Telegram RegisterThe public register of Telegram

Channel

کاربردهای هوش مصنوعی دکتر پیرملکی

@AI_in_Practice

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry

14,433subscribers

+330 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-1001532914106
TypeChannel
Username@AI_in_Practice
CreatedBetween 1 August 2021 and 28 February 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/AI_in_Practice

Growth

14,10314,43314,2686 August 2026 — 14,103 subscribers7 August 2026 — 14,120 subscribers7 August 2026 — 14,187 subscribers8 August 2026 — 14,251 subscribers9 August 2026 — 14,303 subscribers10 August 2026 — 14,353 subscribers11 August 2026 — 14,379 subscribers12 August 2026 — 14,386 subscribers13 August 2026 — 14,433 subscribers6 August 202613 August 2026
9 measurements spanning 7 days, net +330. 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 14,054–14,483 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 17:3914,433+47
12 Aug 2026, 18:1414,386+7
11 Aug 2026, 21:3614,379+26
10 Aug 2026, 21:4414,353+50
9 Aug 2026, 23:3314,303+52
8 Aug 2026, 23:5114,251+64
7 Aug 2026, 22:5714,187+67
7 Aug 2026, 00:2014,120+17
6 Aug 2026, 19:4914,103first reading

Engagement

36 posts held, back to 30 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 18 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
21.1%
avg views ÷ 14,433 subscribers
Avg views / post
3,050
34 posts measured
Reaction rate
0.907%
reactions ÷ views · ER floor
Posts in window
36
of 36 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 32 of 34 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 13 August 2026
Posts held36 (30 July 202613 August 2026)
Views total103,710
Reactions total908
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Aug 2026, 16:36 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
40s
Average length
40s

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

908 reactions across 31 posts, in 25 distinct kinds. The most used accounts for 45.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
41145.3%
👍9910.9%
😡798.70%
🤬677.38%
💔647.05%
👌454.96%
🙏272.97%
👎262.86%
👏171.87%
🤨161.76%
🤔141.54%
🔥70.771%
🍌50.551%
😍50.551%
🤣40.441%
🥴40.441%
💘30.33%
🤯30.33%
🌭20.22%
💊20.22%
5 further kinds80.881%

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 36 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 908reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 36 most recent posts we hold, published 30 July 2026 to 13 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.

Recent posts

13 Aug 2026, 16:33 UTC20 viewsread 13 August 2026
Photo

⚡️ اگر هنوز برای انجام یک پروژه، ده‌ها پرامپت پشت‌سرهم می‌نویسید، احتمالاً هنوز قدرت واقعی ChatGPT را ندیده‌اید! حالت Work در ChatGPT فقط به شما «پاسخ» نمی‌دهد؛ بلکه می‌تواند یک مأموریت چندمرحله‌ای را از ابتدا تا رسیدن به خروجی قابل‌استفاده پیش ببرد. 🧠 در حالت Work هدف را مشخص می‌کنید و انجام یک کار واقعی را واگذار می‌کنید. این یعنی حرکت از «پرسش و پاسخ با هوش مصنوعی» به سمت «واگذاری یک گردش‌کار کامل به هوش مصنوعی»

Signed F.khademi

12 Aug 2026, 07:10 UTC≈1,690 views73 reactionsread 13 August 2026

سفر معنوی با قرآن👇 @Quranic_Spiritual_journey

46😡19👍6🎉1💊1

Signed پویا پیرملکی

11 Aug 2026, 19:46 UTC≈2,310 views127 reactionsread 13 August 2026

اطلاعیه تعطیلی موقت فعالیت‌های کانال.‌ ​با عرض تسلیت به مناسبت فرارسیدن سالروز شهادت حضرت محمد مصطفی صلی الله علیه وآله وسلم و حضرت امام حسن و امام رضا علیهما السلام، به اطلاع شما همراهان گرامی می‌رسانیم: ​به همین مناسبت، کلیه فعالیت‌های کانال و خدمات پشتیبانی ادمین‌ها تا پنجشنبه شب متوقف خواهد بود. ​از صبر و شکیبایی شما سپاسگزاریم. التماس دعا.

92😡17🤨12🤯2😢2👏1🤔1

Signed پویا پیرملکی

11 Aug 2026, 19:35 UTCviews —

کاربردهای هوش مصنوعی دکتر پیرملکی pinned «"طرح نذر اول ماه قمری" (ویژه اول هر ماه قمری-دفع بلا و گسترش سفره نیازمندان) 🌿سلام و درود بر شما همراهان گرامی آکادمی با حلول ماه جدید قمری ربیع الاول، سنت حسنه و مبارک «قربانی اول ماه» را که از قوی‌ترین توصیه‌ها برای دفع بلا، سلامتی خانواده و برکت در کسب‌وکار…»

11 Aug 2026, 19:16 UTC≈2,320 views51 reactionsread 13 August 2026

"طرح نذر اول ماه قمری" (ویژه اول هر ماه قمری-دفع بلا و گسترش سفره نیازمندان) 🌿سلام و درود بر شما همراهان گرامی آکادمی با حلول ماه جدید قمری ربیع الاول، سنت حسنه و مبارک «قربانی اول ماه» را که از قوی‌ترین توصیه‌ها برای دفع بلا، سلامتی خانواده و برکت در کسب‌وکار است، آغاز می‌کنیم. بسیاری از خانواده‌های آبرومند و نیازمند واقعی (که از پیش به‌صورت دقیق توسط مجموعه شناسایی شده‌اند)، ماه‌هاست که امکان تهیه گوشت گرم را نداش

