抓紧降配,甲骨文将对超出“新版‘永久免费’限制”的租户进行停机处理,8月18日起生效 甲骨文在最新发送的邮件中表示: 从 2026 年 8 月 18 日 开始,Oracle 将开始强制执行更新的永久免费计算限制。超出永久免费权益的计算实例将被自动终止。 当前的「永久免费」计算限制(影响基于ARM的服务器): • 最多 2 个 Ampere A1 OCPU • 最多 12 GB 内存 🔗 永久免费文档 如何降低配置(图文)? 1. 前往实例页面; 2. 点击需要降低配置的实例的详情页; 3. 在右上角的“操作菜单”中选择“编辑”; 4. 修改CPU和内存数量(最高2C12G); 5. 保存,重新引导实例; 6. 等待约5-20分钟(可能因磁盘大小存在差异),服务器会自动完成引导,并开机。 🗒 标签: #甲骨文 #Oracle 📢 频道: @GodlyNews1 🤖 投稿: @GodlyNewsBot

Channel
Link's Channel
@Link_Hyrule_Channel
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
230subscribers
-2 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 | -1002173350588 |
|---|---|
| Type | Channel |
| Username | @Link_Hyrule_Channel |
| Created | Between 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 15 August 2026 |
| On Telegram | t.me/Link_Hyrule_Channel |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 03:57 | 230 | -2 |
| 8 Aug 2026, 10:05 | 232 | no change |
| 7 Aug 2026, 16:22 | 232 | first reading |
Engagement
16 posts held, back to 7 May 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 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 29.3%
- avg views ÷ 230 subscribers
- Avg views / post
- 67.5
- 2 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 2
- of 16 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.
| Window | Rolling 30 days · latest post in window 4 August 2026 |
|---|---|
| Posts held | 16 (7 May 2026 – 4 August 2026) |
| Views total | 135 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 10:05 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.
Reaction mix
1 reaction across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1 | 100.0% |
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 16 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 1reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 7 May 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
Photo, posted without a caption
🙏阿里阿多
#分享 #Github 啊这👀 https://t.me/zaihuapd/42607
https://t.me/Lx_hub/680
#iOS #小组件 #Scripting Bing壁纸小组件 v1.0.3 ➡️增加了官方接口兜底机制 一键导入
从 0 搭建一个 AnyTLS 节点(Caddy 分流, 自动维护证书) 更新了一个入门 到入土 版 - 使用 Caddy 通配符证书, mholt/caddy-l4 sni 分流 - AnyTLS 不开 TLS, 靠 Caddy 自动维护证书 😭 原消息 🤭 服务器合集 🧐 合集 💬 群组 😄 恰饭 🥰联系推广 🥰 #anytls #mihomo #节点 #服务器 #协议
❤1
#分享 #Codex #Prompt 来源X: @hzlzh 的推文 请使用本机 Codex 凭证查一下 rate-limit reset credits: 读取 ~/.codex/auth.json 里的 tokens.access_token,请求接口: https://chatgpt.com/backend-api/wham/rate-limit-reset-credits 要求: 1. 不要打印 access_token、refresh_token、cookie 或完整唯一 ID 2. 只汇总 available_count、每个 credit 的 status/title/granted_at/expires_at 3. 把 granted_at/expires_at 从 UTC 转成本地时间 4. 如果状态码返回 401,说明是凭证失效或没带对 Authorization header
各大厂商请速速跟进👌
Loupe:App能看到什么 我觉得任何苹果用户都可以装一下来看看,苹果系统是如何泄露设备指纹的: Loupe按每项数据读取所需的访问权限多少来分类: -被动:任何App都能读取,完全没有提示,从时区、键盘语 言到电池和存储。 -需要权限:会触发iOS提示的读数,比如位置、通讯录、照片和运动与健身。 -高级:公开接口允许的旁路手段,比如检查你装了哪些 App、在隐藏的浏览器里做图形检测,以及一条能在重装App 后依然留存的记录。 源代码:https://github.com/mysk-research/loupe 商店:https://apps.apple.com/us/app/loupe-app%E8%83%BD%E7%9C%8B%E5%88%B0%E4%BB%80%E4%B9%88/id6766152470?l=zh-Hans-CN
两个程序员在一个 PR 用 AI 互相 review & fix,像是某种替身攻击。
Codex 重置雷达: 实时监控 Codex 用量重置窗口 感谢群友 nb5p 推荐 • 自动检测官方重置预告并精准标记速蹬窗口 • 提供 JSON 状态接口与 RSS 订阅,便于机器人和脚本集成 • 可视化历史窗口数据,帮助用户规划最大化使用价值 https://codex-reset-radar.pages.dev 🧐 合集 💬 群组 😄 恰饭 🥰联系推广 🥰#Codex #AI #OpenAI #使用限制 #实时监控 #Telegram分享
Showing the 12 most recent of 16 posts we hold for @Link_Hyrule_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.
Citation-graph rank
Citation-graph rank — 939,447 of 1,481,243entries 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
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.
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.
Names
Channels on the register whose handles appear in this channel's posts.
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 15 August 2026 — this entry's latest reading, not the date you are reading this.
“Link's Channel” (@Link_Hyrule_Channel), 230 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/Link_Hyrule_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.