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 12 September 2026 and assigned it the closest of 31 fixed categories, at 70% 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
25 measurements spanning 95 days, net -26. 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 6,012–6,073 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)
Subscribers
Change
9 Nov 2026, 11:56
6,019
-7
6 Nov 2026, 08:58
6,026
-8
3 Nov 2026, 04:10
6,034
-1
30 Oct 2026, 18:39
6,035
+2
27 Oct 2026, 13:58
6,033
-2
24 Oct 2026, 09:01
6,035
-1
21 Oct 2026, 11:27
6,036
-5
18 Oct 2026, 14:15
6,041
-5
15 Oct 2026, 07:58
6,046
-2
12 Oct 2026, 07:00
6,048
-14
5 Oct 2026, 08:59
6,062
+1
27 Sept 2026, 04:01
6,061
-5
17 Sept 2026, 15:41
6,066
+9
13 Sept 2026, 17:36
6,057
+2
9 Sept 2026, 16:56
6,055
-2
4 Sept 2026, 06:21
6,057
+8
31 Aug 2026, 13:28
6,049
+1
28 Aug 2026, 19:53
6,048
+1
25 Aug 2026, 13:54
6,047
-4
22 Aug 2026, 15:24
6,051
first reading
Engagement
46 posts held, back to 27 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 13 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
15.3%
avg views ÷ 6,019 subscribers
Avg views / post
923
18 posts measured
Reaction rate
0.879%
reactions ÷ views · ER floor
Posts in window
18
of 46 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 1 November 2026
Posts held
46 (27 July 2026 – 1 November 2026)
Views total
16,614
Reactions total
146
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
5 Nov 2026, 17:21 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.
Reaction mix
586 reactions across 43 posts, in 5 distinct kinds. The most used accounts for 53.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
312
53.2%
❤
239
40.8%
👏
16
2.73%
😁
12
2.05%
👎
7
1.19%
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 45 of the 46 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 586 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 46 most recent posts we hold, published 27 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.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 18 posts held from the last 30 days (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).
بعضی وقتها یه نتیجه رو میبینیم و براش توضیح و دلیل دلخواهمون رو میچینیم.
فروش زیاد شده، پس تبلیغاتمون خوب بوده!
فالوئر رفته بالا، پس محتوامون خوب بوده!
هیچکس مخالف نبود، پس ایدهمون عالی بوده!
ولی تمام اینا میتونن دلایل دیگهای هم میتونه داشته باشه!
فروش زیاد شده، چون قیمت پایینه!
فالوئر رفته بالا، چون واسه جایزه فالو کردن!
هیچکس مخالف نبود، چون جرات مخالفت نداشتن!
و از اونجایی که من سالهای سال فروشنده شل…
📣 استخدام کارشناس سوشال
مدیا در سنگ کالا
مهارتها و ویژگیهای مورد انتظار:
حداقل ۲ سال سابقه کار مرتبط در حوزه سوشال مدیا
آشنایی با اینستاگرام، یوتیوب و لینکدین و شناخت تفاوتهای محتوایی این پلتفرمها
تسلط به ایدهپردازی و سناریونویسی، بهویژه طراحی هوک جذاب و CTA مؤثر
توانایی تحلیل عملکرد محتوا و استفاده از آمار برای بهبود نتایج
خلاق، ایدهپذیر و علاقهمند به یادگیری
مسئولیتپذیر، منظم و متعهد به زمانبندی
توانایی …
ما به کمک هوش مصنوعی هزینه تولید محتوا رو 75 درصد کاهش دادیم!
اتفاقی که این روزها در خیلی از تیمها به اسم کاهش هزینه به کمک هوش مصنوعی داره رخ میده و تو گزارشها بیان میشه در اصل تبدیل هزینه از شکلی به شکل دیگهس!
یعنی چی؟
یعنی شاید شما هزینه ریالی تولید محتوا و حتی هزینه زمانی رو کاهش داده باشید ولی این هزینه از بین نرفته و فقط منتقل شده و تغییر شکل داده!
به چی؟
به افت تجربه مخاطب از محتوای شما و گم شدن محتو…
#استخدام #کارشناس_فروش
ما در آژانس تبلیغاتی رئیس دنبال آدمهایی هستیم که انگیزه یادگیری دارن، از ارتباط گرفتن نمیترسن و دوست دارن با تلاش خودشون پیشرفت کنن.
