💢 دانشگاه مدرک میفروشد به قیمت گزاف 🎯 ما #تخصص می فروشیم رایگان‼️

Channel
• AI & Python •
@AIPyth0n
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Polls · Citations · Telegram's recommendations · Cite this entry
22,174subscribers
+45 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 | -1001481338665 |
|---|---|
| Type | Channel |
| Username | @AIPyth0n |
| Created | Between 1 April 2019 and 30 September 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 20 October 2026 |
| Measurements held | 44 |
| Confirmed unchanged | 1 time, most recently 20 October 2026 |
| On Telegram | t.me/AIPyth0n |
Topic
Technology — 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 100% 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 why it has no browse page of its own yet.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 20 Oct 2026, 23:48 | 22,174 | +18 |
| 19 Oct 2026, 21:46 | 22,156 | +13 |
| 18 Oct 2026, 18:27 | 22,143 | -15 |
| 17 Oct 2026, 16:31 | 22,158 | -8 |
| 16 Oct 2026, 14:28 | 22,166 | +3 |
| 14 Oct 2026, 16:08 | 22,163 | -1 |
| 13 Oct 2026, 02:56 | 22,164 | -19 |
| 8 Oct 2026, 20:02 | 22,183 | +129 |
| 4 Oct 2026, 10:20 | 22,054 | -30 |
| 25 Sept 2026, 21:21 | 22,084 | +16 |
| 19 Sept 2026, 06:20 | 22,068 | -36 |
| 16 Sept 2026, 21:01 | 22,104 | +37 |
| 14 Sept 2026, 21:21 | 22,067 | +25 |
| 13 Sept 2026, 11:21 | 22,042 | -15 |
| 11 Sept 2026, 17:19 | 22,057 | -17 |
| 9 Sept 2026, 06:15 | 22,074 | -12 |
| 5 Sept 2026, 19:58 | 22,086 | -37 |
| 3 Sept 2026, 19:17 | 22,123 | -3 |
| 2 Sept 2026, 14:24 | 22,126 | -3 |
| 1 Sept 2026, 13:25 | 22,129 | first reading |
Engagement
109 posts held, back to 26 July 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 81 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 11.6%
- avg views ÷ 22,174 subscribers
- Avg views / post
- 2,570
- 29 posts measured
- Reaction rate
- 0.381%
- reactions ÷ views · ER floor
- Posts in window
- 29
- of 109 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 28 of 29 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 12 October 2026 |
|---|---|
| Posts held | 109 (26 July 2026 – 12 October 2026) |
| Views total | 74,585 |
| Reactions total | 284 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Oct 2026, 00:49 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
- 1h 30m
- Average length
- 3m 13s
Measured directly from 28 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
980 reactions across 105 posts, in 24 distinct kinds. The most used accounts for 39.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 386 | 39.4% | |
| ❤ | 262 | 26.7% | |
| 😁 | 62 | 6.33% | |
| 🤯 | 58 | 5.92% | |
| 🤣 | 42 | 4.29% | |
| 😡 | 26 | 2.65% | |
| 🔥 | 25 | 2.55% | |
| 👏 | 22 | 2.24% | |
| 💔 | 19 | 1.94% | |
| 👎 | 16 | 1.63% | |
| 😨 | 14 | 1.43% | |
| 😱 | 8 | 0.816% | |
| 🤔 | 7 | 0.714% | |
| 🤡 | 7 | 0.714% | |
| 🫡 | 5 | 0.51% | |
| 🍌 | 4 | 0.408% | |
| ❤🔥 | 3 | 0.306% | |
| 👌 | 3 | 0.306% | |
| 😐 | 3 | 0.306% | |
| 😭 | 3 | 0.306% | |
| 4 further kinds | 5 | 0.51% |
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 105 of the 109 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 980 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 109 most recent posts we hold, published 26 July 2026 to 12 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.
