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Channel

برنامه نویسی | هوش مصنوعی

@blueLearnMP

On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

1,484subscribers

+13 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001632940309
TypeChannel
Username@blueLearnMP
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live16 September 2026
Measurements held13
Confirmed unchanged1 time, most recently 16 September 2026
On Telegramt.me/blueLearnMP

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 17 September 2026 and assigned it the closest of 31 fixed categories, at 61% 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

1,4681,4841,4767 August 2026 — 1,471 subscribers7 August 2026 — 1,471 subscribers10 August 2026 — 1,468 subscribers14 August 2026 — 1,477 subscribers17 August 2026 — 1,476 subscribers20 August 2026 — 1,480 subscribers24 August 2026 — 1,476 subscribers27 August 2026 — 1,482 subscribers30 August 2026 — 1,476 subscribers3 September 2026 — 1,474 subscribers8 September 2026 — 1,469 subscribers12 September 2026 — 1,471 subscribers16 September 2026 — 1,484 subscribers7 August 202616 September 2026
13 measurements spanning 40 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 1,466–1,486 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Sept 2026, 15:581,484+13
12 Sept 2026, 18:561,471+2
8 Sept 2026, 14:401,469-5
3 Sept 2026, 05:541,474-2
30 Aug 2026, 19:251,476-6
27 Aug 2026, 12:541,482+6
24 Aug 2026, 03:561,476-4
20 Aug 2026, 12:051,480+4
17 Aug 2026, 20:251,476-1
14 Aug 2026, 16:271,477+9
10 Aug 2026, 20:311,468-3
7 Aug 2026, 21:481,471no change
7 Aug 2026, 12:381,471first reading

Engagement

20 posts held, back to 20 July 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 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 7 August 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

9 reactions across 5 posts, in 3 distinct kinds. The most used accounts for 44.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥444.4%
❤333.3%
👍222.2%

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 6 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 9 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 20 July 2026 to 7 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

7 Aug 2026, 18:29 UTC5 viewsread 7 August 2026
Forwarded from @tbadelinabPhoto

💎🔮🔮🔮🔮🔮🔮💎 🎆🧬🎊🎈کلی کانال بینظیر و کمیاب پراز آهنگ📌💞🔊 ‌،متن،گیف🧸🎸🎭،شعر،فانتزی،علمی،فرهنگی،هنری،...!!!!🎻☔️💥☄ ࿐⊰💌 𝐋𝐈𝐍𝐊 💌⊱࿐‌‌‌‌‌‌ •┈┈┈┈┅━┈🫟🪁┈━┅┈┈┈┈• https://t.me/addlist/TKlxJJ1k_QpjMWZk مدیریت تبادلات🔥💫❤️ #ناب بدو سریع دکمه ها رو بزن و لذت ببر قشنگم😍😍👇👇

Signed M

7 Aug 2026, 08:13 UTC11 viewsread 7 August 2026

چطور از اطلاعات گوشی بکاپ بگیریم؟ اگر روزی گوشیتون خراب شود، گم شود یا مجبور شودب اون ریست کنی، داشتن بکاپ میتونه تمام اطلاعاتت رو نجات بده. برای این کار مراحل زیر را انجام دهید: اگر گوشی اندرویدی دارید: وارد تنظیمات (Settings) شوید. به بخش Google یا System > Backup بروید. گزینه Backup by Google One یا Back up to Google Drive را فعال کنید. روی Back up now بزنید تا یک نسخه پشتیبان از مخاطبین، پیامک‌ها، تنظیمات و برخ…

6 Aug 2026, 11:29 UTC27 viewsread 7 August 2026
Photo

🥷تو کوله پشتی هکر چی هست ؟! @bluelearnmp

5 Aug 2026, 18:01 UTC35 viewsread 7 August 2026
Photo

یه پروژه خیلی جالب برای کسایی که می‌خوان بفهمن پشت صحنه‌ی LLMها چی می‌گذره ساخته شده. این ریپو قدم‌به‌قدم نشون می‌ده چطور یه مدل زبانی رو از صفر بسازید؛ از جمع‌آوری و آماده‌سازی داده‌ها گرفته تا ساخت کامل معماری Transformer با PyTorch و در نهایت اینکه مدل چطور شروع به تولید متن می‌کنه. حتی بخش‌هایی مثل Attention، Multi-Head Attention، بلاک‌های Transformer و کل ساختار مدل هم خودشون از صفر پیاده‌سازی شدن و با توضیحات و…

