Telegram RegisterThe public register of Telegram

Channel

دانشگاه اکسل

@Exceluni

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

13,846subscribers

+71 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001158289688
TypeChannel
Username@Exceluni
Descriptionhttps://exceluni.ir ارتباط با ما از طریق سایت دانشگاه اکسل دانشگاه اکسل مرجعی تخصصی برای آموزش کاربردی اکسل و هوش تجاری خواهد بود. info@exceluni.ir محمد سوری کارشناسی مهندسی صنایع ● ارشد سیستم های اقتصادی اجتماعی
CreatedBetween 1 March 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/Exceluni

Growth

13,77513,84613,810.56 August 2026 — 13,775 subscribers6 August 2026 — 13,779 subscribers7 August 2026 — 13,788 subscribers9 August 2026 — 13,790 subscribers10 August 2026 — 13,801 subscribers11 August 2026 — 13,809 subscribers12 August 2026 — 13,810 subscribers13 August 2026 — 13,846 subscribers6 August 202613 August 2026
8 measurements spanning 7 days, net +71. 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 13,764–13,857 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 09:2513,846+36
12 Aug 2026, 09:4313,810+1
11 Aug 2026, 10:4613,809+8
10 Aug 2026, 12:0113,801+11
9 Aug 2026, 11:3213,790+2
7 Aug 2026, 15:4513,788+9
6 Aug 2026, 18:4413,779+4
6 Aug 2026, 04:0413,775first reading

Engagement

28 posts held, back to 22 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 19 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
4.82%
avg views ÷ 13,846 subscribers
Avg views / post
668
28 posts measured
Reaction rate
0.325%
reactions ÷ views · ER floor
Posts in window
28
of 28 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 25 of 28 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 12 August 2026
Posts held28 (22 July 202612 August 2026)
Views total18,702
Reactions total57
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Aug 2026, 17:11 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
394
Videos
424
Links
2,600

Lifetime counters from Telegram’s own channel header, read 13 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
12m 33s
Average length
1m 08s

Measured directly from 11 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

57 reactions across 25 posts, in 4 distinct kinds. The most used accounts for 66.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3866.7%
👍1221.1%
👏47.02%
🔥35.26%

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 25 of the 28 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 57reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 28 most recent posts we hold, published 22 July 2026 to 12 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.

Recent posts

12 Aug 2026, 18:49 UTC113 viewsread 13 August 2026
Forwarded from @tabadolhyper

🧠 مرجع تخصصی روانشناسی: همه‌چیز در یک فولدر! (دسترسی رایگان به برترین منابع آموزشی) • کنکور ارشد/دکتری (جزوات نفرات برتر، تست‌های سال گذشته، صفر تا صد وزارت بهداشت) • کارگاه‌های معتبر (دکتر صاحبی، شخصیت، اختلالات DSM5، مشاوره زناشویی) • کتاب‌های نایاب + پایان‌نامه‌ها (خلاصه‌های یک‌برگی، ترجمه مقالات نوروساینس، پرسشنامه‌های استاندارد) 🎧 پلاس‌های طلایی: ـ مکالمه حرفه‌ای انگلیسی (اصطلاحات روزمره، انیمیشن زبان اصلی) ـ تر

12 Aug 2026, 18:45 UTC237 views2 reactionsread 13 August 2026
File

🟩📊 دانشگاه اکسل | Excel University 🔰 مقاله شماره پنج| ابزاری جالب و کاربردی در تب هوم 💡 یاد می‌گیریم: ✍️ استفاده از ابزار Center Across Selection در اکسل 👨‍🏫 مدرس: محمد سوری 🌐 سایت: Exceluni.ir 🆔 کانال بله: ble.ir/exceluniforall 💚 اگر این آموزش برات مفید بود، با انتخاب «پیشنهاد برای مجله» از ما حمایت کن تا افراد بیشتری از این آموزش استفاده کنند. 🌱 ━━━━━━━━━━━━━━━━━━ دانشگاه اکسل | از مبتدی تا حرفه‌ای با اکسل

2

12 Aug 2026, 11:13 UTC303 views2 reactionsread 13 August 2026
Video

🔰عنوان آموزش ۵۳: استفاده از نامگذاری برای محاسبه میانگین داده ها 🟢 مدرس: محمد سوری 👇👇👇👇👇👇 تلگرام: 🆔 @Exceluni 👇👇👇👇👇👇 سایت: 🆔 Exceluni.ir 👇👇👇👇👇👇 اینستاگرام: 🆔 https://instagram.com/exceluni 👇👇👇👇👇👇 آپارات: 🆔 https://www.aparat.com/exceluni 👇👇👇👇👇👇 یوتیوب: 🆔 https://www.youtube.com/@ExceluniForAll 👇👇👇👇👇👇 بله: 🆔 https://ble.ir/exceluniforall 👈 اگر این ویدیو رو دوست داشتی با بقیه به اشتراک بذار. دمت گرم 👍👍 ‌ #آموزش #آم

2

11 Aug 2026, 05:52 UTC385 views2 reactionsread 13 August 2026

✍ کوچکترین قدم ها منجر به بزرگترین تغییرات می شوند. https://ble.ir/exceluniforall #قابل_تامل