Telegram Stars
- Stars received
- 1
- across the posts below
- Posts paid on
- 1
- of 109 we hold a reading for · 0.9%
- Most on one post
- 1
- single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @AIPyth0n. 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 109 most recent posts we hold for this entry, published 26 July 2026 to 12 October 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
🏛 یک دانشگاه در گوشی شما 📲 🎓کلاس مناسب خود را انتخاب کنید و #رایگان متخصص شوید‼️ 🔻════════🔻 🏫کلاس: برنامهنویسی و طراحی سایت از پایه 📚درس: جاوااسکریپت، HTM، جاوا، اندروید، پایتون، سیشارپ و ... 📍محل برگزاری: @Computer_IT_Engineering ════════ 🏫کلاس: ترفند و آموزش کاربردی 📚درس: اندروید، ویندوز، آیفون و.... 📍محل برگزاری: @CEngineer93 ════════ 🏫کلاس: هوش مصنوعی در موبایل و کامپیوتر 📚درس: پرامپت نویسی، ترفندهای گو…
❤1
خداحافظ LeetCode؟ 👀 گوگل فرایند مصاحبههای استخدامی رو تغییر داده؛ حالا هوش مصنوعی هم بخشی از این فراینده! گوگل مرحلهی جدیدی به نام Code Comprehension (درک کد) اضافه کرده که هدفش سنجش توانایی درک و تحلیل کده. توی این مرحله، کاندیداها با یک کدبیس ۲۰۰ تا ۵۰۰ خطی روبهرو میشن و اجازه دارن از Gemini هم کمک بگیرن. اما قراره چه چیزهایی رو ارزیابی کنن؟ • میتونی کدهای نوشتهشده توسط دیگران رو بخونی و درک کنی؟ • میتونی…
👍5
لینوس توروالدز: برای کارهایی که توشون تخصص ندارم، از هوش مصنوعی کمک میگیرم. لینوس توروالدز، خالق لینوکس، در رویداد Open Source Summit در پراگ، درباره پروژه شخصی خودش برای ساخت یک پدال گیتار صحبت کرد. او رابط کاربری پروژه رو با زبان C نوشته بود، اما ظاهرش قدیمی بود. برای مدرنتر کردنش از هوش مصنوعی کمک گرفت؛ هرچند نتیجه اولیه افتضاح بود! در نهایت، با ارائه کد و توضیحات دقیقتر، تونست به نتیجه بهتری برسه. به گفته …
❤4👎3😁3😐2👍1🤡1
از دست دادن شغل، با کمک هوش مصنوعی به استخدام ختم شد داستان یک مهندس ژئوفیزیک که بعد از تعدیل شدن، تصمیم گرفت بهجای پر کردن تکتک فرمهای استخدامی، این کار رو به هوش مصنوعی بسپره اون با کمک Claude Code یه ابزار خودکار ساخت که تقریباً تمام مراحل کاریابی رو انجام میده. نتیجه جالب بود با ارسال ۶۹ رزومه شخصیسازیشده، تونست ۲۰ مصاحبه کاری بگیره و در نهایت بهعنوان مهندس هوش مصنوعی استخدام بشه 📝 این پروژه که کدهاش در گ…
👏8👍2
بن افلک: من همیشه به کامپیوتر علاقه داشتم. حتی میتونم یهسری اسکریپتهای کجوکوله با پایتون بنویسم. مصاحبهکننده: 😂 بن: خب، اول تصویر رو به یه تِنسور تبدیل میکنیم که مقادیر RGB هر پیکسل، بهعلاوه ابعاد batch و فریمها رو در خودش داره. مصاحبهکننده: wtf؟ بن: بعد همه این دادهها رو از یه شبکه عصبی کانولوشنی (CNN) عبور میدیم تا لبهها رو تشخیص بده و ویژگیهای مهم تصویر رو استخراج کنه. مصاحبهکننده: 😧 بن: چیز خا…
👍17🫡5❤2❤🔥1😁1
💸 اشتراکهای Anthropic حالا بیشتر از ۵ برابر بهصرفهتر از OpenAI هستند! تا چند ماه پیش شرایط برعکس بود؛ اشتراک ۲۰۰ دلاری ChatGPT حجم کارایی ارائه میداد که معادل استفاده از حدود ۱۴ هزار دلار API بود. اما بعد از کاهش محدودیتهای OpenAI، ورق برگشته. طبق بررسی SemiAnalysis، ارزش حجم کاری اشتراکها از نظر هزینه API: 🔹 ۲۰۰ دلار: Claude → ۱۱٬۷۲۶ دلار | ChatGPT → ۲٬۰۸۴ دلار 🔹 ۱۰۰ دلار: Claude → ۵٬۷۲۵ دلار | ChatGPT → ۱…
👍3🤯2
این هم یه نمونه از ویدیوهایی که Opus 5.5 میتونه بسازه، وقتی دست آدمهای خلاق و کاربلد بیوفته. اینم پوشهی فایلها و متریالی که برای ساخت این ویدیو استفاده شده؛ از پرامپتها گرفته تا اسِتهای ساختهشده با Midjourney. #هوش_مصنوعی #AI #ChatGPT #Artificial_Intelligence #Agent #Claude #Meta #Anthropic #Midjourney ┏━━━━━━━━┓ 〓 @AIPyth0n ┗━━━━━━━━┛