Signed M

4 Aug 2026, 10:11 UTC38 viewsread 7 August 2026
Forwarded from @skillswap_ir

🔵 سه ابزار خوب برای ساخت نمونه اولیه: 🔹 Uizard برای ساخت سریع چند صفحه از روی توضیح متنی https://uizard.io 🔹 Visily برای طراحی وایرفریم از روی متن، طرح دستی یا اسکرین‌شات https://www.visily.ai 🔹 Figma Make برای ساخت نمونه تعاملی و قابل کلیک https://www.figma.com/make/ 🔁 @skillswap

4 Aug 2026, 10:11 UTC28 viewsread 7 August 2026
Forwarded from @skillswap_irPhoto

🟣 قبل از شروع طراحی، اول یه نمونه اولیه بساز! این‌طوری قبل از اینکه چند روز وقت بذاری، کارفرما ساختار و مسیر کلی سایت یا اپ رو می‌بینه و تأیید میکنه. نتیجه چی میشه؟ اصلاحیه‌های کمتر و دیگه خبری از جمله "من یه چیز دیگه می‌خواستم" نیست! 📲 پایین سه ابزار کاربردی معرفی کردم:

3 Aug 2026, 06:19 UTC39 views1 reactionsread 7 August 2026

💣 تولد اینترنت: پروژه‌ای نظامی برای مقابله با بمب اتم! (پارت ۱) سال ۱۹۶۹ و در اوج جنگ سرد، ارتش آمریکا با یک چالش مهندسی بزرگ روبرو شد: اگر شوروی با بمب اتم یک مرکز مخابراتی یا سرور مرکزی رو با خاک یکسان کنه، کل شبکه ارتباطی کشور فلج میشه! 💡 راه‌حل چی بود؟ تولد پروژه‌ای به نام ARPANET و ابداع یک مفهوم انقلابی به اسم Packet Switching. به جای اینکه اطلاعات از یک مسیر ثابت برن، دیتای بزرگ به «بسته‌های کوچک» (Packets) …

🔥1

2 Aug 2026, 06:16 UTC57 views3 reactionsread 7 August 2026
Photo

💻اصطلاحات امنیت سایبری ⌛️بخش دوم #هک #امنیت #اصطلاحات @bluelearnmp

❤3

1 Aug 2026, 06:18 UTC57 viewsread 7 August 2026

بررسی BBR (چیه و چرا مهمه)؟ کلمه BBR مخفف🌱هست Bottleneck Bandwidth and Round-trip propagation time ی الگوریتم کنترل ترافیک شبکه که توسط گوگل ساخته شده تا سرعت انتقال دیتا بهینه‌ تر بشه ⏺️چطور کار میکنه؟ برخلاف الگوریتمای قدیمی که وقتی packet loss میبینن سرعتو کم می‌کنن BBR سعی می‌کنه: 🌟 پهنای باند واقعی مسیر رو تشخیص بده 🌟 تاخیر واقعی شبکه رو اندازه بگیره 🌟 ارسال دیتا رو بر اساس بهترین ظرفیت ممکن تنظیم کنه نتیجه ا…

30 Jul 2026, 12:56 UTC66 viewsread 7 August 2026
Photo

💻اصطلاحات امنیت سایبری ⌛️بخش اول #هک #امنیت #اصطلاحات @bluelearnmp

30 Jul 2026, 02:54 UTC63 views0 reactionsread 7 August 2026
Photo

💻پروژه های پایتون برای هکینگ #هک #پایتون #پروژه @bluelearnmp

Showing the 12 most recent of 20 posts we hold for @blueLearnMP. 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 5 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.

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.

Computer Software
@Software_computerr · 41,223
Telegram ranks this channel #16 of 73 here — alongside 72 others — read 29 August 2026
دوستان کتاب
@theBOOK_FRIENDS · 22,672
Telegram ranks this channel #23 of 75 here — alongside 74 others — read 20 September 2026
فیلم و داستان انگلیسی
@OnlineConversationSchool_Film · 20,885
Telegram ranks this channel #47 of 80 here — alongside 79 others — read 25 September 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 16 September 2026 — this entry's latest reading, not the date you are reading this.

“برنامه نویسی | هوش مصنوعی” (@blueLearnMP), 1,484 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/blueLearnMP.

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.