3 measurements spanning 6 days, net -4. 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 493–499 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 09:07
494
-4
7 Aug 2026, 07:04
498
no change
7 Aug 2026, 03:02
498
first reading
Engagement
20 posts held, back to 15 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 1 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
44.9%
avg views ÷ 494 subscribers
Avg views / post
222
12 posts measured
Reaction rate
2.52%
reactions ÷ views · ER floor
Posts in window
12
of 20 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 2 August 2026
Posts held
20 (15 July 2026 – 2 August 2026)
Views total
2,661
Reactions total
67
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 03:02 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
110 reactions across 20 posts, in 9 distinct kinds. The most used accounts for 29.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
32
29.1%
👏
29
26.4%
❤
16
14.5%
😁
13
11.8%
🙏
6
5.45%
👌
5
4.55%
🔥
5
4.55%
🤔
3
2.73%
😐
1
0.909%
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 20 of the 20 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 110reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 15 July 2026 to 2 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.
این نسخۀ زبان اصلی و کامل کتاب Fuck Content Marketing هست.
✅ اگرم دوست داشتید نسخۀ فارسیش رو بخونید، پستش رو پین کردم.
این کتاب رو طوری خلاصه کردم که اگه نسخۀ اصلی رو نخونید هیچ نکتۀ مهمی رو از دست نمیدید؛ بههمین دلیله که تعداد صفحات نسخۀ خلاصۀ فارسی ۴۸ صفحه شده.
بخشهایی که حذف کردم مربوط به روایتهای شخصی نویسندهست. ضمنا؛ همۀ تصاویرش رو هم به فارسی ترجمه کردم.
هرجایی که فکر کردم نیاز به توضیحات بیشتری هست، ب…
چهار اشتباه رایج مدیران محتوا در بازخورد دادن به تیم
1️⃣ بازخورد بدون داده و سلیقهای
وقتی بازخورد بر اساس «حس شخصی» باشه، همتیمی متوجه این نمیشه که دقیقاً چی باید اصلاح بشه؛ «داده، مثال و شواهد» بازخورد رو شفاف و قابل فهم میکنن.
2️⃣ بازخورد عمومی بهجای اختصاصی
جملههای کلی مثل «خوب نبود» یا «باید بهتر میشد» مسیر اصلاح رو شفاف نمیکنن؛ بازخورد مؤثر به بخش مشخص و قابلمشاهده اشاره میکنه.
3️⃣ تمرکز روی شخص به…
این اواخر برای Content Audit یه وبسایتی که حدود ۶۰۰۰ محتوا داشت، پیشنهاد همکاری گرفتم.
این محتواها توی حدود ۷ سال منتشر شده بودن. بعد از بررسیها و مشورت با تیم سئو، به این نتیجه رسیدیم که حدود ۴۰۰۰ محتوا باید حذف بشه!
دو سه سال پیش هم پروژهای توی حوزۀ گردشگری داشتم.
اون مجموعه توی حدود ۱۰ سال، نزدیک ۱۲ هزار محتوا منتشر کرده بود؛ اونجا هم حدود ۴هزار محتوا رو هم حذف و ۲هزارتا رو ریدایرکت کردیم.
تولید محتوای بیهد…
گپ با ChatGPT دربارهٔ عملیات محتوا (Content Operation)!
قبلش با یک سیستم پرامپ Absolute Mode رو روشن کردم و در ادامهٔ پرامپ نقش و وظیفهش رو مشخص کردم که تا جای ممکن جواب بهتری توی گفتوگو بده.
سوالاتم رو خیلی باید با جزئیات بیشتر بپرسم که پاسخ بهتری بگیرم؛ اینجا متاسفانه اینکارو نکردم. بیشتر یه سروکلهزدن با نسخهٔ جدید ChatGPT بود.
نسخهٔ پلاس خیلی جوابهای بهتری میده. توی نسخهٔ رایگان، حافظهش کوتاههمدته و بر…
خواندن فقط حرکت منظم از یک کلمه به کلمۀ بعدی نیست. چشم روی نقاط مختلف متن میپرد و هر بار که روی بخشی از صفحه متوقف میشود، «تثبیت» اتفاق میافتد.
هرچه واژهها برای خواننده آشناتر باشد، متن سریعتر درک میشود.
حرکت چشم میان دو تثبیت «پرش چشمی» نام دارد. ما هنگام پرش اطلاعاتی دریافت نمیکنیم؛ مغز فاصلههای خالی را خودش تکمیل میکند.
از حدود ۹سالگی، چشم ممکن است ۳۰ درصد متن صفحه را نبیند، اما مغز همچنان محتوای آن را…
همۀ محتواها قرار نیست تبدیل مستقیم ایجاد کنند؛ بعضی محتواها نقش «پاس گل» دارند.
نباید فقط روی نقطۀ تماس اول یا نقطۀ تماس آخر تمرکز کنیم؛ باید کل سفر کاربر را ببینیم.
محتوای رانشی (Push Content)
محتوای رانشی، محتوایی است که سازمان آن را مستقیماً مقابل مخاطب قرار میدهد؛ بدون اینکه او بهدنبال آن باشد. مانند پوستری در ایستگاه اتوبوس یا بیانیهای که برای قشری خاص ارسال میشود.
محتوای کششی (Pull Content)
در وب، معمولاً مخاطب خودش بهدنبال محتوا میرود؛ موضوعی را جستوجو میکند، از میان نتایج انتخاب میکند و وارد صفحه میشود.
بهطور کلی، محتوایی که از زاویۀ دید سازمان تولید شود، ران…
👌2👍2🙏1
Showing the 12 most recent of 20 posts we hold for @hoomanheydariiii. 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 — 673,292 of 1,549,704entries 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.
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 13 August 2026 — this
entry's latest reading, not the date you are reading this.
“هومن حیدری | متخصص بازاریابی محتوایی” (@hoomanheydariiii), 494 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/hoomanheydariiii.
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.