👍10❤1
از هوش مصنوعی تا ابرهوش ایلان ماسک گفته شرکت SpaceXAI قراره اسمش رو به SpaceXSI تغییر بده؛ مخفف SpaceX Super Intelligence، یعنی «ابرهوش اسپیسایکس». اول گفت: «دیگه AI کافیه؛ SI بهتره.» بعد هم مستقیماً با تغییر نام شرکت از SpaceXAI به SpaceXSI موافقت کرد. #هوش_مصنوعی #OpenAI #AI #ChatGPT #Artificial_Intelligence #Agent #Claude #Meta #Anthropic #Gemini #Google #Grok #SpaceXAI ┏━━━━━━━━┓ 〓 @AIPyth0n ┗━━━━━━━━┛
👍6🗿2❤1😐1
ترامپ اعلام کرد آمریکا یک نیروی ویژه با عنوان Super Intelligence Force (SIF) تشکیل میدهد؛ نهادی که قرار است تلاشهای دولت فدرال برای حفظ رهبری آمریکا در حوزه ابرهوش مصنوعی (Superintelligence) را هماهنگ کند. ترامپ این تصمیم را پس از «توافق تاریخی کاخ سفید درباره ابرهوش» اعلام کرده؛ توافقی که در آن شرکتهای بزرگ فناوری درباره مسئولیتهایشان در قبال مردم آمریکا به توافق رسیدهاند. به گفته ترامپ، ابرهوش میتواند تأثیر…
👍8
وایبکدینگ با یک مدل هوش مصنوعی چینیِ ارزون :))) #هوش_مصنوعی #AI #ChatGPT #Artificial_Intelligence #Agent #Claude #Meta #Anthropic #DeepSeek ┏━━━━━━━━┓ 〓 @AIPyth0n ┗━━━━━━━━┛
😁15💔1
رقابت برای جذب کاربران هوش مصنوعی دیگه داره جدی میشه. 👀 #هوش_مصنوعی #OpenAI #AI #ChatGPT #Artificial_Intelligence #Agent #Claude #Meta #Anthropic #Gemini #Google ┏━━━━━━━━┓ 〓 @AIPyth0n ┗━━━━━━━━┛
👍7👌1
Showing the 12 most recent of 109 posts we hold for @AIPyth0n. 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 2 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
🟢 Options:
- A60%
- B11%
- C17%
- D12%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
🟢 Options:
- A21%
- B48%
- C22%
- D9%
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 109 most recent posts we hold, published 26 July 2026 to 12 October 2026. 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.
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 73 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
Named by
Channels on the register whose posts name this channel's handle.
@AmoozeshWebsite · 96,7048 postsترفند آموزش تکنولوژی و فناوری
@CEngineer93 · 101,9718 postsComputer & IT Engineering
@Computer_IT_Engineering · 189,3658 postsPython Forever
@PythonForever · 131,7658 postsAndroid Developers
@Android0to100 · 62,2027 postsانگلیسی با رضا آرش نیا
@arashniaenglish1 · 74,9597 postsاستخدام مهندسی
@job_engineering · 50,1827 postsWindows Software
@Narmafzarpc · 54,5457 postsآموزشهای کامپیوتر و موبایل
@Pc_IT_Mob · 91,8077 postsتوییتر دانشجویی
@twitterjoo · 49,6607 postsآموزش برنامه نویسی | Programming
@WorldCode · 76,3277 postsآکادمی زبان کودک و بزرگسال عابدینی
@Abedini_LgAcademy · 48,1476 posts📱android_best
@android_best · 44,6346 postsبرنامه نویسی
@barnamene · 51,2166 postsTACTIC English
@PTEnglishtest1 · 50,7586 postsتوییتر دانشجویی
@Twitterjo · 49,4006 postsWriting & Grammar 👨🏫
@writingandgrammar · 58,0936 postsProgramming <-> برنامه نویسی
@Amozesh_4u · 28,3215 postsBlack Security Team
@Black_Security · 63,9775 postsخانه هنر و گرافیک
@g_v_h · 69,3275 postsمای اوج | مای سورس | تیم برنامه نویسی اوج
@My_oj · 76,8425 postsPARS PUBLIC | پکیج و دوره های ترید
@PARSPUBLIC · 70,7585 postsآموزش آهنگسازی و میکس مستر با اف ال استودیو
@ProdRoom · 43,3255 postsشاترپیک | عکس و وکتورهای با کیفیت و رایگان
@shutterpic · 46,5635 posts
Names
Channels on the register whose handles appear in this channel's posts.
