Channel
@snowyroz
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
600subscribers
-4 since we began measuring on 2 September 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001792298277 |
|---|---|
| Type | Channel |
| Username | @snowyroz |
| Created | Between 1 January 2022 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 2 September 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/snowyroz |
Education — 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 51% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 23:56 | 600 | -4 |
| 2 Sept 2026, 03:45 | 604 | no change |
| 2 Sept 2026, 03:30 | 604 | first reading |
20 posts held, back to 2 November 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.
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 4 December 2024. An engagement rate over an empty window would be a number about nothing.
Measured directly from 1 video 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.
139 reactions across 17 posts, in 8 distinct kinds. The most used accounts for 54.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 75 | 54.0% | |
| 🔥 | 37 | 26.6% | |
| 👍 | 15 | 10.8% | |
| 💅 | 5 | 3.60% | |
| ⚡ | 2 | 1.44% | |
| 👏 | 2 | 1.44% | |
| 😍 | 2 | 1.44% | |
| 🙏 | 1 | 0.719% |
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 17 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 139 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 2 November 2024 to 4 December 2024, 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 در چهار حوزه دیپ لرنینگ، ماشین لرنینگ و جبر خطی و پردازش زبان طبیعی دنبال حل تمرین در سطح کد هستید این سایت برای شماست deep-ml.com 〰〰〰〰〰〰〰〰〰〰〰 🆔️ @snowyroz | 👩🏻💻👾
❤10👍3💅1
Signed M
قهوه؛ خوب یا بد؟ ☕ باور کنین: خوردن قهوه زیاد نماد برنامهنویس بودن شما نیست! 💔 قهوه زیاد میتونه به کلیهها آسیب بزنه و خواب رو مختل کنه. ✨ جایگزینها: 🍵 چای سبز یا ماچا 🍋 دتاکس واتر 💡 نکته: اگه خواب مناسبی داشته باشین، اصلاً نیازی به قهوه نیست. 😴
❤11👍2💅2
Signed M
کمتر چیزی که برنامه نویس ها بهش توجه میکنن🙂❌
👍3❤1💅1
Signed M
چرا جسم؟ چون سلامت جسم به سلامت روان کمک میکنه «عقل سالم در بدن سالم» چون سلامت جسم باعث میشه تمرکز ما از روی جسم و مشکلاتش برداشته بشه و بتونیم با آرامش و فراغبال به بُعد مهمترمون یعنی روح بپردازیم 🤍 @true_wellness 🌱
❤8👏1🔥1
Signed M
دستیار هوش مصنوعی برای برنامه نویسان پایتون! از وب سایت zzzcode.ai می تونید به عنوان یک دستیار تخصصی برای زبان پایتون، حوزه داده و هوش مصنوعی استفاده کنید. هم براتون کد مینویسه و هم کدهایی که بهش میدید رو توضیح میده. به عنوان نمونه من ازش خواستم که سورس کد مدل یادگیری ماشین GCNN روی توی پایتون بهم بده و خروجی تصویر رو داده. نمونه پرامپت داده شده در زیر: Prompt: Hi dear, I want to train a GCNN model on "MyDataset" d…
❤4💅1
Signed M
✨آموزش کامل گیت و گیتهاب برای برنامهنویسان: منابع فارسی 1. فرادرس دورهای جامع برای یادگیری گیت و گیتهاب از پایه تا پیشرفته، شامل نصب گیت، کار با دستورات اولیه، برنچها و مدیریت پروژهها. لینک دوره: فرادرس 2. سایت راکت آموزش رایگان با توضیحات کامل درباره مفاهیم کلیدی گیت، مثل برنچینگ و مرجینگ، مناسب برای مبتدیها. لینک سایت: راکت 3. مکتبخونه دورههای آموزشی تعاملی برای یادگیری گیت و گیتهاب همراه با پروژ…
❤7🔥1
Signed M
طلایی ترین لیست وبلاگها برنامه نویسان شرکتهای بزرگ دنیا مثل Google و . . . در این لیست افرادی که تجربه کار کردن در شرکتهای بزرگ دارند اسم و لینکشون آورده شده نفراول : برنامه نویس شرکت TripAdvisor هم مقالات فنی و هم مهارت نرم رو پوشش میده https://dandreamsofcoding.com/ نفر دوم : خالق الگوریتمی که در تمامی سیستم های recommender در شرکت بزرگ ازش استفاده میشه https://lemire.me/blog/ نفر سوم : از ایشون مگه بالاتر د…
❤6🙏1
Signed M
این ریپو تمام الگوریتم ها را با python پیاده سازی کرده. یک منبع عالی آموزشی برای یادگیری data structures و کلا الگوریتم. https://github.com/TheAlgorithms/Python 〰〰〰〰〰〰〰〰〰〰〰 🆔️ @snowyroz | 👩🏻💻👾
🔥12❤3
Signed M
برنامه نویس وب و طراح وب دو مفهوم کاملا مجزا 〰〰〰〰〰〰〰〰〰〰〰 🆔️ @snowyroz | 👩🏻💻👾
🔥10❤3
Signed M
📝 دوره 5ساعته Python آموزش Python به زبان فارسی برای شروع سریع و آسان برنامهنویسی! در این دوره نکات کلیدی پایتون به زبان ساده توضیح داده شده و مناسب مبتدیان است. بزنید روی لینک که ببینید👇🏻 🔗دوره پایتون مقدماتی تا پیشرفته به زبان فارسی یادگیری سریع و راحت! ☘️ 〰〰〰〰〰〰〰〰〰〰〰 🆔️ @snowyroz | 👩🏻💻👾
❤4🔥3
Signed M
مختصر و مفید ولی هزینه تو ایران بالای 200 تومن🤌 #desktop
🔥3❤1👏1
Signed M
کدنجواگر (Code Whisperer): کسی که انگار با کدها حرف میزنه و تو دیباگ کردن و حل مشکلات استاده!
😍2❤1
Signed M
Showing the 12 most recent of 20 posts we hold for @snowyroz. 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.
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.
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.
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.
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.
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“snowy.roz 👾👩🏻💻” (@snowyroz), 600 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/snowyroz.
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.