3 measurements spanning 4 days, net +1. 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 1,982–1,984 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
11 Aug 2026, 14:02
1,984
+2
8 Aug 2026, 06:20
1,982
-1
7 Aug 2026, 16:47
1,983
first reading
Engagement
20 posts held, back to 30 June 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 1 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
17.7%
avg views ÷ 1,984 subscribers
Avg views / post
352
14 posts measured
Reaction rate
0.751%
reactions ÷ views · ER floor
Posts in window
14
of 20 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. It is computed over the 9 of 14 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 7 August 2026
Posts held
20 (30 June 2026 – 7 August 2026)
Views total
4,925
Reactions total
24
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 16:47 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
40 reactions across 14 posts, in 3 distinct kinds. The most used accounts for 87.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
35
87.5%
😁
4
10.0%
👏
1
2.50%
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 14 of the 20 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 40reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 30 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.
هر بار برای مشتری قیمت میفرستی، این پرامپت را استفاده کن👇
اگر فریلنسر، فروشنده یا صاحب کسبوکار باشی، احتمالاً هر روز باید قیمت، شرایط همکاری یا زمان تحویل را برای مشتری توضیح بدهی.
به جای اینکه هر بار از صفر متن بنویسی، فقط این پرامپت را به ChatGPT بده و اطلاعاتت را جایگزین کن.
پرامپت:
Write a professional message for a customer.
Topic: Quotation for [product or service]
Requirements:
- Use a polite and confi…
🔴 چت متنی ChatGPT برای کاربران رایگان نامحدود شد!
⚙️ شرکت OpenAI اعلام کرد از این پس کاربران رایگان ChatGPT میتوانند بدون محدودیت با هوش مصنوعی بهصورت متنی گفتگو کنند. این تغییر بهتدریج برای همه کاربران فعال میشود.
🧠 همزمان، مدل جدید GPT-5.6 Luna جایگزین مدل قبلی برای کاربران رایگان شده و کاربران پولی نیز نسخه بهروزشده GPT-5.6 Sol را دریافت میکنند.
🎯 به گفته OpenAI، مدل جدید در پاسخ به سؤالها اشتباهات کمتر…
در بحث اصطلاحات این روزهای هوش مصنوعی می تونین به این دیکشنری مانند هم نگاه کنین. نسبتا با قرتی بازی درست شده ولی توضیحاتش قابل فهمه و ارتباط مفاهمیم با همدیگه رو هم توش می بینین. به دگمه سرچ گوشه بالا سمت چپ دقت کنین و وقتی روی عبارتی کلیک کردین، به Read Full Entry برای توضیحات دقیقتر در مورد اون مفهوم.
https://www.aicodingdictionary.com
#لینک #معرفی
تا حالا فکر کردی هوش مصنوعی چطور فقط با نگاه کردن، میفهمه داخل یه عکس چیه؟
توی این ویدئو خیلی ساده توضیح میدم Vision Transformer چطور تصویر رو تکهتکه بررسی میکنه و در نهایت میفهمه داخلش چه چیزهایی وجود داره.
https://www.instagram.com/p/DboE61aCLQw/
تا حالا یه عکس یا متن AI دیدی و با خودت گفتی: «کاش پرامپتش رو هم داشتم؟»
لازم نیست دنبالش بگردی؛ خودت بسازش. کافیه خروجی رو به ChatGPT یا Claude بدی و بگی:
این خروجی رو مهندسی معکوس کن و پرامپتی بنویس که بتونه یه نتیجه مشابه تولید کنه. همه جزئیات مثل لحن، سبک، ساختار، نورپردازی، ترکیببندی و... رو هم در نظر بگیر.
مدل پرامپت اصلی رو نمیدونه، ولی با تحلیل خروجی، نزدیکترین نسخه ممکن رو برات میسازه.
این یکی از بهت…
اگه مدام به سقف استفاده جی پی تی یا کلاد میخوری، احتمالاً مشکل از نحوه استفادهته، نه اکانتت.
توی این ویدیو ۳ راهکار ساده برای کمتر شدن مصرف و دیرتر لیمیت شدن رو گفتم.
https://www.instagram.com/p/DblRHXaCMxC/
پرامپت ضد Sycophancy (ضد چاپلوسی بی چون چرای کاربر)
اگر از ChatGPT برای تحقیق، برنامهنویسی، تولید محتوا یا تصمیمهای مهم استفاده میکنید، این پرامپت را در ابتدای چت جدید قرار دهید. هدف آن این است که مدل کمتر به دنبال تأیید حرف شما باشد و بیشتر مانند یک منتقد علمی، استدلالها را بررسی و نقد کند.
From now on, adopt an evidence-first reasoning policy.
Do not optimize for agreement, affirmation, or user satisfaction.…
دوبله رایگان ویدئو های هر زبان به فارسی در کروم
آموزش راهاندازی LivDub در کمتر از ۲ دقیقه:
۱. افزونه LivDub را نصب کنید: ابتدا افزونه LivDub را از فروشگاه افزونههای Chrome نصب کنید.
۲. یک کلید رایگان از Google بگیرید: وارد Google AI Studio شوید و در کمتر از یک دقیقه یک API Key رایگان بسازید.
۳. کلید را داخل افزونه وارد کنید: API Key را در تنظیمات LivDub جایگذاری کنید. این کلید فقط روی دستگاه شما ذخیره میشود و …
خوش آمدید رفقای جدید❤️
سعی میکنم مواردی که نیاز به توضیح یا پرامپت داره رو توی تلگرام قرار بدم.
کانال تلگرام:
https://t.me/Prompt0
پیج اینستا:
https://www.instagram.com/dr_webx/
کانال یوتوب:
https://www.youtube.com/channel/UCHPeejnsEylDk7bZooTN2qQ
میخوای چهرتو عین جی تی ای 3 کنی؟
Transform this portrait into a low-poly 3D character inspired by late-1990s and early-2000s open-world video games.
Features:
- very low polygon count
- angular face
- low-resolution blurry textures
- simple vertex lighting
- PS1 / early PS2 graphics aesthetic
- muted colors
- slightly awkward facial proportions
- nostalgic retro video game look
- rendered like an old game screens…
Signed Mahdi Abbaszadeh
Showing the 12 most recent of 20 posts we hold for @Prompt0. 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.
Forward network
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.
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 11 August 2026 — this
entry's latest reading, not the date you are reading this.
“پرامپت - Prompt” (@Prompt0), 1,984 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/Prompt0.
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.