@cando_ac · 9,4202 postsمرکز آموزش کامپیوتر
@AmoozeshWebsite · 96,7041 postProgramming <-> برنامه نویسی
@Amozesh_4u · 28,3211 postAndroid Developers
@Android0to100 · 62,2021 postانگلیسی با رضا آرش نیا
@arashniaenglish1 · 74,9591 postبرنامه نویسی
@barnamene · 51,2161 postBlack Security Team
@Black_Security · 63,9771 postComputer & IT Engineering
@Computer_IT_Engineering · 189,3651 post‹ NetWork & Security ›
@DrSecCom · 37,2631 postEnglish club
@englishclubbb · 39,5531 postهمه چیز در مورد حسابداری
@hesabdarijozveh · 54,8091 postFreelancer
@job_freelancer · 31,6081 postمای سکیور | Mysecure
@mysecure1 · 29,6271 postWindows Software
@Narmafzarpc · 54,5451 postشبکه و امنیت،تکنولوژی،هوش مصنوعی
@Netwo0rk · 53,3991 postآموزشهای کامپیوتر و موبایل
@Pc_IT_Mob · 91,8071 postPython Forever
@PythonForever · 131,7651 postتوییتر دانشجویی
@Twitterjo · 49,4001 postتوییتر دانشجویی
@twitterjoo · 49,6601 post📚University_books
@UNIVERSITY_BOOKSS · 35,5851 postآموزش برنامه نویسی | Programming
@WorldCode · 76,3271 postآموزش طراحی وب
@WorldCode1 · 26,7331 postبرنامه نویسی | ++C
@WorldCode_Cpp · 29,6931 postآموزش کامپیوتر
@WorldCodeLists · 30,4941 post
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.
@ITSecurityComputer · 178,828#1
@Netwo0rk · 53,399#2
@CleverDevs · 11,133#3
@Linuxor · 32,762#4
@LEGENDARYHACKIR · 15,198#5
@PythonForever · 131,765#6
@devtwitter · 32,790#7
@DevYara · 3#8
@Ai_Tv · 26,447#9
@BUilD_APK · 13,982#10
@CodeExplore · 9,262#11
@iweb_developers · 13,017#12
@Black_Security · 63,977#13
@Ai_NewsTv · 27,066#14
@CEngineer93 · 101,971#15
@pyHints · 10,191#16
@Sparta_Power · 13,694#17
@Python4all_pro · 24,018#18
@PyBackEndHub · 8,402#19
@Computer_IT_Engineering · 189,365#20
@max_academy · 69,635#21
@AI_University · 32,079#22
@AI_DeepMind · 15,761#23
@godpack10 · 23,471#24
@Django_HajiHosseini · 10,884#25
@Program_alpha · 6,763#26
@VnLexos · 10,528#27
@Kaliboys · 28,595#28
@SocialCodes · 14,025#29
@mraiir · 1,559#30
@kali_linuxxx · 76,438#31
@DrSecCom · 37,263#32
@datalook_ir · 4,125#33
@HomeAI · 32,871#34
@EngineeringReverse · 21,243#35
@bmaxdesign · 28,634#36
@Hustlerist · 1,493#37
@programmers_street · 30,874#38
@pytens · 9,961#39
@maghalecomputer · 60,439#40
@OpenCV_olc · 9,321#41
@ketabkhaneh_daneshjoyi · 101,545#42
@WorldCode_Cpp · 29,693#43
@CodeJobss · 3,972#44
@MrArtificialintelligence · 20,689#45
@iDefense · 5,513#46
@ai_inf · 5,127#47
@venta_prompt · 6,512#48
@LernFA · 2,863#49
@SalehiGraphic · 2,379#50
@eventai · 10,620#51
@KernelKudos · 1,701#52
@OPEN_DIGI · 41,024#53
@pyfaw3schools · 10,309#54
@Artshan_ir · 20,122#55
@PXGAMEE · 1,683#56
@Star_Sourcee · 26,223#57
@FILE_LINE · 11,288#58
@DeepDevs · 9,253#59
@ketab_daneshjoyi · 26,725#60
@deniz_idea · 2,594#61
@poinair · 27,832#62
@pendareparsi · 15,465#63
@faketic · 23,472#64
@sohrabcontents · 3,773#65
@VipZuck · 8,125#66
Read from Telegram’s recommendation API, most recently 21 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.
