محتوا تراپی
درمان کسبوکارها با محتوا
تجربیات و یادداشتهای محتوایی یک محتواپیشه
علی پوربافرانی
@Alipourbafrani
برای سفارش محتوای متنی به
ContentTherapy.ir
سر بزنید.
برای ارتباط با من روی لینک زیر تپ کنید:
alipb.ir/link
Created
25 April 2020 — measured — cross-checked against a third-party dataset (TGDataset)
Technology — 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 88% 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 90 days, net +6. 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 5,918–5,943 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)
Subscribers
Change
4 Nov 2026, 20:47
5,928
+3
2 Nov 2026, 01:30
5,925
+1
30 Oct 2026, 07:08
5,924
-3
27 Oct 2026, 02:47
5,927
-2
24 Oct 2026, 09:01
5,929
-1
21 Oct 2026, 15:09
5,930
-6
18 Oct 2026, 13:35
5,936
+1
15 Oct 2026, 23:07
5,935
+2
13 Oct 2026, 02:27
5,933
-7
6 Oct 2026, 10:00
5,940
+9
29 Sept 2026, 16:21
5,931
-7
19 Sept 2026, 02:59
5,938
+11
14 Sept 2026, 09:16
5,927
-9
11 Sept 2026, 02:19
5,936
+14
6 Sept 2026, 08:41
5,922
-8
2 Sept 2026, 03:32
5,930
-1
30 Aug 2026, 03:06
5,931
+6
26 Aug 2026, 23:11
5,925
-1
24 Aug 2026, 02:03
5,926
-7
20 Aug 2026, 16:53
5,933
first reading
Engagement
44 posts held, back to 28 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 11 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
12.1%
avg views ÷ 5,928 subscribers
Avg views / post
716
16 posts measured
Reaction rate
1.28%
reactions ÷ views · ER floor
Posts in window
18
of 44 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
44 (28 July 2026 – 1 November 2026)
Views total
11,454
Reactions total
147
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
5 Nov 2026, 01:37 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
705
Videos
349
Links
765
Lifetime counters from Telegram’s own channel header, read 5 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
17m 45s
Average length
2m 32s
Measured directly from 7 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
443 reactions across 42 posts, in 15 distinct kinds. The most used accounts for 44.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
198
44.7%
👏
70
15.8%
❤
65
14.7%
🔥
43
9.71%
💯
22
4.97%
🥱
9
2.03%
👌
8
1.81%
🤔
8
1.81%
🤣
6
1.35%
🎉
3
0.677%
😍
3
0.677%
🙏
3
0.677%
🕊
2
0.451%
🤯
2
0.451%
😈
1
0.226%
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 42 of the 44 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 443 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 44 most recent posts we hold, published 28 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: 3 of 18 posts held from the last 30 days (16.7%) 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).
افزونه پارسی گیت - وردپرس
👑 سعید فرد در توییترش نوشت:
۳ ماه پیش بود که افزونه پارسیگیت رو برای وردپرس منتشر کردیم. تا الان فرصت نشده بود در موردش حرفی بزنیم اما امروز این افزونه از مرز ۱۰۰۰ کاربر و نصب فعال گذشت.
🧶 با پارسی گیت شما دیگه نیازی نیست برای درگاه پرداخت ووکامرس، افزونه کد شده بخرید.
https://wordpress.org/plugins/parsigate/
#وردپرس
@ContentTherapy محتواتراپی
جمنای آرگون و ایمیج جیپیتی ۲.۵ هر دو رایگان!
👑 آرنا جدیدا قویترین حالت جمنای 4 آرگون و GPT image 2.5 رو اضافه کرده و کاملا رایگان و با کمترین محدودیت در اختیارتونه!
