4 measurements spanning 6 days, net -58. 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 5,053–5,129 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 13:44
5,062
-22
9 Aug 2026, 16:21
5,084
-35
7 Aug 2026, 00:48
5,119
-1
6 Aug 2026, 04:02
5,120
first reading
Engagement
25 posts held, back to 23 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 9 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
31.8%
avg views ÷ 5,062 subscribers
Avg views / post
1,610
25 posts measured
Reaction rate
0.308%
reactions ÷ views · ER floor
Posts in window
25
of 25 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 23 of 25 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 11 August 2026
Posts held
25 (23 July 2026 – 11 August 2026)
Views total
40,263
Reactions total
113
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 04:49 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
113 reactions across 22 posts, in 5 distinct kinds. The most used accounts for 66.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
75
66.4%
🔥
14
12.4%
😍
12
10.6%
❤🔥
10
8.85%
👌
2
1.77%
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 23 of the 25 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 113reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 25 most recent posts we hold, published 23 July 2026 to 11 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.
⁉️💭کدوم هوش برای چه کاری خوبه ؟
1️⃣. برای پایان نامه و مقاله ⬅️⬅️ترکیب جمنای پرو به خاطر نوت بوک ال ام ➕ یک اکانت اورجینال GPt به دلیل پایداریش
2️⃣. برای ایام امتحانات یا دوره کوتاه تر از یک ماه⬅️⬅️Gpt غیر اورجینالی یا پلاس جمنای
3️⃣. برای آنلاین شاپ ها ⬅️⬅️ اگر نیاز به تولید فیلم هستش جمنای پرو و اگر نیاز به متن فارسی در بنر یا تبلیغات بسته به استفاده مدل های Gpt
4️⃣. برای کدنویسی ⬅️⬅️ اکانت zencoder به دلیل کد…
کانال Ai bazaar ❤️
رو هر کدوم از موارد کلیک کنید توضیحاتش نمایش داده میشه براتون
👨💻 بخش خدمات
🟥 English Course :
جزوه:📚
فلش کارت:🧧
📚جزوه pdf مستر لغت لول 1️⃣🔤
🧧فلش کارت مستر لغت لول 1️⃣🔤
📚جزوه 1000 کالوکیشن از دو کتاب
collocations in use
📚جزوه مستر اسپیکینگ تسک 2 تافل
🧧فلش کارت اسنشیال ورد تافل
کانال Ai bazaar ❤️
رو هر کدوم از موارد کلیک کنید توضیحاتش نمایش داده میشه براتون
🛒 بخش محصولات
🤖GPT-[با مدل Sol 5.6 و Terra]
✨GEMINI-[با مدل Flash 3.6 و Pro]
📹Kimi-[ابرغول رتبه یک بالاتر از کلاد]
📱Notion-[همه یکجا روی جیمل]
🪐Grok-[با مدل grok 4.5]
🔠 Zencoder-[ویژه کد نویسی]
💎 فلش کارت اسنشیال ورد تافل :
▫️567 لغت ضروری و پرتکرار تافل
▫️به همراه عکس
▫️به همراه دو مثال و ترجمه
▫️به همراه تلفظ آفلاین
▫️بررسی تمام اشکال لغت
▫️دارای کالوکیشن لغت
▫️دو مترادف برای هر لغت
▫️بیان تفاوت موقعیتی بین مترادف ها
▫️مجموعا دارای 1130 لغت آموزشی
▫️ویژه برای آزمون تافل
▫️افزایش نمره در رایتینگ و اسپیکینگ
🚨10 لغت جهت تست ضمیمه شدن
فقط 9️⃣9️⃣1️⃣ هزار تومن
💡⬅️برای ثبت سفارش کلیک کنید
👑جزوه مستر اسپیکینگ؛ راهنمای کامل پاسخدهی به تسک 2 تافل 🗣
⏳ در تسک دوم اسپیکینگ تافل تنها ۴۵ ثانیه فرصت دارید تا یک پاسخ منسجم، سریع و نمرهآور ارائه دهید؛ بدون زمان کافی برای فکر کردن
🎯 برای همین، داشتن یک چارچوب استاندارد و تمرینشده میتواند به شما کمک کند تا با اعتمادبهنفس بیشتر، پاسخهای قویتر و ساختارمندتری ارائه دهید.
