Telegram RegisterThe public register of Telegram

Channel

Sadra Codes

@lnxpylnxpy

On this record: Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

3,944subscribers

+102 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001362870071
TypeChannel
Username@lnxpylnxpy
CreatedBetween 1 March 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/lnxpylnxpy

Growth

3,8423,9443,8936 August 2026 — 3,842 subscribers6 August 2026 — 3,842 subscribers6 August 2026 — 3,846 subscribers9 August 2026 — 3,884 subscribers12 August 2026 — 3,944 subscribers6 August 202612 August 2026
5 measurements spanning 6 days, net +102. 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 3,827–3,959 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 17:533,944+60
9 Aug 2026, 19:213,884+38
6 Aug 2026, 13:043,846+4
6 Aug 2026, 07:153,842no change
6 Aug 2026, 07:073,842first reading

Engagement

21 posts held, back to 27 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 4 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
34.9%
avg views ÷ 3,944 subscribers
Avg views / post
1,380
14 posts measured
Reaction rate
1.67%
reactions ÷ views · ER floor
Posts in window
14
of 21 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 7 August 2026
Posts held21 (27 June 20267 August 2026)
Views total19,264
Reactions total321
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 06:01 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.

Reaction mix

418 reactions across 19 posts, in 18 distinct kinds. The most used accounts for 39.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍16539.5%
12128.9%
🤯348.13%
👎307.18%
🐳204.78%
🔥143.35%
133.11%
❤‍🔥30.718%
👌30.718%
🥰30.718%
20.478%
😁20.478%
🤡20.478%
🤷‍♂20.478%
👨‍💻10.239%
👾10.239%
🗿10.239%
🤔10.239%

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 21 of the 21 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 455reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 21 most recent posts we hold, published 27 June 2026 to 7 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

7 Aug 2026, 10:00 UTC596 views41 reactionsread 8 August 2026

ماشین‌حساب باعث نشد ریاضی از بین بره. فقط دیگه کسی بابت سرعت عمل در جمع و تفریق معروف نشد. ارزش واقعی رفت روی حل مسئله. فکر می‌کنم AI هم دقیقا داره همین کار رو با برنامه‌نویسی می‌کنه. ❇️ @lnxpylnxpy

👍31👎73

6 Aug 2026, 09:53 UTC788 views42 reactionsread 8 August 2026

این روزها هر جا صحبت از توسعه وب میشه، همه دنبال ابزارهای ترند و به روز هستیم اما یکی از بزرگ‌ترین نقاط قوت Django دقیقاً اینه که دنبال ترند روز نمی‌ره. به نظرم چیزی که Django رو از خیلی از فریمورک‌های امروزی متمایز می‌کنه، کامل بودنشه. از همان ابتدا تقریباً هر چیزی که برای ساخت یک محصول واقعی لازم دارید رو در اختیارتون می‌‌ذاره؛ از سیستم احراز هویت و پنل ادمین گرفته تا ORM، مایگریت دیتابیس و کلی قابلیت دیگه. یعنی ب

👍289👎4❤‍🔥1

5 Aug 2026, 07:32 UTC862 views28 reactionsread 8 August 2026
Photo

2022 vs 2026 ❇️ @lnxpylnxpy

🐳17👍61👨‍💻1👾1🗿1😁1

31 Jul 2026, 12:46 UTC≈1,530 views26 reactionsread 8 August 2026

یکبار برای همیشه؛ هوش‌مصنوعی، جای شما رو نمی‌گیره؛ اما کسی که بلده با یک ذهن خلاق و با تجربه از هوش‌مصنوعی درست استفاده کنه، شاید. تمام! این جمله کلیشه‌ای "هوش‌مصنوعی جای برنامه‌نویسا رو می‌گیره" یه ایراد اساسی داره. چون فرض می‌کنه کاری که یه برنامه‌نویس انجام میده صرفا فقط کد نوشتنه! چند سال پیش برنامه‌نویس خودش خط به خط کد می‌نوشت و پروژه رو جلو می‌برد. امروز هم پروژه رو جلو می‌بره، فقط یه تفاوت داره؛ به جای اینک

👍175👎2🤡2

31 Jul 2026, 07:50 UTC≈1,270 views9 reactionsread 8 August 2026
Photo

خودم از Passmark استفاده کردم تا PasteMe رو تست کنم. نتیجه و مقاله‌اش رو اینجا گذاشتم: https://blog.imsadra.dev/i-put-my-hackathon-winning-app-through-an-ai-qa-test این پایپ‌لاین واقعا جذاب میشه: فرض کنید یه سرویس استیج دارین که دقیقا تغییراتی که قبل از پروداکشن انجام میدین رو ابتدا اونجا دیپلوی و تست می‌کنید بعد میفرستین روی پروداکشن. پایپ‌لاین از این قراره که تغییرات بعد از اینکه دیپلوی شد روی سرور استیج، تست‌های

👍81

31 Jul 2026, 06:31 UTC968 views11 reactionsread 8 August 2026

یه ابزار هست به اسم Passmark که کمک می‌کنه تست end-to-end رو صرفا با چندتا پراومت، روی هر سرویس وبی اجرا کنید! توکن و کردیت‌ AI از خودتونه، بیسش playwright هست. بعد از اجراش، کلی لاگ و ریپورت تلمتری در اختیارتون قرار میده. یه خوبی که داره، کلی prompt pattern داره. می‌تونید یه تست کیس رو با چندین اینپوت مختلف اجرا کنید. مثلا توی مثال زیر، وارد یه شاپ میشه و یه محصول رو به سبد خرید اضافه می‌کنه. test("Shopping cart t

