
0.042%
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 24 of the 24 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 2,383 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 24 most recent posts we hold, published 25 December 2025 to 6 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 2 posts held from the last 30 days (50.0%) 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).
🤯 هرروز داره عجیبتر میشه!
تا الان فکر میکردیم ساخت عکس با AI جذابه، حالا یه قابلیت جدید به ChatGPT اضافه شده که میتونه تصاویر رو به GIF تبدیل کنه
اما این همهی ماجرا نیست و میتونی:
✨ از متن یا تصویر GIF بسازی ⚡ سرعت انیمیشن رو تغییر بدی 🎨 هرکدوم از فریمها رو جداگانه ادیت کنی 🐾 از تصاویر ذخیرهشدهت دوباره استفاده کنی، بدون نیاز به آپلود مجدد!
❗مهمتر از همه اینکه این قابلیت برای تمام پلنها در دسترس قرار گرفت…
یادمه زمانی که میخواستم دراپشیپینگ رو شروع کنم کلی علامت سؤال تو ذهنم بود که همهشون میرسیدن به اینکه
«دراپشیپینگ واقعاً چطور کار میکنه؟»
اما توی تحقیقهام هرچیزی که پیدا کردم، نصفهنیمه بود و بدتر گیجم کرد...
برای همین تصمیم گرفتم یه مینیدوره کوتاه و کامل درست کنم که همون اول راه، همهچیز رو ساده و روشن برات بگه
نه اضافهگویی، نه سردرگمی…
✅فقط اصل ماجرا
📍رایگانه اما نمیدونم تا کی در دسترس باشه
پس تا فرصت از…
🚀 اولین سفارش!
فقط یک هفته بعد از شروع
این پیام یکی از اون نتایجیه که بهنظرم ارزش دیده شدن داره 👀
ایشون توی یک هفته، تونسته اولین فروشش رو از طریق تبلیغات ارگانیک داشته باشه.
یعنی هنوز اول راهه، ولی بهجای اینکه منتظر زمان مناسب بمونه، وارد مرحله اجرا شده و نتیجهش رو هم گرفته. 🌱
یادت باشه تا شروع نکنی، اصلا نمیفهمی کجای مسیر قراره نتیجه بگیری🔥
🚀 این یعنی عملکرد واقعی!
تبسم جان آموزشها رو چندبار دیده و به جای اینکه با وجود چالشهای اینترنت جا بزنه، درست رفته سراغ اصل کار یعنی تحقیق محصول.
برای هر محصول یه صفحه اکسل اختصاص داده و تمام دیتای لازم رو جمع میکنه تا کاملاً متمرکز و حسابشده بره جلو. 🔥
و قشنگیش اینه که وسط همین مسیر، دوره رو برای دوستش هم ثبتنام کرد تا با هم جلو برن. 🤍
تفاوت نتیجهها دقیقا به همینه: به جای فکر کردن، عمل کن.
پس تو هم اگه مدام…
🚨 انجامش جرئت میخواد! 😅
برو از صفحه اول سایتت یه اسکرینشات بگیر،
بعد بده به ChatGPT و اینو بنویس
👇
فرض کن یک مشتری هستی که اولین بار وارد این سایت شده.
بدون تعارف بگو:
❌ چی باعث میشه به این سایت اعتماد نکنی؟
❌ کجا ممکنه صفحه رو ببندی؟
❌ چه چیزی باعث میشه خرید نکنی؟
✅ برای بیشتر شدن فروش چه چیزهایی رو تغییر بدم؟
حالا منتظر جوابش بمون... 👀
چون هوش مصنوعی مثل خودت به سایتت وابسته نیست.
تو ممکنه چند ماه به یه طرا…
یه یادآوری برای امروز... 🤍
لازم نیست امروز همهچیز رو درست انجام بدی، فقط یه قدم بردار.
چون کسی که هر روز ۱٪ جلو میره، آخر سال خیلی جلوتر از کسیه که فقط داره برنامهریزی میکنه.
پس امروز روی کسبوکارت وقت بذار...
