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Channel

Super Protocol Announcements

@superprotocol_official

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

22,506subscribers

-1,067 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001720429438
TypeChannel
Username@superprotocol_official
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live30 October 2026
Measurements held52
Confirmed unchanged1 time, most recently 30 October 2026
On Telegramt.me/superprotocol_official

Topic

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 10 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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 the other topics.

Growth

22,50623,57323,039.57 August 2026 — 23,573 subscribers8 August 2026 — 23,568 subscribers9 August 2026 — 23,561 subscribers10 August 2026 — 23,525 subscribers11 August 2026 — 23,513 subscribers12 August 2026 — 23,498 subscribers13 August 2026 — 23,494 subscribers15 August 2026 — 23,487 subscribers16 August 2026 — 23,478 subscribers17 August 2026 — 23,467 subscribers18 August 2026 — 23,459 subscribers19 August 2026 — 23,456 subscribers20 August 2026 — 23,451 subscribers21 August 2026 — 23,444 subscribers23 August 2026 — 23,437 subscribers24 August 2026 — 23,420 subscribers25 August 2026 — 23,416 subscribers26 August 2026 — 23,413 subscribers27 August 2026 — 23,410 subscribers28 August 2026 — 23,330 subscribers29 August 2026 — 23,289 subscribers30 August 2026 — 23,284 subscribers31 August 2026 — 23,272 subscribers1 September 2026 — 23,252 subscribers2 September 2026 — 23,227 subscribers3 September 2026 — 23,145 subscribers6 September 2026 — 23,133 subscribers9 September 2026 — 23,117 subscribers11 September 2026 — 23,104 subscribers13 September 2026 — 23,087 subscribers15 September 2026 — 23,078 subscribers17 September 2026 — 23,016 subscribers25 September 2026 — 22,912 subscribers3 October 2026 — 22,788 subscribers8 October 2026 — 22,745 subscribers12 October 2026 — 22,713 subscribers14 October 2026 — 22,702 subscribers15 October 2026 — 22,691 subscribers16 October 2026 — 22,684 subscribers17 October 2026 — 22,682 subscribers18 October 2026 — 22,681 subscribers19 October 2026 — 22,678 subscribers20 October 2026 — 22,666 subscribers21 October 2026 — 22,658 subscribers22 October 2026 — 22,644 subscribers24 October 2026 — 22,621 subscribers24 October 2026 — 22,605 subscribers25 October 2026 — 22,590 subscribers26 October 2026 — 22,576 subscribers28 October 2026 — 22,564 subscribers29 October 2026 — 22,555 subscribers30 October 2026 — 22,506 subscribers7 August 202630 October 2026
52 measurements spanning 83 days, net -1,067. 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 22,346–23,733 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 52
Measured (UTC)SubscribersChange
30 Oct 2026, 03:1822,506-49
29 Oct 2026, 02:1022,555-9
28 Oct 2026, 00:3922,564-12
26 Oct 2026, 20:5622,576-14
25 Oct 2026, 22:5022,590-15
24 Oct 2026, 22:4022,605-16
24 Oct 2026, 00:1822,621-23
22 Oct 2026, 22:5922,644-14
21 Oct 2026, 21:5022,658-8
20 Oct 2026, 14:2122,666-12
19 Oct 2026, 10:4622,678-3
18 Oct 2026, 10:3622,681-1
17 Oct 2026, 09:0622,682-2
16 Oct 2026, 11:4722,684-7
15 Oct 2026, 08:5822,691-11
14 Oct 2026, 10:2122,702-11
12 Oct 2026, 20:5522,713-32
8 Oct 2026, 10:1722,745-43
3 Oct 2026, 22:5922,788-124
25 Sept 2026, 03:3722,912first reading

Engagement

22 posts held, back to 13 March 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 85 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.273%
avg views ÷ 22,506 subscribers
Avg views / post
61.5
2 posts measured
Reaction rate
20.3%
reactions ÷ views · ER floor
Posts in window
2
of 22 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 20 October 2026
Posts held22 (13 March 2026 – 20 October 2026)
Views total123
Reactions total25
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken21 Oct 2026, 08:11 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

Video runtime
12m 30s
Average length
1m 47s

Measured directly from 7 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

442 reactions across 22 posts, in 11 distinct kinds. The most used accounts for 31.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤14031.7%
⚡11726.5%
🔥7316.5%
❤‍🔥5813.1%
👍296.56%
🍾71.58%
👏71.58%
💯71.58%
🏆20.452%
🤩10.226%
🦄10.226%

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 22 of the 22 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 442 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 22 most recent posts we hold, published 13 March 2026 to 20 October 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

20 Oct 2026, 19:30 UTC33 views12 reactionsread 21 October 2026
Video

How many CLICKS does it take to launch a Sovereign AI collaboration between three INDEPENDENT organizations? Watch our demo and count for yourself! A healthcare data provider. An AI developer. A pharmaceutical company. Three organizations, each bringing something valuable: sensitive data, proprietary AI technology, and a business problem to solve. This demo shows how they can collaborate without exposing sensitiv…

❤‍🔥9💯2⚡1

14 Oct 2026, 12:00 UTC90 views13 reactionsread 21 October 2026
Photo

Sovereign AI has a gap that rarely makes the slide. A sovereign cloud solves a real problem. Data stays in the region, the operator is local, and exposure to foreign jurisdictions is reduced. Now count who may still have access to a client's data, model weights and prompts: the infrastructure operator and its admins, the model provider, the agent vendor, the integrator, the MSP. Each of them is held back by a cont…

