3 measurements spanning 4 days, net -2. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between β snapshots are recorded only when a count changes, so gaps mean βno change observedβ, never βinterpolatedβ. The vertical axis spans 1,715β1,717 and does not start at zero.
Measurement log β every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
11 Aug 2026, 03:21
1,715
-2
8 Aug 2026, 03:54
1,717
no change
7 Aug 2026, 11:32
1,717
first reading
Engagement
18 posts held, back to 2 June 2026 β the reader has not yet reached the start of this channelβs public history, so older posts may sit further back, unread. Read across 2 pagesof Telegramβs post history, 20 posts per page.
ERR Β· 30 days
30.5%
avg views Γ· 1,715 subscribers
Avg views / post
523
13 posts measured
Reaction rate
0.506%
reactions Γ· views Β· ER floor
Posts in window
13
of 18 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) Γ· viewsβ note the denominator is views, not subscribers. Telegramβs 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 10 of 13 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days Β· latest post in window 7 August 2026
Posts held
18 (2 June 2026 β 7 August 2026)
Views total
6,805
Reactions total
26
Forwards / comments
not exposed by the public surface β not measured, not estimated
Readings taken
7 Aug 2026, 17:41 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 βcorrectingβ the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form β 8.12K, 3.7M β 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 β read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Reaction mix
39 reactions across 15 posts, in 10 distinct kinds. The most used accounts for 35.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
π
14
35.9%
π«‘
8
20.5%
β€
6
15.4%
π₯
3
7.69%
π
2
5.13%
π₯°
2
5.13%
π
1
2.56%
π
1
2.56%
π
1
2.56%
π
1
2.56%
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 β π is thanks in one channel and mourning in another β 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 β 4.34K, 1.2M β 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 15 of the 18 sampled posts in this sample. Summed by Telegramβs own count on each post β not by adding up the per-emoji breakdown above β those same posts carry 39reactions in total: the kind of figure the paragraph above means by βa reaction total printed elsewhere on the pageβ.
Measured over the 18 most recent posts we hold, published 2 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.
π₯ I believe $HOOKR offers an attractive asymmetric opportunity that's worth taking a small position in.
@Hookrfun | $HOOKR is a very new token launchpad live on Robinhood Chain, centered around custom Uniswap v4 hooks. The project is led by experienced developers with a strong track record in DeFi.
Below is a basic comparison between the $PUMP and $HOOKR models (Image below).
@Hookrfun is an experimental but thougβ¦
π July marked a turning point for @crediblefin | $CRED as the project achieved remarkable growth:
- Reached $162M in monthly payment volume.
- Total cumulative payment volume reached approximately $936M, approaching the $1B milestone.
- Expanded its payment network across Asia to Vietnam, Indonesia, and the Philippines, with support for currency conversion.
- Successfully completed its fundraising round: The targβ¦
JUST IN: Anthropic's Claude Mythos AI discovers new ways to attack cryptographic algorithms, including a post-quantum encryption candidate.
@WatcherGuru
π₯ I've started building a bag of $WRKR around this price range.
@wrkrdev is the missing piece for the Robinhood Chain. Why?
Robinhood already has a massive distribution advantage:
- 28M brokerage accounts
- Tokenized stocks
- RWA
- AI agents
- USDG stablecoin
But to fully leverage that user base, it needs thousands of applications. That means it needs:
- Developers
- AI builders
- Startups
- Solo founders
- Teamβ¦
π This is why $NOXA collapsed so quickly. The founder of $NOXA became too greedy by taking all of the platform fees, while another developer controlled the launch contracts and the website https://x.com/ElonTrades/status/2077247574063431973
BREAKING: πΊπΈ US inflation falls to 3.5%, lower than expectations.
@WatcherGuru
π1
Showing the 12 most recent of 18 posts we hold for @K_gemhunter_L2. 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 β was rounded by Telegram before we ever saw it β t.me prints views in full below 1,000 and to three significant figures above, so β1,200,000 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 β 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 β the βNamed by N registered channelsβ figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Handles this channel named that no longer answer
Dead references
3
handles named in this channelβs posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
3
vacant every time we have ever looked
@K_gemhunter_L2 named 3 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handleβs history β see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today β not that anything βdiedβ. How this is measured.
Never seen alive
References a handle that is not a live channel β we have no record it ever was one.
@hookrfun named in 1 post, 8 August 2026 β 8 August 2026
@nodarj named in 1 post, 8 August 2026 β 8 August 2026
@wrkrdev named in 1 post, 8 August 2026 β 8 August 2026
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 β this
entry's latest reading, not the date you are reading this.
β0xAlpha π (Channel)β (@K_gemhunter_L2), 1,715 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/K_gemhunter_L2.
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 Β· 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.