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Telegram profile photo for IEM Twitter | توییتر مهندسی صنایع و مدیریت

Channel

IEM Twitter | توییتر مهندسی صنایع و مدیریت

@IEMTwitter

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

26,751subscribers

+215 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001334239085
TypeChannel
Username@IEMTwitter
Description🕊 متفاوت ترین رسانه مهندسی صنایع و مدیریت 📊 جهت درج تبلیغات، به آیدی زیر پیام دهید: 👇🏼 🆔 @IEMAds
CreatedBetween 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live11 November 2026
Measurements held59
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/IEMTwitter

Topic

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 10 September 2026 and assigned it the closest of 31 fixed categories, at 89% 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 2 other registered channels. This entry also sits inside a group of 3 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. 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)
Posted firstThenOverlapGap
@LinkedInLearning_ir/237916 Aug 2026, 15:26 UTC@IEMTwitter/8979 · this entry16 Aug 2026, 15:26 UTC1.00under a minute
@IEMTwitter/9021 · this entry24 Aug 2026, 20:28 UTC@LinkedInLearning_ir/239224 Aug 2026, 20:28 UTC1.00under a minute
@LinkedInLearning_ir/239425 Aug 2026, 07:30 UTC@IEMTwitter/9023 · this entry25 Aug 2026, 07:30 UTC1.00under a minute
@LinkedInLearning_ir/240026 Aug 2026, 16:27 UTC@IEMTwitter/9029 · this entry26 Aug 2026, 16:27 UTC1.00under a minute
@IEMTwitter/9125 · this entry25 Oct 2026, 09:30 UTC@LinkedInLearning_ir/247025 Oct 2026, 09:30 UTC1.00under a minute
@IEMTwitter/8928 · this entry8 Aug 2026, 13:24 UTC@sanayesho/369498 Aug 2026, 18:06 UTC1.004.7 hours
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
ChannelMatching postsText overlapTypical gapPublished first
@LinkedInLearning_ir20 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (17–3)
@sanayesho9 (8/8 hand-verifiable sample passed)1.0032 hoursthis entry (8–1)

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. 3 of the 3 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 215 comparable posts for this entry, running 5 August 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 3 channels, the one whose matching posts we hold earliest is @LinkedInLearning_ir. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, 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 3 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. 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.