2

10 Aug 2026, 14:28 UTC459 viewsread 13 August 2026
Video

🔰عنوان آموزش ۵۲: کلیدهای میانبر کاربردی برای جا به جایی اطراف یک سلول در اکسل 🟢 مدرس: محمد سوری 👇👇👇👇👇👇 تلگرام: 🆔 @Exceluni 👇👇👇👇👇👇 سایت: 🆔 Exceluni.ir 👇👇👇👇👇👇 اینستاگرام: 🆔 https://instagram.com/exceluni 👇👇👇👇👇👇 آپارات: 🆔 https://www.aparat.com/exceluni 👇👇👇👇👇👇 یوتیوب: 🆔 https://www.youtube.com/@ExceluniForAll 👇👇👇👇👇👇 بله: 🆔 https://ble.ir/exceluniforall 👈 اگر این ویدیو رو دوست داشتی با بقیه به اشتراک بذار. دمت گرم 👍👍

9 Aug 2026, 14:23 UTC471 views1 reactionsread 13 August 2026
File

🟩📊 دانشگاه اکسل | Excel University 🔰 مقاله شماره چهار | ثابت نمودن سطرها و ستون ها در اکسل 💡 یاد می‌گیریم: ✍️ چگونه، سطر یا ستون را ثابت نماییم تا بتوانیم داده ها را تشخیص دهیم 👨‍🏫 مدرس: محمد سوری 🌐 سایت: Exceluni.ir 🆔 کانال بله: ble.ir/exceluniforall 💚 اگر این آموزش برات مفید بود، با دیگران به اشتراک بگذار دمت گرم 🌱 ━━━━━━━━━━━━━━━━━━ دانشگاه اکسل | از مبتدی تا حرفه‌ای با اکسل ━━━━━━━━━━━━━━━━━━ #دانشگاه_اک

👍1

9 Aug 2026, 05:42 UTC528 views2 reactionsread 13 August 2026
Video

🔰عنوان آموزش ۵۱: مقایسه فروش واقعی با برنامه ای با روشی جالب در اکسل 🟢 مدرس: محمد سوری 👇👇👇👇👇👇 تلگرام: 🆔 @Exceluni 👇👇👇👇👇👇 سایت: 🆔 Exceluni.ir 👇👇👇👇👇👇 اینستاگرام: 🆔 https://instagram.com/exceluni 👇👇👇👇👇👇 آپارات: 🆔 https://www.aparat.com/exceluni 👇👇👇👇👇👇 یوتیوب: 🆔 https://www.youtube.com/@ExceluniForAll 👇👇👇👇👇👇 بله: 🆔 https://ble.ir/exceluniforall 👈 اگر این ویدیو رو دوست داشتی با بقیه به اشتراک بذار. دمت گرم 👍👍 ‌ #آموزش

2

7 Aug 2026, 07:15 UTC628 views4 reactionsread 13 August 2026
Video

🔰عنوان آموزش ۵۰: فارسی نمودن اعداد نمودار در اکسل (شماره دو ) 🟢 مدرس: محمد سوری 👇👇👇👇👇👇 تلگرام: 🆔 @Exceluni 👇👇👇👇👇👇 سایت: 🆔 Exceluni.ir 👇👇👇👇👇👇 اینستاگرام: 🆔 https://instagram.com/exceluni 👇👇👇👇👇👇 آپارات: 🆔 https://www.aparat.com/exceluni 👇👇👇👇👇👇 یوتیوب: 🆔 https://www.youtube.com/@ExceluniForAll 👇👇👇👇👇👇 بله: 🆔 https://ble.ir/exceluniforall 👈 اگر این ویدیو رو دوست داشتی با بقیه به اشتراک بذار. دمت گرم 👍👍 ‌ #آموزش #آموزش_

👍31

5 Aug 2026, 19:13 UTC695 views4 reactionsread 13 August 2026
Video

🔰 عنوان آموزش ۴۹: فارسی کردن اعداد در نمودار اکسل- شماره یک 👈 این آموزش خیلی کاربردیه! 🟢 مدرس: محمد سوری سایت رسمی ما: 🌐 https://exceluni.ir 🚀 اکسل رو حرفه‌ای یاد بگیر! 🆔 شناسه کانال بله: https://ble.ir/exceluniforall اگه این آموزش براتون مفید بود، با زدن فلش ⬆️ و انتخاب «پیشنهاد برای مجله» کمک کن دوستان بیشتری آموزش ببینند. دمتون گرم🌹🌹 #آموزش #آموزش_اکسل

2👍2

5 Aug 2026, 07:01 UTC642 views1 reactionsread 13 August 2026

https://youtube.com/shorts/A0LZhtE6oUQ?feature=share

1

4 Aug 2026, 07:17 UTC720 views2 reactionsread 13 August 2026
File

🟩📊 دانشگاه اکسل | Excel University 🔰 مقاله شماره سه | استفاده کاربردی از ابزار کپی کردن ویژه در اکسل 💡 یاد می‌گیریم: ✍️ با کاربردهای پیست اسپیشیال آشنا شویم 👨‍🏫 مدرس: محمد سوری 🌐 سایت: Exceluni.ir 🆔 کانال بله: ble.ir/exceluniforall @Exceluni ➡️ 💚 اگر این آموزش برات مفید بود، با انتخاب «پیشنهاد برای مجله» از ما حمایت کن تا افراد بیشتری از این آموزش استفاده کنند. 🌱 ━━━━━━━━━━━━━━━━━━ دانشگاه

1👍1

Showing the 12 most recent of 28 posts we hold for @Exceluni. 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 — 1,102,723 of 1,176,251entries 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

Republishes

Channels on the register whose posts this channel has forwarded.

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 2 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.

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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“دانشگاه اکسل” (@Exceluni), 13,846 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/Exceluni.

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.