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Channel

Block Accelerator

@BlockAccelerator

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

136subscribers

-11 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002131995672
TypeChannel
Username@BlockAccelerator
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live29 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 29 August 2026
On Telegramt.me/BlockAccelerator

Growth

136147141.57 August 2026 — 147 subscribers8 August 2026 — 147 subscribers14 August 2026 — 140 subscribers21 August 2026 — 138 subscribers29 August 2026 — 136 subscribers7 August 202629 August 2026
5 measurements spanning 22 days, net -11. 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 134–149 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
29 Aug 2026, 03:26136-2
21 Aug 2026, 11:16138-2
14 Aug 2026, 21:28140-7
8 Aug 2026, 20:45147no change
7 Aug 2026, 13:59147first reading

Engagement

20 posts held, back to 17 July 2024the 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 20 posts for this entry, the most recent from 12 August 2025. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
12s
Average length
12s

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

201 reactions across 12 posts, in 10 distinct kinds. The most used accounts for 19.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍4019.9%
🎉3316.4%
🔥2813.9%
😁2512.4%
👏2210.9%
🥰2210.9%
199.45%
🌭94.48%
🥱20.995%
😴10.498%

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 12 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 201reactions 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 17 July 2024 to 12 August 2025, 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

12 Aug 2025, 06:21 UTC413 viewsread 8 August 2026

🚀 A Glimpse into Middleware Innovation 🔍✨ Our next-gen middleware 🖥️🤖 is crafted to supercharge ⚡ the connection between AI models 🧠 and hardware 💻🔌. It’s the smart bridge 🌉 that keeps data flowing 📡📊 seamlessly, cutting through computational bottlenecks 🛑⚙️ and powering faster, more efficient AI inference 📈📥 and training 🏋️‍♂️📚. With it, your AI runs smoother 🏎️💨, thinks faster 🧩⚡, and works smarter 🤓💡—because ever

22 Jul 2025, 08:20 UTC424 viewsread 8 August 2026
Photo

In an increasingly digital world, knowing who or what to trust is harder than ever. That makes trust one of the most valuable resources of our time. And at the center of it all: @solana , the base layer of the future global economy. 🧵

7 Feb 2025, 15:53 UTC187 viewsread 8 August 2026
Photo

🚀 Faster AI Training 🚀 A standout feature of our middleware innovation is its ability to accelerate AI model training at lightning speed ⚡. By removing obstacles and streamlining data processing 🔄, it drastically cuts down the time needed for training ⏱️. This means developers can experiment and innovate with much more agility 💡🔧—leading to faster breakthroughs and progress in AI development! 💥

4 Feb 2025, 09:13 UTC565 viewsread 8 August 2026
Photo

In the ever-evolving world of AI development, we’re excited to offer the most cost-effective cloud compute resources on the planet 🌍, thanks to our decentralized network. Today, we’re thrilled to share a game-changing middleware innovation that will forever transform how cloud compute is used ⚡. This cutting-edge technology is engineered to supercharge AI inference and training, making these processes faster, more

28 Dec 2024, 10:53 UTC≈2,510 viewsread 8 August 2026

💡 Did you know? The global compute market is valued at over $500 billion! 🌍💰 With BlockAccelerator’s 65k GPUs, you’re not just investing—you’re building the backbone of AI innovation.

22 Dec 2024, 14:45 UTC≈2,800 views6 reactionsread 8 August 2026

💻✨ What if the future of AI compute could fit in your pocket for just $1? 🤯 BlockAccelerator is tokenizing 65K GPUs, turning $500B+ of AI compute power into a currency anyone can hold. 🚀 Join the AI Compute Economy today! #AI #Blockchain #FutureFinance

🌭6

26 Nov 2024, 14:53 UTC≈3,050 views3 reactionsread 8 August 2026
Photo

High-Power Digital Infrastructure Designed and Built Specifically for Your Requirements

🌭3

22 Oct 2024, 17:03 UTC≈2,780 viewsread 8 August 2026

BLA is pushing the boundaries of AI performance, optimizing both hardware and middleware layers. WE Build GPUs WE Build GPU Machines WE Build GPU Clusters WE Build AI Ready Data Centers We're transforming consumer GPUs to perform at 4x their normal capacity, ensuring unparalleled efficiency and power. This isn't just optimization; it's revolutionizing the AI landscape.

8 Aug 2024, 10:50 UTC≈2,280 viewsread 8 August 2026
Photo

📌BLA Seamless Integration Our middleware is designed for effortless integration into existing AI workflows. Developers can easily integrate it into existing systems without extensive overhauls. The rapidly evolving field of AI development is further advanced by our middleware innovation, underscoring our commitment to high performance and cost-effectiveness. With its ability to accelerate AI inference and training,

8 Aug 2024, 08:47 UTC≈1,980 viewsread 8 August 2026
Video

“To build and run a large NVIDIA training cluster takes a lot of skill." -Elon Our team of domain experts have walked through the fire necessary to run cluster of thousands of NVIDIA H100 GPUS. This barrier alone makes running compute incredibly difficult and rare. #domainexperts

Showing the 12 most recent of 20 posts we hold for @BlockAccelerator. 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 — 1,591,994 of 1,629,372entries 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 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 29 August 2026 — this entry's latest reading, not the date you are reading this.

“Block Accelerator” (@BlockAccelerator), 136 subscribers as measured 29 August 2026. Telegram Register, tgregister.com/channel/BlockAccelerator.

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.