3 measurements spanning 7 days, net +1. 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 229–230 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
1 Sept 2026, 05:17
230
+1
25 Aug 2026, 02:46
229
no change
25 Aug 2026, 02:30
229
first reading
Engagement
20 posts held, back to 16 September 2024 — 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 page of Telegram’s post history, 20 posts per page.
ERR · 30 days
20.7%
avg views ÷ 230 subscribers
Avg views / post
47.5
2 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
2
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 14 August 2026
Posts held
20 (16 September 2024 – 14 August 2026)
Views total
95
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
25 Aug 2026, 02:46 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
8 reactions across 5 posts, in 3 distinct kinds. The most used accounts for 50.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👎
4
50.0%
❤
3
37.5%
👍
1
12.5%
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 5 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 8 reactions 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 16 September 2024 to 14 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.
اگر میخوای SQL Server رو فقط حفظ نکنی، بلکه واقعاً بفهمی و حرفهای کار کنی، این دوره دقیقاً برای توئه. 🚀
تو این دوره از مبانی و طراحی پایگاهداده شروع میکنیم و قدمبهقدم میریم سراغ مدیریت جداول و روابط گرفته تا کوئرینویسی حرفهای، JOIN، Subquery، Stored Procedure، Function، Index و Optimization.
یعنی یه مسیر کامل برای اینکه بتونی با خیال راحت بگی:
من SQL Server رو بلدَم و میتونم باهاش کار واقعی انجام بدم. 💡
…
از آموزشهای پراکنده خسته شدی؟ وقتشه وارد دنیای واقعی یادگیری ماشین بشی. 🚀
دوره آفلاین Scikit-learn Mastery دقیقاً همون نقشه راهیه که تو رو از تئوری به عمل میرسونه. از تحلیل داده با Pandas تا ساخت مدلهای هوشمند با Scikit-learn؛ اینجا یاد میگیری چطور از دادهها، نتیجه بسازی.
محتوای دوره:
📊 دادهها رو با Pandas تحلیل کنی
🔢 با NumPy حرفهایتر کار کنی
🎨 دادهها رو با Seaborn به تصویر بکشی
🧹 دادههای خام و نامرتب…
🚀 شروع ثبتنام کلاسهای خصوصی آنلاین هشیوا
اگر میخواهید برنامهنویسی را اصولی، کاربردی و پروژهمحور یاد بگیرید یا وارد دنیای هیجانانگیز هوش مصنوعی شوید، هشیوا مسیر یادگیری شما را هموار کرده است.
در هشیوا تمرکز ما روی یادگیری واقعی مهارتهاست؛ نه صرفاً تئوری.
کلاسها بهصورت خصوصی و در گروههای کوچک برگزار میشوند تا هر هنرجو بیشترین بازدهی را از آموزش دریافت کند.
مهارتهایی که میتوانید در هشیوا یاد بگیرید:
Pyth…
🎓 دوره فشرده و پروژه محور SQL Server – از صفر تا بازار کار
📅 ضبط دوره از امشب 3 اسفند 1404 شروع میشود!
💡 پیشنهاد ویژه برای دانشجویان:
دانشجویان دوره قبلی من در دانشگاه آزاد قم: کاملاً رایگان! 🎉
سایر دانشجویان:
قیمت اصلی: ۱,۰۰۰,۰۰۰ تومان
قیمت با ۷۰٪ تخفیف: ۳۰۰,۰۰۰ تومان ⚡
این تخفیف ویژه فقط برای ثبت نام در بازه ۲۴ ساعت معتبر است!
🖥️ دوره به صورت آفلاین ضبط خواهد شد و ویدیوها در گروه مربوطه آپلود میشوند.
