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 12 September 2026 and assigned it the closest of 31 fixed categories, at 70% 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 52 days, net +145. 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 7,575–7,764 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
27 Sept 2026, 06:19
7,742
+15
18 Sept 2026, 08:17
7,727
+9
13 Sept 2026, 15:57
7,718
-4
9 Sept 2026, 19:00
7,722
+13
4 Sept 2026, 19:18
7,709
+35
1 Sept 2026, 02:14
7,674
-1
29 Aug 2026, 05:34
7,675
+7
26 Aug 2026, 05:04
7,668
+10
22 Aug 2026, 20:04
7,658
+43
19 Aug 2026, 03:55
7,615
+3
16 Aug 2026, 09:04
7,612
-2
12 Aug 2026, 17:02
7,614
+5
9 Aug 2026, 16:04
7,609
+11
6 Aug 2026, 15:04
7,598
+1
6 Aug 2026, 12:18
7,597
first reading
Engagement
29 posts held, back to 20 June 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 17 pages 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 29 posts for this entry, the most recent from 24 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
4m 16s
Average length
1m 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
333 reactions across 21 posts, in 8 distinct kinds. The most used accounts for 72.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
240
72.1%
👍
44
13.2%
👏
19
5.71%
🎉
15
4.50%
🔥
8
2.40%
🐳
3
0.901%
❤🔥
2
0.601%
🏆
2
0.601%
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 22 of the 29 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 333 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 29 most recent posts we hold, published 20 June 2026 to 24 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.
Telegram Stars
Stars received
1
across the posts below
Posts paid on
1
of 22 we hold a reading for · 5%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @Tech_Immigrants. 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 29 most recent posts we hold for this entry, published 20 June 2026 to 24 August 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.
یکی از بچههای خلاق کامیونیتی، نکات لایو بررسی رزومه با جان ادیب رو به این چکلیست تصویری تبدیل کرده 👏
توی این تصویر میتونید خیلی سریع ببینید چه چیزهایی باعث میشن یک رزومه فنی در بررسی اولیه Pass یا Fail بشه.
شما هم اگر از لایو نکته، خلاصه یا محتوایی ساختید، حتماً برامون بفرستید تا با اسم خودتون در کانال منتشر کنیم.
دیشب، جان ادیب در لایو چه رزومه هایی انتخاب میشن، نزدیک به ۲۰ رزومه واقعی از بچه های کامیونتی رو بررسی کرد.
با دیدن این لایو میتوانید ایده بگیرید که:
• یک مدیر استخدام هنگام اسکن اولیه رزومه دقیقاً به چه چیزهایی توجه میکند
• چه اشتباهاتی باعث میشوند نقاط قوت شما دیده نشوند
• چطور تجربهها و دستاوردهایتان را واضحتر و تأثیرگذارتر بنویسید
• برای بهتر شدن ساختار و محتوای رزومهتان روی چه بخشهایی کار کنید
حتی اگر …
امشب رزومهتون قراره توسط یک Hiring Manager واقعی بررسی بشه!
تا الان ۱۶۳ نفر برای لایو ثبتنام کردن و حدود ۳۰ رزومه هم دریافت کردیم.
توی این لایو میتونید از نزدیک ببینید یک Hiring Manager وقتی برای اولین بار یک رزومه رو باز میکنه، به چی توجه میکنه، چه چیزهایی باعث میشه سریع ردش کنه و چه رزومهای باعث میشه چند ثانیه بیشتر مکث کنه.
برای هر رزومه حدود ۳۰ ثانیه تا ۱ دقیقه زمان میذاریم؛ تقریباً شبیه همون اسکن اولیه…
🎁 یه خبر ویژه برای شرکتکنندههای لایو رزومه با جان ادیب!
جان یک ورکشاپ کامل و عملی رزومه طراحی کرده که حاصل تجربهی سالها کارش بهعنوان Engineering Leader و صدها جلسه منتورینگ و بررسی رزومهست.
