Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 11 September 2026 and assigned it the closest of 31 fixed categories, at 91% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
32 measurements spanning 43 days, net -57. 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 10,846–10,993 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)
Subscribers
Change
19 Sept 2026, 02:00
10,918
+3
16 Sept 2026, 20:01
10,915
+8
14 Sept 2026, 19:40
10,907
+13
13 Sept 2026, 07:21
10,894
+3
11 Sept 2026, 10:38
10,891
-20
8 Sept 2026, 18:16
10,911
+2
5 Sept 2026, 12:40
10,909
+14
3 Sept 2026, 12:57
10,895
+8
2 Sept 2026, 08:53
10,887
+2
1 Sept 2026, 06:35
10,885
+4
30 Aug 2026, 05:15
10,881
+8
27 Aug 2026, 22:46
10,873
+3
27 Aug 2026, 01:53
10,870
+7
26 Aug 2026, 02:42
10,863
-1
24 Aug 2026, 23:18
10,864
-8
23 Aug 2026, 12:04
10,872
-39
21 Aug 2026, 19:38
10,911
-45
20 Aug 2026, 14:04
10,956
-2
19 Aug 2026, 17:25
10,958
+10
18 Aug 2026, 17:03
10,948
first reading
Engagement
28 posts held, back to 11 January 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 40 pages of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 28 posts for this entry, the most recent from 23 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
6m 03s
Average length
1m 01s
Measured directly from 6 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
683 reactions across 23 posts, in 11 distinct kinds. The most used accounts for 38.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
260
38.1%
❤
103
15.1%
🤣
97
14.2%
😭
78
11.4%
🔥
38
5.56%
😍
35
5.12%
🙏
29
4.25%
👏
19
2.78%
🤯
11
1.61%
🎉
9
1.32%
🥰
4
0.586%
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 23 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 683 reactions 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 11 January 2024 to 23 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.
🔐 کاری کن که اصلاً نتوانی کلید را کامیت کنی
۱) کلیدها را در فایل .env بگذار، نه در کد
API_KEY=sk-xxxx
DB_PASSWORD=xxxx
۲) قبل از هر چیز، .env را در .gitignore بگذار
echo ".env" >> .gitignore
این را اول بزن، قبل از ساختن فایل env.
۳) یک .env.example بساز که خالی باشد
API_KEY=
DB_PASSWORD=
این یکی را کامیت کن. بقیه از رویش میفهمند چه متغیرهایی لازم است، بدون اینکه مقدار واقعی جایی برود.
۴) در کد از env بخوان
پای…
✅ جواب: گزینه ۲
این یکی از گرانترین درسهای حوزهٔ ماست و خیلیها با صورتحساب یادش میگیرند.
رباتهایی وجود دارند که لحظهبهلحظه کامیتهای عمومی گیتهاب را اسکن میکنند و دنبال چیزی میگردند که شبیه کلید باشد. تأخیرشان بر حسب ثانیه است، نه ساعت.
یعنی وقتی تو داری گوگل میکنی «چطور کامیت را پاک کنم»، کلید از قبل جای دیگری است.
پاک کردن تاریخچه بیفایده نیست، ولی مرحلهٔ دوم است. مرحلهٔ اول همیشه این است: برو کنسو…
🧹 چند گیگ فضا، در دو دقیقه
۱) اول ببین فضا کجاست
ویندوز → WizTree را نصب کن (رایگان). کل درایو را در چند ثانیه اسکن میکند و بزرگترین پوشهها را مرتبشده نشان میدهد.
لینوکس و مک:
du -sh */ | sort -rh | head -20
۲) node_modules پروژههای رهاشده را پاک کن
ویندوز، در پوشهای که پروژههایت هستند:
Get-ChildItem -Path . -Include node_modules -Recurse -Directory | Remove-Item -Recurse -Force
لینوکس و مک:
find . -nam…
✅ جواب: گزینه ۲
یک پروژه ریاکت خالی که هیچ کاری نمیکند، حدود ۳۰۰ مگابایت node_modules دارد. یک پروژه واقعی راحت به ۷۰۰ مگ میرسد.
حالا حساب کن: ۱۵ پروژهای که سال گذشته شروع کردی و رها شدند.
نکتهٔ اصلی این است که این فضا واقعاً بیفایده است. فرق node_modules با بقیه فایلهایت این است که با یک دستور کاملاً بازسازی میشود:
npm install
یعنی پاک کردنش هیچ چیزی از دست نمیدهد. فقط دفعهٔ بعد که سراغ آن پروژه رفتی، دو…
OpenAI از مرورگر اختصاصی خود به نام ChatGPT Atlas رونمایی کرد.
این مرورگر فعلاً برای macOS منتشر شده است و بهزودی برای ویندوز، iOS و اندروید نیز منتشر میشود.
♉️ آپدیت 12.1.1 تلگرام منتشر شد!
💪🏼 قابلیتهای عمومی:
• نسخه iOS با لیکوئید گلس بازطراحی شد.
• امکان ارسال کامنت و ریاکشن در وویسچتها.
• امکان اضافه کردن یادداشت شخصی به پروفایل مخاطبین.
• امکان اضافه کردن و پیشنهاد دادن روز تولد به مخاطبین.
• امکان حذف کامنت گیفتها با پرداخت هزینه.
• اتصال گیفتها از والت به اکانت تلگرام (مثل یوزرنیم و شماره).
• امکان موضوعی کردن رباتها توسط سازندشون (مشابه گروههای تاپیک).
…
Showing the 12 most recent of 28 posts we hold for @Mohandesjavab_ir. 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.
Polls
The 5 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 28 most recent posts we hold, published 11 January 2024 to 23 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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.
❄️ کاور هایلایت ، prompt پرامپت ، تصویر زمینه ، استیکر❄️ @highlight_icons · 25,401 Telegram ranks this channel #8 of 34 here — alongside 33 others — read 14 September 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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“مهندس جواب” (@Mohandesjavab_ir), 10,918 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/Mohandesjavab_ir.
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.