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Channel

یادگیری به سبک حرفه‌ای‌ها

@PooyanLearn

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Telegram's recommendations · Cite this entry

10,299subscribers

-108 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001205426402
TypeChannel
Username@PooyanLearn
Descriptionتکنولوژی، هوش مصنوعی، مهارت‌های شغلی آدرس سایت: PooyanLearn.com پشتیبانی: @PooyanLearnSupport اینستاگرام: Instagram.com/pooyanlearn
CreatedBetween 1 March 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live6 November 2026
Measurements held55
Confirmed unchanged1 time, most recently 6 November 2026
On Telegramt.me/PooyanLearn

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 11 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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.

Growth

10,29910,40810,353.57 August 2026 — 10,407 subscribers7 August 2026 — 10,407 subscribers8 August 2026 — 10,402 subscribers9 August 2026 — 10,399 subscribers10 August 2026 — 10,398 subscribers11 August 2026 — 10,394 subscribers12 August 2026 — 10,392 subscribers14 August 2026 — 10,386 subscribers16 August 2026 — 10,384 subscribers17 August 2026 — 10,383 subscribers18 August 2026 — 10,390 subscribers19 August 2026 — 10,387 subscribers20 August 2026 — 10,388 subscribers21 August 2026 — 10,389 subscribers23 August 2026 — 10,391 subscribers24 August 2026 — 10,392 subscribers25 August 2026 — 10,386 subscribers26 August 2026 — 10,383 subscribers27 August 2026 — 10,379 subscribers28 August 2026 — 10,408 subscribers30 August 2026 — 10,405 subscribers31 August 2026 — 10,404 subscribers1 September 2026 — 10,401 subscribers2 September 2026 — 10,393 subscribers4 September 2026 — 10,389 subscribers6 September 2026 — 10,388 subscribers10 September 2026 — 10,382 subscribers12 September 2026 — 10,377 subscribers14 September 2026 — 10,382 subscribers15 September 2026 — 10,384 subscribers17 September 2026 — 10,381 subscribers30 September 2026 — 10,392 subscribers5 October 2026 — 10,373 subscribers10 October 2026 — 10,360 subscribers13 October 2026 — 10,351 subscribers15 October 2026 — 10,348 subscribers16 October 2026 — 10,346 subscribers17 October 2026 — 10,341 subscribers19 October 2026 — 10,342 subscribers20 October 2026 — 10,344 subscribers21 October 2026 — 10,343 subscribers22 October 2026 — 10,339 subscribers23 October 2026 — 10,332 subscribers25 October 2026 — 10,331 subscribers26 October 2026 — 10,325 subscribers26 October 2026 — 10,322 subscribers27 October 2026 — 10,318 subscribers29 October 2026 — 10,313 subscribers30 October 2026 — 10,310 subscribers31 October 2026 — 10,304 subscribers2 November 2026 — 10,302 subscribers3 November 2026 — 10,303 subscribers4 November 2026 — 10,301 subscribers5 November 2026 — 10,302 subscribers6 November 2026 — 10,299 subscribers7 August 20266 November 2026
55 measurements spanning 91 days, net -108. 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 10,283–10,424 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 55
Measured (UTC)SubscribersChange
6 Nov 2026, 14:4610,299-3
5 Nov 2026, 13:0610,302+1
4 Nov 2026, 09:5110,301-2
3 Nov 2026, 08:5610,303+1
2 Nov 2026, 08:1610,302-2
31 Oct 2026, 13:4810,304-6
30 Oct 2026, 15:4010,310-3
29 Oct 2026, 17:1410,313-5
27 Oct 2026, 20:5510,318-4
26 Oct 2026, 23:2810,322-3
26 Oct 2026, 01:5610,325-6
25 Oct 2026, 00:1510,331-1
23 Oct 2026, 21:0610,332-7
22 Oct 2026, 19:2010,339-4
21 Oct 2026, 13:4610,343-1
20 Oct 2026, 11:3810,344+2
19 Oct 2026, 09:2610,342+1
17 Oct 2026, 08:2810,341-5
16 Oct 2026, 04:5910,346-2
15 Oct 2026, 01:4010,348first reading

Engagement

33 posts held, back to 3 December 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 47 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
9.02%
avg views ÷ 10,299 subscribers
Avg views / post
929
1 post measured
Reaction rate
3.23%
reactions ÷ views · ER floor
Posts in window
1
of 33 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 25 October 2026
Posts held33 (3 December 2025 – 25 October 2026)
Views total929
Reactions total30
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Nov 2026, 09:07 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
105
Videos
20
Links
96

Lifetime counters from Telegram’s own channel header, read 7 November 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

801 reactions across 33 posts, in 12 distinct kinds. The most used accounts for 68.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤55268.9%
👍8510.6%
👏708.74%
🙏455.62%
🔥151.87%
😍111.37%
😢70.874%
👌60.749%
🤩60.749%
😁20.25%
🥰10.125%
🥴10.125%

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 33 of the 33 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 801 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 33 most recent posts we hold, published 3 December 2025 to 25 October 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: 0 of 1 post 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).

