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Telegram profile photo for برنامه نویسی رادمان

Channel

برنامه نویسی رادمان

@radmanch

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

782subscribers

-13 since we began measuring on 10 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001999722801
TypeChannel
Username@radmanch
CreatedBetween 1 November 2023 and 30 April 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded10 August 2026
Last confirmed live12 September 2026
Measurements held6
Confirmed unchanged1 time, most recently 12 September 2026
On Telegramt.me/radmanch

Topic

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 20 September 2026 and assigned it the closest of 31 fixed categories, at 94% 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

782795788.510 August 2026 — 795 subscribers10 August 2026 — 795 subscribers19 August 2026 — 794 subscribers26 August 2026 — 792 subscribers3 September 2026 — 786 subscribers12 September 2026 — 782 subscribers10 August 202612 September 2026
6 measurements spanning 33 days, net -13. 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 780–797 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Sept 2026, 13:02782-4
3 Sept 2026, 10:57786-6
26 Aug 2026, 04:34792-2
19 Aug 2026, 07:05794-1
10 Aug 2026, 18:30795no change
10 Aug 2026, 18:17795first reading

Engagement

20 posts held, back to 1 June 2026the 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.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 9 August 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
2m 49s
Average length
56s

Measured directly from 3 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

26 reactions across 11 posts, in 5 distinct kinds. The most used accounts for 38.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1038.5%
👍1038.5%
🔥311.5%
👏27.69%
❤‍🔥13.85%

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 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 26 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 1 June 2026 to 9 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

9 Aug 2026, 17:24 UTC30 viewsread 10 August 2026
Photo

ساخت و آموزش یک مدل ۳۵۰ میلیون پارامتری از صفر با پایتورچ چقدر هزینه دارد و چه چالش‌هایی دارد؟ http://john463212.substack.com/p/building-a-350m-transformer-from 🔵 @radmanch 🟢 ble.ir/radman_it

5 Aug 2026, 18:35 UTC73 viewsread 10 August 2026

شرکته آگهی استخدام زده با حقوق پایه وزارت کار (یعنی ۱۷ میلیون) برای استخدام Backend Developer ، حالا شما برید متن آگهی و نیازمندی هاشون رو بخونید و نظرتون رو بگید. واقعا نمیدونم برای یه سری از شرکت ها باید تاسف خورد که دانش کافی ندارن یا مشکل دیگه ایی دارن که نمی خوام اینجا بگم... لینک آگهی

4 Aug 2026, 14:13 UTC67 views1 reactionsread 10 August 2026
Photo

آسترا، هوش مصنوعی جدید OpenAI، تونسته 10 مسئله‌ی قدیمی و حل‌نشده‌ی ریاضی رو حل کنه؛ از جمله اولین ساختار صریح یک گروه غیرصوفی. جالب‌تر اینکه کل این کار با هزینه‌ای حدود 2000 دلار انجام شده. راه‌حل‌هایی که ارائه داده، فقط ایده‌های خام نیستن؛ همگی تأیید شدن و روی گیت‌هاب منتشر شدن. این دستاوردها حوزه‌های مختلفی مثل علوم کامپیوتر نظری و پیچیدگی مدارهای حسابی رو پوشش می‌دن. بین این نتایج، رد حدس صلبیت کانز (Connes's ri

1

4 Aug 2026, 10:08 UTC62 viewsread 10 August 2026
File

راهنمایی جامع برای ورود به دنیای برنامه‌نویسی کامپیوترهای کوانتومی: - آشنایی با مفاهیم پایه محاسبات کوانتومی و کیوبیت‌ها - آموزش طراحی و پیاده‌سازی الگوریتم‌های کوانتومی - کار با فریم‌ورک‌های برنامه‌نویسی کوانتومی و مثال‌های عملی - مناسب برای برنامه‌نویس‌هایی که می‌خوان وارد دنیای Quantum Computing بشن 🔵 @radmanch 🟢 ble.ir/radman_it