41😡8😐2

Signed M K

11 Aug 2026, 19:15 UTC≈2,020 views0 reactionsread 13 August 2026
Photo

Photo, posted without a caption

Signed M K

11 Aug 2026, 16:06 UTC≈2,220 views2 reactionsread 13 August 2026
Photo

رونق هوش مصنوعی پیش‌بینی رشد اقتصادی سنگاپور را افزایش داد اثر AI دیگر فقط در افزایش بهره‌وری شرکت‌ها دیده نمی‌شود؛ سرمایه‌گذاری در زنجیره هوش مصنوعی اکنون بر شاخص‌های اقتصادی کشورها نیز اثر مستقیم می‌گذارد. اپن ای آی تجربه ساخت یک واحد مالی «AI-Native» را منتشر کرد پیام اصلی این است که سازمان‌ها نباید صرفاً ابزار AI خریداری کنند؛ بلکه باید یک گردش‌کار واقعی را از ابتدا حول آن بازطراحی و نتیجه را با شاخص‌های مشخص

😡2

Signed F.khademi

11 Aug 2026, 05:29 UTC≈2,120 views6 reactionsread 13 August 2026
Photo

@AI_in_Practice 🚀 دسترسی به ابزارهای حرفه‌ای هوش مصنوعی؛ سرعت‌بخش پژوهش و کسب‌وکار شما اگر برای نوشتن مقاله، تحلیل منابع، آماده‌سازی ارائه، تولید محتوا، برنامه‌ریزی کسب‌وکار یا تصمیم‌گیری‌های مدیریتی از هوش مصنوعی استفاده می‌کنید، محدودیت نسخه‌های رایگان می‌تواند سرعت شما را به‌شدت کاهش دهد. حالا می‌توانید متناسب با نیاز و بودجه خود، به ابزارهای حرفه‌ای هوش مصنوعی دسترسی داشته باشید: 💎 اکانت اختصاصی Gemini Pro (ا

4😡2

Signed F.khademi

10 Aug 2026, 14:49 UTC≈2,300 views6 reactionsread 13 August 2026

ChatGPT Search چگونه از "سرچِ چت‌جی‌پی‌تی" پاسخهای خلاق‌تر بگیریم؟👇 https://www.instagram.com/pirmalekiai/reel/Db3Onocs5Zu/ 🌺🌺🌺

4😡2

Signed پویا پیرملکی

10 Aug 2026, 06:29 UTC≈2,500 views11 reactionsread 13 August 2026

@AI_in_Practice ​🎥 آرشیو تخصصی آموزش‌ها | نقشه راه سیستم‌سازی با هوش مصنوعی 🚀 ​یادگیری پراکنده و تماشای ترفندهای کوتاه، برای اجرای پروژه‌های پیچیده پژوهشی و سازمانی پاسخگو نیست. برای تسلط واقعی بر ابزارهای هوش مصنوعی و جلوگیری از خطاهای علمی، به یک آموزش گام‌به‌گام و ساختاریافته نیاز دارید. ​به همین منظور، کلیدی‌ترین آموزش‌های کانال را در یوتیوب برای شما طبقه‌بندی کرده‌ایم: ​👇 پیشنهاد می‌کنیم این مسیر آموزشی را حت

🔥53👏2😡1

Signed F.khademi

9 Aug 2026, 15:56 UTC≈2,410 views2 reactionsread 13 August 2026

پشت‌صحنه ChatGPT؛ چت‌جی‌پی‌تی چگونه یاد می‌گیرد، و پاسخ می‌سازد؟👇 https://www.instagram.com/reel/Db0dUFQB2VA/?igsh=MWtucDY5d3AwaXkzMg==

1😡1

Signed پویا پیرملکی

9 Aug 2026, 12:00 UTC≈2,580 views13 reactionsread 13 August 2026
Photo

@AI_in_Practice ⚙️ چگونه ده‌ها مقاله و گزارش را در کمتر از ۱۰ دقیقه به «ماتریس مقایسه‌ای» تبدیل کنیم؟ 🚫بزرگترین اشتباه در مرور ادبیات یا تحقیقات بازار، «مطالعه خطی» اسناد است. پژوهشگران و مدیران حرفه‌ای به جای خواندن تک‌تک فایل‌ها، ابتدا یک «ماتریس استخراج داده» می‌سازند تا مقایسه متدولوژی‌ها و نتایج در یک نگاه ممکن شود. ⏳ امروز به جای ساعت‌ها کپی‌پیست کردن در اکسل، از گردش‌کاری که در تصویر اینفوگرافیک بالا می‌بین

👍65🤬2

Signed F.khademi

Showing the 12 most recent of 36 posts we hold for @AI_in_Practice. 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

@AI_in_Practice 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
13 August 2026
Most recent edit
13 August 2026

Citation-graph rank

Citation-graph rank — 241,190 of 1,340,412entries 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

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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 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.

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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“کاربردهای هوش مصنوعی دکتر پیرملکی” (@AI_in_Practice), 14,433 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/AI_in_Practice.

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.