https://twitter.com/LinkLayerAI/status/2087068853503488332 🎉LinkLayerAI x @weroamxyz LinkLayerAI turns real trading data into evolving, verifiable trading Agents. Roam is a wireless platform using OpenRoaming and eSIM to deliver secure, seamless connectivity for users and intelligence robotics. To celebrate our communities: 🎁5 https://t.co/JHZHZ7Je67

Channel
LinkLayerAI Channel
@linklayer_ai
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
6,078subscribers
-22 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1002090745413 |
|---|---|
| Type | Channel |
| Username | @linklayer_ai |
| Description | LinkLayerAI empowers personal live trading and evolves verifiable trading Agents. |
| Created | Between 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 10 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 10 August 2026 |
| On Telegram | t.me/linklayer_ai |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Aug 2026, 23:21 | 6,078 | -18 |
| 7 Aug 2026, 17:34 | 6,096 | -4 |
| 7 Aug 2026, 04:16 | 6,100 | first reading |
Engagement
23 posts held, back to 2 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 9 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.26%
- avg views ÷ 6,078 subscribers
- Avg views / post
- 76.6
- 16 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 16
- of 23 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.
| Window | Rolling 30 days · latest post in window 11 August 2026 |
|---|---|
| Posts held | 23 (2 July 2026 – 11 August 2026) |
| Views total | 1,225 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 03:33 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
- 11
- Links
- 385
Lifetime counters from Telegram’s own channel header, read 12 August 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
2 reactions across 2 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 2 | 100.0% |
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 2 of the 23 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 2reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 23 most recent posts we hold, published 2 July 2026 to 11 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.
Recent posts
https://twitter.com/LinkLayerAI/status/2086646559501132223 Too many tokens out there. Scroll for 5 minutes and the ones you can actually enter & exit just vanish in the noise. LinkLayerAI Chrome plugin just dropped 👉 https://t.co/doFXZLVQcH Right side panel now live — real-time scanning the most liquid assets on BNB chain. 💧 Open https://t.co/NhCdQehpXu
https://twitter.com/LinkLayerAI/status/2085657620405531104 Capability grows from continuous feedback. Not one-time reports. That’s the @LinkLayerAI difference. https://t.co/HPf6EYOxAe
https://twitter.com/LinkLayerAI/status/2084892314493931839 LinkLayerAI turns real trading data into evolving, verifiable trading Agents.🧮 Miniapp is now live🔥 → Dual liquidity analysis (Binance CEX & BNB Chain Tokens) → Real-time liquidity alerts via TG Bot for watched tokens 🚀Free to try now: https://t.co/rfJgYJyZVB https://t.co/Yb9tXLVuxV
https://twitter.com/LinkLayerAI/status/2084537936553640036 🎉@LinkLayerAI × @Alphioai LinkLayerAI turns real trading data into evolving, verifiable trading Agents. Alphio helps traders research markets, discover opportunities, monitor signals, copy proven strategies, and automate trades across stocks and crypto—all through natural https://t.co/mZOKP7fiO4
https://twitter.com/LinkLayerAI/status/2084154974230253608 Most platforms extract your trading behavior. @LinkLayerAI turns it into Agents that serve you. https://t.co/Galk9gNnJr
https://twitter.com/LinkLayerAI/status/2083100838697025555 🚀 Join the M3 DAO × LinkLayerAI collab! LinkLayerAI turns real trading data into evolving, verifiable trading Agents. 🥳5 free Miniapp trials up for grabs — RT, tag a friend, register & drop your TG handle to enter! Let’s build signal together. https://t.co/RCwxE42EVx
https://twitter.com/LinkLayerAI/status/2083067169500467485 AI agents keep multiplying, but most still run on generic signals. LinkLayerAI feeds them real trader behavior — live positions, risk events, and liquidity states. That’s how capability actually compounds. #LinkLayerAI #AgentEconomy #Web3Trading https://t.co/oXd4g9cEBx
https://twitter.com/LinkLayerAI/status/2082409740622332242 AI agents are everywhere — most still lack real skin in the game. LinkLayerAI connects your Perps and Alpha holdings so Agents can learn from actual risk, liquidity, and position changes. Real data creates real capability. #LinkLayerAI #AgentEconomy #Web3Trading https://t.co/FZmCGPX0cQ
https://twitter.com/LinkLayerAI/status/2081582937494151263 Kimi K3 shows how fast general AI is advancing. But trading intelligence still needs real behavior. LinkLayerAI turns live positions and risk data into Agents that actually understand trader decisions. Powerful models + real trading data = better Agents. #KimiK3 #LinkLayerAI https://t.co/JwerAgIhqu
https://twitter.com/LinkLayerAI/status/2080464454832284024 Sovereign and verifiable AI agents are gaining momentum in crypto. Without high-quality behavioral data, they stay limited. LinkLayerAI connects real trading activity to Agents, enabling continuous learning and transparent execution. #AIAgent #LinkLayerAI
https://twitter.com/LinkLayerAI/status/2079745088591446296 New infrastructure is making it simple to launch and run on-chain trading agents. Easy deployment is just the beginning. Real value comes when Agents learn from actual trading data over time. LinkLayerAI provides that foundation. #Onchaintrading #Agent https://t.co/TOic15ZPNQ
Showing the 12 most recent of 23 posts we hold for @linklayer_ai. 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
Citation-graph rank — 369,701 of 1,160,990entries 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.
Mentions
Named by 3 registered channels — 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
@linklayer_ai 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.
named in 2 posts, 8 August 2026 – 9 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 10 August 2026 — this entry's latest reading, not the date you are reading this.
“LinkLayerAI Channel” (@linklayer_ai), 6,078 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/linklayer_ai.
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.