GLM 5.3 100M برای کاربران جدید 100M توکن GLM3 تا 24 Aug اکانت جدید بسازید و زیکد رو نصب کنید http://zcode.z.ai/
👍13👎4

Channel
@appxa
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry
29,974subscribers
-475 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001460346255 |
|---|---|
| Type | Channel |
| Username | @appxa |
| Description | Free Ai Android iOS Windows Linux Telegram Github https://m.youtube.com/@appxa Ads: Direct برای تبلیغات در کانال به دایرکت چنل پیام بدین |
| 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 | 15 |
| Confirmed unchanged | 1 time, most recently 21 August 2026 |
| On Telegram | t.me/appxa |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 21 Aug 2026, 09:05 | 29,974 | -53 |
| 20 Aug 2026, 11:22 | 30,027 | -41 |
| 19 Aug 2026, 08:57 | 30,068 | -17 |
| 18 Aug 2026, 09:48 | 30,085 | -30 |
| 17 Aug 2026, 13:03 | 30,115 | -34 |
| 16 Aug 2026, 03:58 | 30,149 | -56 |
| 14 Aug 2026, 14:34 | 30,205 | -55 |
| 13 Aug 2026, 07:04 | 30,260 | -30 |
| 12 Aug 2026, 05:53 | 30,290 | -44 |
| 11 Aug 2026, 02:17 | 30,334 | -37 |
| 9 Aug 2026, 23:33 | 30,371 | -32 |
| 8 Aug 2026, 22:21 | 30,403 | -14 |
| 7 Aug 2026, 23:27 | 30,417 | -30 |
| 6 Aug 2026, 21:03 | 30,447 | -2 |
| 6 Aug 2026, 15:03 | 30,449 | first reading |
118 posts held, back to 1 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 42 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.
| Window | Rolling 30 days · latest post in window 22 August 2026 |
|---|---|
| Posts held | 118 (1 August 2026 – 22 August 2026) |
| Views total | 478,670 |
| Reactions total | 4,415 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 22 Aug 2026, 07:55 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 16 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.
4,415 reactions across 118 posts, in 2 distinct kinds. The most used accounts for 90.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 4,002 | 90.6% | |
| 👎 | 413 | 9.35% |
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 118 of the 118 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 4,415reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 118 most recent posts we hold, published 1 August 2026 to 22 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.
GLM 5.3 100M برای کاربران جدید 100M توکن GLM3 تا 24 Aug اکانت جدید بسازید و زیکد رو نصب کنید http://zcode.z.ai/
👍13👎4
Telegram Desktop is preparing a new WEB Proxy. A new proxy type is appearing in the client that uses WebView to transport regular MTProxy traffic through a web-based transport. It works roughly like this: Telegram Desktop routes its MTProxy traffic through a WebView-based HTTPS/WebSocket transport as a multiplexed stream. A separate transport with its own frame format — OPEN, DATA, WINDOW, and CLOSE — has been impl…
👍18
تلگرام در حال آماده سازی یک نوع پروکسی جدید است تا مثل یک وبسایت معمولی عمل کند برای ISP ، این اتصال شبیه ترافیک وب معمولی به نظر می رسد، که مسدود کردن آن دشوار است.