لازم نیست حتماً سابقه فروش داشته باشی؛ اگر با دنیای تبلیغات آشنایی داری، روابط عمومی خوبی داری و اهل یادگیری و پیگیری هستی، ما کنارت هستیم تا فروش رو یاد بگیری و قدمبهقدم حرفهایتر بشی.
اینجا قراره چی به دست بیاری؟
یادگیری اصول فروش و مذاکره در فضای واقعی…
📣 استخدام ادمین حرفهای اینستاگرام
به یک ادمین حرفهای، خلاق و تحلیلگر برای مدیریت و رشد پیج اینستاگرام نیازمندیم.
مهارتها و شرایط موردنیاز:
🔹 تسلط به الگوریتم اینستاگرام و شناخت سازوکار اکسپلور و ریلز
🔹 توانایی آنالیز تخصصی پیج و بررسی نقاط قوت و ضعف
🔹 ارائه جدول تقویم محتوایی منظم و هدفمند
🔹 تحلیل آمار بازدید، تعامل، سیو، اشتراکگذاری و جذب فالوور
🔹 توانایی ایدهپردازی بر اساس ترندها و نیاز مخاطب
🔹 ارائه راهکا…
استخدام متخصص سئو و لینک سازی خارجی
🚀 صندلی خالی تیم سئو!
اگه فکر میکنی میتونی با لینکسازی حرفهای، ترافیک واقعی بسازی… این آگهی دقیقاً برای توئه!
ما یه تیم باحال و منظمیم که هرکسی کار خودشو دقیق انجام میده:
🔍 یکی تحقیق کلمات کلیدی میکنه
✍️ یکی محتوای سئو شده مینویسه
و حالا جای تو خالیه...
🎯 تو قراره این کارا رو انجام بدی:
🔹 تدوین استراتژی محتوا
🔹 نوشتن بریف محتوایی و بررسی محتوای تولید شده
🔹 تحلیل دادههای …
با کمک هوش مصنوعی اکثر ما داریم محتوای بیشتری تولید میکنیم ولی یه نکته اساسی وجود داره و اون اینه که نتیجه این افزایش تولید چقدر برای ما قابل سنجشه و آیا این بالا بردن تعداد محتوا باعث شده شاخصهای موفقیت محتوا برامون بیارزش بشه؟
اگه واقعا AI و هزینه پایین تولید و سهولت باعث شده که این طرز فکر ایجاد بشه که:
حالا این که هزینهای نداشت
حالا اینکه زمانی نبرد
و... و سر همین طرز فکر بررسی شاخصها رو گذاشتید کنار به نظر…
بیلبورد فیلم Clayface با تکیه بر ویژگی شخصیت اصلی فیلم
کلیفیس از شخصیتهای دنیای بتمنه که بدنش قابلیت تغییر شکل داره. توی این طرح هم انگار بیلبورد شکل ثابتش رو از دست داده، از قاب بیرون زده و تا کف خیابون چکیده.
خود فیلم هم توی دستهبندی Body Horror قرار میگیره؛ وحشتی که از تغییر شکل و آسیبهای بدنی میاد و تماشاش برای همه مناسب نیست.
@contentkade
جسارتِ داشتن یک نظر مشخص؛ حتی وقتی همه موافقش نیستن.
وقتگذاشتن برای شنیدن تجربههای واقعی مشتریها.
ریسکِ داشتن لحن و اجرایی که کمی با بقیه فرق داره.
صبر برای ادامهدادن یک مسیر و ساختن اعتماد.
بیان تجربیات واقعی کسب و کار
این 5 تا مورد همون چیزاییه که تو عصر هوش مصنوعی که محتوا از در و دیوار داره میریزه به شدت نیازتون میشه.
تو شرایط امروز تولید محتوا دیگه چالش سخت و عجیبی نیست چون کافیه اراده کنی تا رنگ به رنگ …
تا وقتی ندونی چی بسازی، دیگه فرقی نمیکنه با چی بسازی.
مساله ایدهس نه ابزار.
اگه اینو درک نکنی بایدم نگران هوش مصنوعی پ جایگزین شدنت باشی.