25 Oct 2026, 09:29 UTC929 views30 reactionsread 7 November 2026
Forwarded from @bamotamem

ساعت اتوماتیک و آیندهٔ هوش مصنوعی و اتوماسیون حتماً داستان ساعت‌های اتوماتیک و کوارتز رو شنیدین (توی استراتژی به یکی از کیس‌های کلاسیک تبدیل شده). وقتی ساعت‌های کوارتز (که با باتری کار می‌کنن) اومدن، برای همه قطعی بود که ساعت اتوماتیک برای همیشه جمع می‌شه. نماد ساعت اتوماتیک سوییس بود و نماد ساعت‌های کوارتز ژاپن. به‌نظر می‌رسید سوییس داره بازی رو به ژاپن (که اون زمان الههٔ تکنولوژی، روباتیک، و الکترونیکی‌ کردن همه…

👍18❤12

7 Oct 2026, 19:38 UTC≈1,810 views5 reactionsread 7 November 2026
Photo

چطوری با هوش مصنوعی بهتر یاد بگیریم؟ https://youtu.be/ZqEzJ39FAEQ?is=XZdTlO3TWAt82chx

❤4🔥1

1 Oct 2026, 09:53 UTC≈2,350 views11 reactionsread 7 November 2026

فرصت ثبت‌نام دوره‌ها به پایان رسید و خیلی خوشحالیم که قراره در مسیر یادگیری، همراه ما باشید و به جمع یادگیرنده‌هامون اضافه شدید. 🌱 ممنونیم از استقبال و اعتمادتون. 🤍 🔻یک یاداوری برای شرکت‌کنندگان دوره هوش مصنوعی: اگر هنوز فایل‌های تکمیلی دوره رو دریافت نکردید، لطفا به پشتیبانی تلگرام پیام بدید تا براتون ارسال بشه. به امید یادگیری‌های تازه و تجربه‌های خوب در کنار هم. آیدی پشتیبانی: @pooyanlearnsupport

❤11

29 Sept 2026, 11:52 UTC≈2,500 views16 reactionsread 7 November 2026
Photo

اگه برای درس خوندن، یادگیری زبان یا هر موضوع دیگه‌ای جزوه و فایل دارید، این قابلیت ChatGPT خیلی به کارتون میاد. می‌تونید جزوه‌هاتون رو تبدیل به فلش‌کارت کنید و همون‌جا باهاشون تمرین کنید. پست جدید رو ببینید https://www.instagram.com/p/Dd3rsR-IDo7/?stkn=MWZ5dHZ3OWs5Nms0NQ==

❤13👏3

24 Sept 2026, 16:06 UTC≈3,180 views11 reactionsread 7 November 2026
Photo

و اینم پرطرفدارترین دوره‌مون 🤍 به‌خاطر شرایط کشور، نزدیک به یک ساله که قیمت این دوره رو افزایش ندادیم. اما با آپدیت مهر، مبلغ دوره تغییر می‌کنه. این آخرین فرصت ثبت‌نام با تخفیف ویژه روی قیمت فعلیه. 👇 https://pooyanlearn.com/product/artificial-intelligence/ پشتیبانی @pooyanlearnsupport

❤9🙏2

24 Sept 2026, 15:39 UTC≈2,640 views8 reactionsread 7 November 2026
Photo

ثبت‌نام دوره نظم دیجیتال با تخفیف ویژه بعد ۸ ماه فعال شد. بعد از آپدیت مهر، قیمت دوره افزایش پیدا می‌کنه؛ این آخرین ثبت‌نام با تخفیف روی قیمت فعلیه. لینک ثبت‌نام https://pooyanlearn.com/product/digital-discipline

❤5👍1🥴1🙏1

23 Sept 2026, 09:43 UTC≈2,900 views34 reactionsread 7 November 2026
File

مدتیه از قابلیت زمان‌بندی ChatGPT استفاده می‌کنم و برای یک سری کارهام واقعا برام مفید بوده. برای همین گفتم ایده‌هایی که بیشتر به درد یادگیری، تولید محتوا و کارهای روزمره می‌خورن رو جمع کنم تا شما هم استفاده کنین. توی این فایل ۲۰ ایده کاربردی + نمونه پرامپت آماده گذاشتم که می‌تونین مستقیم استفاده یا برای خودتون شخصی‌سازی کنین.

