Job listings — 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 90% 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 the other topics.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear in near-verbatim form on 1 other registered channel. This entry also forms a group of 2 channels linked by matching posts. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (6 of the pairs behind the counts below)
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 7 of the 10 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.
“Published first” means first in this corpus. We hold 47 comparable posts for this entry, running 8 May 2026 to 9 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Of the group of 2 channels, the one whose matching posts we hold earliest is @CE_Job. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_copy, last confirmed 11 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Channels linked by matching posts
This channel is in a group of 2 registered channels linked by matching posts. Links are found by comparing text fingerprints across every channel on the register.
Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
28 measurements spanning 97 days, net +296. 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 6,148–6,532 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 28
Measured (UTC)
Subscribers
Change
11 Nov 2026, 09:05
6,488
+12
7 Nov 2026, 06:58
6,476
+5
4 Nov 2026, 14:47
6,471
+9
1 Nov 2026, 05:51
6,462
+1
29 Oct 2026, 15:48
6,461
+4
26 Oct 2026, 22:58
6,457
+9
24 Oct 2026, 07:09
6,448
+2
21 Oct 2026, 11:34
6,446
+21
18 Oct 2026, 04:30
6,425
+2
15 Oct 2026, 12:16
6,423
+19
12 Oct 2026, 05:20
6,404
+10
5 Oct 2026, 02:58
6,394
+27
26 Sept 2026, 18:57
6,367
+17
17 Sept 2026, 06:19
6,350
+20
13 Sept 2026, 01:58
6,330
+20
8 Sept 2026, 16:36
6,310
+28
3 Sept 2026, 18:16
6,282
+14
31 Aug 2026, 05:15
6,268
+20
28 Aug 2026, 04:48
6,248
-3
25 Aug 2026, 11:23
6,251
first reading
Engagement
49 posts held, back to 8 May 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 21 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
10.2%
avg views ÷ 6,488 subscribers
Avg views / post
659
13 posts measured
Reaction rate
0.082%
reactions ÷ views · ER floor
Posts in window
14
of 49 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 3 of 13 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 9 November 2026
Posts held
49 (8 May 2026 – 9 November 2026)
Views total
8,568
Reactions total
4
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
9 Nov 2026, 17:17 UTC
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
Video runtime
34s
Average length
34s
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.
Reaction mix
46 reactions across 27 posts, in 3 distinct kinds. The most used accounts for 89.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
41
89.1%
👍
4
8.70%
🙏
1
2.17%
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 32 of the 49 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 46 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 49 most recent posts we hold, published 8 May 2026 to 9 November 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
Telegram’s own ‘edited’ marker: 3 of 14 posts held from the last 30 days (21.4%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
با مکتبخونه، بورسیهی دانشگاه هاروارد شو!
🎉 مکتبخونه به مناسبت تولد ۱۵ سالگیش یک قرعهکشی ویژه برگزار کرده؛
از بورسیه دوره آموزشی دانشگاه هاروارد به ارزش ۲۰۰۰ دلار گرفته تا اشتراک ChatGPT Plus و مکتبخونه داره جایزه میده.
🔥 علاوه بر جوایز قرعهکشی، تخفیفهای ویژه تولد مکتبخونه هم فعال شده:
▪️ ۸۰٪ تخفیف اشتراک یکساله
▪️ تا ۷۰٪ تخفیف دورههای آموزشی
⏳ مهلت: تا ۲۲ آبان
🔗 برای مشاهده جوایز و شرایط شرکت در قرعه…
🚀 مهندس فولاستک (React / Next.js / Node.js یا Django)
📍 دانشگاه شهید بهشتی، ولنجک، تهران
⏰ تماموقت یا پارهوقت | توافقی
🏢 استارتاپ ثبتشده کاریابی؛
دنبال مهندسی هستیم که فقط کدنویس نباشد
و در تصمیمهای محصول مشارکت کند.
🧩 مسئولیتها
- توسعه فرانتاند و بکاند، از ایده تا انتشار
- دیتابیس، دیباگ و نگهداری
- استقرار روی VPS، CI/CD و مانیتورینگ
- استفاده از AI و LLM در محصول
🛠 مهارتها
- فرانت: React، Next.js، Ty…
🚀 نقشه راه ورود به بازار فریلنسینگ بینالمللی
طراح، برنامهنویس، دیزاینر یا تولیدکننده محتوا هستی؟
اما هنوز نمیدانی چطور با همین مهارتی که داری، پروژه بینالمللی بگیری و درآمد دلاری داشته باشی؟
در این وبینار، قدمبهقدم بررسی میکنیم که یک متخصص ایرانی چطور میتواند پروژه دلاری بگیرد و مسیر فریلنسینگ بینالمللی را شروع کند.
