如有乐享 Amazon Lightsail香港区测评:5美元轻量服务器值得买吗
😁5

Channel
@ruyoblog
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
23,906subscribers
+121 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001117480027 |
|---|---|
| Type | Channel |
| Username | @ruyoblog |
| Created | 11 August 2017 — measured — cross-checked against a third-party dataset (TGDataset) |
| First recorded | 6 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 30 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/ruyoblog |
Technology — a classification, not a measurement. 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 18:17 | 23,906 | +3 |
| 16 Sept 2026, 12:41 | 23,903 | +2 |
| 14 Sept 2026, 19:58 | 23,901 | +1 |
| 13 Sept 2026, 06:59 | 23,900 | +6 |
| 11 Sept 2026, 10:39 | 23,894 | +19 |
| 8 Sept 2026, 18:58 | 23,875 | +10 |
| 5 Sept 2026, 14:20 | 23,865 | +1 |
| 2 Sept 2026, 07:58 | 23,864 | +5 |
| 31 Aug 2026, 04:57 | 23,859 | +9 |
| 30 Aug 2026, 07:38 | 23,850 | -1 |
| 29 Aug 2026, 09:14 | 23,851 | +4 |
| 28 Aug 2026, 12:23 | 23,847 | +2 |
| 27 Aug 2026, 08:49 | 23,845 | -2 |
| 26 Aug 2026, 10:08 | 23,847 | +7 |
| 25 Aug 2026, 06:46 | 23,840 | -1 |
| 22 Aug 2026, 15:49 | 23,841 | +13 |
| 21 Aug 2026, 09:35 | 23,828 | +12 |
| 20 Aug 2026, 08:12 | 23,816 | +10 |
| 18 Aug 2026, 12:22 | 23,806 | +3 |
| 15 Aug 2026, 20:48 | 23,803 | first reading |
69 posts held, back to 23 July 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 58 pages of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 3 September 2026 |
|---|---|
| Posts held | 69 (23 July 2026 – 3 September 2026) |
| Views total | 132,470 |
| Reactions total | 441 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 10:53 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.
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.
1,116 reactions across 68 posts, in 23 distinct kinds. The most used accounts for 62.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 😁 | 698 | 62.5% | |
| 🤡 | 112 | 10.0% | |
| 🍾 | 81 | 7.26% | |
| ❤ | 76 | 6.81% | |
| 😇 | 49 | 4.39% | |
| 👍 | 29 | 2.60% | |
| 🤷♂ | 21 | 1.88% | |
| 🐳 | 8 | 0.717% | |
| 😨 | 8 | 0.717% | |
| 💊 | 6 | 0.538% | |
| 🎉 | 5 | 0.448% | |
| 👎 | 5 | 0.448% | |
| 😍 | 4 | 0.358% | |
| 🖕 | 2 | 0.179% | |
| 😱 | 2 | 0.179% | |
| 🤬 | 2 | 0.179% | |
| 🫡 | 2 | 0.179% | |
| 🌚 | 1 | 0.09% | |
| 👏 | 1 | 0.09% | |
| 😭 | 1 | 0.09% | |
| 3 further kinds | 3 | 0.269% |
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 69 of the 69 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 1,118 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 69 most recent posts we hold, published 23 July 2026 to 3 September 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.
如有乐享 Amazon Lightsail香港区测评:5美元轻量服务器值得买吗
😁5
分享昨天俩个“趣”事儿。 1,一个做产品设计的朋友的朋友圈,几分钟就实现了一个功能页面,感叹“还学啥编程?” 2,另一个网友想花钱让我写个功能,他说AI代码都生成好了,但是他不会部署 胸弟焖,目前跨行搞东西的话,门槛还是不少的😅
😁12❤1🤡1
活动优惠 上海电信:0元云电脑精英版
😁2
反重力支持Gemini 3.8 Flash了!
😁5🤯1
Amazon Lightsail 新增了 香港数据中心! —— 网络一般~
😁12❤1
🎂 轻量云六周年庆重磅回馈 🔥 轻友感恩回馈,老用户续费低至 1 折 5 年及以上轻友专享,全年仅 1 次 续完再拼个团,还能加赠时长 ⬆️ 免费升配权益,限时回归 2核4G 可免费升配 4核4G(中国内地地域入门型套餐) ⚠️ 顺序别搞反:先享同价续费,再去升配——升配后就不再享同价续费活动价了 🛒 六周年庆 · 新购特惠 2核~8核 热卖机型新购低至 4.5 折,建站、开发测试、小程序、个人项目都够用,还能叠拼团加赠时长 🎁 顺手抽个奖:AI 送祝福,抽 1666 台云实例 👉 前往参与:https://curl.qcloud.com/Ksk33wfK
😁4
看了一会《后西游记》就放弃了。 1,镜头切来切去好乱,总是出现BUG镜头 2,对猴子脸盲,就像看老外剧情片一样 3,对猴子无好感(峨眉山的猴子) 4,咋AI特别钟意炒孙悟空的IP 5,感觉AI适合短剧,上来就是干。长时间的剧情感觉无聊
😁13❤1
这个事情有后续吗?😂
😁20
波区自动扣费成功!
😁9❤1
《中国人口出生率再次回落》
🍾76😁12🎉5🤔1🥰1
要重置?
😁14
资讯消息 动荡的 AI 时代已经到来:我们现在的选择至关重要
🤡3😁2
Showing the 12 most recent of 69 posts we hold for @ruyoblog. 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.
@ruyoblog edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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.
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“如有乐享” (@ruyoblog), 23,906 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/ruyoblog.
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.