🔖در این جزوه یاد میگیرید:
▫️۱۵۰ تمرین تخصصی اسپیکینگ
▫️۳۸ قالب کاربردی برای پاسخدهی
▫…
🤖امروز اوپنایآی یه بهروزرسانی خفن برای ChatGPT معرفی کرد که کلاً تجربه کاربری رو دگرگون میکنه!
💡 مدل GPT-5.6 Sol توی چتجیپیتی آپدیت شده و حالا جوابهای خیلی دقیقتر، خلاصهتر و بدون حاشیهای میده. طبق آمار خودشون، خطاهای واقعی و توهمات مدل توی حوزههای مالی و پزشکی حدود ۶۸ درصد کمتر شده.
💡 علاوه بر این، یه اسلایدر جدید به کاربران پلاس و پرو داده شده تا خودشون میزان فکر کردن و استدلال مدل رو تنظیم کنن.
👑 جزوه 0️⃣0️⃣0️⃣1️⃣ کالوکیشن از
2 کتاب collection in use advance و intermediate
▫️1000 کالوکیشن از دو کتاب
▫️20 موضوع رایج و طبقه بندی
▫️لول بندی شده با مارک از B1 تا C2
▫️به همراه موقعیت استفاده
▫️ترجمه
▫️مثال
▫️نکته امتحانی
▫️ویژه آزمون
▫️در قالب pdf
▫️افزایش نمره در رایتینگ و اسپیکینگ
فقط 9️⃣9️⃣1️⃣ هزار تومن
💡⬅️برای ثبت سفارش کلیک کنید
🎁🎉 دوستانتان را دعوت کنید و جایزه بگیرید
👑🤖میدونستید شما با معرفی فقط 2️⃣ نفر از دوستانتون به ما و خرید اونها میتونید یک اکانت GEMINI + NotebookLM
را به صورت رایگان از ما هدیه بگیرید؟
💡نحوه ثبت دعوتی خیلی ساده است:
شما فقط کافیست بعد از خرید ما را به دوستانتان معرفی کنید.
دوستان شما به آیدی پشتیبان @Gptplusacc پیام میدهند و اسم یا آیدی شما را بهعنوان معرف اعلام میکنند.
در صورت خرید آنها، دعوتی برای شما ثبت…
اینم سمپل ده تایی جهت تست 📫
به ظرافت و نظم این سمپل دقت کنید😎
📉 پنجاه درصد تخفیف برای کسانی که جزوه مستر لغت خرید کرده بودند اعمال میشه
💡⬅️برای ثبت سفارش و اطلاع از قیمت کلیک کنید
🚨 فلش کارت مستر لغت لول 1️⃣🔤 :
➕با اضافه شدن سه synonyms برای هر لغت
▫️500 لغت لول C1 در فلش کارت
▫️10 موضوع رایج و طبقه بندی
▫️به همراه Definition
▫️ترجمه
▫️مثال
▫️کالوکیشن
▫️نکته امتحانی و اشتباهات متداول
▫️تلفظ افلاین فلش کارت
▫️مناسب برای آزمون
▫️افزایش نمره در رایتینگ و اسپیکینگ
فقط 9️⃣9️⃣1️⃣ هزار تومن
💡⬅️برای ثبت سفارش کلیک کنید
❤🔥4👌1🔥1
Showing the 12 most recent of 25 posts we hold for @ai_bazaar. 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.
Posts edited after publishing
@ai_bazaar 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.
First edit seen
8 August 2026
Most recent edit
12 August 2026
Citation-graph rank
Citation-graph rank — 674,953 of 1,151,006entries 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.
Mentions
Named by 3 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.
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 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“Ai Bazaar | بازار هوش مصنوعی” (@ai_bazaar), 5,062 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/ai_bazaar.
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.