🤖 ایجنت Muse از شرکت متا؛ یه دستیار هوشمند شخصیه که در سپتامبر ۲۰۲۶ معرفی شده و میتونه کارهای روزمره رو از طرف کاربر پیش ببره. شما تجربه استفاهاش رو داشتین؟ نظراتتون رو با هم میخونیم 👇🏼 ➕@sharifGPT ➕@sharifGPT
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Channel
@sharifgpt
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Polls · Citations · Handles named that no longer answer · Cite this entry
56,849subscribers
-1,213 since we began measuring on 5 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001911234058 |
|---|---|
| Type | Channel |
| Username | @sharifgpt |
| Description | برای خرید اکانت اشتراکی GPT یا انجام پرداخت بین المللی به آیدی پشتیبانی پیام دهید @SharifGPTadmin اگه اکانت تون بن بشه یا به مشکل بخوره ما براتون جایگزین می کنیم ما توی SharifGPT هر پرداخت بینالمللی که نیاز داشته باشید رو انجام میدیم |
| Created | 16 October 2023 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 25 September 2026 |
| Measurements held | 37 |
| Confirmed unchanged | 1 time, most recently 25 September 2026 |
| On Telegram | t.me/sharifgpt |
Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 20 August 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 25 Sept 2026, 01:21 | 56,849 | -142 |
| 18 Sept 2026, 20:59 | 56,991 | -40 |
| 16 Sept 2026, 15:57 | 57,031 | -36 |
| 14 Sept 2026, 18:57 | 57,067 | -46 |
| 13 Sept 2026, 05:18 | 57,113 | -53 |
| 11 Sept 2026, 08:36 | 57,166 | -80 |
| 8 Sept 2026, 17:17 | 57,246 | -63 |
| 5 Sept 2026, 08:36 | 57,309 | -65 |
| 3 Sept 2026, 10:45 | 57,374 | -22 |
| 2 Sept 2026, 08:47 | 57,396 | +12 |
| 1 Sept 2026, 10:25 | 57,384 | -21 |
| 31 Aug 2026, 10:58 | 57,405 | -28 |
| 30 Aug 2026, 13:13 | 57,433 | -30 |
| 29 Aug 2026, 15:57 | 57,463 | -25 |
| 28 Aug 2026, 19:27 | 57,488 | -29 |
| 27 Aug 2026, 22:58 | 57,517 | -19 |
| 26 Aug 2026, 20:44 | 57,536 | -30 |
| 25 Aug 2026, 17:16 | 57,566 | -20 |
| 24 Aug 2026, 15:28 | 57,586 | -44 |
| 22 Aug 2026, 21:35 | 57,630 | first reading |
163 posts held, back to 29 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 118 pages of 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 2 October 2026 |
|---|---|
| Posts held | 163 (29 July 2026 – 2 October 2026) |
| Views total | 422,810 |
| Reactions total | 3,492 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Oct 2026, 05:31 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 3 October 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 49 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.
6,684 reactions across 159 posts, in 40 distinct kinds. The most used accounts for 41.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 2,802 | 41.9% | |
| ❤ | 1,682 | 25.2% | |
| 😁 | 527 | 7.88% | |
| 🤯 | 509 | 7.62% | |
| 👻 | 290 | 4.34% | |
| 🔥 | 267 | 3.99% | |
| 🗿 | 110 | 1.65% | |
| 👌 | 65 | 0.972% | |
| 😍 | 46 | 0.688% | |
| 💔 | 44 | 0.658% | |
| 🤩 | 43 | 0.643% | |
| 👀 | 40 | 0.598% | |
| ❤🔥 | 30 | 0.449% | |
| 👾 | 28 | 0.419% | |
| 😢 | 28 | 0.419% | |
| 🤷♂ | 18 | 0.269% | |
| 👏 | 16 | 0.239% | |
| 🤓 | 14 | 0.209% | |
| 🌚 | 13 | 0.194% | |
| 🐳 | 11 | 0.165% | |
| 20 further kinds | 101 | 1.51% |
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 161 of the 163 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 6,744 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 163 most recent posts we hold, published 29 July 2026 to 2 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.
