Telegram RegisterThe public register of Telegram

Channel

Learning With M

@learning_with_m

On this record: Growth · Engagement · What this channel posts · Stars · Posts · Citations · Cite this entry

2,211subscribers

+0 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1002113244939
TypeChannel
Username@learning_with_m
Descriptionسلام. من مسعود دانش پور هستم. همسر، پدر، پسر، برادر، انسان و مهندس نرم افزار.👻 اینجا جایی هست که من تلاش می کنم موضوعاتی که برای یک مهندس نرم افزار مهم و لازمه رو بازگو کنم. آکادمی یادگیری با M : https://academy.daneshpour.ir
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live10 August 2026
Measurements held2
Confirmed unchanged2 times, most recently 10 August 2026
On Telegramt.me/learning_with_m

Growth

2,2116 Aug 2026, 18:48 — 2,211 subscribers7 Aug 2026, 09:26 — 2,211 subscribers6 Aug 2026, 18:487 Aug 2026, 09:26
2 measurements taken within a single 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 2,209–2,213 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
7 Aug 2026, 09:262,211no change
6 Aug 2026, 18:482,211first reading

Engagement

20 posts held, back to 17 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 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
71.8%
avg views ÷ 2,211 subscribers
Avg views / post
1,590
20 posts measured
Reaction rate
0%
reactions ÷ views · ER floor
Posts in window
20
of 20 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 1 of 20 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 6 August 2026
Posts held20 (17 July 20266 August 2026)
Views total31,736
Reactions total0
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 16:50 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
90
Videos
43
Links
112

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

Video runtime
2m 30s
Average length
1m 15s

Measured directly from 2 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.

Telegram Stars

Stars received
2
across the posts below
Posts paid on
1
of 20 we hold a reading for · 5%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @learning_with_m. 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 20 most recent posts we hold for this entry, published 17 July 2026 to 6 August 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

6 Aug 2026, 14:59 UTC567 viewsread 7 August 2026

یه نقل قول خفن برای آخر هفته: اگر چیز های بد دنبالت می کنند، بهترین کاری که می تونی بکنی اینه که برگردی و تو دنبالشون کنی ! - جردن پیتر سون (روانشناس معروف کانادایی) عاشق این مرد و طرز فکراشم. #تفکر

4 Aug 2026, 09:44 UTC535 viewsread 7 August 2026
Forwarded from @GeniusesGroup0

🧠 اهمیت درک عمیق از مفهوم کلمه عامل (Agent) برای حل مشکلات کار کردن با #هوشواره ها (AI) 🔬این روزها تقریباً همه دربارهٔ AI Agentها صحبت می‌کنند؛ ابزارهای جدید معرفی می‌شوند، دوره‌های آموزشی برگزار می‌شود و هر روز اصطلاحات تازه‌ای وارد اکوسیستم می‌شوند. اما احساس می‌کنم قبل از اینکه بخواهیم یاد بگیریم چگونه با AI Agentها کار کنیم، لازم است یک قدم به عقب برگردیم. شاید مسئله اصلاً هوشواره نباشد. شاید مسئله این باشد که ما

4 Aug 2026, 08:24 UTC579 viewsread 7 August 2026
Forwarded from @tondtech

مسئله ای که خیلی از بچه های با سواد ما دچارشن اینه : تمرکز زیاد روی یادگرفتن و‌خوندن و. جمع کردن دانش در نیاوردن یک ریال و نگرفتن حتی یه شغل معمولی دانشی که نتونیم به پول تبدیلش کنیم خوبه ها ، ولی زندگی مون رو سخت میکنه 🤷‍♂️

4 Aug 2026, 05:36 UTC800 viewsread 7 August 2026

جمله برای تفکر در تعطیلات: Identity is not dicovered, It's constructed. Every decision you make, is a vote for the person you are becomming. #تفکر

