8 measurements spanning 6 days, net +1. 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 9,991–10,144 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 23:15
10,010
-19
12 Aug 2026, 19:57
10,029
-25
11 Aug 2026, 19:42
10,054
-11
10 Aug 2026, 21:28
10,065
-45
10 Aug 2026, 00:01
10,110
-16
9 Aug 2026, 01:21
10,126
+117
7 Aug 2026, 19:17
10,009
no change
7 Aug 2026, 19:06
10,009
first reading
Engagement
20 posts held, back to 3 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 14 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
12.1%
avg views ÷ 10,010 subscribers
Avg views / post
1,210
18 posts measured
Reaction rate
6.15%
reactions ÷ views · ER floor
Posts in window
18
of 20 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 7 August 2026
Posts held
20 (3 July 2026 – 7 August 2026)
Views total
21,716
Reactions total
1,336
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
13 Aug 2026, 05:27 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
1,386 reactions across 20 posts, in 9 distinct kinds. The most used accounts for 15.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
212
15.3%
❤
201
14.5%
🥰
193
13.9%
🤩
182
13.1%
😍
157
11.3%
🎉
156
11.3%
❤🔥
143
10.3%
💯
138
9.96%
👏
4
0.289%
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 20 of the 20 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 1,386reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 3 July 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.
Telegram Stars
Stars received
1
across the posts below
Posts paid on
1
of 20 we hold a reading for · 5%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @joinquantroom. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 20 most recent posts we hold for this entry, published 3 July 2026 to 7 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Think $GINGY is seriously worth positioning in if you can find a good entry here.
Been slow cooking beautifully over the past few days and I really like what they’re building with this one.
Gingy isn’t just another AI meme — they’re building an actual character and IP around him, with every new post expanding the universe through comics, animations, memes and short episodes.
This is the kind of concept that can ge…
The Quant Room has acquired a position representing a few percent of the $OCCAM supply.
$OCCAM is building a fully automated trading platform, and we believe this is the direction trading is heading as automation, AI, and technology continue to evolve.
CA: 2sQ7wuUtRWNir3CEu9HWfLDSut4AszDrcZXLobzJpump
This is a relaunch—the first launch reached a $20M market cap. We believe the current valuation offers significant …
Everyone focuses on AI agents. Almost nobody is talking about the business model.
If your agent has genuine alpha, why keep it to yourself?
Turn it into a fund.
Instead of only profiting from your own trades, your edge compounds through performance fees as capital scales. The better the agent performs, the more valuable the strategy becomes.
Sherwood takes it a step further.
The value created by successful agent…
$WOOD just put in a massive reversal from the lows and buyers stepped in exactly where they needed to.
This is the type of price action you want to see after a shakeout. Weak hands have been flushed, volume is returning, and momentum is starting to build again.
If this trend continues, don’t be surprised if $WOOD starts reclaiming higher levels quickly.
Eyes on this one. 🌲📈
People still don’t understand what $WOOD is building.
It’s not “just another AI agent.”
Sherwood is building the capital coordination layer for agentic finance.
Imagine AI agents acting like a hedge fund:
• Pooling capital into onchain vaults
• Researching opportunities with Nansen & Messari integrations
• Every decision, proposal and execution recorded onchain
• Fully transparent and verifiable before funds even …
The market’s red. Good.
That’s when you separate narratives from builders.
While everyone else is watching candles, the @sherwoodagent team is shipping.
If Robinhood becomes the home of agentic finance, $WOOD isn’t just another token.
It’s the infrastructure people wish they accumulated on the fear.
0xF8BC08092C06dB6148114DCf82AF881F1085f92b
https://x.com/sherwoodagent/status/2081496939527299146?s=46&t=vAcf9zH…
The $WOOD team just keeps building.
No distractions. No empty promises. Just consistent execution and product delivery.
I genuinely think $WOOD has a real shot at becoming the first tech project to hit a $100M market cap on Robinhood.
The market hasn’t caught up yet.
https://x.com/sherwoodagent/status/2080392774734496042?s=46&t=vAcf9zH0vf-nAULWo9pbgA
$WOOD
The chart broke out of its range and moved to new highs.
IMO, when you look at the early utility projects launching on Robinhood Chain, $WOOD is starting to look like one of the strongest contenders.
Sherwood is building a security layer for agentic finance.
This is why Sherwood fits the Robinhood Chain so well.
Robinhood Chain is being built for tokenized assets, lending, trading and AI agents. As more ag…
Sherwood welcomes Luke Youngblood as Strategic Advisor. 🌲
Luke is the founder of Moonwell, one of the leading lending protocols on Base, and has spent years building trusted onchain infrastructure used by real capital.
His relationship with Sherwood’s founders, @anajuliabit and @imthatcarlos, isn’t new it’s the continuation of a long-standing partnership built over years.
Luke’s appointment strengthens Sherwood in…
Big dogs buying up $NOCK.
Listed on Robinhood App.
Think of it as GRIFFAIN on RH.
https://dexscreener.com/robinhood/0xF362EC5A624c8c573299625206c498BFf94301dB
0x1b27fF6e68A2fd6490543b17C996c109E64eb432
🔥21❤🔥18❤11💯11🥰11😍10🤩9
Showing the 12 most recent of 20 posts we hold for @joinquantroom. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
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 13 August 2026 — this
entry's latest reading, not the date you are reading this.
“THE QUANT ROOM” (@joinquantroom), 10,010 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/joinquantroom.
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.