🎙 مدرس: حسین جوان کیش
📅 دوشنبه 18 آبان
⏰ ساعت ۱۹
این وبینار مناسب شماست اگر:
▪️ اگر فریلن…
فقط ۱ روز تا شروع دوره دیتاساینس دایکه زمان باقیست(ظرفیت محدود)
✅ دیتاساینتیست کارآزموده شوید و روزمه قوی برای خود بسازید.
🔸 بیش از 340 ساعت . 150 جلسه . 50 هفته . 27 پروژه . 9 کورس . 8 مدرس
♦ شیرجه در علم داده . آمار و احتمال . power BI . پایتون . منابع داده . ماشین لرنینگ . دیپ لرنینگ . بیگ دیتا . لینوکس و داکر
مشاوره رایگان و ثبت نام:
https://www.dayche.com/s/2hix2vch
جذب دستیار توسعه نرمافزار و هوش مصنوعی آقا در قالب خدمت سربازی
شرکت پایا روش مالاگر فعال در حوزه حمل و نقل هوشمند برای توسعه سامانههای هوشمند و نرمافزارهای مبتنی بر هوش مصنوعی، از یک نیروی فنی دارای سابقه عملی، کنجکاو و مسئولیتپذیر برای همکاری تماموقت دعوت میکند. برای متقاضیان واجد شرایط، امکان همکاری از طریق ظرفیتهای قانونی خدمت سربازی در شرکتهای دانشبنیان وجود دارد. احراز شرایط و استفاده از این ظرفیت تابع …
📢 دعوت به همکاری مدرس وردپرس (WordPress)
مجموعه آموزشی ما در تهران جهت توسعه دورههای آموزشی خود، از مدرسان و متخصصان وردپرس برای همکاری بهصورت حقالتدریس دعوت به همکاری میکند.
🔹 مهارتهای موردنیاز:
تسلط به WordPress و طراحی سایت
تسلط به Elementor
آشنایی با قالبها و افزونههای وردپرس
آشنایی با WooCommerce
توانایی نصب و راهاندازی وردپرس روی هاست
توانایی آموزش پروژهمحور از سطح مقدماتی
🔹 شرایط همکاری:
برگزاری کلا…
جذب دستیار توسعه نرمافزار و هوش مصنوعی آقا در قالب خدمت سربازی
شرکت پایا روش مالاگر فعال در حوزه حمل و نقل هوشمند برای توسعه سامانههای هوشمند و نرمافزارهای مبتنی بر هوش مصنوعی، از یک نیروی فنی دارای سابقه عملی، کنجکاو و مسئولیتپذیر برای همکاری تماموقت دعوت میکند. برای متقاضیان واجد شرایط، امکان همکاری از طریق ظرفیتهای قانونی خدمت سربازی در شرکتهای دانشبنیان وجود دارد. احراز شرایط و استفاده از این ظرفیت تابع …
🔴 اپلیکیشن ایرانی ساخت سیستم فروش با هوش مصنوعی رونمایی شد!
این سیستم کمک میکند مسیر ساخت درآمد را از انتخاب ایده و تولید محتوا تا جذب، پیگیری مشتری و فروش، داخل یک فرایند یکپارچه راهاندازی کنید.
✅ بدون نیاز به کسبوکار قبلی
✅ قابل اجرا با گوشی یا لپتاپ
✅ همراه با ابزارها و نقشه شروع
🎁 آموزش کار با اپلیکیشن و دسترسی به سیستم، در این نوبت داخل یک کارگاه آنلاین رایگان ارائه میشود.
👇🏼مشاهده نحوه کار و ثبتنام را…
🤖 استخدام مهندس مکانیک / مکاترونیک
فرصتی برای اثرگذاری حرفهای در پروژهای پیشرفته با افق بینالمللی، رشد علمی و یادگیری کنار تیمی پویا.
اگر پرانرژی و خودراهبر هستی، از چالش لذت میبری و در طراحی، ساخت و تست سیستم های رباتیک تجربه داری، به تیم ما بپیوند.
نیاز اصلی: تسلط به SolidWorks، طراحی مکانیزم، ساخت و مونتاژ، آشنایی پایه با فرآیند تست و عیبیابی، الکترونیک و کنترل.
📍 رباتیک هشت | تهران، مترو علم و صنعت
⏱ تما…
یه ایده تو ذهنته، ولی نمیدونی کارش رو به کی بسپری؟
🚀 همه چی خدمات
از طراحی سایت و ربات تلگرام تا نرمافزار، سرور و ویدیو، کارت رو از ایده تا تحویل شفاف جلو میبریم.
🤝 پرداخت مرحلهای؛ اگه وسط کار منصرف شدی، بقیهی پولت برمیگرده.
👇 عضو شو و ایدهت رو بگو
@Hamechi_Khadamat
✅ مسابقه کندل دهم شروع شد!
