Telegram RegisterThe public register of Telegram

Channel

Fluence

@fluence_official

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

78,848subscribers

-627 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-1002198136979
TypeChannel
Username@fluence_official
DescriptionFluence is a DePIN cloudless computing platform that provides resilient, open, and low-cost alternatives to traditional cloud computing GROUP: @fluence_project ALL LINKS: https://linktr.ee/fluencenetwork EARN $FLT: https://pointless.fluence.network/
CreatedBetween 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/fluence_official

Growth

78,84879,47579,161.56 August 2026 — 79,475 subscribers6 August 2026 — 79,475 subscribers6 August 2026 — 79,439 subscribers7 August 2026 — 79,321 subscribers8 August 2026 — 79,206 subscribers9 August 2026 — 79,143 subscribers10 August 2026 — 79,063 subscribers11 August 2026 — 78,954 subscribers12 August 2026 — 78,848 subscribers6 August 202612 August 2026
9 measurements spanning 6 days, net -627. 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 78,754–79,569 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 10:2478,848-106
11 Aug 2026, 07:4378,954-109
10 Aug 2026, 11:0379,063-80
9 Aug 2026, 09:5279,143-63
8 Aug 2026, 10:1879,206-115
7 Aug 2026, 09:1379,321-118
6 Aug 2026, 09:1079,439-36
6 Aug 2026, 01:3479,475no change
6 Aug 2026, 01:0079,475first reading

Engagement

20 posts held, back to 6 February 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
0.6%
avg views ÷ 78,848 subscribers
Avg views / post
473
1 post measured
Reaction rate
1.90%
reactions ÷ views · ER floor
Posts in window
1
of 20 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 4 August 2026
Posts held20 (6 February 20264 August 2026)
Views total473
Reactions total9
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 18:53 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
230
Videos
61
Links
398

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
1m 29s
Average length
13s

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

283 reactions across 20 posts, in 10 distinct kinds. The most used accounts for 32.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥9332.9%
👍6523.0%
5920.8%
👏4214.8%
🍌93.18%
😁51.77%
🥰51.77%
🤩20.707%
🤯20.707%
😢10.353%

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 283reactions 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 6 February 2026 to 4 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

4 Aug 2026, 21:26 UTC473 views9 reactionsread 12 August 2026
Video

Introducing GPU Cluster Auctions — a new way to source reserved GPU capacity on Fluence ⚡ Instead of going back and forth with providers to understand what’s available and at what price, post your requirements once and let providers bid for your request. Compare offers side by side across price, SLA, fabric, deployment model, and availability. With short bidding windows, auctions enable GPU cluster price discovery

6👏3

13 May 2026, 14:36 UTC≈1,330 views24 reactionsread 12 August 2026
Photo

Fluence DAO governance is moving to our native Token App 🧑‍⚖️ You now can vote, create proposals, and follow DAO updates natively in Token App, instead of Tally (as it's being shutting down) Try now 👉 flt.fluence.network/governance

🔥119🥰4

20 Apr 2026, 21:05 UTC≈1,520 views18 reactionsread 12 August 2026
Photo

We just released Persistent Storage Volumes and Public IP management in Fluence Console 💽 You can now attach persistent disks to virtual machines and create public IPs directly in the Console, making it easier to run a wider range of workloads on Fluence, including: > databases and other stateful services; > backend applications with persistent data; > long-lived development and staging environments; > services tha

9🔥9

10 Apr 2026, 17:28 UTC≈1,530 views10 reactionsread 12 August 2026
Photo

Fluence DAO Q1’26 report is out! 🧮 Vesting for Fluence investors, team, advisors, and founders has been completed, a new staking contract has been rolled out, and the rollup has been wound down. Check the full breakdown of DAO spend, remaining treasury balances, allocation, circulating supply, and liquidity management in Q1 of 2026

5🔥5

1 Apr 2026, 17:06 UTC≈1,460 views14 reactionsread 12 August 2026

The asset migration from Fluence Rollup to Ethereum L1 has been successfully completed ✅ All FLT and USDC balances have been automatically migrated to Ethereum L1, and pFLT has been converted to FLT on Ethereum L1 at a 1:1 ratio. You can now claim your funds via the Migration Tool and stake them. ⚠️ The claim window will remain open until 1 April 2027

