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Channel

Openfabric AI - Announcements

@OpenFabricAIAnn

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

7,931subscribers

-936 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-1001397819922
TypeChannel
Username@OpenFabricAIAnn
CreatedBetween 1 October 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live1 November 2026
Measurements held24
Confirmed unchanged1 time, most recently 1 November 2026
On Telegramt.me/OpenFabricAIAnn

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 11 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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

7,9318,8678,3997 August 2026 — 8,867 subscribers7 August 2026 — 8,867 subscribers7 August 2026 — 8,859 subscribers10 August 2026 — 8,843 subscribers14 August 2026 — 8,828 subscribers17 August 2026 — 8,806 subscribers20 August 2026 — 8,800 subscribers24 August 2026 — 8,780 subscribers27 August 2026 — 8,764 subscribers30 August 2026 — 8,747 subscribers2 September 2026 — 8,738 subscribers7 September 2026 — 8,715 subscribers11 September 2026 — 8,698 subscribers15 September 2026 — 8,685 subscribers25 September 2026 — 8,644 subscribers4 October 2026 — 8,607 subscribers11 October 2026 — 8,581 subscribers14 October 2026 — 8,561 subscribers18 October 2026 — 8,526 subscribers20 October 2026 — 8,509 subscribers23 October 2026 — 8,147 subscribers26 October 2026 — 7,984 subscribers30 October 2026 — 7,956 subscribers1 November 2026 — 7,931 subscribers7 August 20261 November 2026
24 measurements spanning 87 days, net -936. 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 7,791–9,007 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 24
Measured (UTC)SubscribersChange
1 Nov 2026, 23:497,931-25
30 Oct 2026, 03:517,956-28
26 Oct 2026, 18:317,984-163
23 Oct 2026, 23:288,147-362
20 Oct 2026, 21:198,509-17
18 Oct 2026, 01:118,526-35
14 Oct 2026, 14:478,561-20
11 Oct 2026, 05:018,581-26
4 Oct 2026, 21:588,607-37
25 Sept 2026, 18:578,644-41
15 Sept 2026, 01:208,685-13
11 Sept 2026, 09:598,698-17
7 Sept 2026, 00:378,715-23
2 Sept 2026, 10:588,738-9
30 Aug 2026, 21:058,747-17
27 Aug 2026, 18:548,764-16
24 Aug 2026, 09:158,780-20
20 Aug 2026, 11:128,800-6
17 Aug 2026, 18:048,806-22
14 Aug 2026, 03:488,828first reading

Engagement

20 posts held, back to 12 December 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 29 pages of 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 20 posts for this entry, the most recent from 13 February 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
1m 02s
Average length
1m 02s

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

5,228 reactions across 20 posts, in 8 distinct kinds. The most used accounts for 15.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👏80015.3%
🔥76214.6%
👍75514.4%
❤75014.3%
🥰73114.0%
🎉72313.8%
🤩70613.5%
👀10.019%

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 20 of the 20 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 5,228 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 12 December 2025 to 13 February 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

13 Feb 2026, 17:15 UTC≈3,140 views208 reactionsread 28 August 2026
Photo

Level up your content game with Free AI tools built for creators 🚀 Discover powerful Apps in the Openfabric AI Marketplace. (https://openfabric.network) From text-to-image and fact checker to image upscaling, 3D models, and AI avatars. Create faster, scale smarter, and keep your brand voice consistent. Less grind. More creativity. Read more 👇 https://openfabric.ai/blog/top-free-ai-content-tools-in-openfabric-ai-…

👍40👏33🎉32🤩29🔥28🥰27❤18👀1

Signed @Moderator .

10 Feb 2026, 15:02 UTC≈2,460 views203 reactionsread 28 August 2026
Photo

Code Mate isn’t just a coding assistant. It turns natural language into executable simulations — automatically. Now imagine AI agents triggering those simulations on their own: test → compute → adapt → repeat. That’s the kind of execution layer Openfabric is built for. Try it → https://openfabric.network

👏41🔥32🎉30🤩30❤28🥰25👍17

Signed @Moderator .

5 Feb 2026, 15:08 UTC≈2,810 views206 reactionsread 28 August 2026
Photo

Major AI platforms are rolling out automation tools for non-technical users. But centralization comes with limits: compute, data, and interoperability are locked in. Openfabric’s protocol-first, decentralized environment lets AI agents and workflows run across networks, no single platform required. 👉 https://openfabric.network

🔥38🤩34👏33👍30🎉29❤24🥰18

Signed @Moderator .