Growth

26,46226,90626,6846 August 2026 — 26,536 subscribers7 August 2026 — 26,530 subscribers8 August 2026 — 26,537 subscribers9 August 2026 — 26,536 subscribers10 August 2026 — 26,538 subscribers11 August 2026 — 26,534 subscribers12 August 2026 — 26,522 subscribers13 August 2026 — 26,523 subscribers14 August 2026 — 26,526 subscribers16 August 2026 — 26,522 subscribers17 August 2026 — 26,515 subscribers18 August 2026 — 26,512 subscribers19 August 2026 — 26,501 subscribers20 August 2026 — 26,491 subscribers22 August 2026 — 26,484 subscribers23 August 2026 — 26,474 subscribers25 August 2026 — 26,471 subscribers26 August 2026 — 26,465 subscribers27 August 2026 — 26,462 subscribers28 August 2026 — 26,497 subscribers29 August 2026 — 26,514 subscribers30 August 2026 — 26,520 subscribers31 August 2026 — 26,516 subscribers1 September 2026 — 26,499 subscribers2 September 2026 — 26,490 subscribers3 September 2026 — 26,495 subscribers4 September 2026 — 26,527 subscribers8 September 2026 — 26,566 subscribers11 September 2026 — 26,557 subscribers12 September 2026 — 26,619 subscribers14 September 2026 — 26,695 subscribers16 September 2026 — 26,698 subscribers18 September 2026 — 26,705 subscribers1 October 2026 — 26,906 subscribers6 October 2026 — 26,900 subscribers10 October 2026 — 26,885 subscribers13 October 2026 — 26,859 subscribers15 October 2026 — 26,847 subscribers16 October 2026 — 26,836 subscribers17 October 2026 — 26,829 subscribers19 October 2026 — 26,828 subscribers21 October 2026 — 26,833 subscribers22 October 2026 — 26,825 subscribers23 October 2026 — 26,814 subscribers25 October 2026 — 26,806 subscribers26 October 2026 — 26,796 subscribers27 October 2026 — 26,790 subscribers28 October 2026 — 26,779 subscribers29 October 2026 — 26,776 subscribers30 October 2026 — 26,774 subscribers31 October 2026 — 26,777 subscribers2 November 2026 — 26,771 subscribers3 November 2026 — 26,763 subscribers4 November 2026 — 26,761 subscribers5 November 2026 — 26,762 subscribers6 November 2026 — 26,766 subscribers8 November 2026 — 26,768 subscribers9 November 2026 — 26,760 subscribers11 November 2026 — 26,751 subscribers26,7516 August 202611 November 2026
59 measurements spanning 96 days, net +215. 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 26,395–26,973 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 59
Measured (UTC)SubscribersChange
11 Nov 2026, 00:5726,751-9
9 Nov 2026, 08:5626,760-8
8 Nov 2026, 03:1926,768+2
6 Nov 2026, 21:5726,766+4
5 Nov 2026, 22:1626,762+1
4 Nov 2026, 21:2526,761-2
3 Nov 2026, 18:0726,763-8
2 Nov 2026, 20:5626,771-6
31 Oct 2026, 17:3526,777+3
30 Oct 2026, 15:5526,774-2
29 Oct 2026, 16:5526,776-3
28 Oct 2026, 17:0126,779-11
27 Oct 2026, 17:4626,790-6
26 Oct 2026, 16:2926,796-10
25 Oct 2026, 16:4826,806-8
23 Oct 2026, 15:4426,814-11
22 Oct 2026, 12:4826,825-8
21 Oct 2026, 04:4026,833+5
19 Oct 2026, 04:0726,828-1
17 Oct 2026, 06:1626,829first reading

Engagement

229 posts held, back to 5 August 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 152 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
13.1%
avg views ÷ 26,751 subscribers
Avg views / post
3,500
50 posts measured
Reaction rate
0.225%
reactions ÷ views · ER floor
Posts in window
50
of 229 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 43 of 50 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 10 November 2026
Posts held229 (5 August 2026 – 10 November 2026)
Views total175,017
Reactions total361
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 06:15 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

Photos
≈3,190
Videos
≈593
Links
≈1,390

Lifetime counters from Telegram’s own channel header, read 11 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
1h 14m
Average length
4m 57s

Measured directly from 15 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

6,498 reactions across 207 posts, in 17 distinct kinds. The most used accounts for 30.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1,95430.1%
🤣1,80327.7%
👍1,41421.8%
😭3545.45%
😁2644.06%
🔥1662.55%
🤡1572.42%
😐1231.89%
👎1201.85%
😢761.17%
👌220.339%
🤯150.231%
😍130.2%
👏100.154%
💯40.062%
😡20.031%
🎉10.015%

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 211 of the 229 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 6,498 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 229 most recent posts we hold, published 5 August 2026 to 10 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.

Telegram Stars

Stars received
4
across the posts below
Posts paid on
4
of 229 we hold a reading for · 2%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @IEMTwitter. 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 229 most recent posts we hold for this entry, published 5 August 2026 to 10 November 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.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 50 posts held from the last 30 days (0%) 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).

