دوره هرمس ایجنت اپدیت شد و ۷ قسمت جدید بهش اضافه شد دانلود ویدیو کارگاه ۹۰ دقیقه ای هرمس👇 webmaster-mentor.com/v
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Channel
@claudeschool
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
9,822subscribers
+482 since we began measuring on 15 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1003797003331 |
|---|---|
| Type | Channel |
| Username | @claudeschool |
| Description | آموزش روزانه رایگان هوش مصنوعی کلاد ترفندها ، نکات و تکنیک های حرفه ای گروه آموزشی وبمسترمنتور Webmaster-mentor.com |
| Created | Between 1 February 2026 and 31 July 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 15 August 2026 |
| Last confirmed live | 28 August 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 28 August 2026 |
| On Telegram | t.me/claudeschool |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 28 Aug 2026, 09:54 | 9,822 | -6 |
| 25 Aug 2026, 05:39 | 9,828 | +49 |
| 22 Aug 2026, 13:54 | 9,779 | +271 |
| 19 Aug 2026, 07:56 | 9,508 | +91 |
| 16 Aug 2026, 16:43 | 9,417 | +77 |
| 15 Aug 2026, 09:45 | 9,340 | first reading |
59 posts held, back to 12 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 19 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 28 August 2026 |
|---|---|
| Posts held | 59 (12 August 2026 – 28 August 2026) |
| Views total | 90,992 |
| Reactions total | 1,040 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 29 Aug 2026, 05:02 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 29 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
1,040 reactions across 57 posts, in 14 distinct kinds. The most used accounts for 63.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 658 | 63.3% | |
| 👍 | 161 | 15.5% | |
| 🔥 | 153 | 14.7% | |
| 👎 | 28 | 2.69% | |
| 👏 | 12 | 1.15% | |
| 🤣 | 11 | 1.06% | |
| ❤🔥 | 5 | 0.481% | |
| 💯 | 5 | 0.481% | |
| 🖕 | 2 | 0.192% | |
| 🎉 | 1 | 0.096% | |
| 😁 | 1 | 0.096% | |
| 🙏 | 1 | 0.096% | |
| 🤷♂ | 1 | 0.096% | |
| 🥰 | 1 | 0.096% |
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 57 of the 59 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 1,040reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 59 most recent posts we hold, published 12 August 2026 to 28 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.
دوره هرمس ایجنت اپدیت شد و ۷ قسمت جدید بهش اضافه شد دانلود ویدیو کارگاه ۹۰ دقیقه ای هرمس👇 webmaster-mentor.com/v
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🔥 پایگاه دانش شخصی — تجربیاتت رو ذخیره کن دیگه گم نشن هر پروژه یادگیری داره. اگه ثبت نکنی، دوباره تکرارش میکنی. Claude organizer میشه. قدم اول: ساخت knowledge base یک folder بساز با structure: - projects/ (تجربه هر پروژه) - techniques/ (ترفندهای کاربردی) - mistakes/ (اشتباهات و درسها) - templates/ (قالبهای reusable) قدم دوم: auto-tagging با Claude ``` این تجربه پروژه X هست: [summary] Tag بزن بر اساس: skill, tool…
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🔥 امروز قراره این ۳ موضوع رو با هم یاد بگیریم 👇 ۱️⃣ پایگاه دانش شخصی — تجربیاتت رو ذخیره کن دیگه گم نشن ۲️⃣ اتوماسیون social media — تقویم محتوایی خودکار ۳️⃣ مدیریت parallel projects — چند پروژه همزمان، بدون سردرگمی 👉 اگه آمادهای، ریاکشن بده: ❤️ موضوع ۱ 👍 موضوع ۲ 🔥 موضوع ۳ @claudeschool | مدرسه کلاد 💎
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🔥 سیستم تحلیل feedback مشتریان — بفهم مشتریات واقعاً چی میخوان مشتریها نظر میدن، ولی توی ۱۰۰ تا نظر، الگوها گم میشن. با Claude یه سیستم ساده میسازی که همه بازخوردها رو دستهبندی و اولویتبندی کنه. قدم اول: جمعآوری همه پیامها، ایمیلها و نظرهای مشتریها رو توی یه فایل جمع کن. هر نظر توی یه خط. قدم دوم: تحلیل الگوها این پرامپت رو بفرست: ``` این نظرات مشتریهاست: [متن] تحلیل کن: - لحن کلی (مثبت/منفی/خنثی) - نق…