توی این ورکشاپ قراره خیلی عمیقتر و قدمبهقدم روی رزومهها کار کنیم؛ از ساختار و نحوهی ارائهی تجربهها و دستاوردها گرفته تا شخصیسازی رزومه برای موقعیتهای شغلی مختلف و بررسی نمونههای واقعی.
این ورکشاپ حدود یک ماه آین…
اگه رزومه شما روی میز یک مدیر استخدام قرار بگیره، آیا به مرحله مصاحبه دعوت میشید؟
🎙 مهمان: جان ادیب، مدیر مهندسی نرمافزار، کارآفرین و منتور حوزه فناوری در لندن 🇬🇧
🎙 میزبان: سحر، فاندر Tech Immigrants
🔗 لینک ثبتنام و شرکت در لایو:
https://luma.com/bb3bq95j
📅 شنبه ۳۱ مرداد | ۲۲ آگوست
🕥 ساعت ۲۲:۳۰ به وقت ایران | ۲۰:۰۰ به وقت بریتانیا (BST)
در این لایو، ۲۵ رزومه واقعی از اعضای کامیونیتی Tech Immigrants را دقیقاً …
خیلی ممنون از همگی، همه رزومه ها رو برای جناب ادیب فرستادیم. هر کسی که انتخاب شد بهش پیام میدیم و برای لایو هماهنگ میکنیم. تقریبا همه رزومه ها سنیور بودن و چند تا میدلول و هیچی جنیور، اگه کسی جنیور هست و دوست داره که در لایو بررسی بشه، رزومه بفرسته برامون.
شبتون بخیر ✨
📄 دوست داری رزومهت رو توی لایو با هم بررسی کنیم؟
توی لایو بعدی Tech Immigrants با John Adib دربارهی رزومهنویسی و اشتباهات رایجی که باعث میشن یک رزومه دیده نشه صحبت میکنیم.
آقای ادیب تا امروز بیش از ۶۰۰ mentorship session داشته و جزو Top Mentors اروپا در ADPList هستن.
این بار میخوایم بخش اصلی لایو کاملاً عملی باشه.
از بین رزومههایی که برامون میفرستید، ۳ نفر رو انتخاب میکنیم:
🔹 یک نفر Junior
🔹 یک نفر Mid-l…
خوشحالیم که Shikoonet اسپانسر لایوهای Tech Immigrants شده است.🎉
به مناسبت شروع این همکاری، یک کد تخفیف ۱۰۰٪ در اختیار ما قرار گرفته که ۲۰۰ نفر اول میتونن به مدت ۳ روز از ۱۰ گیگ اینترنت آزاد استفاده کنن.
قبل از معرفی این سرویس، از تیم فنی خواستیم کیفیت، پایداری و زیرساخت آن را بررسی کنن تا بتونیم با اطمینان معرفیشون کنیم. Shikoonet تمرکز ویژهای روی پایداری اتصال و مانیتورینگ سرویسهاش داره.
اگر میخواهید لایو ام…
لایو: واقعیت مهاجرت تحصیلی و بازار کار هلند
از مهاجرت تحصیلی تا رسیدن به پیشنهاد شغلی
مهمان: فائزه رضاییپویا، Service Manager در صنعت EdTech، هلند 🇳🇱
میزبان: سحر، فاندر Tech Immigrants
🔗 لینک ثبتنام و شرکت در وبینار:
https://luma.com/wiyys0g5
📅 سهشنبه ۱۳ مرداد | ۴ آگوست
🕘 ساعت ۲۲:۳۰ به وقت ایران | ۲۱:۰۰ به وقت اروپای مرکزی (CEST)
مهاجرت تحصیلی یکی از محبوبترین مسیرها برای ورود به اروپا است، اما سؤال اصلی ای…
❤6
Showing the 12 most recent of 29 posts we hold for @Tech_Immigrants. 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.
جادوی ذهن @jadouye_zehn · 21,638 Telegram ranks this channel #67 of 82 here — alongside 81 others — read 25 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 27 September 2026 — this
entry's latest reading, not the date you are reading this.
“Tech Immigrants” (@Tech_Immigrants), 7,742 subscribers as measured 27 September 2026. Telegram Register, tgregister.com/channel/Tech_Immigrants.
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.