👍6❤3❤‍🔥2💯2

18 Jun 2026, 14:34 UTC450 views9 reactionsread 21 October 2026
Photo

Zoom out on three announcements from the past month and a larger picture emerges. HPE made NVIDIA Confidential Computing available across its entire AI Factory portfolio – from sovereign deployments to private cloud AI – marking a shift from optional add-on to standard enterprise offering. Apple extended its Private Cloud Compute privacy guarantees to Google Cloud – the first time Apple trusted a public cloud with …

⚡6💯3

17 Jun 2026, 14:36 UTC313 views14 reactionsread 21 October 2026
Video

Congratulations to the Google Research Health AI Developer Foundations (HAI-DEF) team on the launch of the HAI-DEF Showcase. We're honored to see two confidential healthcare AI case studies developed by Yma Health and Super Protocol featured as the first entries in the "Technical Solutions and Tools" section of the showcase. The two case studies demonstrate how the open medical foundation model MedGemma 27B can be …

⚡7❤5🍾1🦄1

1 Jun 2026, 20:35 UTC243 views16 reactionsread 21 October 2026
Photo

This fall, Confidential Computing ships at rack scale. 72 GPUs. One TEE. NVIDIA announced Vera Rubin back in March. Now it's ramping to production. Currently, each server forms its own TEE boundary: up to 8 GPUs, 2.3 TB shared memory. Vera Rubin extends this to the entire rack – 72 GPUs, 20.7 TB of shared memory in one TEE. Imagine what model will fit in there! "Everything across this is secure because the AI mode…

👍8❤7⚡1

29 May 2026, 15:33 UTC199 views11 reactionsread 21 October 2026
Photo

More organizations think they have Confidential Computing than actually do. The CCC's new white paper "3 Degrees of Confidential Computing" makes this concrete: Level 1 migrating to Confidential VMs provides hardware isolation, but as the paper notes, “without integrating remote attestation, it does not meet the definition of Confidential Computing”. However, what is even more telling is the direction in which the …

👍7❤4

25 May 2026, 16:52 UTC174 views17 reactionsread 21 October 2026
Video

The feedback loop healthcare AI never got. A radiologist reviews a scan. The AI flags a suspicious mass. The patient is referred, biopsied, diagnosed. The physician closes the loop. The AI never does. Was the flag correct? Was it a false positive? The answer sits in a different EHR, a different department, sometimes a different institution – and arrives months later. Nobody systematically pipes that signal back to…

⚡11❤6

18 May 2026, 16:38 UTC162 views14 reactionsread 21 October 2026
Photo

"Born out of GPU scarcity, neoclouds now face a harder test." – McKinsey, November 2025 14–16% gross margin after depreciation. Lower than many non-tech retail businesses. The prescribed move is clear: orchestration, managed inference, platform layers. And the market is moving fast. But there’s something already inside the hardware that the stack race is overlooking. NVIDIA H100, H200, Blackwell – and every generat…

⚡7❤5❤‍🔥2

13 May 2026, 16:32 UTC170 views12 reactionsread 21 October 2026
Photo

The faster AI scales, the faster confidence in it erodes For nine years Stanford Human-Centered AI has tracked where AI actually stands and suggests where it’s heading across academia, industry, and government. The 2026 report is out. Here's what stood out. 𝗔𝗱𝗼𝗽𝘁𝗶𝗼𝗻 𝗶𝘀 𝗮𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗶𝗻𝗴. 𝗖𝗼𝗻𝗳𝗶𝗱𝗲𝗻𝗰𝗲 𝗶𝘀 𝗲𝗿𝗼𝗱𝗶𝗻𝗴. 70% of organizations now use AI in at least one business function. But look one layer deeper: 🔹 Among orgs that…

⚡6❤5❤‍🔥1

12 May 2026, 16:35 UTC139 views19 reactionsread 21 October 2026
Video

Ask a hospital to run AI on their patient data. The answer is always the same. A hospital, a GPU provider, and a medical AI vendor. Everyone has what the others need and none of them can just hand it over. The hospital won't send data to infrastructure they don't control. The vendor won't expose their model. The GPU provider can't take on liability for what runs on their hardware. The model never runs. The patient n…

🔥11❤3❤‍🔥3⚡2

4 May 2026, 15:15 UTC164 views20 reactionsread 21 October 2026
Photo

The system works – until you try to automate it. The trust domain spans every infrastructure, every organization. Data never leaves its sealed environment. Nobody depends on anyone else’s goodwill. And then the product team asks: can we automate this? AI agents are already operating on behalf of organizations – querying data, calling models, chaining actions across boundaries. Not one request at a time. Thousands p…

🔥8⚡4❤‍🔥4❤2👍2

30 Apr 2026, 16:16 UTC170 views23 reactionsread 21 October 2026
Photo

The first data collaboration works. Then your AI roadmap asks for ten more. One partnership took long enough that everyone forgot how it started – legal, compliance, integration, security review. The model trained, the results were good, and everyone moved on. Then the product team came back with more ideas. Every new partnership becomes its own project – not just operationally, but technically. Even with the same …

❤9🔥6👏4❤‍🔥3🤩1

Showing the 12 most recent of 22 posts we hold for @superprotocol_official. 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.

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 30 October 2026 — this entry's latest reading, not the date you are reading this.

“Super Protocol Announcements” (@superprotocol_official), 22,506 subscribers as measured 30 October 2026. Telegram Register, tgregister.com/channel/superprotocol_official.

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.