Channel
@Linuxor
On this record: Growth · Engagement · What this channel posts · Stars · Posts · Polls · Citations · Telegram's recommendations · Cite this entry
29,707subscribers
+862 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001483362835 |
|---|---|
| Type | Channel |
| Username | @Linuxor |
| Description | اخبار لحظه ای تکنولوژی و معرفی ابزار های کامپیوتری و برنامه نویسی! ارتباطات و تبلیغات : @LinuxorContact |
| Created | Between 1 April 2019 and 30 September 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 21 August 2026 |
| Measurements held | 16 |
| Confirmed unchanged | 1 time, most recently 21 August 2026 |
| On Telegram | t.me/Linuxor |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 21 Aug 2026, 19:05 | 29,707 | +20 |
| 20 Aug 2026, 17:17 | 29,687 | +27 |
| 19 Aug 2026, 17:35 | 29,660 | +43 |
| 18 Aug 2026, 20:55 | 29,617 | +41 |
| 17 Aug 2026, 22:05 | 29,576 | +52 |
| 16 Aug 2026, 21:08 | 29,524 | +54 |
| 15 Aug 2026, 14:07 | 29,470 | +43 |
| 14 Aug 2026, 01:05 | 29,427 | +44 |
| 12 Aug 2026, 22:36 | 29,383 | +67 |
| 11 Aug 2026, 19:04 | 29,316 | +125 |
| 10 Aug 2026, 17:16 | 29,191 | +220 |
| 9 Aug 2026, 16:04 | 28,971 | +20 |
| 8 Aug 2026, 18:34 | 28,951 | +41 |
| 7 Aug 2026, 20:52 | 28,910 | +52 |
| 6 Aug 2026, 19:21 | 28,858 | +13 |
| 6 Aug 2026, 08:16 | 28,845 | first reading |
217 posts held, back to 5 August 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 38 pagesof Telegram’s post history, 20 posts per page.
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 25 of 217 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 21 August 2026 |
|---|---|
| Posts held | 217 (5 August 2026 – 21 August 2026) |
| Views total | 1,405,440 |
| Reactions total | 0 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 22 Aug 2026, 05:59 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.
Lifetime counters from Telegram’s own channel header, read 22 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Measured directly from 62 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @Linuxor. 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 217 most recent posts we hold for this entry, published 5 August 2026 to 21 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.
هیچ وقت برای پروژه هاتون از همون ابتدا دنبال شریک پول دار و یا سرمایه گذار نگردید چون اگه طرف باهوش باشه دهن شما سرویس میشه اگه اوسکل هم باشه دهن جفتتون سرویس میشه، بهترین زمان برای ورود پول اونجایی هستش که شما واقعا اثبات کرده باشید میتونید پول دربیارید و همچنین گیر اصلی کارتون فنی نباشه و ناچار به ورود پول باشید و دقیقا و اثبات شده بدونید پول دقیقا چه مشکلی رو حل میکنه. یعنی سرمایه باید مثل شتابدهنده عمل کنه…
نسخه 3 پروژه اپنسورس تقسیمات کشوری ایران بر اساس اطلاعات مرکز آمار ایران منتشر شد - بیش از 105 هزار نقطه در کل کشور تا سال 1404 - در سه فرمت sql, csv, json - نرمال شده و اعمال کاراکترهای فارسی (حذف ي و ك و ...) + چیزهای دیگه که با کمک claude ساخته شدن از نسخه 2 که پنج سال پیش عرضه شد، مخزن داشت خاک میخورد تا امروز که با اطلاعات 1404 بهروز شد. لینک مخزن: github.com/Hameds/IranCountryDivisions این هم صفحه claude…
قدیما توی رزومه یه عده مینوشتن توانایی سرچ در گوگل (جدی یه هنری بود هر کسی نداشتش) الان یه عده دیگه که نسل جدیدن توانایی پرامپت نویسی هم توی رزومشون اضافه کردن😁 @Linuxor
از خود هوش مصنوعی نترسید که جاتونو یه وقت بگیره از اون آدمای مشتاقی بترسید که الان دارن با اشتیاق و با سرعت بالا با هوش مصنوعی یاد میگیرن و خیلی راحت میتونن ازتون جلو بزنن دیگه طرف حسابتون ماشین نیست آدمه آدم. @Linuxor