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🔥 امروز قراره این ۳ موضوع رو با هم یاد بگیریم 👇 ۱️⃣ تست A/B پرامپتها ۲️⃣ سیستم تحلیل feedback مشتریان ۳️⃣ اتوماسیون research رقبا 👉 اگه آمادهای، ریاکشن بده: ❤️ اگه موضوع ۱ 👍 اگه موضوع ۲ 🔥 اگه موضوع ۳
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این پست از نظر محتوا قویتر از پستهای قبلیه 👌 نقاط قوت ✅ - هوک سوالیِ relatable («چرا زشت و تکراری؟») خیلی خوبه - ساختار مشکل → اشتباه → راهحل تمیزه - ۴ ورودی و ۴ خروجی مشخص و عملی - قول سری روزانه + تیزور کارگاه = انتظارسازی خوب نقاط ضعف ❌ - اصطلاحات انگلیسی (Design Direction و...) بدون توضیح فارسی — بخشی از مخاطب میپره - «۲ سایت مرجع» بدون دلیل؛ بگو چرا مهمه (هرچی مرجع دقیقتر، خروجی شبیهتر) - CTA نداره؛ اینج…
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چرا Claude برای خیلیها سایتهای زشت و تکراری میسازه؟ 😐 چون مستقیم بهش میگن: «یه سایت حرفهای برای من بساز» اشتباه همینجاست. قبلش این ۴ تا رو بهش بده: نوع کسبوکار مخاطب هدف ۲ سایت مرجع سبک بصری موردنظر بعد از Claude بخواه: Design Direction Typography Color Palette Component Structure تفاوت خروجی رو همون اول میبینی. از فردا هر روز یک تکنیک واقعی برای ساخت سایت حرفهای با Claude میذارم. و بهزودی یک کارگا…
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🔥 ۴ ویژگی اصلی هوش مصنوعی: درک محدودیتها هر سیستم هوش مصنوعی حول ۴ ویژگی میچرخد: 📊 Next Token Prediction — پاسخها از کجا میآیند؟ مدل فقط کلمه بعدی را پیشبینی میکند. این یعنی در مسیرهای آشنا عالی است، اما در حوزههای جدید ممکن است «تخیل» کند. 🧠 Knowledge — مدل چه چیزی واقعاً میداند؟ مدل فقط آنچه در دادههای آموزشی بوده را میداند. موضوعات کمکاربرد، اخیر، یا خاص ضعیفترند. 💾 Working Memory — حافظه لحظهای چ…
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عشقای من ری اکشن بزنید زیر پست ها...
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🔥 داشبورد مالی شخصی — کنترل درآمد با Claude و Google Sheets درآمد فریلنسری نوسان داره. با این سیستم، Claude هر هفته وضعیتت رو تحلیل میکنه. قدم اول: اتصال Sheets به Claude یک spreadsheet بساز با columns: date, client, project, amount, category. قدم دوم: پرامپت تحلیل هفتگی ``` این دادههای درآمد هفته گذشتهام: [insert data] تحلیل کن: میانگین روزانه، بیشترین منبع درآمد، تمایل رشد/نزول پیشنهاد بده برای هفته بعد چه کار…
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🔥 امروز قراره این ۳ موضوع رو با هم یاد بگیریم 👇 ۱️⃣ چرا هوش مصنوعی گاهی اوقات چیزهای غلط را با اعتماد به نفس بیان میکند؟ ۲️⃣ ۴ ویژگی اصلی هوش مصنوعی: درک محدودیتها ۳️⃣ تفاوت Generative AI با Classification AI چیست؟ 👉 اگه آمادهای، ریاکشن بده: ❤️ موضوع ۱ 👍 موضوع ۲ 🔥 موضوع ۳ [اگه ریاکشن کمه]: انرژی بدید بتونیم این کانال رو سرپا نگه داریم! 🚀 @claudeschool | مدرسه کلاد 💎
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🔥 چرا هوش مصنوعی گاهی اوقات چیزهای غلط را با اعتماد به نفس بیان میکند؟ هر پاسخ هوش مصنوعی یکتوکنبهیکتوکن ساخته میشود. یعنی مدل فقط پیشبینی میکند که «بعدی چه کلمهای منطقیتر است». این یعنی: ⚙️ چرا گاهی اشتباه میگوید؟ مدل مسیرهای آشنا را خوب بلد است (مثل خلاصهنویسی)، اما وقتی وارد Territoire ناشناخته میشود، ممکن است چیزی بسازد که «منطقی به نظر میرسد» ولی واقعی نیست. مثل نوشتن یک منبعی که وجود ندارد. 🧠 چ…
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Showing the 12 most recent of 59 posts we hold for @claudeschool. 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 — 355,749 of 1,626,935entries 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.
Named by 1 registered channel — 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.
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.
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 28 August 2026 — this entry's latest reading, not the date you are reading this.
“Claude School | مدرسه کلاد” (@claudeschool), 9,822 subscribers as measured 28 August 2026. Telegram Register, tgregister.com/channel/claudeschool.
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.