10 Nov 2026, 20:04 UTC837 viewsread 11 November 2026
Forwarded from @TahlildadehAcademyPhoto

🐍 مسیر کار و کسب درآمد در هوش مصنوعی رو از پایتون شروع کن! 😀 دوره جامع پایتون آموزشگاه تحلیل داده ⚡️از صفر، پروژه‌محور و قدم‌به‌قدم همراه مدرس. 🏫 ۲۷ سال تجربه آموزشی و امکان مراجعه حضوری 💻 کلاس حضوری و آنلاین هم‌زمان 🛠 رفع اشکال واقعی روی کد خودت؛ حضوری یا با AnyDesk 🎥 فیلم جلسات و گروه پشتیبانی فعال بعد از دوره ✅ آموزشگاه دارای مجوز رسمی؛ مدرک مورد تأیید فنی‌وحرفه‌ای 💳 پرداخت اقساطی | تخفیف پرداخت نقدی 👇 زمان کل…

9 Nov 2026, 17:29 UTC≈2,300 views19 reactionsread 11 November 2026

👨🏻‍💻 به دانشجو گفتم مقاله بنویس ولی لحن ai نباشه. رفته به کلاد گفته تمامی نشانه‌های لحن هوش مصنوعی رو لیست کن، بعد بهش گفته هیچوقت اینطوری برام متن ننویس. 🔵بعد اونو تبدیل به یه Skill کرده و الان دیگه کسی نمی‌فهمه متن AI بوده. جز من که می‌دونم این سواد نوشتن یه پاراگراف متنم نداره. 🟣اگه خواستین از AI تو مقالاتتون استفاده کنید فقط یادتون باشه مقاله‌ای که همش رو با AI بنویسید احتمال ریترکت داره!! 🔵راهش اینه که هر چی…

❤15👎4

9 Nov 2026, 16:27 UTC≈2,320 views4 reactionsread 11 November 2026
Forwarded from @hashtagadsPhoto

بورسیه‌ی ۲۰۰۰ دلاری دانشگاه هاروارد با مکتب‌خونه 🎉 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…

❤2👍1👎1

8 Nov 2026, 17:40 UTC≈2,960 views22 reactionsread 11 November 2026
Photo

👨🏻‍💻 یه نظریه‌ی معتبر به نام «۲۰ ساعت اول» از جاش کافمن وجود داره که می‌گه اگه شما فقط ۲۰ ساعت تمرینِ متمرکز، هدفمند و پیوسته (یعنی تقریباً روزی ۴۵ دقیقه برای یک ماه) روی یک مهارت جدید بذارید، از حالت «صفرِ مطلق» به سطحی می‌رسید که عملکرد کاملاً معقول و خوبی تو اون مهارت خواهید داشت. ▶️ چون شیب منحنی یادگیری در همون ساعات اولیه بسیار تنده. شما در ۲۰ ساعت اول، مفاهیم پایه رو درک می‌کنید، خطاهای احمقانه رو می‌شناسید …

❤21👍1

8 Nov 2026, 15:35 UTC≈2,770 viewsread 11 November 2026
Photo

📚 می‌خوای یه مهارت واقعی یاد بگیری که برات درآمد بسازه؟ قدم اولش رایگانه! 😍 لازم نیست از قبل چیزی بلد باشی. توی یه وبینار کاملا رایگان می‌بینی دقیقاً از کجا شروع می‌شه و قدم‌به‌قدم چطور جلو می‌ری 🎁 آموزش کامل، اتصال مستقیم کارجو و کارفرما و امکان پرداخت اقساطی، همه توی یه پلتفرم 🤝 اگه دنبال یه مهارت و درآمد کنار درس و دانشگاه هستی، این فرصت رو از دست نده! 👇 ثبت‌نام در وبینار رایگان ثبت‌نام در وبینار رایگان ثبت‌ن…

8 Nov 2026, 14:28 UTC≈2,450 views3 reactionsread 11 November 2026
Forwarded from @BabakMohammadpour_irPhoto

⚙️ رشد بدون استخدام: ۵ کار تکراری که می‌شود خودکارش کرد قبل از استخدام نیروی جدید، این کارها را خودکار کنید: ۱. جواب سؤال‌های تکراری مشتری: پاسخ آماده یا ربات ساده ۲. یادآوری پرداخت: پیامک زمان‌بندی‌شده ۳. ثبت سفارش: فرم آنلاین متصل به جدول ۴. گزارش فروش روزانه: داشبورد ساده به‌جای جمع‌زدن دستی ۵. پیش‌نویس متن‌ها: با هوش مصنوعی، و فقط ویرایش 💡 از پرزحمت‌ترین کار شروع کنید. ❓ کدام کار تکراری بیشترین وقت شما را می‌…