31 Jul 2026, 21:13 UTC91 views1 reactionsread 10 August 2026
Photo

مسیر راه و هدف در واقعیت... 🔵 @radmanch 🟢 ble.ir/radman_it

❤‍🔥1

25 Jul 2026, 18:25 UTC241 views2 reactionsread 10 August 2026
Photo

اینی که می‌بینید اسمش Magika هست گوگل به تازگی منتشرش کرده؛ یه سیستم بر پایه هوش مصنوعیه که می‌تونه محتوای واقعی هر فایلی رو تشخیص بده، حتی اگه فایل خودش رو یه چیز دیگه جا زده باشه. مثلاً بدافزاری که قیافه‌ی یه فایل PDF رو گرفته، یا اسکریپت‌های مخفی که خودشون رو شبیه عکس نشون میدن. این ابزار رایگانه و متن‌باز هم هست : securityresearch.google/magika 🔵 @radmanch 🟢 ble.ir/radman_it

2

23 Jul 2026, 21:13 UTC121 views1 reactionsread 10 August 2026

هوش مصنوعی رو می‌شه مثل یه بانک درنظر گرفت که بهتون وام فنی می‌ده (وام فنی یعنی وامی که پول نیست بجای پول دانشه) حالا این وام فنی از دید شما یه بدهی فنی هستش و باید یه روزی پسش بدید، بدهی فنی ده ها ساله توی مهندسی نرم افزار استفاده می‌شه و می‌تونه خیلی کمک کنه پیشرفت کنید و یا بر عکس اولش بهتون شتاب بده بعدش دهنتون رو سرویس کنه. خیلیارو دیدم دیگه شل کردن و چیز جدیدی یاد نمی‌گیرن، این کار اشتباهه چون علم و دانش شما

1

22 Jul 2026, 12:20 UTC130 views1 reactionsread 10 August 2026
Video

خیلیا فکر میکنن OSINT یعنی سرچ ساده توی دیتابیس های پابلیک، اینو ببینید از روی عکس چطوری لوکیشن رو پیدا میکنه! 🔵 @radmanch 🟢 ble.ir/radman_it

1

20 Jul 2026, 19:08 UTC122 viewsread 10 August 2026
Video

اگه فکر می‌کنید سیستمتون ضعیفه و هیچ مدلی روش اجرا نمیشه سخت در اشتباه اید، این ابزارو نصب کنید میگه چه مدل هایی روی سخت افزارتون خوب اجرا میشه http://github.com/Andyyyy64/whichllm 🔵 @radmanch 🟢 ble.ir/radman_it

19 Jul 2026, 18:59 UTC220 viewsread 10 August 2026

🔴 ‏اگر سایت وردپرسی دارید حتما هسته وردپرس رو آپدیت کنید دو تا باگ SQL Injection و RCE داره نسخه های اصلاح شده: WordPress 6.8 → 6.8.6 یا جدیدتر WordPress 6.9 → 6.9.5 یا جدیدتر WordPress 7.0 → 7.0.2 یا جدیدتر 🔵 @radmanch 🟢 ble.ir/radman_it

18 Jul 2026, 18:00 UTC108 viewsread 10 August 2026
File

کتاب رایگان مبانی مدل‌های زبانی بزرگ (PDF) این کتاب قدم‌به‌قدم توضیح می‌ده که مدل‌های زبانی بزرگ (LLM) چطور ساخته می‌شن و کار می‌کنن. اول از همه درباره Pre-training یا همون مرحله‌ای که مدل از حجم عظیمی از داده‌ها یاد می‌گیره صحبت می‌کنه، بعد می‌ره سراغ ساخت مدل‌های مولد، آموزش اون‌ها در مقیاس بزرگ و نحوه کار با متن‌های طولانی. بعد یاد می‌گیری چطور با Promptهای مختلف از مدل بهترین جواب رو بگیری و با تکنیک‌هایی مثل Ch

Showing the 12 most recent of 20 posts we hold for @radmanch. 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

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.

آکادمی دیجیتال مارکتینگ پدرام بهرام
@pedrambahramsell · 44,158
Telegram ranks this channel #5 of 43 here — alongside 42 others — read 16 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 12 September 2026 — this entry's latest reading, not the date you are reading this.

“برنامه نویسی رادمان” (@radmanch), 782 subscribers as measured 12 September 2026. Telegram Register, tgregister.com/channel/radmanch.

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.