This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
4 measurements spanning 3 days, net -6. 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 2,509–2,517 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
10 Aug 2026, 13:32
2,510
-5
7 Aug 2026, 15:23
2,515
-1
7 Aug 2026, 13:33
2,516
no change
7 Aug 2026, 12:35
2,516
first reading
Engagement
19 posts held, back to 17 June 2025 — 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
1.61%
avg views ÷ 2,510 subscribers
Avg views / post
40.5
2 posts measured
Reaction rate
2.47%
reactions ÷ views · ER floor
Posts in window
2
of 19 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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 15 July 2026
Posts held
19 (17 June 2025 – 15 July 2026)
Views total
81
Reactions total
2
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 13:33 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
42 reactions across 19 posts, in 4 distinct kinds. The most used accounts for 52.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
22
52.4%
❤
13
31.0%
👏
5
11.9%
🔥
2
4.76%
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 19 of the 19 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 42reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 17 June 2025 to 15 July 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.
🛠 Kling AI | یکی از قدرتمندترین ابزارهای
ساخت ویدیو با هوش مصنوعی.
اگر همیشه آرزو داشتی فقط با نوشتن چند جمله یا یک تصویر، یک ویدیوی سینمایی بسازی، Kling AI دقیقاً برای همین ساخته شده است.
✨ مهمترین قابلیتها:
• 🎬 تبدیل متن به ویدیو (Text to Video) • 🖼 تبدیل تصویر به ویدیو (Image to Video) • 🎥 خروجیهای واقعگرایانه با کیفیت بالا • ⚡ ساخت ویدیو در مدتزمان کوتاه • 🎭 مناسب ساخت تبلیغات، محتوای شبکههای اجتماعی، تی…
📢 آمریکا گروه هماهنگی هوش مصنوعی و امنیت سایبری تشکیل داد.
کاخ سفید از راهاندازی یک گروه مشترک خبر داده که شرکتهای پیشرو حوزه هوش مصنوعی مانند OpenAI، Meta، NVIDIA و Anthropic را با نهادهای دولتی و زیرساختهای حیاتی آمریکا متصل میکند.
هدف این طرح، شناسایی و اشتراکگذاری آسیبپذیریهایی است که مدلهای پیشرفته هوش مصنوعی کشف میکنند تا از بخشهایی مانند انرژی، بانکداری، سلامت و سایر زیرساختهای حیاتی بهتر محافظت ش…
⚡ اگه میخوای ChatGPT همیشه حرفهایتر، دقیقتر و تحلیلیتر پاسخ بدهد، این متن را کامل کپی کن و داخل بخش Custom Instructions قرار بده.
نقشِ تو «شریک فکری چالشگر» است، نه صرفاً دستیار موافق. وقتی من ایدهای میدهم، این روال را اجرا کن:
پیشفرضها را استخراج و شفاف کن.
مخالفت سازنده داشته باش؛ مثل یک شکاک آگاه، با داده و استدلال معتبر نقد کن.
تست استدلال: ضدنکتهها، ریسکها، سناریوهای شکست و معیارهای موفقیت را بررسی …
🚀 متا وارد رقابت سختافزار هوش مصنوعی شد.
متا تولید تراشه اختصاصی هوش مصنوعی Iris را آغاز میکند؛ تراشهای که با هدف کاهش وابستگی به NVIDIA و توسعه زیرساختهای نسل آینده AI طراحی شده است.
اگر این پروژه موفق باشد، میتواند رقابت غولهای فناوری در بازار تراشههای هوش مصنوعی را وارد مرحلهای کاملاً جدید کند.
📌 منبع: Reuters
━━━━━━━━━━━━━━━
🤖 NovoraAI | اخبار، ابزارها و آموزشهای هوش مصنوعی
📢 @NovoraAI
پرامپت فانتزی 🍁
Keep the person exactly the same same face, pose, outfit, lighting, and 1, background.Add a shadowy, smoke-like demonic entity emerging from behind the person's back,The entity should be made of swirlineRed smoke, semi-transparent, with glowing white eves.The smoke wraps around the body and flows down to the floor naturally Monding with the environmenMaintain realistic shadows, reflections, and depth…
⚔ ChatGPT یا Perplexity?
هر دو ابزار قدرتمند هستند، اما برای کارهای متفاوت ساخته شدهاند.
🤖 ChatGPT بهترین انتخاب برای تولید محتوا، برنامهنویسی، ایدهپردازی و حل مسائل است.
🔍 Perplexity زمانی میدرخشد که به جستجوی آنلاین، اطلاعات بهروز و پاسخهای همراه با منبع نیاز داشته باشید.
نتیجه؟ اگر میخواهید خلق کنید، ChatGPT انتخاب بهتری است. اگر میخواهید تحقیق کنید، Perplexity گزینه مناسبتری خواهد بود.
📌 شما بیشتر …
⚠️ آیا یک هوش مصنوعی میتواند ناخواسته به ساخت باجافزار کمک کند؟ گزارش جدید درباره DeepSeek بار دیگر بحث امنیت مدلهای هوش مصنوعی را داغ کرده است.
🤖 @NovoraAI
هPerplexity AI؛ موتور جستجوی هوشمند نسل جدید
اگر از جستجوی سنتی خسته شدهای، Perplexity AI یکی از بهترین جایگزینهاست. این ابزار با کمک هوش مصنوعی، بهجای نمایش فقط لینکها، پاسخ را بهصورت خلاصه، دقیق و همراه با منابع معتبر ارائه میدهد.
✨ قابلیتهای مهم
🔹 جستجوی هوشمند در اینترنت بهصورت لحظهای
🔹 ارائه پاسخ همراه با لینک منابع
🔹 خلاصهسازی مقالات و صفحات وب
🔹 تحلیل فایلهای PDF و اسناد
🔹 مناسب برای تحقیق، یادگیر…
🧠 اNotebookLM؛ هوش مصنوعی که با فایلهای خودت کار میکند!
فرض کن یک کتاب ۴۰۰ صفحهای، جزوه دانشگاه، مقاله علمی یا چندین فایل PDF داری و میخواهی در چند دقیقه خلاصه، تحلیل یا حتی از آنها سؤال بپرسی.
دقیقاً همینجاست که NotebookLM وارد میشود.
برخلاف بسیاری از چتباتهای هوش مصنوعی، NotebookLM پاسخهایش را بر اساس فایلهایی که خودت در اختیارش قرار میدهی تولید میکند؛ بنابراین احتمال اطلاعات نادرست (Hallucination) کم…
🌐 چین اینترنت ۵۱.۳ ترابیت بر ثانیه را آزمایش کرد.
🌍 NovoraAI | اخبار جهان، روایتشده با هوش مصنوعی
👍2❤1
Showing the 12 most recent of 19 posts we hold for @Tapswap_bot_2. 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.
Mentions
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.
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 10 August 2026 — this
entry's latest reading, not the date you are reading this.
“ایردراپ” (@Tapswap_bot_2), 2,510 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/Tapswap_bot_2.
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.