2 measurements spanning 1 day. 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 119–121 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
9 Aug 2026, 04:16
120
no change
7 Aug 2026, 22:00
120
first reading
Engagement
20 posts held, back to 17 June 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
65.4%
avg views ÷ 120 subscribers
Avg views / post
78.5
10 posts measured
Reaction rate
2.18%
reactions ÷ views · ER floor
Posts in window
10
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. It is computed over the 9 of 10 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 5 August 2026
Posts held
20 (17 June 2026 – 5 August 2026)
Views total
785
Reactions total
14
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
9 Aug 2026, 04:16 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
79
Videos
10
Links
42
Lifetime counters from Telegram’s own channel header, read 9 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
12m 26s
Average length
6m 13s
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
49 reactions across 18 posts, in 5 distinct kinds. The most used accounts for 55.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
27
55.1%
👍
8
16.3%
👏
6
12.2%
🔥
5
10.2%
🥰
3
6.12%
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 18 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 49reactions 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 17 June 2026 to 5 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.
میدونید بعد از شرکت در این وبینار چه اتفاقی میافته؟
1️⃣ از مرحلهی آزمونوخطا عبور میکنید و دید روشنی نسبت به قابلیتهای واقعی هوش مصنوعی پیدا میکنید.
2️⃣ میتونید از هوش مصنوعی به سادگی استفاده موثر بکنید
3️⃣در کارتون و زندگی شخصی تون از هوش مصنوعی استفاده میکنید و کار و زندگیتون رو لذت بخش تر می کنید.
4️⃣درآمدتون رو میتونید افزایش بدید.
5️⃣جوری خروجی میگیرید از هوش مصنوعی که اطرافیانتون همه متعجب خواهند شد ک…
من هم که معرف حضورتون هستم:
عباس قربانی | متخصص هوش مصنوعی و دیجیتال مارکتینگ
📍 تجربه کار در بازار ایران، امارات، آمریکا و استرالیا
📍 همکاری با برندهای آموزشی، گردشگری و پلتفرمهای دیجیتال
📍 تخصص در Performance Marketing و بهینهسازی نرخ بازگشت سرمایه
📍 تسلط کامل بر ابزارهای دیجیتال مارکتینگ و هوش مصنوعی
📍 مدرس دورههای موفق در پلتفرمهایی مثل فرادرس
📍 مدیر اجرایی مارتکپدیا – پلتفرم تخصصی مارتک (مارکتینگ تکنولوژی…
و اما نقطه طلایی این وبینار رایگان آموزش هوش مصنوعی اینه:
🚀 راهاندازی کسبوکار در کمتر از ۱۰ دقیقه:
یک استارتاپ واقعی از صفر: از مرحله ایده تا انتخاب نام، شعار تبلیغاتی، کپشن اینستاگرام و تولید تصاویر حرفهای محصول رو در کمتر از ۱۰ دقیقه با هم انجامش میدیم😍😍
خیلی خوبه این بخش 💪
در این وبینار، قدمبهقدم با هم این موارد رو انجام میدهیم:
📚 خلاصهسازی هوشمند:
یک کتاب ۱۸۵ صفحهای انگلیسی رو در چند ثانیه، خلاصه و به یک اینفوگرافیک با فونت فارسی تبدیل میکنیم.
🏋️ برنامه ورزشی و تغذیهی اختصاصی:
یک برنامه ورزشی شخصیسازیشده در قالب جدول، با در نظر گرفتن شرایط فیزیکی خاص شما (مثلا زانودرد) و همچنین سبک تغذیهی خانواده، طراحی میکنیم.
✈️ برنامهریزی سفر:
یک سفر ۴ روزه و اقتصادی به اصفهان با تم…
وبینار «رایگان» هوش مصنوعی از صفر، به زبان ساده و کاربردی بدون پیش نیاز
در این وبینار رایگان، بدون هیچ پیشزمینهی فنی و بدون یک خط کدنویسی، یاد میگیرید چطور از هوش مصنوعی خروجیهایی بگیرید که واقعاً در زندگی و کارتان قابل استفاده باشند.
📆 تاریخ برگزاری: دوشنبه ۱۹ مرداد
🕕 ساعت: 11:00 صبح
لینک ثبتنام رایگان: 👇👇
eseminar.tv/wb180784
eseminar.tv/wb180784
eseminar.tv/wb180784
#هوش_مصنوعی #دیجیتال_مارکتینگ #مارتک_پ…
فارسی یا انگلیسی؟! مساله این است...
❓یک بار با یه مثال واقعی ببینیم آیا فرقی میکنه فارسی یا انگلیسی بنویسیم دستوراتمون به هوش مصنوعی رو؟
✅ توی ویدئو با یک مثال کامل توضیح دادم که چه وقتی پرامپت فارسی خوبه و چه وقتی انگلیسی؟؟
#هوش_مصنوعی #پرامپت_نویسی #پرامپت #پرامپت_هوش_مصنوعی #ترفند_هوش_مصنوعی
✨ دوره آموزش «رایگان» هوش مصنوعی به زبان ساده و مثالهای کاربردی
هوش مصنوعی خیلی از مشاغل رو شکلش رو عوض میکنه و افرادی که در هوش مصنوعی متخصص هستن، آینده خودشون رو تضمین میکنن.
مهم نیست کارتون الان چیه! دانشجو، کارمند، کاسب، دیجیتال مارکتر یا برنامه نویس و...
اگر هوش مصنوعی رو خوب خوب خوب ندونی، مطمئن باش خیلی ریسک بزرگی داری میکنی.
استفاده از هوش مصنوعی درحالی که بسیار ساده است، نکاتی داره که باید بدونید...
در …
🚀 ۸ کاربرد شگفتانگیز Gemini Omni Flash در ویرایش حرفهای ویدیو با هوش مصنوعی
در این ویدیوی آموزشی از کانال ElevenLabs، با قابلیتهای بینظیر مدل هوش مصنوعی Gemini Omni Flash آشنا میشوید.
این ابزار به شما اجازه میدهد تا با دقتی فوقالعاده و تنها از طریق توصیف متنی، اشیاء را به ویدیوهای خود اضافه کنید، عناصر ناخواسته را حذف کنید، نورپردازی روز را به شب تبدیل کنید و سبکهای هنری کاملاً جدیدی خلق کنید
.
اگر به دنبال…
❤3
Signed Abbas Qorbani
Showing the 12 most recent of 20 posts we hold for @martechpedia. 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.
Mentions
Names
Channels on the register whose handles appear in this channel's posts.
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 9 August 2026 — this
entry's latest reading, not the date you are reading this.
“هوش مصنوعی | مارکتینگ تکنولوژی| مارتکپدیا | عباس قربانی” (@martechpedia), 120 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/martechpedia.
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.