❤2👍1

8 Nov 2026, 13:26 UTC≈2,410 views2 reactionsread 11 November 2026
Photo

🚀 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…

👍1🤡1

8 Nov 2026, 12:24 UTC≈2,430 views3 reactionsread 11 November 2026
Photo

🔴 با ۲۰۰ آموزش جدید تمدید شد — طرح شگفتی فرادرس 💯 ۴۰۰+۲۰۰ آموزش در فرادرس، هر آموزش ۱۱۹ هزار تومان 📣 فهرست آموزش‌های طرح «شگفتی آموختن» به‌روزرسانی شد؛ ۲۰۰ آموزش جدید جایگزین آموزش‌های قبلی شده‌اند. 👇 برخی از جدیدترین آموزش‌ها 👇 🔸 استاندارد مدیریت پروژه PMBOK نسخه ۸ 🔸 مدلسازی فرایندهای کسب و کار با Bizagi Modeler 🔸 مدیریت ریسک + نکات کاربردی 🔸 انبارداری با اکسل Excel – مقدماتی 🔸 اصول و مبانی سازمان و مدیریت …

❤3

4 Nov 2026, 16:06 UTC≈4,130 views10 reactionsread 11 November 2026
Photo

👨🏻‍💻 یه مقاله پژوهشی خوب فقط به «خوب نوشتن» نیست؛ بلکه مهم «قرار دادن اطلاعات درست در بخش مناسبه». ⬅️ وقتی هر بخش از مقاله شما از مقدمه تا نتیجه‌گیری هدف مشخصی داشته باشه، این‌طوری مقاله‌تون برای داورها هم شفاف‌تر، خوانشش روون‌تر و احتمال تأثیرگذاری و استناد بهش بیشتر میشه. 🏷 جزوه فارسی: PDF ✍🏼 Ali ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ 🐦 توییتر صنایع و مدیریت 🕊 @IEMTwitter

👍6❤4

4 Nov 2026, 14:24 UTC≈1,950 viewsread 6 November 2026
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💥 ۸۰ درصد تخفیف برای همه آموزش‌های فرادرس 🔖 در فرادرس، برای موضوعات و مهارت‌های مختلف، مسیرهای یادگیری مرحله‌به‌مرحله طراحی شده‌اند تا بتوانید از نقطه شروع، مسیر یادگیری خود را بهتر بشناسید و قدم‌به‌قدم پیش بروید. 👇 مسیرهای یادگیری پرطرفدار در فرادرس 👇 ✔️ کنترل کیفیت آماری و ابزارها ✔️ مدیریت چابک و روش‌های اجرای پروژه ✔️ برنامه‌ریزی و کنترل تولید ✔️ تحقیق در عملیات ✔️ آموزش ChatGPT و دستیارهای متنی 🎁 کد تخفی…

3 Nov 2026, 18:33 UTC≈4,730 views4 reactionsread 11 November 2026
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👩🏻‍💻 شرکت Anthropic یه راهنمای عملی کاملاً رایگان برای ساخت استارتاپ‌های هوش مصنوعی منتشر کرده. 🏷 این راهنما فقط یه سری تئوری خسته‌کننده نیست، بلکه یه نقشه راه کاملاً عملیه که توضیح داده چطور می‌تونید هوش مصنوعی رو تو تمام مراحل توسعه یه شرکت ادغام کنید. ⬅️ بعدش کلی کیس‌استادی‌های پروژه‌های واقعی رو بررسی کردن و ده‌ها تمرین عملی گذاشتن که می‌تونید همین الان روی بیزینس خودتون پیاده‌شون کنید. 👍 مهم‌ترین مباحثی که…