👍14

31 Mar 2026, 21:00 UTC≈1,040 views10 reactionsread 12 August 2026

Fluence is sharpening its focus on AI and GPU infrastructure 💻 That shift is followed by major changes to the Fluence platform: ▫️FLT Upgrade for the Next Phase ▫️Fluence Rollup Sunset ⚠️ Asset Migration from Fluence Rollup to Ethereum L1 [action required from Apr 1st 2026 to April 1st 2027] ▫️FLT Staking on Ethereum is live in Token App ▫️Provider Incentives Completion Learn more in our latest blog article👇

7👍3

27 Mar 2026, 20:48 UTC954 views17 reactionsread 12 August 2026
Photo

⚡️ Excited to share another great project built on Fluence! ⚙️ Fine-tuning DeepSeek-R1 for Smart Contract Security by Nishant Pandav. ▫️Nishant fine-tuned DeepSeek-R1-Distill-Qwen-7B for smart contract vulnerability detection using GRPO + LoRA on a single A100 80GB. ▫️ The biggest gain was vulnerable vs clean classification and structured output reliability, improving first-pass screening and integration. ▫️ Fine-g

9👏5🔥3

20 Mar 2026, 08:38 UTC986 views8 reactionsread 12 August 2026
Photo

🎙️🔥 DePINed Podcast: Episode 79 with Francis Otshudi, iExec 📌 Topic: iExec and the Future of Web3 Privacy: Bringing Confidentiality On-Chain. 🧷 In the latest episode of the DePINed Podcast, Tom Trowbridge speaks with Francis Otshudi, CTO of iExec, about why privacy is no longer optional. As more institutions explore blockchain infrastructure, the need to protect sensitive data and transaction details becomes essent

👍62

6 Mar 2026, 11:24 UTC≈1,180 views10 reactionsread 12 August 2026
Photo

🎙️🔥 DePINed Podcast: Episode 78 with Alex Busarov, Heatbit 📌 Topic: Bitcoin mining as Home heat: turning compute into a consumer product. 🧷 During the DePINed Podcast episode, Heatbit founder Alex Busarov discussed how this shift shaped the company’s thinking. Rather than competing with large industrial mining operations directly, Heatbit focuses on a different approach — bringing mining back into everyday environm

🔥91

27 Feb 2026, 15:41 UTC≈1,170 views17 reactionsread 12 August 2026
Photo

🚨We have a limited allocation of NVIDIA B200 SXM GPU nodes available from March 15 B200 is built for large-scale training, high-throughput inference, and HPC — delivering higher memory bandwidth and throughput for next-gen AI workloads. 🌎 Region: Asia 📄 Available contracts: 12 & 24 months ✍️ Priority allocation & better pricing for longer commits Hurry up! Reply if you’re interested 📥

🔥9👏5👍3

26 Feb 2026, 18:57 UTC≈1,030 views19 reactionsread 12 August 2026
Video

⚡️ New website is live with full GPU access available for new users! We’re excited to announce that Fluence Console is now open for instant access to GPU Containers, Virtual Machines, and Bare Metal deployments. 🔜 Go to the Console 🔚 🌎 Get easy access to 1400+ GPUs across 32 regions and 71 data centers now: 1️⃣ Sign up via GitHub, Google, or Email. 2️⃣ Top up your balance. 3️⃣ Deploy your first workload! 🔜Read m

🔥11👍4👏4

19 Feb 2026, 21:06 UTC≈1,120 views15 reactionsread 12 August 2026
Photo

🔥 Automating OpenClaw Deployment with Clawify and Fluence Clawify.xyz sets up and deploys Openclaw on decentralized infrastructure. Pick your AI model, paste your bot token, and you're live. 🔧 Powered by Fluence Virtual Servers, Clawify delivers cost-effective, censorship-resistant compute without vendor lock-in. This case study shows how builders can focus entirely on agent logic and features while getting standa

6🔥6🍌2👏1

Showing the 12 most recent of 20 posts we hold for @fluence_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.

Citation-graph rank

Citation-graph rank — 829,176 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

Republishes

Channels on the register whose posts this channel has forwarded.

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.

“Fluence” (@fluence_official), 78,848 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/fluence_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.