2 Aug 2026, 18:47 UTC785 viewsread 7 August 2026
Forwarded from @techafternoon

Posted without readable text

2 Aug 2026, 09:21 UTC996 viewsread 7 August 2026

وقتی افرادی مثل بانو Laurie Wired را دنبال میکنی واقعا لذت میبری میبینی چقدر موضوعات را قشنگ به هم مرتبط میشه کرد. و چقدر محتوا همین الان در دانش انسانی بوجود اومده که ما ازش بی اطلاع هستیم، حتی در کاری که خیلی ازش در طول روز استفاده میکنیم! اگر به موضوعات عمیق مخصوصا در خصوص نظریه زبان، سیستم عامل، مهندسی معکوس (reverse engineering) و هوشواره‌ها (AI) در عمق، علاقه دارید این ویدئو را تماشا کنید پ.ن: -- واقعا ایول دا

31 Jul 2026, 08:39 UTC984 viewsread 7 August 2026
Forwarded from @techafternoon

🌟 انواع حملات پرامپت اینجکشن به زبان ساده و با مثال همون‌طور که شیوه توسعه نرم‌افزار و نحوه تعامل کاربر با نرم‌افزار، بعد از فراگیر شدن مدل‌های زبانی، تغییر کرده، نحوه تهاجم و حملات نرم‌افزاری هم تغییر کرده. یکی از موضوعاتی که باید بهش توجه مضاعفی کنیم، حملات Prompt Injection است که انواعش رو به زبان ساده و با مثال توضیح می‌دم. به زبون ساده، Prompt Injection یعنی مهاجم تلاش کنه با واردکردن دستوراتی در ورودی، رفتار

30 Jul 2026, 16:03 UTC≈1,310 viewsread 7 August 2026

حدود 100 تا سوال پرسیده شده و عمدش در مورد AI هست. حقیقتا انتظار مشارکت بیشتری داشتم. دو حالت به نظرم بیشتر نیست : 1. آدم ها انگیزه کار کردن ندارن که سوال ندارن. 2. آدم ها اصلا فکر نمی کنن که چطوری بهتر می تونن باشن، پس براشون سوال پیش نمیاد ! خیلی امیدوارم اولی باشه.

24 Jul 2026, 19:23 UTC≈4,810 viewsread 7 August 2026

سلام، چند تا دلیل هست برای خوشحالیم که یکیش گذر از ۲۱۰۰ نفر دوست و همکاره که اینجا دور هم جمع شدیم. برای همین یک سری ویدیو جدید توی کانال قراره شروع کنم. این شما و این : Learn it from a pro ! حالا این سری چیه؟ از قدیم گفتن : آزموده را آزمودن خطاست. حتمی شده که بخواید یه کاری رو انجام بدید و ندونید بهترین روشش چیه یا چطوری باید انجام بشه که بهینه باشه؟ گاهی مهم میشه که چطوری یه حرفه‌ای اونو انجام میده. کلی می‌

24 Jul 2026, 18:50 UTC≈1,560 viewsread 7 August 2026
Photo

یکی از بدی های استفاده زیاد از #AI ، تو تولید صفحات متعدد از سند هست که به خاطر زیاد بودنش اونی که تولیدش کرده حوصلش نمی کشه بخونش و اونی که باید از روش محصول درست کنه گیج میشه و اونم حوصلش نمی کشه بخونش. اینحا همونجایی هست که کیفیت نابود میشه و چیزی که قرار بود بهبود کیفیت بده میشه بلای جون کیفیت. بیایم نکنیم این کارو. واقعا اعصاب خورد کنه. قشنگ انگار یکی از زیر کارش در رفته. وقتی یه کاری رو باید توی 7 روز انجام بدی

24 Jul 2026, 17:54 UTC≈1,020 viewsread 7 August 2026
Forwarded from @techafternoon

Posted without readable text

Showing the 12 most recent of 20 posts we hold for @learning_with_m. 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.

Citation-graph rank

Citation-graph rank — 69,628 of 1,160,990entries 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

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 2 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.

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.

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

“Learning With M” (@learning_with_m), 2,211 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/learning_with_m.

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.