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Channel

Cluster Protocol | Announcements

@clusterprotocolann

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

49,297subscribers

-221 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001976729832
TypeChannel
Username@clusterprotocolann
DescriptionOrchestration layer for autonomous workflows and prompt to dapp browser based IDE. Backed by DAO5 and Paper Ventures Check out our twitter at https://twitter.com/ClusterProtocol
CreatedBetween 1 March 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/clusterprotocolann

Growth

49,29749,51849,407.56 August 2026 — 49,518 subscribers6 August 2026 — 49,518 subscribers7 August 2026 — 49,447 subscribers8 August 2026 — 49,422 subscribers9 August 2026 — 49,381 subscribers10 August 2026 — 49,361 subscribers11 August 2026 — 49,325 subscribers12 August 2026 — 49,297 subscribers6 August 202612 August 2026
8 measurements spanning 6 days, net -221. 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 49,264–49,551 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 01:1249,297-28
11 Aug 2026, 03:1249,325-36
10 Aug 2026, 06:0749,361-20
9 Aug 2026, 05:5049,381-41
8 Aug 2026, 05:0249,422-25
7 Aug 2026, 04:2349,447-71
6 Aug 2026, 01:4649,518no change
6 Aug 2026, 01:3949,518first reading

Engagement

23 posts held, back to 27 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 17 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
25.5%
avg views ÷ 49,297 subscribers
Avg views / post
12,600
14 posts measured
Reaction rate
0.225%
reactions ÷ views · ER floor
Posts in window
14
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.

What these figures were computed from
WindowRolling 30 days · latest post in window 11 August 2026
Posts held23 (27 June 202611 August 2026)
Views total176,180
Reactions total397
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 19:50 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
429
Videos
221
Links
615

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.

Video runtime
7m 46s
Average length
58s

Measured directly from 8 videos 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

619 reactions across 23 posts, in 10 distinct kinds. The most used accounts for 13.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🥰8113.1%
🤩7612.3%
🔥7311.8%
😍7311.8%
👍6710.8%
💯6710.8%
619.85%
❤‍🔥619.85%
🎉589.37%
👌20.323%

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 23 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 619reactions 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 27 June 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

11 Aug 2026, 18:36 UTC≈8,670 views21 reactionsread 12 August 2026
Video

"It's only as good as the data it has access to." Arjun Kalsy from Covalent on why model quality may stop being the defining moat sooner than expected. As model weights converge and capabilities begin to level out, the real competitive edge shifts toward the quality, depth, and ownership of data. From Cluster Roundtable: Open Source at the Model Layer.

😍5🎉3🔥3🥰3❤‍🔥2👍2💯2🤩1

10 Aug 2026, 18:06 UTC≈16,800 views16 reactionsread 12 August 2026
Photo

Qwen3.8-Max is now live on Cluster Protocol. Alibaba's most capable model in the Qwen3 lineup. Built for complex reasoning, long-form tasks, and workloads where you need the ceiling as high as it can go. Access it through one API alongside 500+ open source models. Try it here → hub.clusterprotocol.ai/models/qwen3.8-max

🤩6🎉42👍1💯1🥰1😍1

7 Aug 2026, 21:42 UTC≈8,250 views26 reactionsread 12 August 2026
Video

Paying for AI compute stopped being the hard problem on July 14, when Visa, Mastercard, and the Linux Foundation put their names on x402. We're partnering with 0G Labs because the harder problem, proving the compute you paid for actually ran, still needed solving. On the private tier, models run in Intel TDX and H100 or H200 enclaves. The enclave signs the response and the attestation is fixed at deployment, so you

🔥6❤‍🔥4💯4😍4🥰3👍2🤩2🎉1

5 Aug 2026, 20:30 UTC≈7,610 views20 reactionsread 12 August 2026
Photo

Cluster Protocol: July 2026 Recap Our monthly recap is now live, covering everything Cluster Protocol shipped last month across private inference, x402 settlement, the launch of Qwen3.5 397B on our private inference stack, and new partnerships with Venice, Primus Labs, Mind Network and more. Read the full article on X