30 Jan 2026, 15:05 UTC≈2,820 views201 reactionsread 28 August 2026
Photo

LLM Evals aren’t optional, they’re foundational. Take a deep dive into LLM evaluation methodologies, from human reviews to adversarial testing. Learn why evaluating large language models matters before you deploy. 👉 Read the full article: https://openfabric.ai/blog/llm-evaluation-methodologies-a-deep-dive-into-llm-evals

🥰36👏31👍30🤩30❤26🔥25🎉23

Signed @Moderator .

27 Jan 2026, 15:52 UTC≈2,960 views252 reactionsread 28 August 2026
Photo

AI agents aren’t just chatbots with memory. They require secure execution, coordination, and access to decentralized compute. Openfabric provides the execution environment and protocol layer for agent-based systems to operate across distributed infrastructure. Agents need protocols. Openfabric provides one. 👉https://openfabric.network/

❤43🎉43🥰40👍37🤩32👏31🔥26

Signed @Moderator .

23 Jan 2026, 15:04 UTC≈3,110 views253 reactionsread 28 August 2026
Photo

Everyone’s using AI. Almost no one owns it. Openfabric flips the script. Own the model. Own the compute. Own the data. 👉👉https://openfabric.network/

❤42🤩38🥰37👏35🔥35🎉33👍33

Signed @Moderator .

20 Jan 2026, 15:02 UTC≈2,850 views252 reactionsread 28 August 2026
Photo

AI is entering its infrastructure era. The last cycle was about models, demos, and hype. This cycle is about reliability, coordination, and real deployment. That’s why Openfabric AI focuses on: • decentralized execution • interoperable AI agents • research-backed protocol design When AI moves from experiments to production, infrastructure matters more than features. This is what we’ve been building toward. 👉http…

👍43❤41👏40🥰39🔥33🤩30🎉26

Signed @Moderator .

14 Jan 2026, 15:00 UTC≈1,790 views251 reactionsread 28 August 2026
Photo

Infrastructure ✅ Marketplace ✅ Layer-1 Blockchain ✅ Grants Program ✅ Multiple AI Tools ✅ Multi-Agent System ✅ Built for AI. Designed as one protocol. All in one ☝️ 👉 https://openfabric.ai

👏46🎉38❤36🔥36🤩36🥰35👍24

Signed @Moderator .

12 Jan 2026, 15:01 UTC≈2,810 views253 reactionsread 28 August 2026
Photo

We’re excited to announce that our latest scientific research has been published on Springer 📘🥳 This work explores secure execution and virtualization technologies, a critical foundation for building reliable and decentralized AI systems at scale. Research like this underpins the design principles behind Openfabric AI - where security, trust, and decentralization are built from the ground up. Read the research cha…

👏46👍41❤39🎉38🤩33🔥28🥰28

Signed @Moderator .

9 Jan 2026, 15:02 UTC≈2,760 views250 reactionsread 28 August 2026
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AI is reshaping Drug Discovery, from smarter molecule design to faster, safer clinical trials. 💊 It’s helping reduce costs, shorten development timelines, and support more precise, patient-centered treatments, marking a new era in healthcare innovation. 🔗 https://openfabric.ai/blog/ai-in-drug-discovery-and-development-a-dream-becoming-reality

🔥42👏39🥰39❤34👍33🤩33🎉30

Signed @Moderator .

7 Jan 2026, 15:00 UTC≈2,930 views203 reactionsread 28 August 2026
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Why Decentralization Matters Now? Centralized AI failed quietly. Regulation arrived loudly. That’s the signal. Decentralization is no longer a theory , it’s a necessity. Openfabric AI enables transparent, composable, and resilient AI systems. The future of AI is protocols, not platforms.

🥰37🎉35👏29🤩27👍26🔥25❤24

Signed @Moderator .

5 Jan 2026, 15:04 UTC≈3,860 views302 reactionsread 28 August 2026
Photo

🚀 AI in 2026 is about value: real-world impact. Benchmarks and demos are no longer enough. The solutions that win are the ones that deliver measurable ROI, practical utility, and long-term results. That’s exactly the space Openfabric AI is built for! Research-driven, infrastructure-first, and designed for adoption at scale. The era of practical AI has begun.

❤57👍49🔥45🎉41🤩39🥰36👏35

Signed @Moderator .

Showing the 12 most recent of 20 posts we hold for @OpenFabricAIAnn. 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 1 November 2026 — this entry's latest reading, not the date you are reading this.

“Openfabric AI - Announcements” (@OpenFabricAIAnn), 7,931 subscribers as measured 1 November 2026. Telegram Register, tgregister.com/channel/OpenFabricAIAnn.

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.