❤24👏4🙏4🔥2

21 Sept 2026, 10:12 UTC≈2,770 views11 reactionsread 7 November 2026
Photo

بعد از چند سال کار با هوش مصنوعی، این‌ها جزو نکاتی هستن که بیشتر از همه کارم رو راحت کردن. شما هم ترفندها و نکاتی که کارتون رو راحت‌تر کرده، توی کامنت‌ها بنویسید. https://www.instagram.com/p/Ddi2_v4Cl29/?stkn=MWEyNmE5dWhmcTRqNQ==

❤9👏2

16 Sept 2026, 06:13 UTC≈2,970 views23 reactionsread 7 November 2026
Photo

تا حالا شده یه چیزی ذهنتون رو درگیر کرده باشه، ولی وقتی شروع کردید به نوشتنش، انگار گره‌ش کم‌کم باز بشه و همه‌چیز براتون واضح‌تر بشه؟ ویدیوی جدیدم در مورد همینه؛ اینکه نوشتن فقط برای ثبت کردن نیست، می‌تونه بخشی از فرایند فکر کردن باشه. بعد با هم توی Obsidian یک فضای ساده برای روزنوشته، ثبت فکرها و ایده‌ها می‌سازیم. 🌱 قالبش رو هم بالا گذاشتم که دانلود کنید. ویدیو رو اینجا می‌تونید ببینید 👇 https://youtu.be/ougaByl9…

❤18🙏3👏2

16 Sept 2026, 06:06 UTC≈2,510 views4 reactionsread 7 November 2026
File

قالب ژورنال‌نویسی در ابسیدین

❤3👏1

8 Sept 2026, 08:47 UTC≈3,490 views24 reactionsread 7 November 2026
Photo

هوش مصنوعی می‌تونه یکی از بهترین معلم‌های شخصی برای یادگیری باشه، اگر ازش بخوایم ما رو وارد فرایند یادگیری کنه. این پست رو حتما ببینید https://www.instagram.com/p/Dc2rbGlChmN/?stkn=dGNnaTh4YndmaA== من خودم معمولا ازش می‌خوام با مثال توضیح بده، ازم سؤال و کوییز بگیره، جوابم رو نقد کنه یا یک مفهوم رو از زاویه‌های مختلف باز کنه. این روش با اصولی مثل بازیابی فعال (Active Recall) و اثر تولید (Generation Effect) هم هم‌راس…

❤22👍2

1 Sept 2026, 17:47 UTC≈3,490 views21 reactionsread 7 November 2026
Photo

دو تا از قابلیت‌های ChatGPT که خودم واقعا زیاد ازشون استفاده می‌کنم رو توی پست جدید گفتم. دومی خیلی مهمه؛ چون یکم مخفیه و ممکنه اصلا تا حالا بهش دقت نکرده باشید، در حالی که بسبار زیاد کاربردیه. خود من رو نجات داد : ) https://www.instagram.com/p/DcwB8dMisIL/?igsi=MXR5cTE0OXFkdDVyeg==

❤14👍7

Showing the 12 most recent of 33 posts we hold for @PooyanLearn. 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 2 posts on @PooyanLearn 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
28 August 2026
Most recent seen missing
29 August 2026
Median time before seen missing
27 days
Seen missing in the last 30 days
0

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.

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 پاورپوینت
@jadoyepowerpoint · 24,602
Telegram ranks this channel #7 of 89 here — alongside 88 others — read 15 September 2026
IELTSFamily | بيان برتر
@ieltsfamily · 21,325
Telegram ranks this channel #25 of 87 here — alongside 86 others — read 23 September 2026
آوانگارد | هوشمندسازی مشاغل (AI)
@arefehmasoudy · 23,173
Telegram ranks this channel #30 of 83 here — alongside 82 others — read 18 September 2026
آموزش یوتیوب و اپارات با فرنوش دهستانی
@youtubeexpertpart1 · 41,738
Telegram ranks this channel #47 of 73 here — alongside 72 others — read 28 August 2026

This channel appears in 4 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 6 November 2026 — this entry's latest reading, not the date you are reading this.

“یادگیری به سبک حرفه‌ای‌ها” (@PooyanLearn), 10,299 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/PooyanLearn.

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.