Technology — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 97% 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 why it has no browse page of its own yet.
Growth
34 measurements spanning 42 days, net -841. 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 37,005–38,098 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)
Subscribers
Change
18 Sept 2026, 21:39
37,131
-42
16 Sept 2026, 14:21
37,173
-36
14 Sept 2026, 20:39
37,209
-58
13 Sept 2026, 04:15
37,267
-51
11 Sept 2026, 04:41
37,318
-40
8 Sept 2026, 09:16
37,358
-65
5 Sept 2026, 03:17
37,423
-53
3 Sept 2026, 09:12
37,476
-31
2 Sept 2026, 01:16
37,507
-10
1 Sept 2026, 04:37
37,517
-28
31 Aug 2026, 03:24
37,545
-27
30 Aug 2026, 05:07
37,572
-19
29 Aug 2026, 06:47
37,591
-11
28 Aug 2026, 04:43
37,602
-10
27 Aug 2026, 04:35
37,612
-10
26 Aug 2026, 06:55
37,622
-19
25 Aug 2026, 05:27
37,641
-27
24 Aug 2026, 04:32
37,668
-24
22 Aug 2026, 12:08
37,692
-27
21 Aug 2026, 00:02
37,719
first reading
Engagement
79 posts held, back to 24 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 81 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
19.9%
avg views ÷ 37,131 subscribers
Avg views / post
7,390
40 posts measured
Reaction rate
3.34%
reactions ÷ views · ER floor
Posts in window
40
of 79 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 22 September 2026
Posts held
79 (24 July 2026 – 22 September 2026)
Views total
295,761
Reactions total
9,886
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
23 Sept 2026, 01:02 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
937
Videos
49
Links
839
Lifetime counters from Telegram’s own channel header, read 23 September 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.
Video runtime
27s
Average length
27s
Measured directly from 1 video with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
20,280 reactions across 79 posts, in 45 distinct kinds. The most used accounts for 26.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
5,419
26.7%
❤
2,550
12.6%
🔥
2,397
11.8%
👏
1,855
9.15%
🤯
1,036
5.11%
😁
796
3.93%
🤝
697
3.44%
💯
664
3.27%
🫡
571
2.82%
👀
566
2.79%
😍
498
2.46%
🥰
405
2.00%
🤗
400
1.97%
🙏
258
1.27%
😇
251
1.24%
🤡
248
1.22%
⚡
238
1.17%
🦄
195
0.962%
🎉
192
0.947%
🤩
181
0.893%
25 further kinds
863
4.26%
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 79 of the 79 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 20,280 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 79 most recent posts we hold, published 24 July 2026 to 22 September 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.
You buy a laptop. You tell the tax office it will last six years. You actually replace it in three.
Nothing illegal happened. But for three years your reported profit was too high.
Now do it with a hundred billion dollars of GPUs.
Microsoft, Alphabet, Amazon, Meta and Oracle all stretched how long they assume their servers last. In the year each one did it, the boost to net income came in at 4.1%, 4.1%, 4.2%, 4.3%…
Swapping onchain usually means picking a DEX and hoping you chose right.
Spot on Ozak AI Eon routes across aggregated DEX liquidity and finds the best path for you.
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Same interface as your research, your signals and your perps. Non-custodial 🔐
Try Eon FREE: ozak.ai/eon 🎯
Following Smart Money: What Wallets Tell You That Charts Do Not 🎙️
A chart tells you what already happened. A wallet tells you who did it, how much conviction they had, and whether they have been right before 🔍
On-chain is the only market in history where you can watch the informed money move in real time. Almost nobody uses it properly, because raw transaction data is unreadable without something on top of it doin…
The Alliance Series continues, and this one follows a partnership we announced last week 🚀
We are running a 6-day round with SodaBot.
SodaBot is a smart OS built for DeFi AI agents, powered by on-chain data. Its Signal Agent tracks high-performing wallets and calls out where alpha is actually moving, while its Copy Trade Agent mirrors those wallets automatically, combining the RFM model, LLMs and transaction analys…
🚨 Episode 97 of The Intelligence Journal is here.
Jev: The Model That Doesn't Talk 🤐⚡
Diogo Almeida co-invented RLHF, the technique that made ChatGPT work.
He spent two years in stealth. This week he emerged with $40 million and a model that does the opposite of everything he helped build.
Jev generates no text. None. You give it unstructured input, you hand it the options in advance, and it returns a typed decis…
Most perps terminals give you a chart and wish you luck.
Ozak AI Eon puts an AI Analysis button on the trading screen itself.
One click and it reads the book back to you: RSI, Bollinger Bands, EMA20/50, each tagged bullish or bearish, plus a plain-English summary of what the setup actually is 🧠
Then it gives you projected ranges. 1h, 4h, 24h, 1w. Low, high, mid.
On the same screen you place the trade on. Non-cust…
Have you actually tried Ozak AI Eon yet? 👀
If not, it takes about ten seconds and costs nothing.
Eon is our agentic AI platform for traders. There is no dashboard to set up and nothing to configure. There is a box. You type a question the way you would say it out loud, and specialist agents go and do the work.
Try one of these as your first question:
- Is Bitcoin in a bullish or bearish phase based on recent mark…
Backed By What, Exactly? 🎙️
It is the simplest question in this industry and the one fewest projects can answer cleanly 🔍
A gold token says there is bullion in a vault. A signal product says there is analysis behind the call. A protocol says there is collateral behind the position. In every case the claim is easy to make and the proof is the hard part, and the gap between the two is where this industry keeps hurtin…
The Alliance Series continues, and this one brings something different to the table 🚀
We are running a round with BIGOD.
BIGOD is a gold-backed real-world asset token on BNB Chain. Every $BIGOD token is pegged to 250 grams of physical gold, held in audited vaults across Singapore, the UAE, Hong Kong and Switzerland under the custodianship of AIIONGOLD, with utility spanning trading, staking, payments and hedging 🪙
…
Ozak AI x BinGold 🤝
We are partnering with BinGold, a gold-backed real-world asset token bringing physical bullion onchain.
Each $BIGOD token is pegged to 250 grams of physical gold, held in audited vaults across Singapore, the UAE, Hong Kong and Switzerland under the custody of AIIONGOLD, and issued on BNB Chain as a BEP-20 asset 🪙
Ozak AI Eon is agentic intelligence for AI-native traders. Research across hundred…
🚨 Episode 96 of The Intelligence Journal is here.
The Moat Was Never the Software 🏦🧠
Salesforce shipped Koa, a reasoning model built for one thing: CRM work.
Not a general chatbot. A model that qualifies leads, routes cases, and resolves service tickets across 14+ industries, built on NVIDIA's Nemotron 3 Super and post-trained on synthetic data distilled from 27 years of watching how enterprise business actually r…
🚨 Episode 95 of The Intelligence Journal is here.
They All Agreed to Slow Down. Ask Who Benefits? 🛑🏰
Dario Amodei published "We Must Pace the Frontier" this weekend.
Sam Altman backed it within hours. Demis Hassabis called it the right path forward. Elon Musk wrote three words: "Dario is right."
Every leader of every major US lab, agreeing instantly, in public. That has never happened before 🤝
Then read the thir…
👍208🔥33❤26🎉23😁17🤗10🦄7🤡6
Showing the 12 most recent of 79 posts we hold for @OzakAGI. 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.
Mentions
Named by 1 registered channel — 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.
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
@OzakAGI 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.
@acurast named in 8 posts, 8 August 2026 – 23 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“Ozak AI” (@OzakAGI), 37,131 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/OzakAGI.
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.