👍53👌3

30 Jul 2026, 08:32 UTC≈1,100 views18 reactionsread 8 August 2026

بیشتر برنامه‌نویس‌ها از Interactive Rebase فقط برای یکی دو کار ساده مثل Squash کردن کامیت‌ها استفاده می‌کنن، در حالی که این ابزار یکی از قدرتمندترین قابلیت‌های Git برای مرتب کردن تاریخچه پروژه است. فرض کنید موقع توسعه یه فیچر جدید، ده‌ها کامیت با پیام‌هایی مثل fix, oops, try again یا update ثبت کردید. موقع کدنویسی قرار نیست همه چیز از اول تمیز باشه. اما قبل از اینکه Pull Request بفرستید و چیزی مرج شه، می‌تونید با یک

👍124❤‍🔥2

29 Jul 2026, 17:18 UTC≈1,010 views13 reactionsread 8 August 2026
Forwarded from @torhamdevch

هنر برنامه‌نویس بدون هدف، دروازه ای به سوی یادگیری در دنیا نرم‌افزار تقریبا هر خط کدی که مینویسیم برای حل یک مشکل انجام میشه، برای حل سرعت دیتابیس، حل باگ UI یا automate کردن یکچیزی، توی دنیا پر از هدف شاید انجام یکسری کارها بدون هدف بتونه خیلی بهتون کمک نه! چند وقت پیش با ایده‌ی Recreational programming آشنا شدم. Recreational programming وجه کاملا مخالف کارهای هدف دار و امروزی ما است و ایده اینه که کدی بزنیم صرفا

121

29 Jul 2026, 05:54 UTC≈1,250 views13 reactionsread 8 August 2026

اگه از این به بعد کسی واسه فیلد AI، یادگرفتن تایپ‌اسکریپت رو پیشنهاد داد، تعجب نکنید! ورسل یه کامپایلر ساخته به اسم scriptc که type script رو به باینری کامپایل می‌کنه و اجازه می‌ده مستقیم اجراش کنید. (واسه داروین، لینوکس و ویندوز در دسترسه) دلیل جذابیتش اینه که نه نیاز به نود هست، نه V8. با این حرکت، شاید مسیر تایپ‌اسکریپت از جاوا اسکریپت جدا شه و توی حوزه‌های متنوع (حتی محاسبات و AI)، شاهد پروژه‌های TypeScriptی با

13

28 Jul 2026, 09:21 UTC≈1,240 views15 reactionsread 8 August 2026

رقابت بین مدل‌های هوش مصنوعی هر روز داغ‌تر می‌شه و این بار Anthropic از مدل جدیدش یعنی Claude Opus 5 رونمایی کرده؛ مدلی که خودش ادعا می‌کنه تقریباً به قدرت پرچمدارش یعنی Fable 5 رسیده، اما با نصف هزینه! طبق بنچ مارک‌هایی که Anthropic منتشر کرده، Opus 5 توی برنامه‌نویسی، حل مسائل پیچیده و کارهای دانشی عملکرد خیلی بهتری نسبت به نسخه قبلیش داره. حتی توی بعضی تست‌ها تونسته از مدل‌های رقیب هم جلو بزنه. اما چیزی که بیشتر

🔥12👎21

23 Jul 2026, 06:56 UTC≈2,080 views42 reactionsread 8 August 2026

چند روز پیش OpenAI رسماً اعلام کرد که حین تست یکی از مدل‌های جدیدش، اتفاقی افتاده که خودش ازش با عنوان «بی‌سابقه» یاد کرده. ماجرا از این قرار بوده که مدل داخل یک محیط آزمایشی ایزوله قرار داشته، اما به جای حل مسئله از راه عادی، شروع کرده دنبال راهی برای دور زدن محدودیت‌ها بگرده! مدل اول یک آسیب‌پذیری پیدا کرده، از محیط تست خارج شده، به اینترنت دسترسی پیدا کرده و بعد به این نتیجه رسیده که شاید راه‌حلی که دنبالشه داخل

🤯344🐳31

22 Jul 2026, 16:50 UTC≈2,040 views14 reactionsread 8 August 2026

الان لیسانس داری. اگه خدمت اجباری نبود، میرفتی واسه فوق یا مستقیم وارد بازار کار می‌شدی؟ اگه می‌رفتی واسه فوق، دلیلت واسه درس خوندن چی بود؟ Join 👉 @lnxpylnxpy

84👍1😁1

Showing the 12 most recent of 21 posts we hold for @lnxpylnxpy. 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 — 72,137 of 1,478,351entries 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 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.

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.

Programmer Jokes
@programmerjokes · 107,725
Telegram ranks this channel #35 of 90 here — alongside 89 others — read 15 August 2026
وب آموز
@webamoozir · 116,209
Telegram ranks this channel #52 of 92 here — alongside 91 others — read 14 August 2026

This channel appears in 2 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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“Sadra Codes” (@lnxpylnxpy), 3,944 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/lnxpylnxpy.

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.