4 measurements spanning 7 days, net +78. 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 7,206–7,308 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 06:33
7,296
+6
9 Aug 2026, 21:22
7,290
+66
7 Aug 2026, 02:52
7,224
+6
6 Aug 2026, 05:04
7,218
first reading
Engagement
30 posts held, back to 22 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 11 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
18.4%
avg views ÷ 7,296 subscribers
Avg views / post
1,340
25 posts measured
Reaction rate
0.602%
reactions ÷ views · ER floor
Posts in window
26
of 30 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 8 of 25 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 12 August 2026
Posts held
30 (22 June 2026 – 12 August 2026)
Views total
33,545
Reactions total
64
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 17:45 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
127 reactions across 10 posts, in 2 distinct kinds. The most used accounts for 70.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
89
70.1%
👎
38
29.9%
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 11 of the 30 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 127reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 30 most recent posts we hold, published 22 June 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.
#مناسبت
هنگامه رنج و غم و ماتم شده امشب
گریان، زغمی دیده عالم شده امشب
پایان شب آخر ماه صفر است این
یا آنکه ز نو ماه محرّم شده امشب
از داغ جگر سوز نبی سیّد ابرار
نخل قد زهرا و علی خم شده امشب
وفات حضرت رسول اکرم (ص) و شهادت امام حسن مجتبی (ع) را تسلیت عرض میکنیم
〰️〰️〰️〰️〰️〰️〰️〰️〰️
🆔 @shariftechpark
#نظرسنجی
تا حالا با صندوق پژوهش و فناوری شریف کار کردهاید؟ یا هنوز به مرحله استفاده از خدمات این صندوق نرسیدهاید؟
(ما میخواهیم تجربه خودتان را از طریق یک نظرسنجی با ما به اشتراک بگذاريد)
🔷️ برای ما مهم است بدانیم چه چیزهایی در این مسیر برای شما مفید بوده و چه چیزهایی میتواند بهتر شود؟
📌 پاسخهای شما میتواند به بهبود نقاط قوت صندوق شریف کمک کند و مسیر ارائه خدمات را برای شرکتهای فناور بهبود بخشد.
⏱️ برای ت…
#آموزش
📑 کارگاه هوش مصنوعی و روندهای اتوماتیک
👨🏫 مدرس: محمود (امین) علیپور
• توسعهدهنده فولاستک هوش مصنوعی با بیش از ۱۱ سال تجربه در توسعه محصولات هوشمند، خودروهای خودران، چتباتها و سامانههای بلادرنگ
• مهندس هوش مصنوعی سابق فیات ایتالیا و کوگنیت آی بلژیک
• مدیر سابق تیم خودروهای خودران جتکو (ایرانخودرو)
• کارشناسی ارشد فیزیک از دانشگاه تهران
🚀 با ابزارهای هوش مصنوعی، مسیر کسبوکار خود را هوشمندتر و فرآینده…
📌پنجمین کارگاه از مجموعه کارگاههای تخصصی بازسازی کسبوکارهای فناور پس از بحران
📑 کارگاه «بازسازی سئو و داراییهای دیجیتال در اینترنت ناپایدار»
👨🏫 مدرس: سعید اسلامنژاد
• مدیرعامل آژانس سئو آراکو
🚀 در این کارگاه، راهکارهای عملی برای بازیابی جایگاه دیجیتال کسبوکارها و افزایش تابآوری کانالهای آنلاین پس از اختلالات اینترنتی بررسی خواهد شد.
🧠 سرفصلها:
🔹 بازیابی رتبههای از دست رفته در موتورهای جستجو
🔹 بازطراحی ا…
#همرسانی
پارک علم و فناوری سیستان و بلوچستان برگزار میکند:
وبینار "بررسی فرصتهای بزرگ بازار صادراتی و همکاریهای تجاری در بازار نزدیک پاکستان"
📆 تاریخ: دوشنبه ۱۹ مرداد
⏰ ساعت: ۱۱ الی ۱۲
لینک ورود به وبینار در پوستر رویداد
〰️〰️〰️〰️〰️〰️〰️〰️〰️
🆔 @shariftechpark
#آموزش
📌 سومین کارگاه از مجموعه کارگاههای تخصصی بازسازی کسبوکارهای فناور پس از بحران
📑 کارگاه «بازسازی صادرات و واردات پس از جنگ»
👨🏫 مدرس: دکتر مرتضی قدمگاهی
• مدیرعامل شرکت حملونقل بینالمللی کیان کارگو
• رئیس کمیسیون لجستیک و زنجیره تأمین خانه صمت جوانان ایران
🚀 در این کارگاه، راهکارهای عملی برای تداوم واردات و صادرات در شرایط تغییر مسیرهای لجستیکی، محدودیتهای مالی و افزایش ریسکهای بینالمللی بررسی خواهد …
📌 *اطلاعرسانی تغییر زمان برگزاری کارگاه*
با عرض پوزش، به اطلاع میرساند زمان برگزاری کارگاه:
📑 *مالیات بر ارزش افزوده، مالیات بر درآمد و مقررات مالیاتی شرکتها*
به دلیل تغییر در برنامه مدرس، از تاریخ ۱۹ مرداد ۱۴۰۵ به ۴ شهریور ۱۴۰۵ منتقل شد.
از همراهی و شکیبایی شما سپاسگزاریم.
#آموزش
📑 کارگاه «حفظ کارآمدی در شرایط پرابهام | بازگشت قدرتمند از چالشها»
👩🏫 تسهیلگر: ندا طاهری
• کوچ مدیران و تیمهای سازمانی در توسعه قابلیتهای رهبری و تصمیمگیری
• دارای گواهینامه بینالمللی Professional Coaching (ACTP)
• بیش از ۷۰۰ ساعت تجربه تدریس، کوچینگ و تسهیلگری در حوزه مهارتهای فردی و ارتباطی
🚀 در روزهایی که تغییر، فشار و ابهام بخشی از واقعیت کار و زندگی حرفهای شدهاند، حفظ کارآمدی فردی و تیمی بیش ا…
#آموزش
📌 سومین کارگاه از مجموعه کارگاههای تخصصی بازسازی کسبوکارهای فناور پس از بحران
📑 کارگاه «بازسازی صادرات و واردات پس از جنگ»
👨🏫 مدرس: دکتر مرتضی قدمگاهی
• مدیرعامل شرکت حملونقل بینالمللی کیان کارگو
• رئیس کمیسیون لجستیک و زنجیره تأمین خانه صمت جوانان ایران
🚀 در این کارگاه، راهکارهای عملی برای تداوم واردات و صادرات در شرایط تغییر مسیرهای لجستیکی، محدودیتهای مالی و افزایش ریسکهای بینالمللی بررسی خواهد …
#مناسبت
🖤بلبلان آمده گل ها همه پرپر گشتند
حرم الله دوباره به حرم برگشتند
زائر پیکر صد پارة بی سر گشتند
همگی دور مزار علی اکبر گشتند
(اربعین حسینی تسلیت باد)
〰️〰️〰️〰️〰️〰️〰️〰️〰️
🆔 @shariftechpark
👍20👎10
Showing the 12 most recent of 30 posts we hold for @shariftechpark. 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 — 19,694 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
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 12 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 13 August 2026 — this
entry's latest reading, not the date you are reading this.
“پارک علم و فناوری شریف” (@shariftechpark), 7,296 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/shariftechpark.
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.