این الکترونیکی به چیزی مثل کلین کد ندارن مثلا کلین برد؟ این چیه درست کردی طاق کسراس؟😂 @Linuxor
لیست جدید و 2026 تمام مدل ها و API های هوش مصنوعی های دارای پلن رایگان برای کار های مختلف، نمیدونستم انقدر رایگان وجود داره: github.com/12britz/awesome-free-models @Linuxor
چین داره تلاش میکنه پول موردنیاز شرکتهای تکنولوژی و مخصوصاً شرکتهای فعال در AI رو بهجای والاستریت، از داخل خود چین تأمین کنه. عرضه اولیهی شرکت رباتیک Unitree یکی از واضحترین نمونههای این سیاست هستش. شرکت Unitree که سازندهی رباتهای انساننما و رباتهای چهارپا هستش، حدود 1 میلیارد دلار از طریق عرضه اولیه در بورس شانگهای جذب کرد قبلاً یک شرکت چینی که میخواست میلیاردها دلار سرمایه جذب کنه، ممکن بود سراغ هنگ…
اینم جدیدا منتشر شده، سوالات واقعی مصاحبه که از افرادی جمعآوری شدن که خودشون واقعاً در سالهای 2025 و 2026 توی مصاحبههای مهندسی DevOps، SRE و Cloud شرکت کردن. بیش از 150 گزارش و تجربه مصاحبه و بیش از80 شرکت مختلف و معروف دنیا. موضوعات شامل Kubernetes، Docker، Terraform، AWS/Azure/GCP، CI/CD مثل Jenkins، GitHub Actions و Azure DevOps، همچنین Ansible، Linux، اسکریپتنویسی و مفاهیم پایه SRE مثل SLI/SLO/SLA، Observabi…
🔥هر چیزی که برای رشد کانال، گروه یا پیجت نیاز داری، اینجاست! ⭐ پریمیوم تلگرام، استارز و گیفت⭐ 📱 خدمات تلگرام (ممبر، ویو، ریاکشن و...) 📱 خدمات اینستاگرام (فالوور، لایک، ویو) 📞 شماره مجازی بیش از ۱۰۰ کشور ✅انجام سفارشات آنی میباشد‼️ 👆برای سفارش وارد ربات بشید: ⏺ @yoozseenfabot
یه دموی جالب CSS که بهصورت خودکار یه رنگ سفید یا مشکی با شفافیت جزئی محاسبه میکنه که روی هر رنگ پسزمینهای، نسبت کنتراست هدف WCAG رو رعایت کنه. بدون نیاز به هیچ JavaScriptی! codepen.io/editor/devongovett/pen/01a01b37-313f-72d7-849a-147f6126ad94 @Linuxor
من حقیقتا با این قضیه مخالفم که به خود هوش مصنوعی میگید پرامت بسازه براتون و همون پرامپت رو میدید به خودش البته این سبک برای کسی که هنوز داره با مدل "سلام و احوال پرسی" میکنه و نمیدونه دقیقا چی میخواد بسازه خیلی کمک کنندس ولی برای کسی که یکم سطح بالاتر کار میکنه اصلا جواب نمیده باید چندین نمونه کد خودش بنویسه و حد مرز هارو تعیین کنه در واقع پرامپتسازی با AI بیشتر برای کشف intent خوبه؛ ولی برای کنترل دقیق behav…
میدونستین Qwen3.8 27B یواشکی یه مدل دیوونهوار خوب برای تشخیص اشیا و مکانیابی فضایی هم هستش ؟ یعنی فقط با یه پرامپت معمولی میتونه Bounding Box، Keypoint و حتی مسیرهای فضایی رو تشخیص بده و خروجی بده. در واقع میتونه از روی تصویر مشخص کنه هر شی کجاست، نقاط مهمش کجان و مسیر یا موقعیت فضایی بین اجزا چطوریه. دموش هم روی Spaces قابل دیدنه: huggingface.co/spaces/prithivMLmods/Qwen3.8-27B-Object-Detection @Linuxor
Showing the 12 most recent of 217 posts we hold for @Linuxor. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
گوگل چرا معروف شد؟ بزرگ ترین مزیت رقابتیش نسبت به بقیه رقبا چه بود؟
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 217 most recent posts we hold, published 5 August 2026 to 21 August 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.
Citation-graph rank — 11,710 of 1,581,209entries 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.
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.
Named by 38 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.
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.
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.
This channel appears in 32 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.
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 21 August 2026 — this entry's latest reading, not the date you are reading this.
“Linuxor ?” (@Linuxor), 29,707 subscribers as measured 21 August 2026. Telegram Register, tgregister.com/channel/Linuxor.
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.