❤4

3 Nov 2026, 16:24 UTC≈2,240 views2 reactionsread 6 November 2026
Forwarded from @hashtagadsPhoto

👈 ثبت‌نام اولین بوت‌کمپ جامع طراحی سایت با وردپرس +هوش مصنوعی 🤖مکتب شریف شروع شد 😍 💻 توی این دوره یاد می‌گیری چطور با قدرت وردپرس و سرعت ابزارهای هوش مصنوعی، سایت‌های فروشگاهی و شرکتی فوق‌حرفه‌ای بسازی و وارد بازار کار و فریلنسری بشی 💼 👈 ثبت‌نام اولین دوره طراحی سایت با AI "با امکان پرداخت ۴ ماهه و اعتبار اسنپ‌پی + استعدادسنجی رایگان" ❗️گفتگو با مشاور ثبت‌نام هوشمند‌‌‌‌ مکتب 🔽 🆔 @MaktabSharif_Admin 📱 کانا…

❤1🤡1

Showing the 12 most recent of 229 posts we hold for @IEMTwitter. 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 edited after publishing

@IEMTwitter edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
22 August 2026
Most recent edit
22 August 2026

Posts recorded as deleted after publishing

We recorded 11 posts on @IEMTwitter 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
16 August 2026
Most recent seen missing
4 November 2026
Median time before seen missing
5 days
Seen missing in the last 30 days
4

Forward network

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.

Mentions

Named by 11 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.

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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