@contentkade
❤10👍2
Showing the 12 most recent of 46 posts we hold for @contentkade. 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.
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
Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
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.
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.
انجمن مدیران @managersclub · 147,735 Telegram ranks this channel #8 of 86 here — alongside 85 others — read 15 August 2026
مدرسه نویسندگی|شاهین کلانتری @shahinkalantari · 20,349 Telegram ranks this channel #10 of 91 here — alongside 90 others — read 27 September 2026
Mehrsasharoleslam @mehrsasharoleslam · 36,633 Telegram ranks this channel #11 of 92 here — alongside 91 others — read 1 September 2026
دانشگاه بازاریابی @iranmarketinguniversity · 110,886 Telegram ranks this channel #11 of 90 here — alongside 89 others — read 15 August 2026
ایدههای جدید و خلاقانه محتوا - محمد مهدی میرزایی @contentideass · 30,183 Telegram ranks this channel #13 of 79 here — alongside 78 others — read 6 September 2026
مدیران ایران | آموزش مدیریت کسب وکار |modiriran 🕊 @modiriran · 34,182 Telegram ranks this channel #13 of 94 here — alongside 93 others — read 2 September 2026
NovinHub | نوین هاب @novinhub · 49,907 Telegram ranks this channel #15 of 86 here — alongside 85 others — read 23 August 2026
آگهی🥇استخدام🎗کاریابی دندانپزشکی پزشکی @estekhdami_com · 22,670 Telegram ranks this channel #16 of 67 here — alongside 66 others — read 18 September 2026
🌏 پویش ملي صادرات @Exportcampaign · 22,323 Telegram ranks this channel #19 of 80 here — alongside 79 others — read 20 September 2026
هوش مصنوعی | Ehsaneshooon @EhsaneshooonTG · 32,152 Telegram ranks this channel #20 of 79 here — alongside 78 others — read 3 September 2026
کاوه راد @kavehrad · 34,791 Telegram ranks this channel #23 of 90 here — alongside 89 others — read 2 September 2026
پادکست دغدغه ایران - کانال رسمی @dirancast_official · 20,572 Telegram ranks this channel #25 of 94 here — alongside 93 others — read 26 September 2026
سامانه کاریابی دانشگاه های تهران @job_ut · 27,070 Telegram ranks this channel #25 of 87 here — alongside 86 others — read 14 September 2026
YEnglishtube @Yenglish · 26,272 Telegram ranks this channel #25 of 87 here — alongside 86 others — read 12 September 2026
💢 تفکرات پیمان @tafakkoratpeyman · 26,111 Telegram ranks this channel #26 of 89 here — alongside 88 others — read 12 September 2026
Mindq @mindqinfo · 27,366 Telegram ranks this channel #26 of 84 here — alongside 83 others — read 10 September 2026
بیشتر از یک نفر | پیام بهرام پور @bishtarazyek · 50,307 Telegram ranks this channel #26 of 81 here — alongside 80 others — read 28 August 2026
Virauniversity | ویرا @virauniversitycom · 382,191 Telegram ranks this channel #27 of 90 here — alongside 89 others — read 10 August 2026
مدیر وب - آموزش سئو و هوش مصنوعی @modireweb · 49,908 Telegram ranks this channel #28 of 88 here — alongside 87 others — read 11 September 2026
کافه کتاب @CafeKetab · 57,605 Telegram ranks this channel #29 of 69 here — alongside 68 others — read 13 September 2026
مجله | خلاقیت، بدون مرز @AR_NOSRATI · 48,803 Telegram ranks this channel #30 of 90 here — alongside 89 others — read 26 August 2026
ایمان سرورپور | روان درمانگر @imansarvarpour_masir_academy · 51,526 Telegram ranks this channel #36 of 82 here — alongside 81 others — read 25 August 2026
دایرکتم @directam_ir · 1,892 Telegram ranks this channel #42 of 79 here — alongside 78 others — read 25 August 2026
EMC @emcgolestan · 19,928 Telegram ranks this channel #47 of 85 here — alongside 84 others — read 2 October 2026
This channel appears in 32 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 9 November 2026 — this
entry's latest reading, not the date you are reading this.
“ContentKade” (@contentkade), 6,019 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/contentkade.
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.