4 measurements spanning 6 days, net -28. 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 4,067–4,103 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 12:07
4,071
-4
10 Aug 2026, 19:12
4,075
-22
7 Aug 2026, 12:47
4,097
-2
7 Aug 2026, 07:16
4,099
first reading
Engagement
13 posts held, back to 12 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 6 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
38.8%
avg views ÷ 4,071 subscribers
Avg views / post
1,580
6 posts measured
Reaction rate
2.88%
reactions ÷ views · ER floor
Posts in window
6
of 13 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 8 August 2026
Posts held
13 (12 June 2026 – 8 August 2026)
Views total
9,481
Reactions total
273
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Aug 2026, 12:25 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
Video runtime
15s
Average length
15s
Measured directly from 1 video 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
540 reactions across 13 posts, in 7 distinct kinds. The most used accounts for 65.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
353
65.4%
👍
81
15.0%
🔥
73
13.5%
⚡
24
4.44%
👎
4
0.741%
😢
3
0.556%
🗿
2
0.37%
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 13 of the 13 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 540reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 13 most recent posts we hold, published 12 June 2026 to 8 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.
خب رسیدیم به معرفی جزییات دوره:
دوره وایبکدینگ مقدماتی
توی این دوره از صفر شروع میکنیم و بدون نیاز به کد نوشتن در نهایت یه سایت شخصی و یه سایت فروشگاهی میسازیم و منتشر میکنیم.
چیزی که یاد میگیریم:
*ایجاد یه سایت شخصی
*ساخت یه سایت حرفهای فروشگاهی آنلاین
*راهاندازی دامنه و سرور از صفر
*تبدیل سایت به نسخه موبایل و وب اپلیکیشن
*تبدیل پروژه به اپلیکیشن اندروید، iOS و دسکتاپ
💬 پشتیبانی:
در طول دوره یه گروه تلگر…
کمخوابیدن بههیچوجه نشونهی دیسیپلین نیست!
ضربالمثلی هست که میگه اگه یک ساعت زمان برای بریدن یه درخت داریم، ۴۵دقیقهش رو باید صرف تیز کردنِ تبر کرد. خوابِ شب، تبرِ تو برای بردن در نبردهای روزت رو تیز میکنه.
خوابِ خوب خودِ خودِ دیسیپلینه. همونطور که دکتر متیو واکر در کتاب «چرا میخوابیم» میگه: «خوابیدن مهمترین بخش زندگیه. اگه بهش بیتوجهی کنی، توی تمام بخشهای زندگی گند میزنی.»
--
🦸🏻♂️ @Prof_Eskandari
به خاطر سؤالهایی که درباره این دوره از ما میپرسید، تصمیم گرفتیم کمی درباره دلیل شکل گرفتنش صحبت کنیم.
من و اعضای تیمم در دستیار و هوشنگ و پروژههای دیگه خیلی از کارهامون رو با ابزار هوش مصنوعی پیش میبریم و البته که منظورمون صرفا گرفتن یه سری خروجی موقت از Ai نیست و داریم باهاش کارهایی رو انجام میدیم که برای انجام هر کدومشون قبلتر نیاز به چندین نفر بود.
تصمیم گرفتیم که چیزی رو که نیاز بازار کاره رو اصولی آموزش …
دوستان عزیز سلام👋
در چند ماه گذشته و با توجه به درخواستها، مشغول طراحی دورهای بودیم که فکر میکنیم استفاده ازش و یادگیری مباحثش یکی از ضروریات حال حاضره.
خیلی خوشحالیم که این دوره بالاخره آماده شده و قصد داریم پیشثبتنام این دوره رو شروع کنیم.
--
🦸🏻♂️ @Prof_Eskandari
هرچه تعداد نظرها بیشتر بشه، احتمال زنده
موندن یه ایدهی جسور کمتر میشه.
یه ضربالمثل معروف مدیریتی هست که میگه:«اگه میخوای ایدهای رو نابود کنی، اون رو به رأیگیری و قضاوت دیگران بسپار.»
--
🦸🏻♂️ @Prof_Eskandari
در تصویر بالا تنها چیزی که تغییر کرده نحوهی توجه ذهنه.
فشار همیشه از شرایط ایجاد نمیشه؛ وقتی توجه روی عوامل خارج از کنترل و اشتباه باشه، ذهن اونا رو به «فشار» تبدیل میکنه و باعث افت کیفیت عملکرد میشه.
--
🦸🏻♂️ @Prof_Eskandari
Instagram • Website • Youtube
کتاب “از خوب به عالی” اثر “جیم کالینز” رو میشه از جمله کتابهای بسیار ارزشمند دونست.
در این کتاب “جیم کالینز” با کمک یه تیم پژوهشی، ۲۸ شرکت رو مورد بررسی قرار داده و به توضیح ویژگی کسبوکارهایی میپردازه که تونستن از خوب به عالی تبدیل بشن.
“جیم کالینز” در این کتاب میگه که راضی شدن به وضعیت خوب خطرناکترین نوع رضایته؛ چرا که انگیزه تلاش برای رسیدن به وضعیت عالی رو کم میکنه و حتی از بین میبره.
کتاب از “خوب به عال…
مردم صرفا محصول نمیخرند، اون رو استخدام میکنند تا کاری براشون انجام بده!
یه مثال معروف هست که میگه: مردم مته یکچهارم اینچی نمیخوان، اونا سوراخ یکچهارم اینچی میخوان!
--
🦸🏻♂️ @Prof_Eskandari
ارزش فقط از ساختن یه محصول ایجاد نمیشه؛ از قرار گرفتن در نقطهای ایجاد میشه که همه برای رسیدن به محصول، مشتری یا بازار باید از اون عبور کنند.
پیتر تیل میگه: قدرتمندترین شرکتها، پلتفرمها هستند!
--
🦸🏻♂️ @Prof_Eskandari
Instagram • Website • Youtube
پادکست BigDeal یکی از پادکستهای خوب در زمینه پیشرفت شغلیه! Codie Sanchez معتقده که مسیرهای سنتی شغلی برای خیلی از افراد دیگه جواب نمیده و در پادکستش با کارآفرینان، سرمایهگذاران، مدیران موفق و نویسندگان گفتگو میکنه تا نشون بده چهجوری میشه:
*درآمد و ثروت بیشتری ساخت.
*کسبوکار راه انداخت یا خرید.
*مستقلتر فکر کرد.
*از دامهای ذهنی و اجتماعی خارج شد.
*زندگی رضایتبخشتری داشت.
لینک یوتیوب پادکست BigDeal
--
🦸🏻…
❤27🔥4⚡1
Showing the 12 most recent of 13 posts we hold for @prof_eskandari. 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 — 273,983 of 1,345,403entries 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 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.
Sepblog | سپهر خدابنده @Sepblog · 281,403 Telegram ranks this channel #28 of 96 here — alongside 95 others — read 10 August 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list 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 13 August 2026 — this
entry's latest reading, not the date you are reading this.
“Professor Eskandari” (@prof_eskandari), 4,071 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/prof_eskandari.
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.