دپارتمان تخصصی مهندسی صنایع
@iedep · 9,705
#1
کانال دکتر مجید ایوزیان
@m_eyvazian · 12,608
#2
انجمن علمی مهندسی صنایع شریف
@ssa_iesharif · 6,330
#3
IE Apply | اپلای مهندسی صنایع
@IE_Apply · 2,556
#4
IE Jobs | فرصت های شغلی مهندسی صنایع
@IE_Jobs · 2,415
#5
SUT Twitter
@sut_tw · 91,875
#6
شورای صنفی صنایع شریف
@sharif_senfi_IE · 1,390
#7
Power BI | تحلیل داده | SQL
@PowerBI_ir · 22,001
#8
انجمن مهندسی صنایع ایران
@iiie_ir · 7,061
#9
مشاوره کنکور صنایع | سپیده مقدم
@sepide_mghdm · 2,386
#10
دکتر امیرمحمد گل‌محمدی
@amgolmohammadi · 4,456
#11
انجمن علمی مهندسی صنایع دانشگاه تهران
@ut_ie · 5,159
#12
دپارتمان مهندسان صنایع ایران
@iiedep · 11,533
#13
موسسه توسعه
@tiheac · 8,888
#14
انجمن علمی مهندسی صنایع دانشگاه صنعتی خواجه نصیرالدین طوسی
@induskntu · 3,704
#15
انجمن علمی مهندسی صنایع
@ssiediust · 4,650
#16
کانال دانشکده مهندسی صنایع
@IE_SUT · 4,654
#17
روزنامه شریف | SharifDaily
@sharifdaily · 30,567
#18
کالج صنایعشو‌‌| آموزش و مشاوره شغلی و مشاوره درآمدزایی و مشاوره کسب و کار
@sanayesho · 8,147
#19
Data Science | علم داده
@DataScience_ir · 50,222
#20
Industrial Engineering
@industrialchannel · 6,526
#21
کانال دکتر احسان خاکبازان
@ehsan_khakbazan · 4,186
#22
مجله صنایع
@IESUTMagazine · 1,245
#23
دانشکده مهندسی صنایع دانشگاه خواجه نصیرالدین طوسی
@industry_kntu · 698
#24
مهندسی صنایع پارس پژوهان
@parspajouhaan_industry · 5,898
#25
کانال شخصی امیر ایمن پور
@amir_imenpour · 3,340
#26
TechTube 𝕏 تک توب
@TechTube · 75,094
#27
اتحادیه انجمن‌های علمی دانشجویی مهندسی صنایع کشور
@ussaie1 · 1,965
#28
آموزش دانشکده مهندسی صنایع و سیستم ها
@dep_ind_eng_iut · 1,119
#29
Business Analytics
@SUTprocessmining · 2,341
#30
مدرسه دقیقه
@dlearn_ir · 4,528
#31
انجمن علمی مهندسی صنایع دانشگاه صنعتی اصفهان
@industrial_iut · 3,290
#32
الفبای صنایع
@alefbayesanaye · 1,224
#33
پادکست جایگشت
@JaygashtPodcast · 449 (as read 12 September 2026)
#34
مهمات دانشگاه شریف
@sharif_ie · 53,213
#35
گرولی | آموزش مهارت‌های شغلی
@growly_ir · 2,917
#36
اخبار کلاس های 1402 مهندسی صنایع پژوهش
@paj1402 · 875
#37
Pyomo, python, optimization بهینه سازی و تحقيق در عمليات در پایتون
@pyomochannel · 2,781
#38
IE 99 Notices
@IE99SUT · 394
#39
انجمن علمی مهندسی صنایع دانشگاه خوارزمی
@iekhu · 2,636
#40
کانال دانشجویان دانشگاه صنعتی خواجه نصیر
@kntu_ac · 15,160
#41
اخبار صنایع تبریز
@tbzie_news · 387
#42
دانشکده صنایع علم و صنعت
@IUSTIE · 2,208
#43
IE Docs
@IE_Docs · 1,184
#44
VC IE
@VC_IE · 3,114
#45
مرکز کارآفرینی شریف
@karafarinisharif · 13,501
#46
استارتاپ و هوش مصنوعی با مانوئل
@manuelohan · 5,979
#47
Python Hints
@pyHints · 10,270
#48
دانشگاه صنعتی شریف
@Sharif_prm · 39,636
#49
↻ Retro Product | رترو پروداکت
@RetroProduct · 3,758
#50
کالج علم داده | Data College
@DataScience_Function · 444
#51
باشگاه مهندسان صنایع ایران
@clubi · 4,325
#52
انجمن علمی مهندسی صنایع دانشگاه نوشیروانی بابل
@ienit · 1,039
#53
Spark | اسپارک
@ce_spark · 2,112
#54
📘 Optimyar | آپتیم‌یار
@Optimyar · 2,249
#55
صنایع و مدیریت qie.ir
@qieSanaye · 15,675
#56
کاریابی مهندسی صنایع
@ie_karyabi · 1,660
#57
IUT Educational Affairs-مدیریت خدمات آموزشی دانشگاه صنعتی اصفهان
@IUT_EDU · 11,338
#58
SSIEDIUST Jobs
@ssiediust_jobs · 994
#59
آکادمی تحلیل کسب و کار
@baacademyir · 4,187
#60
⚙️ IE WORLD ⚙️
@IE_SUT400 · 547
#61
Novel Python |برنامه نویسی| پایتون
@Novel_Python · 1,241
#62
انجمن علمی مهندسی صنایع و سیستم ها باهنر کرمان
@Ien_uk · 1,152
#63
انجمن علمی مهندسی صنایع دانشگاه یزد
@yazdiss · 2,515
#64
کانال دکتر رئوف‌پناه
@hossein_raoofpanah · 1,777
#65
مهندسی صنایع علوم تحقیقات
@srb_sanaye · 1,272
#66
Product Inbox
@productinbox · 3,565
#67
Deep Time
@deeptimeai · 3,879
#68
مشاوره کنکور ارشد و دکتری صنایع
@AmirMehdi_Rezaei · 2,666
#69
کالج مهندسی صنایع و مدیریت | IEM College
@IEM_Function · 519
#70
ISE FUM Redirect
@Iefumm · 3
#71
Machine Learning | یادگیری ماشین
@MachineLearning_ir · 34,710
#72
کانال خبرگزاری مهندسی صنایع
@mohandesi_sanaaye · 565
#73
شورای صنفی دانشجویان دانشگاه صنعتی شریف
@sharif_senfi · 14,180
#74
فن کاو
@FanKaav · 423
#75
مووی کاتیج
@CottageOrg · 744,032
#76
IE-Business Apply (Channel)
@ieapply · 3,484
#77
در مسیر بهتر شدن، یادداشت‌های شخصی محمد مهدی پوربصیر
@mmpourbasir · 3,705
#78
💎‌اطلاع رسانی ارشد،دکتری صنایع وIT
@sautacir · 1,219
#79
دانشــ🎓ــجو
@Daneshjoo · 357,672
#80
انجمن علمی مهندسی صنایع دانشگاه تبریز
@ie_tu · 787
#81
DevTwitter | توییت برنامه نویسی
@devtwitter · 33,489
#82
خُرم، خرامان می‌روم
@featherssss · 256
#83
ابوطالب حسینی
@abutalebhosseini · 97,077
#84
My booklets
@mahdineveshtt · 288 (as read 12 September 2026)
#85
Sharif Sports
@sharifsports · 8,588
#86
آموزش دانشگاه صنعتی شریف
@edu_sharif · 20,616
#87
SUT Trends | شریف ترندز
@SUT_Google · 2,627
#88
گروه مهندسی صنایع و سیستمها دانشگاه فردوسی مشهد
@iefum · 1,296
#89
Mohammad Discovery
@mohammaddiscoveries · 3,448
#90
Startup360
@startup360 · 7,970
#91

