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)
4 measurements spanning 4 days. 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 5,921–5,922 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
10 Aug 2026, 08:46
5,922
+1
6 Aug 2026, 22:54
5,921
-1
6 Aug 2026, 15:15
5,922
no change
6 Aug 2026, 15:08
5,922
first reading
Engagement
26 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 9 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
13.5%
avg views ÷ 5,922 subscribers
Avg views / post
799
25 posts measured
Reaction rate
1.48%
reactions ÷ views · ER floor
Posts in window
26
of 26 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 11 August 2026
Posts held
26 (28 July 2026 – 11 August 2026)
Views total
19,974
Reactions total
296
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 03:43 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
647
Videos
290
Links
700
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
3m 00s
Average length
1m 30s
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
296 reactions across 26 posts, in 13 distinct kinds. The most used accounts for 42.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
127
42.9%
👏
60
20.3%
❤
45
15.2%
💯
21
7.09%
🔥
13
4.39%
🥱
8
2.70%
👌
7
2.36%
🤔
7
2.36%
🎉
2
0.676%
🕊
2
0.676%
🙏
2
0.676%
😍
1
0.338%
🤯
1
0.338%
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 26 of the 26 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 296reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 26 most recent posts we hold, published 28 July 2026 to 11 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.
هوش مصنوعی کلود از این پس نوشتههایش را به شکل نامرئی امضا میکند
🧶 از این به بعد، هر متنی که با مدلهای جدید کلود تولید بشه، یه «امضای نامرئی» توی خودش داره. این واترمارک رو چشم انسان نمیبینه، ولی نرمافزارها میتونن شناساییش کنن.
🤖 این امضا مستقیما در سطح مدل هوش مصنوعی قرار میگیره — پس مهم نیست از طریق اپلیکیشن کلود، API یا حتی سرویسهای ابری مثل AWS استفاده کنی؛ ردپا همیشه اونجاست.
🖼️ برای تصاویر هم و…
اکستنشن «کتابجو»
👑 به زبان ساده یک ابزار دم دستی واسه پیدا کردن کتاب در کانالهای تلگرامی. هر توضیح دیگه مازاد محسوب میشه بجز اینکه فعلا نزدیک به یک میلیون لینک با توضیحات از کانالهای تلگرامی ثبت شده و همچنان ادامه داره...
https://chromewebstore.google.com/detail/%DA%A9%D8%AA%D8%A7%D8%A8%D8%AC%D9%88/ilinfhoghcmfeoocmnkhiceleolmhllb
منبع: +
@ContentTherapy محتواتراپی
خواستم بگم که این ابزار کاربردی رو روی موبایل هم میتونید استفاده کنید. فقط برای اینکه درست کار کنه، باید چندتا نکته رو رعایت کنید.
اول از همه، مرورگر یاندکس رو از گوگلپلی دانلود و نصب کنید. این ابزار فعلاً روی یاندکس جواب میده، چون این مرورگر از اکستنشنهای کروم پشتیبانی میکنه.
Yandex
بعد از نصب مرورگر، از طریق لینکی که براتون گذاشتم، اکستنشن رو به یاندکس اضافه کنید.
Livdub
در مرحله بعد باید API Key جمینای رو …
🟠ساخت ویدیوی AI فقط پرامپتنویسی نیست!
از بریف و ایدهپردازی تا سناریو، استوریبرد، تولید پلانها و تدوین نهایی؛ پشت یک ویدیوی AI حرفهای، یک مسیر کامل تولید قرار داره.
در مقاله جدید استودیو تهران کانتنت، صفر تا صد سفارش و تولید ویدیوی AI، هزینهها و نکاتی که قبل از شروع باید بدونید رو بررسی کردیم.
برای مطالعه مقاله کلیک کنید:👇🏻
https://tehrancontent.studio/ai-video-ordering/
🤝ارتباط با ما: https://tehrancontent.s…
در این وبینار یاد میگیری:
✅ چطور موضوع درست دوره را پیدا کنی
✅ چطور آموزش خودت را ساختاربندی کنی
✅ چطور اولین مخاطبان و خریداران را پیدا کنی
✅ چطور مسیر آزمون و خطا را کوتاهتر کنی
اگر مدتهاست میدونی چیزی برای آموزش داری،
اما نمیدونی از کجا شروع کنی...
این وبینار میتونه نقطه شروع خوبی باشه
ثبتنام و دریافت اطلاعات بیشتر
+989359984551
بله یا تلگرام
📕کتاب LLM به زبان آدمیزاد، راهنمای کامل و خودمونی کار با مدلهای زبانی بزرگ
اگه میخوای بفهمی چطور با ChatGPT، Claude و بقیه مدلها حرف بزنی و نتیجه بهتر بگیری، این یکی از بهترین منابع فارسی موجوده.
- مفاهیم پایه (توکن، امبدینگ، معماری)
- پرامپتنویسی از صفر
- پارامترها و کار با API
- نکات مخصوص زبان فارسی
- مدیریت هزینه و ...
🧶 مشاهده و دانلود از:
https://github.com/3lf/llm-for-humans
منبع: +
@ContentTherapy م…
انتخاب فونت زیبا برای استوری
با سرویس Fonto، رایگان و تحت وب
متنتون رو حالت بدید و بعد کپی کنید توی اینستاگرام تا استوریتون با فونتای زیبا دیده بشه.
اگر دوست داشتید، از علامت قلب به سازنده مبلغی بپردازید تا لایسنس تجاری بخره و فونتهای بهتری براتون بذاره.
لینک سایت:
https://fontwow.github.io/#/app
#ابزار
#شبکه_اجتماعی
🌱@Content_Life | محتوازیست
اگر تولیدکننده محتوا هستی و همیشه برای ساخت ابزار، سایت یا اتوماسیون ایده داری، اما فکر میکنی بدون برنامهنویسی شدنی نیست...
🤖 توی این وبینار یاد میگیری چطور با کمک AI، بدون دانش کدنویسی، ایدههات رو به ابزارهای واقعی تبدیل کنی.
مثلاً:
• ساخت سایت و لندینگ اختصاصی
• ساخت افزونه وردپرس
• ساخت وباپ و پنلهای ساده
• ساخت بات تلگرام و بله
• اتوماسیون کارهای تکراری تولید محتوا
💰 علاوه بر ساخت محصول، یاد میگیری چطور…
قابلیتِ ChatGPT Translate منتشر شد!
👑 یک محیط متمرکز و سادهشده برای ترجمه در داخل وبسایت ChatGPT با پشتیبانیِ بیش از ۴۰ زبان و ۷۱ گزینهیِ زبانی و منطقه ای از جمله فارسی.
https://chatgpt.com/translate/
@ContentTherapy محتواتراپی
👍8❤3👏1🔥1
Showing the 12 most recent of 26 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.
Citation-graph rank
Citation-graph rank — 421,838 of 1,160,990entries 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
Named by 6 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.
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 August 2026 — this
entry's latest reading, not the date you are reading this.
“محتواتراپی با علی پوربافرانی” (@contenttherapy), 5,922 subscribers as measured 10 August 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.