👍66👎3
⚡️جمنای پرو رو با قیمت ویژه از پریم استور تهیه کن( فقط با ۲۹۹ تومان !) 🤖 اشتراک Gemini Pro با فعالسازی روی ایمیل شخصی شما ➕ دسترسی به قابلیتهای پیشرفته جمنای 💡 مناسب تحقیق، تولید محتوا، برنامهنویسی و استفاده روزمره 📊 امکانات حرفهای هوش مصنوعی گوگل ✨ پلنهای موجود: ۱ - ۴ - ۱۲ ماهه 🔥 ضمانت کامل ⭐️ تحویل سریع ⚙️ بدون نیاز به دریافت اطلاعات حساب کد ویژه تخفیف 10 درصدی روی همه محصولات به مدت محدود: PREMST10 🛒 م…
👎34👍6
یک ربات رکورد اوسین بولت را شکست شرکت Unitree به حداکثر سرعت 12.66 متر بر ثانیه رسید، در حالی که بهترین رکورد اوسین بولت 12.42 متر بر ثانیه است. فقط ترمز نداره 😁
👍55👎4
اگر نیاز به درگاه پرداخت خارجی دارین یک جایگزین متنباز برای Stripe، مخصوص ارزهای دیجیتال (استیبلکوین). امکاناتی مانند پرداخت، اشتراکها و واریز وجه به فروشندگان را ارائه میدهد. دارای API سازگار با Stripe. یک سیستم پرداخت اختصاصی برای شما، بدون هیچ هزینهای. https://zoneless.com/ البته اکثرا از nowpayments.io استفاده می کنند
👍19
یکماه استفاده رایگان از مدل های تصویر ویدیو صدا https://zarklab.ai روی subscription بزنید و طرح pro که نوشته یک ماه free رو انتخاب کنید کارت کامنت اول ❌ طرح یکماه رایگانش رو برداشت
👍12👎1
مقایسه Ox Alpha با بقیه مدل ها
👍20👎3
ChatGPT Teens ؛ChatGPT برای تینیجرها تقلب ممنوع ⛔️ شرکت OpenAI یک نسخه ویژه از ChatGPT را برای نوجوانان 13 تا 17 سال راهاندازی کرده است. مهمترین ویژگی جدید، حالت "مطالعه" (Study Mode) است: اگر درخواست کاربر شبیه به تلاشی برای دریافت یک پاسخ آماده برای تکالیف درسی باشد، سرویس به جای ارائه پاسخ مستقیم، پیشنهاد میکند که مسئله را به صورت گام به گام بررسی کنید. سن کاربر بر اساس پروفایل یا رفتار حساب کاربری تعیین میش…
👍27👎11
Ox Alpha یه مدل جدید داخل openrouter منتشر شده میگن چینیه و مال z.ai هست توی OpenRouter با کانتکست ۱ میلیون توکن در دسترسه - ورودی: متن + تصویر + ویدیو - تمرکز روی کدنویسی Agent محور - کاملاً رایگانه و پراوایدرش دادهها رو برای آموزش نگه نمیداره - توی OpenCode یه هفته رایگانه، بدون ذخیره داده و تقریباً بدون محدودیت احتمالاً: یا مدل بعدی Z.ai بعد از GLM-5.3 (چندوجهی) یا خود GLM-5.3 با قابلیت vision توی تست های اولیه…
👍13
شرکت DeepSeek مدل چندوجهی V4-Flash-Vision-Exp را عرضه کرد. این مدل تصاویر را پردازش میکند و در عین حال، قابلیتهای متنی مدل V4 Flash را نیز حفظ کرده است. در تستهای معیار (benchmark)، این مدل به عملکرد Opus 4.8 نزدیک شده است. این مدل آزمایشی در حال حاضر از طریق API قابل دسترسی است.
👍11
تیم Ornith نسل جدیدی از مدلهای هوش مصنوعی متنباز را برای برنامهنویسی، استدلال و کارکرد مستقل با ابزارها منتشر کرده است. مدل Qwen 3.6-35B را میتوان روی گوشی اجرا کرد. امروز، خانواده Ornith-1.5 عرضه شد، و مدلی با 9 میلیارد پارامتر، در وظایف کدنویسی و وظایف مربوط به هوش مصنوعی، عملکردی بهتر از مدلهای بسیار بزرگتر از خود دارد. مشخصات آن عبارتند از: * چندوجهی (Multimodal) متن تصویر ویدیو * حداکثر طول متن (Con…
👍12
Showing the 12 most recent of 118 posts we hold for @appxa. 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.
@appxa edited 5 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
Citation-graph rank — 204,972 of 1,583,249entries 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 12 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.
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 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.
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.
“APPXA free” (@appxa), 29,974 subscribers as measured 21 August 2026. Telegram Register, tgregister.com/channel/appxa.
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.