👍8💯4🥰4🤩3❤‍🔥1

4 Aug 2026, 21:26 UTC≈6,020 views11 reactionsread 12 August 2026
Photo

Kimi K3 is live on Cluster. 1M token context window. Moonshot AI's most capable model yet. Feed it an entire codebase, a research corpus, a full document and it holds the thread across all of it. Available now through one API alongside 500+ open source models. Try it here → http://hub.clusterprotocol.ai/models/kimi-k3

👍3😍3🥰21🎉1🤩1

31 Jul 2026, 14:30 UTC≈2,770 views30 reactionsread 12 August 2026
Video

"The hardware they will build in 2030 is already sold out." Nandit Mehra, Founder of Lighthouse, on the supply crunch nobody is pricing in. Big tech is buying GPUs, memory and drives like there is no next cycle, and the storage names are up a thousand percent plus on the back of it. In a pod with YJ, Chief, Cluster Protocol

🤩8🎉74👍4❤‍🔥2🥰2😍2💯1

29 Jul 2026, 20:29 UTC≈8,320 views20 reactionsread 12 August 2026
Video

Is Crypto Dead? Valerio from Unibase AI dissects his thoughts over in one of Cluster's Roundtable Checkout her thoughts on payment rails, AI agentic flows and AI economy 👇

🔥7❤‍🔥3👍3🎉2😍21💯1🥰1

28 Jul 2026, 19:09 UTC≈19,300 views21 reactionsread 12 August 2026
Photo

How does smart money always seem to be one step ahead onchain? We're sitting down with InsightX to break down how the pros actually read the chain, tracking whales, spotting the wallets nobody else sees, and finding alpha before it hits your timeline. 🎙️Live this Thursday on X Spaces. 🗓30 July, 2:30 PM UTC. Space Link: https://twitter.com/i/spaces/1qJDzzgYjREKV Learn how smart money actually finds alpha onchain,

👍6🥰6❤‍🔥43🔥2

27 Jul 2026, 13:06 UTC≈11,100 views30 reactionsread 12 August 2026
Photo

For five thousand years, gold has been the world's most trusted store of value and it has never paid its holder anything. You hold it, and you wait for the price to move. Pei C., CEO, Theoriq, is building the infrastructure to change that onchain. She joins YJ, Chief, Cluster Protocol on the Founder Podcast to explain how AI-managed vaults generate yield on tokenized gold, and what the risk framework looks like wh

🔥104💯4👍3🥰3😍3🎉1👌1

23 Jul 2026, 21:28 UTC≈2,440 views24 reactionsread 12 August 2026
Photo

Before AWS, every company ran its own servers. The integration cost was identical everywhere, the advantage was zero, and then one API made it a utility. AI infrastructure in 2026 is the same chaos, one layer up. Hundreds of models, dozens of APIs, no common settlement. The Amazon moment for AI is not just a better API. It is the collapse of interface, market, and settlement into one layer, where models, data, and c

❤‍🔥6🔥4👍3💯32🤩2🎉1👌1

22 Jul 2026, 15:02 UTC≈19,200 views93 reactionsread 12 August 2026
Photo

If Web3 is the future then why most people still can't figure out how to use it. We're bringing on @uxlinkofficial, one of the largest social platforms in Web3, to get into the real reason normal people still aren't here. With Rolland, live on X Spaces. 🗓 July 23, 2:30 PM UTC. 🔗 Space Link ⬇️ https://twitter.com/i/spaces/1qJVmmBNgPDGB Don't miss.

🥰18💯14🤩12🎉1110❤‍🔥10🔥8👍5

20 Jul 2026, 18:40 UTC≈21,500 views29 reactionsread 12 August 2026
Video

We're excited to be building on Venice, the leading private AI platform, to solve the harder version of the problem: privacy you can prove. Venice is the only AI platform of its scale built private by default. Prompts are never stored, conversations never leave your device, and no third party (not Venice, not the infrastructure, not anyone) can see what you ask. Inference runs inside sealed hardware enclaves, and ev

😍7🤩54🎉4🥰4💯2🔥2👍1

Showing the 12 most recent of 23 posts we hold for @clusterprotocolann. 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 — 853,384 of 1,151,006entries 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.

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

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.

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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“Cluster Protocol | Announcements” (@clusterprotocolann), 49,297 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/clusterprotocolann.

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.