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Channel

EOPEN|TORN Energy Channel

@eopen_channel

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

12subscribers

+0 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-1002325256428
TypeChannel
Username@eopen_channel
Created18 December 2024 — measured — dated from the channel’s first post
First recorded12 August 2026
Last confirmed live3 October 2026
Measurements held4
Confirmed unchanged4 times, most recently 3 October 2026
On Telegramt.me/eopen_channel

Topic

Other / unclassifiable — 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 2 October 2026 and assigned it the closest of 31 fixed categories, at 60% 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 why it has no browse page of its own yet.

Growth

121312.57 August 2026 — 12 subscribers12 August 2026 — 12 subscribers15 August 2026 — 13 subscribers1 September 2026 — 12 subscribers7 August 20261 September 2026
4 measurements spanning 24 days. 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 12–13 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
1 Sept 2026, 00:2912-1
15 Aug 2026, 16:1313+1
12 Aug 2026, 05:4612no change
7 Aug 2026, 21:0212first reading

Engagement

4 posts held, back to 18 December 2024 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page 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 4 posts for this entry, the most recent from 13 March 2025. An engagement rate over an empty window would be a number about nothing.

Reaction mix

296 reactions across 2 posts, in 12 distinct kinds. The most used accounts for 21.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🥰6321.3%
❤5518.6%
🔥4314.5%
👌3311.1%
👍206.76%
👏206.76%
🤩175.74%
🐳165.41%
❤‍🔥93.04%
😁93.04%
🎉62.03%
💯51.69%

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 2 of the 4 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 296 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 4 most recent posts we hold, published 18 December 2024 to 13 March 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

13 Mar 2025, 10:47 UTC≈1,340 views165 reactionsread 12 August 2026

🔋 Why Choose the EOPEN Energy Rental Trading Platform? 💡 Energy is a resource on the TRON blockchain, required as gas fees for transactions. Without sufficient energy, your wallet will consume TRX as transaction fees. 🔥 Rent 65,000 Energy for just 3 TRX! Compared to the usual 15-100 TRX spent on direct transfers, you can save up to 80%! 💳 Each transfer requires around 64,000 Energy (equivalent to 15 TRX ≈ 4 USDT).…

🥰59❤44🔥19🤩17👏14👍12

29 Dec 2024, 09:26 UTC≈3,700 views131 reactionsread 12 August 2026

🔋 为什么选择 EOPEN 能量租赁交易平台? 💡 能量是TRON链上的一种资源,能量是进行波场转账时的矿工费。如果没有足够的能量,钱包转账将消耗你的 TRX 作为手续费。 🔥 仅需 3 TRX 即可租赁 65,000 能量,相比于直接转账时消耗的 15-100 TRX,节省高达 80%! 💳 每次转账大约需要 64,000 能量(相当于 15 TRX ≈ 4 USDT)。如果对方钱包中没有 USDT,则需要 128,000 能量。 ✅ 租用能量后,无需再扣除高额的转账手续费!收回能量后转账时请注意手续费,以免造成资金损失。 🌟如果您有自己的场景,我们也提供了稳定了能量API,为您的业务做最大值支持。 🌟 联系客服:@eopenio

👌33🔥24🐳16❤11❤‍🔥9😁9👍8🎉6

Showing the 4 most recent of 4 posts we hold for @eopen_channel. 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 September 2026 — this entry's latest reading, not the date you are reading this.

“EOPEN|TORN Energy Channel” (@eopen_channel), 12 subscribers as measured 1 September 2026. Telegram Register, tgregister.com/channel/eopen_channel.

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.