2 measurements spanning 1 day. 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 173–175 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
8 Aug 2026, 14:02
174
no change
7 Aug 2026, 09:41
174
first reading
Engagement
20 posts held, back to 15 February 2023 — 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 pageof 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 21 May 2023. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Photos
21
Links
23
Lifetime counters from Telegram’s own channel header, read 8 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Reaction mix
53 reactions across 11 posts, in 4 distinct kinds. The most used accounts for 37.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
20
37.7%
❤
19
35.8%
👍
12
22.6%
👎
2
3.77%
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 12 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 53reactions 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 15 February 2023 to 21 May 2023, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
💎 انجمنهای علمی مهندسی صنایع دانشگاه علم و صنعت و مدیریت دانشگاه صنعتی شریف برگزار میکنند:
🔥 وبینار آشنایی با رشته MBA
💡 از آشنایی تا بازار کار
👤 سخنران: مهندس میلاد ادریسیان
🔸 دانشجوی رشته MBA دانشگاه صنعتی شریف
🔸 فارغ التحصیل مهندسی صنایع دانشگاه صنعتی شریف
🔸 سرپرست برنامهریزی زنجیرهتامین در گروه صنعتی گلرنگ
📋 سرفصلها:
🔹 معرفی کلی رشته MBA و گرایشهای آن
🔹 مزایا و معایب تحصیل در رشته MBA
🔹 رشته MBA از م…
⭐️ انجمن علمی مهندسی صنایع دانشگاه علم و صنعت ایران برگزار میکند:
🔴⚪️ مجموعه ترندی شو
✔️ قسمت پنجم
🔥 وبینار کاربردهای Chat GPT برای دانشجویان
👤 سخنران: مهندس مجید حسینی
🔹 مدیر بازاریابی محصول خانه سرمایه
🔹 مشاور توسعه کسب و کار موسسه توسعه و پژوهش
🔹 کارشناسی ارشد صنایع دانشگاه امیرکبیر
📋 سرفصلها:
🔶 معرفی ChatGPT و ابزارهای مبتنی بر هوش مصنوعی دیگر
🔶 نحوه ثبت نام در ChatGPT با شماره مجازی
و
🔶 بررسی کاربردهای Cha…
📣 سلام و درود خدمت همراهان ترندی شو 🖐
امیدواریم حالتون خوب باشه 😊
در حال حاضر ما در حال برگزاری این دوره هستیم
و از اونجایی که Deep Learning یک موضوع ترند، اینجا هم مجموعه ترندی شو و شما مخاطبین خوب ما هستید
ما کد تخفیف ۳۵ درصدی براتون در نظر گرفتیم که اگه تا ۶ اردیبهشت ثبتنام کنید تخفیف زودهنگام ۱۵ درصدی هم به اون اضافه میشه
⏳این فرصت رو از دست ندهید ‼️
راستی اولین وبینار ترندی شو با استاد این دوره (مهندس سجاد ح…
✨ انجمن علمی مهندسی صنایع دانشگاه علم و صنعت، خوارزمی و خواجه نصیر برگزار میکنند:
🔴 دوره آموزشی دیپ لرنینگ
👤 مدرس: مهندس سجاد حیدری
🔹 تحلیلگر داده دکتر ساینا
🔹 دیتا ساینتیست سابق اسنپفود
🔹 مشاور علم داده در حوزههای مختلف
📆 از ۱۴ اردیبهشت ماه (پنجشنبهها و جمعهها)
⏰ ساعت ۱۱ الی ۱۴
🕑 بیش از ۳۶ ساعت آموزش
🔻 تخفیف ویژه برای ثبت نام زودهنگام تا تاریخ ۶ اردیبهشت
🟡 ثبتنام و مشاهده سرفصلهای کامل دوره از طریق …
💠 انجمن علمی مهندسی صنایع دانشگاه علم و صنعت ایران 💠
🔴⚪️ مجموعه ترندی شو
انجمن علمی مهندسی صنایع دانشگاه علم و صنعت با ایجاد مجموعه ترندی شو و با هدف برگزاری سمینارها و وبینارهای رایگان علمی در حوزههای ترند و دعوت از افراد باتجربه و موفق در اون حوزهها سعی در آشنا شدن افراد با حوزههای ترند و افزایش توانمندی آنها در این حوزهها دارد. 😉
✅ موضوعات برگزار شده تا اینجا 👇
🔹 علم داده و یادگیری ماشین، از شروع تا موفقیت…
✔️ شرکت OpenAI از مدل هوش مصنوعی GPT-4 رونمایی کرد 🔥
⚡️ شرکت OpenAI، سازنده چتبات مطرح ChatGPT که امروز جزو ترندهای روز دنیاست، جدیدترین مدل هوش مصنوعی خود، GPT-4 را عرضه کرد.
⭐️ این مدل قدرتمند قادر به درک تصاویر و متون است و از امروز از طریق سرویس پولی ChatGPT Plus در اختیار افراد قرار میگیرد، البته توسعهدهندگان باید برای دسترسی به API آن در لیست انتظار قرار بگیرند.
⭕️ طبق ادعای OpenAI، این مدل از همیشه خلاق…
🔥 ایدههای بیزنسی ترند از نظر استیو جابز؟ 🤔
👤 از هوش مصنوعی پرسیدم:
میشه از استیو جابز بپرسی اگه الان زنده بود روی چه ایدهی بیزینسی کار میکرد؟
🤖 هوش مصنوعی گفت:
متاسفانه، استیو جابز در سال 2011 درگذشت و نمیتوانم از او پرسش کنم، اما، به طور کلی استیو جابز برای ایدههای نوآورانه و قوی خودش شناخته شده بود. او با توجه به فرصتهای بازار و نیازهای مشتریان، شرکت اپل را با ایدههایی مانند کامپیوتر شخصی، آیپاد، آیفون و آ…
💠 انجمن علمی مهندسی صنایع دانشگاه علم و صنعت ایران 💠
👨💼👩💼 مجموعه SSIEDIUST Jobs
انجمن علمی مهندسی صنایع دانشگاه علم و صنعت با ایجاد مجموعه SSIEDIUST Jobs و با هدف تسهیل ارتباط و رفع نیاز کارجو و کارفرما و آشنایی افراد با توانمندیهای لازم هر موقعیت شغلی در حوزههای مختلف به ارائه و معرفی فرصتهای شغلی و کارآموزی برای دانشجویان و فارغالتحصیلان میپردازد. 😁
برای درج رایگان آگهی با آیدی زیر در ارتباط باشید 👇
🆔 @SS…
Showing the 12 most recent of 20 posts we hold for @trendishoo. 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.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
وبینار با موضوع کاربردهای Chat GPT برای دانشجویان بذاریم؟
آره حتما 👍79%
نه ... 🗿21%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none.The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100.Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 20 most recent posts we hold, published 15 February 2023 to 21 May 2023. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Citation-graph rank
Citation-graph rank — 1,152,543 of 1,169,250entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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 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.
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 8 August 2026 — this
entry's latest reading, not the date you are reading this.
“TrendiShoo | تِرِندی شو” (@trendishoo), 174 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/trendishoo.
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.