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 21 September 2026 and assigned it the closest of 31 fixed categories, at 92% 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
6 measurements spanning 31 days, net -32. 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 536–578 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
3 Oct 2026, 07:19
541
-18
19 Sept 2026, 09:15
559
-7
11 Sept 2026, 07:00
566
-5
3 Sept 2026, 00:07
571
-2
2 Sept 2026, 00:30
573
no change
2 Sept 2026, 00:15
573
first reading
Engagement
20 posts held, back to 29 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 20 posts for this entry, the most recent from 23 November 2025. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
13m 15s
Average length
4m 25s
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
44 reactions across 17 posts, in 4 distinct kinds. The most used accounts for 68.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
30
68.2%
🔥
8
18.2%
👏
5
11.4%
👍
1
2.27%
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 44 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 29 October 2025 to 23 November 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
:جلسه اول
مهندسی پرامپت چیست؟
از جواب های به درد نخور هوش مصنوعی خسته شدی؟ 🤯
وقتشه یاد بگیری چطور "درست" دستور بدی!
مهندسی پرامپت، هنر صحبت کردن با AI برای گرفتن نتایج دقیقه. تو این ویدیو بهت یاد میدم چطور با یک پرامپت قوی، هوش مصنوعی رو به دستیار شخصی خودت تبدیل کنی.
با مثال آشپز حرفهای، یک بار برای همیشه این مفهوم رو یاد بگیر! 👨🍳
ری اکشن بدید بریم آموزش بعدی👇
قسمت اول: نقشه راه مهندسی پرامپت
✅تو این دوره مفاهیم پایه مهندسی پرامپت رو یاد میگیرن
اگه این ویدیو رو دوس داشتی به دوستات هم بفرس
اگه سوالی یا مشکلی داشتین میتونین توی کامنتا بپرسید
بچهها یه حقیقت مهم تو دنیای هوش مصنوعی هست:
🤖 کیفیت خروجی = کیفیت ورودی
یعنی اگه بلد باشی چجوری با مدلهای هوش مصنوعی حرف بزنی، میتونی بهترین نتیجهٔ ممکن رو بگیری.
اسم این مهارت جذاب چیه؟ مهندسی پرامپت ✨
🔍 مهندسی پرامپت یعنی اینکه بدونی چی بگی، چجوری بگی و چطور درخواستتو دقیق و هوشمندانه مطرح کنی تا هوش مصنوعی بهترین عملکردشو نشون بده.
همونجوری که رانندگی فقط گاز دادن نیست 🚗
کار با هوش مصنوعی هم فقط نوشتن یه ج…
خب بعد چند روز برگشتیم ولی تو این چند روز واقعا حسابی کار کردیم
و اینکه ادیت ویدیو اموزشی مهندسیپرامپت نویسی رو اماده کردم از فردا توی کانال میزارم
و امشب هم بقیه اموزش رو میزارم
نمونه پروفایل مناسب واسه فعالیتتون هست البته اینو بگم که وقتی تو این مسیر حرکت میکنید مال بچه هارو نگاه میکنید یاد میگیرید
میتونید از اونا هم ایده بگیرید و یه شخصیت و کاراکتر خودتون رو درست کنید
و تورو با با اون شخصیت بشناسن توی این فضا
قسمت اول: ساخت اکانت توییتر
📍مرحله اول:
📩از جیمیل جدید استفاده کنید برای ساخت اکانتتون
🔐یه پسورد مناسب و با امنیت بیشتر اوکی کنید جوری که تو ذهنتون بمونه یا یه جای دیگه ای سیو کنید
📍مرحله دوم :
🎭پروفایل پیکچر: ترجیحاً NFT یا آرت ثابت و با شخصیت هنری که دارین میتونین استفاده کنید
🌌کاور: یه تصویر مرتبط با کریپتو/وب۳
⚠️Username: {name}.eth.base
⚠️Bio: حوزه کاری که توش فعالیت میکنید و یا اینکه چه مهارت هایی دارید…
یه نظر یا پیشنهاد دوستانه من اینه:
شما وقتی که توی انستا یا توی چت ها میزارید چی بدست
آوردین!!؟؟
شاید چند سالی هست که توی این شبکه های اجتماعی هستین جز کص شعر چیزی نیست واقعیت
این وقتتون رو روی این مسیر بزارید بهترین نتیجه رو میگیرید مسیر دیگه فرق میکنه دنیا داره بسمت هوش مصنوعی و بلاکچین این مسیر رو جدی بگیرید
سلام دوستان ظهرتون بخیر باشه☀️
لازم دونستم این نکات رو بهتون بگم همین اول کار😊
🎯 فرمول پیشرفت در Web3
بیشتر بمان ✅ بیشتر درک کن ✅ کمتر عجله کن ✅ بیشتر ارتباط بساز ✅
پول از این ۳تا میاد:
حضور
ارتباطات
کنجکاوی و تجربه
استمرار تو این مسیر داشته باشی قطعا به نتیجه میرسی
من خودم حدودا یه ۳سالی هست تو این مسیرم کریپتو، nftها وچیزایی که بیشتر بروز هستن و انچین هستن
یه ساله که وب۳ رو شروع کردم کلی کالت های خفن جمع کردم …
❤2
Showing the 12 most recent of 20 posts we hold for @narblramir. 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.
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.
ذهنX @matrixmindio · 46,868 Telegram ranks this channel #22 of 70 here — alongside 69 others — read 2 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 3 October 2026 — this
entry's latest reading, not the date you are reading this.
“💸NARBAL WEB3 CLUB 💸” (@narblramir), 541 subscribers as measured 3 October 2026. Telegram Register, tgregister.com/channel/narblramir.
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.