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 14 September 2026 and assigned it the closest of 31 fixed categories, at 82% 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
15 measurements spanning 65 days, net +5. 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 3,367–3,384 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
20 Oct 2026, 00:30
3,380
+2
14 Oct 2026, 10:36
3,378
-2
11 Oct 2026, 03:17
3,380
+4
4 Oct 2026, 20:37
3,376
+5
16 Sept 2026, 19:37
3,371
+2
13 Sept 2026, 08:18
3,369
-8
9 Sept 2026, 18:01
3,377
-5
4 Sept 2026, 14:20
3,382
+3
31 Aug 2026, 21:23
3,379
+1
29 Aug 2026, 04:34
3,378
-1
26 Aug 2026, 03:54
3,379
-2
23 Aug 2026, 07:36
3,381
+8
19 Aug 2026, 22:25
3,373
-6
16 Aug 2026, 15:57
3,379
+4
15 Aug 2026, 17:45
3,375
first reading
Engagement
16 posts held, back to 30 October 2025 — 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 16 posts for this entry, the most recent from 30 June 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
374 reactions across 13 posts, in 4 distinct kinds. The most used accounts for 52.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
198
52.9%
👍
85
22.7%
🔥
82
21.9%
👎
9
2.41%
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 13 of the 16 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 374 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 30 October 2025 to 30 June 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.
Telegram Stars
Stars received
1
across the posts below
Posts paid on
1
of 14 we hold a reading for · 7%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @MhrCode. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 16 most recent posts we hold for this entry, published 30 October 2025 to 30 June 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
یک مسئله که همیشه با کلادکد داشتم این بود فهم جوابهای که میده سخته. راحتترین روش برای بهبودش اینه ازش بخوام Graph بکشه ولی نمیخوام کلی توکن سر تولید تصویر بسوزونه. برای همین ازش میخواستم کد Mermaid بنویسه. اما تمام سایتهای که پشتیبانیش میکنن، نمایش Markdown فارسی رو پشتیبانی نمیکنن .
دیگه خودم دست به کار شدم و https://mdview.raadz.dev/ رو پیادهسازی کردم. میتونید از Claude Code یا هر ایجنت دیگهای بخواید بر…
اگه میخواید بدونید ماهیت ChatGPT و امثالهم چیه، یه مثال ساده براتون میزنم:
فرض کنید توی یه اتاقی هستید و هیچ ارتباطی با دنیای بیرون ندارید. هر چند وقت یکی مییاد و یه ترتیبی از کارتها بهتون میده. ازتون میخواد کارت بعدی رو بهش بدید. اگه درست باشه، غذا میده. اگه نه، هیچی!
شما یه جعبه صدتایی از کارتها دارید و هر دفعه فقط میتونید یکی رو برگردونید.
وقتی سالها بگذره، دیگه متوجه میشید کدوم ترتیب ها احتمالا درست…
حالا یه سری شرکتها هستن که یه قدم فراتر رفتن! تولید موزیک با LLM. و راستش خروجیهای خیلی خوبی هم میدن.
سایت suno.com یکی از اوناست که بهتون توکن رایگان هم میده و همین الان میتونید ایدههاتون رو تبدیل به موزیک فارسی کنید! نکتهاش اینه که باید کلمات سخت رو طوری بنویسید که بتونه راحت تلفظ کنه. مثلاً Indentation رو بنویسید این-دِن-تِی-شِن.
پرامپت:
یک پادکست ایرانی که بین دو نفر هستند که اروم اروم صحبت میکنند
Speaker 1: ببین، میگن ستارههای نوترونی جِرم خورشید رو دارن ولی به اندازه تهرانن! این چه وضعشه؟
Speaker 2: آره، وقتی یک ستاره غولپیکر منفجر میشه، هستهاش فشرده میشه تا جایی که دیگه بین اتمها جا نمونه. یعنی چیزی که باید فضای خالی باشه، حالا پُر میشه.
Speaker 1: پس چرا فرو نمیریزه رو هم؟
Speaker 2: چون نوترونها یه خاصیت دارن که میگن "اجازه …
💡 صوت و موسیقی با LLMها
توی این یک ساله، LLMها خیلی سریعتر دارن پیشرفت میکنن. یکی از جاهایی که خیلی خوب توش پیشرفت کردن، تولید صدا و موزیکه.