فقط کافیه قیمت رو درست حدس بزنی و برنده جایزه بشی!
📊 از سهشنبه تا پنجشنبه، هر روز یک تصویر چارت در کانال فارکس سیتی پرو منتشر میکنیم. سؤال هر روز هم مشخصه:
دهمین کندل بعد از نقطه مشخصشده، روی چه قیمتی بسته میشه؟
🏆 هر روز، ۳ نفری که نزدیکترین عدد رو به قیمت واقعی گفته باشن، برنده میشن.
🎁 جوایز هر روز:
🥇 نفر اول: 100 دلار
🥈 نفر دوم: 75 دلار
🥉 نفر سوم: 50 دلار
فردا اولین چارت م…
Showing the 12 most recent of 49 posts we hold for @workinja. 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.
Posts recorded as deleted after publishing
We recorded 4 posts on @workinja as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
7 August 2026
Most recent seen missing
3 November 2026
Median time before seen missing
2 days
Seen missing in the last 30 days
1
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 4 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.
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
1
we ourselves saw one of these resolve, at some point
Never seen alive
0
vacant every time we have ever looked
@workinja named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
@webrayn_academy named in 3 posts, 8 August 2026 – 11 August 2026 · confirmed gone 14 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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.
شبکه شاغلین مؤمن🇮🇷 @shaghelin · 65,635 Telegram ranks this channel #5 of 94 here — alongside 93 others — read 21 August 2026
Job Finding | Search for your job @jobs_finding · 20,482 Telegram ranks this channel #8 of 95 here — alongside 94 others — read 26 September 2026
سامانه کاریابی دانشگاه های تهران @job_ut · 27,070 Telegram ranks this channel #8 of 87 here — alongside 86 others — read 14 September 2026
قیمت دلار @FeeUSD · 109,372 Telegram ranks this channel #10 of 73 here — alongside 72 others — read 21 August 2026
Job Offer With me 🎉💪 @get_joboffer · 19,229 Telegram ranks this channel #11 of 96 here — alongside 95 others — read 2 October 2026
جابویژن | Jobvision | استخدام | کاریابی @jobvision · 59,154 Telegram ranks this channel #12 of 98 here — alongside 97 others — read 22 August 2026
قیمت طلا @Fee_Talaa · 44,653 Telegram ranks this channel #14 of 75 here — alongside 74 others — read 26 August 2026
فریلنسر دلاری | پروژه های خارجی @FreelancerEN · 36,305 Telegram ranks this channel #20 of 84 here — alongside 83 others — read 1 September 2026
کانال دورکاری @doorkaari · 29,773 Telegram ranks this channel #21 of 84 here — alongside 83 others — read 9 September 2026
خانه فریلنسرهای ماهر | دورکاری @FreelancerH · 30,203 Telegram ranks this channel #26 of 82 here — alongside 81 others — read 8 September 2026
ویکی تجربه - استخدام و بررسی شرکت ها @wiki_tajrobe · 79,511 Telegram ranks this channel #27 of 92 here — alongside 91 others — read 18 August 2026
پروژه لنسر | پاتوق دورکاری فریلنسرها @ProzheLancer · 40,916 Telegram ranks this channel #39 of 77 here — alongside 76 others — read 30 August 2026
Top Learn | تاپ لرن @top_learn · 19,297 Telegram ranks this channel #44 of 89 here — alongside 88 others — read 1 October 2026
Html and Css & Jsآموزش @htmlcss_channels · 22,743 Telegram ranks this channel #46 of 86 here — alongside 85 others — read 19 September 2026
JobFinder l کاریاب @shoghl_yaby · 20,920 Telegram ranks this channel #49 of 75 here — alongside 74 others — read 25 September 2026
وی پروژه | WeProje @weproje · 35,429 Telegram ranks this channel #49 of 78 here — alongside 77 others — read 2 September 2026
Babakbabaeichannel @Babakbabaeichannel · 52,367 Telegram ranks this channel #58 of 72 here — alongside 71 others — read 1 October 2026
کانال علمی بیگ بنگ @big_bangpage · 39,445 Telegram ranks this channel #68 of 98 here — alongside 97 others — read 31 August 2026
برنامه نویسی | Programming @Azad_Developers · 37,403 Telegram ranks this channel #71 of 88 here — alongside 87 others — read 31 August 2026
آموزش برنامه نویسی و طراحی سایت - سورس ایران @sourceiran · 20,873 Telegram ranks this channel #80 of 82 here — alongside 81 others — read 24 September 2026
This channel appears in 20 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 11 November 2026 — this
entry's latest reading, not the date you are reading this.
“WorkInja | IT فرصتهای شغلی حوزه” (@workinja), 6,488 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/workinja.
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.