Channel
@AI_Quantization
On this record: Growth · Engagement · Posts · Citations · Cite this entry
209subscribers
-1 since we began measuring on 10 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002588558511 |
|---|---|
| Type | Channel |
| Username | @AI_Quantization |
| Created | 17 March 2025 — measured — dated from the channel’s first post |
| First recorded | 10 August 2026 |
| Last confirmed live | 30 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 3 times, most recently 30 August 2026 |
| On Telegram | t.me/AI_Quantization |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Aug 2026, 15:36 | 209 | -1 |
| 10 Aug 2026, 15:15 | 210 | no change |
| 10 Aug 2026, 15:02 | 210 | first reading |
11 posts held, back to 17 March 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 11 posts for this entry, the most recent from 18 March 2025. An engagement rate over an empty window would be a number about nothing.
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🚀Welcome to use our artificial intelligence quantitative software! The platform combines advanced AI intelligent robots to achieve seamless arbitrage by buying low and selling high. Just start our robot and you can easily earn income at home! 👩💻Official customer service:@AiQualityUsd ⛳️Official channel:https://t.me/AI_Quantization
AI-Quantify was established in Colorado, USA on October 22, 2019, providing global users with services such as Bitcoin, Ethereum and other encrypted digital asset derivatives trading, helping users to manage and invest in encrypted digital assets conveniently and quickly. AI-Quantify currently has users in more than 200 countries around the world, covering North America, Europe, Asia-Pacific and other regions, provid…
Channel created
Showing the 11 most recent of 11 posts we hold for @AI_Quantization. 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 — 721,273 of 1,628,524entries 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.
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.
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 17 August 2026 — this entry's latest reading, not the date you are reading this.
“Ai Quantify Channels” (@AI_Quantization), 209 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/AI_Quantization.
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.