همین چند ماه پیش بود که گوگل ورژن TTS مدلهای Gemini 2.5 Flash و Pro رو معرفی کرد. این مدلها به طرز باورنکردنیای کیفیت فارسیشون خوبه و میتونن با احساسات درست، مثل یه native ایرانی صحبت کنن.
برای تست کردنش میتونید از AI Studio گوگل استفاده کنید:
https://aistudio.google.…
و در آخر:
چون خودش قابلیت Reasoning و پردازش داره، دستتون خیلی بازه. میتونید بهش داکیومنت فارسی بدید و ازش بخواید براتون اینفوگرافیک، تبلیغات، اسلایدشو و... بسازه!
Generate a comical Farsi info graphic based on this content:
زبان گولنگ:
سریع + مولتی پروسس + عالی برای کانکارنسی بالا + تایپ سیف
زبان پایتون:
سرعت توسعه بالا + ابزارهای خیلی زیاد + کامیونیتی بزرگتر + فرصتهای بیشتر
کارهای زیادی میشه باهاش کرد. به نظرم این تازه به قول معروف Tip of the iceberg هست.
مثلاً میتونیم خیلی آماتوری چند تا عکس رو ترکیب کنیم و یه Composition Sketch بسازیم. بعد ازش بخوایم اون رو سینمایی کنه و عکسها رو Seamless با هم Blend کنه.
چند روزه که «جمنای» (Gemini) یه مدل جدید به اسم Nano Banana Pro معرفی کرده که به نظرم واقعاً انقلابی بوده.
اول بگم که Nano Banana Pro نسخه بزرگتر Nano Banana هست، اما کیفیتشون اصلاً با هم قابل مقایسه نیست. راستش هیچ مدلی از نظر کیفیت به پاش نمیرسه. حتی gpt-1.5-image جدید هم به اندازه این مدل جنرال نیست و درک عمیق نداره.
چیزایی که توی این مدل دیدم و بقیه مدلها ندارن:
۱. متن فارسی رو خیلی دقیق و با جزئیات بالا می…
❤12👍4
Signed Mohammad Hoseini Rad
Showing the 12 most recent of 16 posts we hold for @MhrCode. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
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.
ویکی تجربه - استخدام و بررسی شرکت ها @wiki_tajrobe · 80,724 Telegram ranks this channel #25 of 92 here — alongside 91 others — read 18 August 2026
Quera @quera_ir · 26,385 Telegram ranks this channel #32 of 93 here — alongside 92 others — read 14 September 2026
Job Finding | Search for your job @jobs_finding · 20,555 Telegram ranks this channel #38 of 95 here — alongside 94 others — read 26 September 2026
Kooshiar @kooshiar3 · 25,519 Telegram ranks this channel #39 of 93 here — alongside 92 others — read 14 September 2026
DevTwitter | توییت برنامه نویسی @devtwitter · 32,702 Telegram ranks this channel #43 of 90 here — alongside 89 others — read 5 September 2026
Job Offer With me 🎉💪 @get_joboffer · 19,267 Telegram ranks this channel #60 of 96 here — alongside 95 others — read 2 October 2026
جادی | Jadi @jadivarlog · 104,167 Telegram ranks this channel #61 of 94 here — alongside 93 others — read 15 August 2026
Top Learn | تاپ لرن @top_learn · 19,379 Telegram ranks this channel #65 of 89 here — alongside 88 others — read 1 October 2026
مکتبخونه | Maktabkhooneh @maktabkhooneh · 35,512 Telegram ranks this channel #74 of 90 here — alongside 89 others — read 3 September 2026
Programming Resources @pythony · 19,758 Telegram ranks this channel #82 of 95 here — alongside 94 others — read 30 September 2026
Dr Ahmadian @drmjahmadian · 91,076 Telegram ranks this channel #91 of 93 here — alongside 92 others — read 17 August 2026
This channel appears in 11 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 20 October 2026 — this
entry's latest reading, not the date you are reading this.
“MHRCODE | برنامهنویسی با طعم توتفرنگی” (@MhrCode), 3,380 subscribers as measured 20 October 2026. Telegram Register, tgregister.com/channel/MhrCode.
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.