🧶 آرنا یکی از بزرگترین آزمایشگاههای هوش مصنوعی هست و مدلای معمولی چت جی پی تی 6.1 و Claude Haiku 5.5 رو هم داره و باید با جیمیلتون واردش بشید.
https://arena.ai/text/direct?model_a=gemini-4-argon-high
@ContentTherapy محتواتراپی
📚تور کامل و رایگان شاهنامهگردی🤩
اگه شمام دوست دارید حسابی روی ساختار شاهنامه:
🔅داستانها
🔅رویدادها
🔅شخصیتها
🔅ارتباطات افراد
و فهم واژگان و مفهومش مسلط شید، پادکستها و یادداشتهای تکمیلیش رو مصرف کنید و توی این اقیانوس بزرگ مسافرت کنید سوار کشتی گرانمایهٔ «اطلس شاهنامه» بشید.
بینظیییرهههه!
👇👇👇
https://shahname.mosaic-hub.de/
متن شاهنامه هم براساس تصحیح معتبر مرحوم خالقیمطلقه.
➕فرستهٔ مرتبط
#ابزار
#معرفی
#ا…
گوگل قابلیت جذابی به NotebookLM اضافه کرده که مستقیماً دانشجوها رو هدف گرفته؛ حالا میتونید کاملاً رایگان و بدون پرداخت هیچ هزینهای، به صدها کتاب درسی و مرجع معتبر مستقیماً داخل خود نوتبوک دسترسی داشته باشید.
👑 کافیه عنوان درس رو پیدا کنید، بندازید داخل نوتبوک و ازش بخواید براتون نکتههای کلیدی دربیاره، مباحث سنگین رو به زبان ساده بگه یا کوئیز تمرینی تحویلتون بده.
🧨 این کتابها از ناشران آموزشی بزرگی مثل OpenSt…
هوش مصنوعی درکی از فرهنگ ایرانی نداره!
👑 مدلهای زبانی ممکنه کنایهها، ضربالمثلها، تعارفهای ایرانی یا جزئیات قوانین کشورمون رو اشتباه تفسیر کنن؛ حتی وقتی جوابشون کاملاً منطقی به نظر میرسه.
🧶 برای استفاده مطمئنتر از AI:
- بهش منبع معتبر بده.
- بخواه پاسخ رو با منبع تطبیق بده.
- اطلاعات حساس و تصمیمهای مهم رو مستقل بررسی کن.
🧨 هوش مصنوعی دستیار خوبیه؛ اما نباید قشنگنویسی رو با درستفهمیدن اشتباه بگیریم.
@Co…
👑 ویدیوی دیدنی: من نادرم؛ نگاهی به زندگی و زمانه ی نادرشاه افشار
نگاهی به زندگی و زمانهی نادرشاه افشار؛ شهریاری که تاریخ را بر برندگی تیغ خویش نگاشت.
🧨 در ساخت این ویدیو، تلاش بر آن بوده تا روایتها بر پایهٔ منابع معتبر و مستند تاریخی استوار باشد. اما گسترده بودن ابعاد زندگی، جنگها و جهانداری نادرشاه چنان بود که گنجاندن تمامی جزئیات در یک ویدیو ممکن نشد و تنها گوشهای از این دفتر پرماجرا به تصویر درآمد.
👔 تصاو…
👑 اگر فروشگاه اینترنتی داری، این دو ابزار رو بشناس.
🧶 کارتبهکارت هوشمند کمک میکنه پرداختهای مشتریها رو بهصورت خودکار به سفارشها مرتبط کنی و نیاز به بررسی دستی رسیدها رو کاهش بدی.
🧨 دو سرویس ارائهدهنده این امکان:
cartbecart.com
tcartt.com
☀️ قبل از استفاده، هزینه سرویس، سازگاری با سایتت، پشتیبانی از بانک و نحوه تأیید تراکنشها رو بررسی کن.
#فروشگاه_اینترنتی #کسب_و_کار_آنلاین #ووکامرس #پرداخت_آنلاین
@Conten…
خب از الان به بعد که ai در اختیار همه هست و انجام کارهای سخت ساده شده، اگر ادیت ویدیوهات و محتواهات رنگ و لعاب هوش مصنوعی داشته باشه بازی رو باختی. باید یاد بگیری هویت خودتو داشته باشی و حتی محتواهای ساده و کاربردیتر ولی اصیل خودتو بسازی!