📌 ویژگی…
🚀 بوتکمپ رایگان فولاستک کودینو
یه مسیر واقعی برای تبدیل شدن به برنامهنویس فولاستک 💻✨
اینجا فقط آموزش نمیبینی…
اینجا مهارت میسازی، پروژه واقعی اجرا میکنی و آماده بازارکار میشی 🚀
در این بوتکمپ یاد میگیری با تکنولوژیهای روز کار کنی:
✨ فرانتاند مدرن با HTML ،CSS ،JavaScript ،TypeScript ،Vue ،Nuxt و Tailwind
⚙️ بکاند حرفهای با Python ،Django و FastAPI
🗄 کار با دیتابیسهای PostgreSQL و MongoDB
🔗 مدیریت پروژ…
دوره رایگان Full-Stack Web Development
📌 Django (Backend) + React (Frontend)
در این دوره یاد میگیرید:
طراحی و پیادهسازی API با Django
ساخت فرانتاند مدرن با React
اتصال فرانت به بک و کار روی پروژه واقعی
🆓 شرکت در دوره کاملاً رایگان است.
🔗 برای مشاهده سر فصل ها و کسب اطلاعات بیشتر :
t.me/MohammadBehnamAcademy
🎁 خبر ویژه!
بهخاطر استقبال فوقالعادهتون، تصمیم گرفتیم وبینار CodeWay | اولین قدم در مسیر برنامهنویسی رو فقط برای ۲۴ ساعت اول رایگان کنیم! 🔥
میخوای شروع کنی؟ همین الان وقتشه که بدون هیچ هزینهای وارد دنیای برنامهنویسی بشی و مسیرت رو روشن کنی 🚀
📩 برای ثبتنام سریع، مشخصاتت رو بفرست به پیوی ادمین:
👉 @delvin_support
🚀 وبینار CodeWay | اولین قدم در مسیر برنامهنویسی
میخوای وارد دنیای برنامهنویسی بشی ولی نمیدونی از کجا شروع کنی؟
این وبینار ۳ ساعته مسیرتو روشن میکنه و جلوی اشتباهاتت رو میگیره. ✨
📚 مسیر حرفهای برنامهنویس:
وب و طراحی سایت 🌐 – فرانتاند و بکاند
اپلیکیشن موبایل 📱 – اندروید و iOS
نرمافزار دسکتاپ 💻 – ویندوز، مک، لینوکس
ربات و اتوماسیون 🤖 – ابزارهای هوشمند و رباتنویسی
هوش مصنوعی و داده 🧠 – یادگیری ماشین و دیتا…
✌️ ما دو تا گروه دانشجویی داریم که هرکدوم روی یه چیز متفاوت کار میکنن:
📊 تیم تحلیل داده → مثلا فکر کن یه عالمه عدد و اطلاعات داری. خب اولش فقط شلوغه! 😅 ولی این تیم یاد میگیره چطوری از دل همین شلوغیها چیزای جالب پیدا کنه: مثل اینکه چه الگویی پشتشونه یا چه چیزی رو میشه پیشبینی کرد.
🗣️ تیم پردازش زبان طبیعی → این اسمش شاید سخت باشه، ولی ساده بگم: اینجا درباره اینه که چطوری هوش مصنوعی بتونه حرفای آدمها رو بفهمه. م…
Signed Mohammad Behnam
Showing the 12 most recent of 20 posts we hold for @softwareengrast. 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.
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
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.
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.
توییتر دانشجویی @twitterjoo · 50,011 Telegram ranks this channel #16 of 86 here — alongside 85 others — read 25 August 2026
NIKVEST | Genius-Level Insights @nikvestx · 31,575 Telegram ranks this channel #26 of 71 here — alongside 70 others — read 5 September 2026
خبرگزاری واحد علوم تحقیقات @srbiau_iau · 51,736 Telegram ranks this channel #40 of 93 here — alongside 92 others — read 25 August 2026
This channel appears in 3 seed channels' Telegram-generated recommendation lists 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 1 September 2026 — this
entry's latest reading, not the date you are reading this.
“Software Engineering - Tehran Science and Research Channel” (@softwareengrast), 230 subscribers as measured 1 September 2026. Telegram Register, tgregister.com/channel/softwareengrast.
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.