Read from Telegram’s recommendation API, most recently 12 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

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.

Power BI | تحلیل داده | SQL
@PowerBI_ir · 22,001
Telegram ranks this channel #3 of 89 here — alongside 88 others — read 22 September 2026
آموزش اکسل | Ms Excel
@VBA_Excel · 102,806
Telegram ranks this channel #13 of 92 here — alongside 91 others — read 15 August 2026
جاب‌ویژن | Jobvision | استخدام | کاریابی
@jobvision · 59,154
Telegram ranks this channel #19 of 98 here — alongside 97 others — read 22 August 2026
مهارت های اکسل
@excel_skills · 37,529
Telegram ranks this channel #23 of 86 here — alongside 85 others — read 1 September 2026
برنامه ریزی رایگان مطالعه زبان ارشد و دکتری
@GeneralEnglishPlan · 33,423
Telegram ranks this channel #26 of 90 here — alongside 89 others — read 5 September 2026
اطلاع رسانی زبان ترکیبی وادانا دانشگاه آزاد
@zaban_tarkibivadana · 54,529
Telegram ranks this channel #34 of 80 here — alongside 79 others — read 23 August 2026
نخبگان ایران
@bmniran · 22,153
Telegram ranks this channel #36 of 94 here — alongside 93 others — read 23 September 2026
اخبار و جزوه برتر
@JozveBartarOfficial · 29,047
Telegram ranks this channel #39 of 92 here — alongside 91 others — read 8 September 2026
دانشجو یار | کاد گروپ
@kadgroup_telegram · 23,729
Telegram ranks this channel #50 of 89 here — alongside 88 others — read 16 September 2026
اپلای مپ
@ApplyMap · 19,422
Telegram ranks this channel #61 of 92 here — alongside 91 others — read 30 September 2026
Data Science | علم داده
@DataScience_ir · 50,222
Telegram ranks this channel #68 of 92 here — alongside 91 others — read 25 August 2026
شبکه کارشناسی ارشد
@mastertest · 49,524
Telegram ranks this channel #71 of 93 here — alongside 92 others — read 27 August 2026

This channel appears in 12 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.

“IEM Twitter | توییتر مهندسی صنایع و مدیریت” (@IEMTwitter), 26,751 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/IEMTwitter.

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.