حتی اگه فقط ۲۰ دقیقه باشه! 😉🌱
بچهها سلام ❤️
مدتی هست که به خاطر شرایط، کمتر در کانال فعال بودیم، هرچند هنوز هیچ چیز نرمال نشده و نمیشه، ولی خب به معنی تعطیل شدن دراپشیپینگ و کار ما نیست.
مسیر دراپشیپینگ برای ما که از ایران فعالیت میکنیم هیچوقت هموار نبوده؛
الان هم ممکنه امروز اینترنت عالی باشه، فردا وضعیت مشخص نباشه! 🙃
ممکنه یک روز همهچیز ایدهآل باشه و روز بعد با چالش جدیدی روبرو بشیم،
اما ما همیشه راهکارهاش رو پیدا کردیم و باز هم پیدا …
🤖 مقصر ChatGPT نیست!
اکثر آدمها فکر میکنن اگه جواب خوبی از هوش مصنوعی نمیگیرن، مشکل از خود AI هست...
در حالی که مشکل، معمولا نحوهی پرامپت نوشتنه 👇🏻
مثلا به جای اینکه بنویسی:
❌ «یه لوگو طراحی کن.»
اینطوری پرامپت بده:
✅ «فرض کن ۱۵ ساله طراح برندهای لوکس هستی. یه لوگوی مینیمال طراحی کن برای یک برند ... .»
به این تکنیک میگن Role Prompting؛
یعنی قبل از اینکه درخواستت رو بنویسی، اول مشخص کن هوش مصنوعی قراره نقش چه…
👀 پارادوکس انتخاب!
وقتی گزینههای بیشتر، فروش رو کمتر میکنه!
فکر میکنی هرچی محصول بیشتری به مشتری نشون بدی، احتمال خریدش بیشتر میشه؟ 🤔
❌ اتفاقا نتیجه برعکسه!
وقتی مشتری با محصولات زیاد و مختلف روبهرو میشه، ذهنش شروع میکنه به مقایسه کردن که:
«کدوم بهتره؟»
«شاید بعدا گزینه بهتری پیدا کنم...»
و احتمال اینکه بگه
«الان نمیدونم کدوم رو بگیرم، بعدا خرید میکنم!» خیلی بالاتره
پس آخرش به جای خرید، صفحه رو میبنده! 😅
ب…
Showing the 12 most recent of 24 posts we hold for @elmiranekoudropshipping. 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.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
فکر میکنی هرچی محصول بیشتری به مشتری نشون بدی، احتمال خریدش هم بیشتر میشه؟ 🤔
✅ آره22%
❌ نه78%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 24 most recent posts we hold, published 25 December 2025 to 6 November 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
علی سیاه کلاه | Ali Siahkolah @alisiahkolah · 29,518 Telegram ranks this channel #18 of 75 here — alongside 74 others — read 18 September 2026
کانال آموزشی فاطمه نوری @fatimaamozeshh · 55,605 Telegram ranks this channel #25 of 67 here — alongside 66 others — read 26 August 2026
کانال رسمی یزدان جعفرزاده @yazadanjzd · 21,747 Telegram ranks this channel #32 of 67 here — alongside 66 others — read 18 September 2026
آموزش کسب درآمد دلاری از هوش مصنوعی @webmastermentor · 21,399 Telegram ranks this channel #47 of 77 here — alongside 76 others — read 29 September 2026
کانال اصلی راضیه لیدیباس @ladyboss_etemad · 98,605 Telegram ranks this channel #47 of 69 here — alongside 68 others — read 15 August 2026
وحید پارسا | Vahid Parsa @vahidparsaa · 41,390 Telegram ranks this channel #53 of 79 here — alongside 78 others — read 27 August 2026
آوانگارد | هوشمندسازی مشاغل (AI) @arefehmasoudy · 23,160 Telegram ranks this channel #65 of 83 here — alongside 82 others — read 18 September 2026
Hosein @hoseinmind · 280,558 Telegram ranks this channel #76 of 89 here — alongside 88 others — read 10 August 2026
This channel appears in 8 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 8 November 2026 — this
entry's latest reading, not the date you are reading this.
“ElmiraNekou | المیرا نکو” (@elmiranekoudropshipping), 16,166 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/elmiranekoudropshipping.
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.