🤖 ایجنت Muse از شرکت متا؛ یه دستیار هوشمند شخصیه که در سپتامبر ۲۰۲۶ معرفی شده و میتونه کارهای روزمره رو از طرف کاربر پیش ببره. شما تجربه استفاهاش رو داشتین؟ نظراتتون رو با هم میخونیم 👇🏼 ➕@sharifGPT ➕@sharifGPT
🤯39❤3👍2🍾1
حرصت دراومده؟ استیکمن رو به مرورگرت بیار و همهچیو به خاک و خون بکش! 🚬 یه برنامهنویس با کمک وایبکدینگ، یه بازی ساخته که توش میتونی با یه آدمک، هر سایتی رو که دلت میخواد رو با آرپیجی نابود کنی! 🤣🔫 کافیه سایت رو باز کنی، اسلحهات رو انتخاب کنی (از شعلهافکن بگیر تا جتپک!) و بعد توی خود مرورگر، سایت رو به فنا بدی! 💥 ایدهاش حسابی وایرال شده؛ ویدیوش تا الان چند میلیون بازدید و لایک گرفته! 🔥 🕹 لینک بازی: destro…
😁26❤5👍2
🪩 و انتظارها به پایان رسید! گوگل با Argon دوباره برگشت 🔥🔥 شب گذشته گوگل Gemini 4 Argon، مدل پیشرفته جدیدش رو معرفی کرد و اعداد و ارقامش واقعاً عجیب غریبه! 🤌🏼 - ۱ میلیون توکن خروجی: یه جهش بزرگ نسبت به سقف ۶۴ هزار توکن. Argon میتونه توی یک اجرا صدها هزار توکن تولید کنه و برای بررسی کدبیسهای عظیم و اجرای ورکفلوهای طولانی، همهچیز رو یکجا جلو ببره. - رکورد جدید در کد نویسی: توی بنچمارک DeepSWE v1.1 به امتیاز ۷۷.…
❤19👍5🔥2🍾1
جمعبندی DevDay اوپنایآی از دید کاربرها 😄 ▪️ ایجنت Dots ← یه چیزی شبیه GrokBot ▫️ چت ChatGPT Space ← شبیه Notion و Claude Tag ▪️ مدل GPT-6.1 Sol ← رقیب Opus 5.5؛ با هوشی نزدیک به Astra و حدود یک پنجم هزینه ▫️ کدکس Codex Cloud ← یه چیزی شبیه محیط Claude Cloud ▪️ دسیژنز Decisions API ← شبیه Jev ▫️ یه پلن جدید ۵۰۰ دلاری با بالاترین محدودیتها + دسترسی به Astra Ultrafast ▪️ الترا Ultrafast Mode ← حدود ۳۰۰ توکن…
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نظریه نامحبوب: کاربرای مختلف هر یک در سطحی از هوش مصنوعی استفاده میکنن اما آشی که میخورن بر مبنای پولی است که پرداختن. در دراز مدت طبقه برخوردار توکن بیشتری میتونن بخرن و بنابراین بهرههای بیشتری از AI میبرن برای بهبود و ارتقای کار و زندگیشون و این شاید باعث شکاف طبقاتی دیجیتال و حتی حقیقی بشه! ➕@sharifGPT ➕@sharifGPTadmin
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🆕 خب اینم خلاصهای از مهمترین اخبار OpenAI DevDay 2026 بر اساس اعــلامــیههای رسمی OpenAI تا این لحظه: ۱. داتس Dots (ایجنتهای always-on) ایجنتهای قدرتمند و مداوم که با GPT-6 Astra کار میکنند. خودشان اهداف را پیگیری میکنند، در پسزمینه کار میکنند، به ۴۰۰۰+ اپلیکیشن متصل میشوند، کامپیوتر ابری اختصاصی دارند و نتایج را برای بررسی شما برمیگردانند. در دسترس برای کاربران Pro، Business Premium و Enterprise (در باز…
❤19🔥3🤩1
😎مسابقه غولها برای رسیدن به AGI! یکی اومده رقابت بر سر AGI رو تبدیل کرده به تریلر فیلم Mad Max که با هوش مصنوعی ساخته شده! - باحالترین قسمت اونجاست که زاکربرگ از متاورس بیدار میشه، سوار لاما میشه و از اون طرف جنسن هوانگ داره برای بقیه GPU تأمین میکنه! 🦙🤣 - ویدیو با Seedance 2.5، مدل ویدیو ساز هوش مصنوعی ByteDance، ساخته شده. واقعا شـاهـکــار. 👏🔥 ➖ خرید انواع اکـانتهای هوش مصنوعی از سایت ما با خیال راحت🩵 💠…
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سونت ۵.۵ کلاود هم اومد، ولی Gemini هنوز سر جاشه 😭😂 بجنب دیگه. خوابت برده؟! 👩🏻🦯 ➕@sharifGPT ➕@sharifGPT