@dabireonline · 22,547
Telegram ranks this channel #17 of 60 here — alongside 59 others — read 20 September 2026
@polsazi_abbasi · 20,758
Telegram ranks this channel #20 of 79 here — alongside 78 others — read 29 September 2026
@moneifys · 21,390
Telegram ranks this channel #22 of 60 here — alongside 59 others — read 22 September 2026
@dani_douen · 26,481
Telegram ranks this channel #22 of 74 here — alongside 73 others — read 15 September 2026
@kali_linuxxx · 76,438
Telegram ranks this channel #28 of 60 here — alongside 59 others — read 19 August 2026
@jozveh_daneshjoyi · 32,424
Telegram ranks this channel #33 of 82 here — alongside 81 others — read 4 September 2026
@Sourcepg · 23,940
Telegram ranks this channel #38 of 50 here — alongside 49 others — read 18 September 2026
@VPNv2ray_Fre · 23,575
Telegram ranks this channel #40 of 42 here — alongside 41 others — read 2 October 2026
@StudentLibrary · 24,350
Telegram ranks this channel #41 of 72 here — alongside 71 others — read 16 September 2026
@tekhob · 35,187
Telegram ranks this channel #43 of 76 here — alongside 75 others — read 2 September 2026
@WorldCodeLists · 30,494
Telegram ranks this channel #44 of 75 here — alongside 74 others — read 7 September 2026
@ketab_daneshjoyi · 26,725
Telegram ranks this channel #46 of 72 here — alongside 71 others — read 11 September 2026
@arefehmasoudy · 23,166
Telegram ranks this channel #47 of 83 here — alongside 82 others — read 18 September 2026
@AI_University · 32,079
Telegram ranks this channel #47 of 83 here — alongside 82 others — read 5 September 2026
@PackTrader · 19,141
Telegram ranks this channel #48 of 51 here — alongside 50 others — read 2 October 2026
@edit_bist · 25,602
Telegram ranks this channel #49 of 58 here — alongside 57 others — read 12 September 2026
@WorldCode_Cpp · 29,693
Telegram ranks this channel #49 of 81 here — alongside 80 others — read 7 September 2026
@WorldCode1 · 26,733
Telegram ranks this channel #51 of 72 here — alongside 71 others — read 11 September 2026
@ketab_daneshgahi · 20,925
Telegram ranks this channel #53 of 86 here — alongside 85 others — read 24 September 2026
@Fee_Talaa · 45,192
Telegram ranks this channel #56 of 75 here — alongside 74 others — read 26 August 2026
@uoffice · 27,101
Telegram ranks this channel #58 of 81 here — alongside 80 others — read 11 September 2026
@asrgooyeshpardaz · 100,023
Telegram ranks this channel #59 of 89 here — alongside 88 others — read 24 August 2026
@eng_ravan · 53,952
Telegram ranks this channel #59 of 79 here — alongside 78 others — read 24 August 2026
@ketabkhaneh_daneshjoyi · 101,545
Telegram ranks this channel #61 of 82 here — alongside 81 others — read 15 August 2026
This channel appears in 29 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 20 October 2026 — this entry's latest reading, not the date you are reading this.
“• AI & Python •” (@AIPyth0n), 22,174 subscribers as measured 20 October 2026. Telegram Register, tgregister.com/channel/AIPyth0n.
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.