5 measurements spanning 6 days, net +18. 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 4,178–4,210 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 01:26
4,200
-6
9 Aug 2026, 20:12
4,206
+10
7 Aug 2026, 01:34
4,196
+14
6 Aug 2026, 18:45
4,182
no change
6 Aug 2026, 18:34
4,182
first reading
Engagement
19 posts held, back to 25 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 5 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
27.4%
avg views ÷ 4,200 subscribers
Avg views / post
1,150
19 posts measured
Reaction rate
1.42%
reactions ÷ views · ER floor
Posts in window
19
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 5 August 2026
Posts held
19 (25 July 2026 – 5 August 2026)
Views total
21,862
Reactions total
311
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Aug 2026, 12:13 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
311 reactions across 19 posts, in 11 distinct kinds. The most used accounts for 59.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
185
59.5%
🤣
36
11.6%
🤯
28
9.00%
😁
27
8.68%
😱
14
4.50%
🤨
7
2.25%
👍
5
1.61%
🤝
3
0.965%
👎
2
0.643%
😎
2
0.643%
😭
2
0.643%
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 311reactions 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 25 July 2026 to 5 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.
پروژه Ondo perps به طور رندوم 100دلار واریز کرده به اکانتای کاربرایی که دو شرط زیر رو داشتن:
1-یک میلیون دلار حجم داشته باشن داخل هایپر لیکویید
2-اکانت Ondo perps ساخته بودن ولی واریزی انجام نداده بودن بهش!
واقعیت اینکه شرایط خیلی رندومی هست و خیلیا نمیگیرن اینو چون اونیکه یه میلیون دلار حجم زده داخل هایپر طبیعتا رو این پروژه هم اکانت ساخته و واریز کرده!
بازم میتونین چک کنین اکانت خودتون رو!
توییت تیم
https://app.on…
اینا هم تو Ama که الان توی دیسکورد داشتن ایردراپشون رو تایید کردن که قراره به ۳ گروه داده بشه.
۱.کسایی که تسک های سایت هاشو انجام میدن.
۲.کسایی که رول های دیسکوردش رو گرفتن.
۳.کسایی که براش تولید محتوا میکنن(احتمالا زیاد تو کایتو کمپین خواهند داشت).
احتمالا این چن وقت اسم پروژه Axis Robotics رو شنیده باشین . تازه امروز سیستم پوینت دهی خودشون رو شروع کردن و Epoch اولشون هستش.
از فعالیت های قبلی کسایی که فعال بودن اسنپ شات گرفتن و بهشون پوینت تعلق میگره.
توی توییتشون کامل توضیح دادن که چه چیزایی مهمی براشون توی پوینت .
LINK
https://x.com/axisrobotics/status/2084279833253818489?s=20
البته اینم بگم که درامد هاشون خیلی متغیره و فصل هایی که بازار خوب بوده درآمدهای وحشتناکی داشتن
پس اگه روی بیس فعال بودید این چند ماه هم پارو بزنید ، تا ببینیم چی میشه.
⭕️گزارش مالی ناامیدکننده کوین بیس؛ افت حجم معاملات، درآمد این صرافی را کاهش داد
🔸 صرافی ارز دیجیتال کوینبیس در گزارش مالی سهماهه دوم سال ۲۰۲۶، زیان خالص ۳۵۹ میلیون دلاری ثبت کرد؛ نتیجهای که ضعیفتر از انتظار تحلیلگران والاستریت بود.
🔸 درآمد کوینبیس با کاهش ۱۴ درصدی نسبت به سهماهه قبل به ۱.۲۲ میلیارد دلار رسید که پایینتر از برآورد ۱.۲۹ میلیارد دلاری تحلیلگران بود. کاهش نوسانات و افت فعالیت معاملهگران در بازا…
تیم Kaito از جدیدترین محصول خودش یعنی Kaito Katalyst رونمایی کرد 🔥
تیم KaitoAI رسماً Kaito Katalyst رو معرفی کرد: یه سیستم پاداش هوشمند برای تولید کننده های محتوا که پروژهها فقط بابت نتیجه واقعی نه فارمری قراره ریوارد پرداخت کنند.!
🟩 چیکار میکنه؟
پروژهها با معیارهای شفاف (mindshare، کلیک، ثبتنام کاربر، دیپازیت، فعالیت داخل پلتفرم و ...) پاداش میدن.
سازنده های محتوا که واقعاً توجه و کاربر میآرن، مستقیم پول یا…
k25.ai
یک استارتاپ سنگاپوری است که پلتفرمی ترکیبی از پخش زنده (Livestreaming) و بازارهای پیشبینی (Prediction
Markets) با قدرت AI ساخته
به تازگی ارزش گذاری ۲۵۰ میلیونی شده. میتونین با ۱۰ تا اینوایت به دیسکوردش رول Beta pioneer
بگیرین .
https://discord.gg/mjfaMcHGu
بعدش تیکت باز میکنید
درخواست میدین بهتون
Access code میدن
و میتونید ویت لیست ثبت نام کنید
علاوه بر این میتونید در ایونت هاش شرکت کنید و براش تولید محتو…
رنکتون رو داخل ویت لیست پرپ Arcus چک کنین دوباره !
طبق توییت تیم گفته میشه اونایی که رو لایتر حجم زده بودن تغییر کرده رنکشون.
یه نکته دیگ هم این که رو اسپاتش مداوم حجم بزنین رو سهام و کریپتو. این میتونه رنکتون رو داخل ویت لیست خیلی بهتر کنه!
دلیل اینکه اینقد رو ویت لیست پرپ Arcus تاکید میشه اینکه شما هرچقد زودتر داخل پلتفرم فعالیت کنین پوینت بیشتری خیلی راحت جمع میکنین بدون اینکه رقابتی باشه ! مثل اوایل لایتر یا های…
Onchain Sybil Resistance(Base verify)
بیس به تازگی از Base verify رونمایی کرده؛ قابلیتی که میتواند یکی از مهمترین زیرساختهای آینده اکوسیستم Base باشد!
اما دقیقاً چه کاری انجام میدهد؟
تا امروز اگر پروژهای میخواست ایردراپ یا کمپینی برگزار کند، یک مشکل بزرگ داشت:
یک نفر میتوانست دهها یا حتی صدها ولت بسازد و چندین بار پاداش بگیرد.
برای جلوگیری از این موضوع، پروژهها مجبور بودند از سرویسهای خارجی مثل Gitcoin P…
یه آپدیتی دادن که میتونه مارو نزدیک تر کنه به توکن Base🔥
https://x.com/i/status/2082129046721253717
#Base
❤18
Showing the 12 most recent of 19 posts we hold for @Alpha_degenz. 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
Citation-graph rank — 12,469 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.
Forward network
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.
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 13 August 2026 — this
entry's latest reading, not the date you are reading this.
“Alpha Degens” (@Alpha_degenz), 4,200 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/Alpha_degenz.
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.