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❗️محققای AI درباره «انفجار هوش» هشدار دادن! - یه گروهی از پژوهشگرای مطرح از OpenAI، Anthropic، Microsoft و Meta هشداردادن که اگه هوش مصنوعی بتونه خودش بخش زیادی از تحقیقات مربوط به AI رو انجام بده، ممکنه یه چرخه عجیب و خیلی سریع شکل بگیره: 🤖 ای آی AI بهتر میشه 🧠 تحقیقات AI رو سریعتر میکنه 💪 یه AI حتی بهتر ساخته میشه 🔄 و این چرخه دوباره تکرار میشه! به گفته اونا، این اتفاق میتونه سالها پیشرفت رو توی چند ماه …
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فردا چه خبره؟ 👀 🔥 اپن OpenAI تیزر جدیدی منتشر کرده و یه وعده بزرگ توش داده برای ایونت فردا: بیش از ۲۰ معرفی و لانچ جدید! حالا O قراره چی باشه؟ ➕@Sharifgpt ➕@Sharifgpt
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خب ذخیره کردن پرامپتهای رندوم از اینور اونور رو متوقف کنید! ✋ -همه چیز یکجا جمع شده؛ یک مرجع کامل با بیش از ۱۰,۰۰۰ پرامپت تخصصی و رایگان برای ChatGPT و Claude که شما رو از نوشتن پرامپتهای طولانی و آزمون و خطا بینیاز میکنه. 🔥 تفکیک شده بر اساس رشته، و کاربردهای آکادمیک و مارکتینگ: 🔗 https://www.meigen.ai/ ↗️ این پست رو بفرست برای دوستات که هنوز کلی وقت میذارن برای پیدا کردن پرامپتای مختلف 💠 معرفی بهترین اب…
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تا حالا شده پروژهای رو به هوش مصنوعی بسپاری و ببینی یا خیلی سرسری ردش کرده، یا برعکس، برای یه کار ساده کلی معطلت کرده؟ 🤔 - در مدل جدید Opus 5.5 شما میتونید میزان «تلاش فکری» یا همون Effort Level مدل رو کنترل کنید. اما هر سطح برای چه کاری مناسبه؟ ⬇️ 🔹 سطح Low (تلاش حداقلی): برای کارهای تکخطی و دمدستی! مثل تغییر اسم متغیرها یا فایلها و اعمال سریع یک پترن تکراری در کد. 🔹 سطح Medium (معمولی و روتین): نقطه شروع اید…
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Showing the 12 most recent of 163 posts we hold for @sharifgpt. 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.
@sharifgpt edited 4 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.
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.
بچهها این ربات و اکستنشنی که بالا دیدین فقط دوتا نمونه از چیزاییه که تیم ما با Codex ساخته👀 🔍پایه هستین از این به بعد یاد بگیریم چطوری با AI همچین چیزای کاربردیای برای خودمون بسازیم؟ یعنی قشنگ از 0 تا 100 باهم بریم جلو ببینیم چخبره💯
Shares as published. No per-option vote count is published by Telegram, so none is shown.
🤖 دوستان شما بیشتر برای چه کاری از هوش مصنوعی کمک میگیرید؟
The shares total 203%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not 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 163 most recent posts we hold, published 29 July 2026 to 2 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 5 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.
@sharifgpt named 3 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
References a handle that is not a live channel — we have no record it ever was one.
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 25 September 2026 — this entry's latest reading, not the date you are reading this.
“SharifGPT” (@sharifgpt), 56,849 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/sharifgpt.
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.