Crypto & trading — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 11 September 2026 and assigned it the closest of 31 fixed categories, at 95% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.
Growth
45 measurements spanning 96 days, net +885. 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 6,151–13,818 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 45
Measured (UTC)
Subscribers
Change
11 Nov 2026, 12:06
10,260
-25
9 Nov 2026, 20:08
10,285
-4
8 Nov 2026, 11:51
10,289
-21
7 Nov 2026, 04:28
10,310
-12
6 Nov 2026, 07:21
10,322
-2
5 Nov 2026, 10:17
10,324
-12
4 Nov 2026, 06:59
10,336
-17
3 Nov 2026, 09:19
10,353
-5
2 Nov 2026, 10:59
10,358
-15
1 Nov 2026, 13:34
10,373
+3,337
29 Oct 2026, 10:34
7,036
-165
26 Oct 2026, 09:09
7,201
-288
23 Oct 2026, 08:06
7,489
-181
20 Oct 2026, 13:19
7,670
-186
17 Oct 2026, 12:19
7,856
-392
14 Oct 2026, 03:50
8,248
-397
10 Oct 2026, 08:16
8,645
-838
3 Oct 2026, 20:39
9,483
-1,409
25 Sept 2026, 02:59
10,892
-845
18 Sept 2026, 21:01
11,737
first reading
Engagement
36 posts held, back to 2 May 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 62 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
44.5%
avg views ÷ 10,260 subscribers
Avg views / post
4,570
6 posts measured
Reaction rate
0.678%
reactions ÷ views · ER floor
Posts in window
6
of 36 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 5 of 6 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 November 2026
Posts held
36 (2 May 2026 – 11 November 2026)
Views total
27,420
Reactions total
154
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Nov 2026, 10:41 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 “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.
What this channel posts
Photos
365
Videos
17
Links
345
Lifetime counters from Telegram’s own channel header, read 12 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Reaction mix
1,034 reactions across 33 posts, in 10 distinct kinds. The most used accounts for 30.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
314
30.4%
🔥
309
29.9%
🐳
184
17.8%
💯
168
16.2%
👏
34
3.29%
😱
8
0.774%
🤣
8
0.774%
🌚
5
0.484%
😁
3
0.29%
🥰
1
0.097%
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 33 of the 36 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 1,034 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 36 most recent posts we hold, published 2 May 2026 to 11 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 6 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
$STANK on SOL
Most of you know I was a massive Fartcoin whale and still believe in that coin massively
It’s been a while since I’ve seen some OG members of that community push something, but they’re rallying behind $STANK a bit now, which has just been pinned in the @fart (official Fartcoin) TG
The hourly chart also looks really solid here and it’s been consolidating very nicely whilst the market has been the most…
#MAMESUKE MC 200k
MAMESUKE just popped on ’s radar at a sub-50k market cap—Solana-based memecoin ready to blow. Entry was fresh under 0.00047, and the token’s already showing that early price action energy.
This isn’t just random noise; the signal came tight and clear on 02/11 midday, with the marketcap sitting right where the bot flagged. Buyers stepping softly but the floor is whispering — no urgent dumps yet, liq…
$JOB Everybody knows the dog with
the hat. But in this economy, who’s paying for the hat?
Meet DogWifJob. Born to chase balls, forced to chase paychecks. He used to be a good boy. Now he’s a good employee.
Tg: https://t.me/dogwifjob
Web: https://dogwifjob.com/
Dex: https://dexscreener.com/solana/hauvbmnthcfmg9srxmvz1gaxnpu955hkpdsasc2cx4c8
$MACCA
Macca the Gator is the face of GTA VI's Vice City merch collection, featured on official Rockstar collectibles and merchandise.
Rockstar even posted him on their official X account.
GTA VI mascot + paired with TTWO stock LP which totally make sense for Robinhood Chain.
X: https://x.com/macca_rh
Web: https://maccagta.com/
DEX: https://dexscreener.com/robinhood/0xedb0f576ceb12c79bac96c1ff02c8778ce30780ef0dd…
#DNA
uses AI agents to continuously analyze market conditions and propose better trading fees every 15 minutes. Strategies are simulated, challenged by a second AI, then tested live before being adopted. Essentially, it’s an AI that optimizes its own token economics.
• 5% max fee
• Public 1-hour delay on changes
• Team veto protection
• Live experiments and performance tracking
• Community-submitted ideas with rewar…
$Botify and it's the first project where AI bots turn the stock market into memecoins.
Here's how it works. The bots scan TradingView, financial news, X and TikTok twenty-four seven. The second a stock starts moving, an earnings print, an IPO, a viral headline, the bot scores it and launches a token paired directly against the tokenized stock.
The have over 4000 community in their Telegram. 20,000 followers on X. M…
$SI looks interesting SI trump is changing the term AI from Artificial Intelligence to now Super Intelligence. Quite literally no better coin possible than this. Super intelligence is the new term for AI. Watch your entry
Web: https://truthsocial.com
Chart: https://dexscreener.com/solana/DEW9dSN6QpWyNthphCpMmAbZP1Q4cEKR9xQXAri98WDP
$EMBERZ this one looks dope, tbh idk team but they're cooking something huge to maximize it's potential.
Studying $EMBER, built on Meteora's Dynamic Bonding Curve (DBC), which means the launchpad doesn't just inherit a bonding curve; it inherits an entire liquidity infrastructure.
- how fast price ramps
- anti-sniper fee logic
- graduation threshold
- LP distribution after migration
Web: https://embercurve.fun/
C…
$PIPEDOG at $40M is now stealing all liquidity from other coins, because the dev locked 1,600 ETH as liquidity for 2,000 years and it has a very fat liquidity pool.
It could run higher, but make sure to put a stop loss here for a majority of your position as it can rug anytime.
Tg: https://t.me/pipedogpipe
Web: https://pipedog.xyz/
Dex: https://dexscreener.com/robinhood/0xB7f10f74B39291b9290b779978e19A7637C742D6
🔥14👍12💯10🐳1
Showing the 12 most recent of 36 posts we hold for @wiseape_gems. 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 recorded as deleted after publishing
We recorded 1 post on @wiseape_gems as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
8 August 2026
Most recent seen missing
8 August 2026
Median time before seen missing
7 days
Seen missing in the last 30 days
0
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
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@wiseape_gems named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — 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 — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@wcmascots2026 named in 1 post, 8 August 2026 – 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 November 2026 — this
entry's latest reading, not the date you are reading this.
“Wise Apes” (@wiseape_gems), 10,260 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/wiseape_gems.
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.