تمام.
با خودمم.
@ContentTherapy محتواتراپی
Showing the 12 most recent of 44 posts we hold for @contenttherapy. 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 7 registered channels — 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.
ایدههای جدید و خلاقانه محتوا - محمد مهدی میرزایی @contentideass · 30,184 Telegram ranks this channel #3 of 79 here — alongside 78 others — read 6 September 2026
آموزش کسب درآمد دلاری از هوش مصنوعی @webmastermentor · 21,367 Telegram ranks this channel #6 of 77 here — alongside 76 others — read 29 September 2026
دانشگاه بازاریابی @iranmarketinguniversity · 110,886 Telegram ranks this channel #8 of 90 here — alongside 89 others — read 15 August 2026
هلیتاک @hellitalk · 20,144 Telegram ranks this channel #9 of 90 here — alongside 89 others — read 28 September 2026
مدرسه نویسندگی|شاهین کلانتری @shahinkalantari · 20,349 Telegram ranks this channel #9 of 91 here — alongside 90 others — read 27 September 2026
مریم مجیدی نژاد|آموزش ادمینی @maryammajidinejadtel · 24,750 Telegram ranks this channel #14 of 78 here — alongside 77 others — read 15 September 2026
ترجمان علوم انسانى @tarjomaanweb · 77,764 Telegram ranks this channel #14 of 96 here — alongside 95 others — read 29 August 2026
مدیران ایران | آموزش مدیریت کسب وکار |modiriran 🕊 @modiriran · 34,253 Telegram ranks this channel #15 of 94 here — alongside 93 others — read 2 September 2026
Mehrsasharoleslam @mehrsasharoleslam · 36,633 Telegram ranks this channel #15 of 92 here — alongside 91 others — read 1 September 2026
هوش مصنوعی | Ehsaneshooon @EhsaneshooonTG · 32,159 Telegram ranks this channel #19 of 79 here — alongside 78 others — read 3 September 2026
مجله | خلاقیت، بدون مرز @AR_NOSRATI · 48,877 Telegram ranks this channel #25 of 90 here — alongside 89 others — read 26 August 2026
کافه کتاب @CafeKetab · 57,605 Telegram ranks this channel #27 of 69 here — alongside 68 others — read 13 September 2026
بیشتر از یک نفر | پیام بهرام پور @bishtarazyek · 50,432 Telegram ranks this channel #31 of 81 here — alongside 80 others — read 28 August 2026
NovinHub | نوین هاب @novinhub · 49,907 Telegram ranks this channel #32 of 86 here — alongside 85 others — read 23 August 2026
🌏 پویش ملي صادرات @Exportcampaign · 22,326 Telegram ranks this channel #33 of 80 here — alongside 79 others — read 20 September 2026
کلارنا📡 @kelarna · 32,157 Telegram ranks this channel #35 of 62 here — alongside 61 others — read 6 September 2026
بنیاد فرهنگ زندگی ـ سهیل رضایی @bonyadfarhangzendegi · 37,168 Telegram ranks this channel #39 of 82 here — alongside 81 others — read 1 September 2026
مدیر وب - آموزش سئو و هوش مصنوعی @modireweb · 49,237 Telegram ranks this channel #41 of 88 here — alongside 87 others — read 11 September 2026
ایمان سرورپور | روان درمانگر @imansarvarpour_masir_academy · 51,516 Telegram ranks this channel #50 of 82 here — alongside 81 others — read 25 August 2026
انجمن مدیران @managersclub · 149,507 Telegram ranks this channel #70 of 86 here — alongside 85 others — read 15 August 2026
This channel appears in 20 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 4 November 2026 — this
entry's latest reading, not the date you are reading this.
“محتواتراپی با علی پوربافرانی” (@contenttherapy), 5,928 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/contenttherapy.
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.