地址
开源地址: https://github.com/ericzhang-debug/z80cemu 求个 star 。 最近周末开发了一套完整的基于 Z80 CPU 通用模拟平台,包含一部分的外设和调试工具。许多 8 位的游戏机都是基于这个 CPU 平台运行的,里面也包含一部分主机模板。 因为定位于 Z80 的通用模拟,所以在里面可以轻而易举的定制自己的主机,只需要复制样例的配置文件,修改存储关系,像连线一样组装外设,遇到没有的外设完全可以将模板交给 AI 来实现。目前里面已经实现了: Z80v2 、TP801 、VtechLaser310 、MSX 等, 外设目前支持声音、串口、打印机、磁带、EPROM 编程器等。 运行截图:
This explanation quotes or summarizes the cited source record. Saving creates a bookmark on this device, with no automatic account sync.
- First observed in our collection
- Oct 21, 2026, 10:15 AM UTC
- Earliest cited publication
- Oct 21, 2026, 9:18 AM UTC
- Last observed
- Nov 1, 2026, 12:00 PM UTC
Evidence in the last complete seven days
- Source mentions
- 2 Previous seven days 2
- Distinct sources
- 1 Previous 1
- Comparable growth
- Not comparable
- Ranking appearances
- 0
Collection observations and undated records are separate from dated publication counts. Observed in 7d:2 · Undated records:0
Collection coverage · Limited historyCurrent / previous observed days 7 / 3
Counts use complete UTC days. First observed means first seen by this collection, not when a term was coined.
Current window:2026-10-29 → 2026-11-05 (end excluded) · History 11 days
| Source | Current days | Previous days | Last success |
|---|---|---|---|
| arXiv | 6 | 3 | Nov 5, 2026, 10:00 AM UTC |
| arXiv | 7 | 2 | Nov 5, 2026, 10:01 AM UTC |
| Ask HN | 7 | 3 | Nov 5, 2026, 3:00 PM UTC |
| Ask HN | 7 | 3 | Nov 5, 2026, 2:30 PM UTC |
| Ask HN | 7 | 3 | Nov 5, 2026, 3:00 PM UTC |
| Ask HN | 7 | 3 | Nov 5, 2026, 3:00 PM UTC |
| GitHub | 7 | 3 | Nov 5, 2026, 12:15 PM UTC |
| GitHub Issues | 7 | 3 | Nov 5, 2026, 10:01 AM UTC |
| GitHub Releases | 7 | 1 | Nov 5, 2026, 12:00 PM UTC |
| GitHub | 7 | 3 | Nov 5, 2026, 2:30 PM UTC |
| GitHub Issues | 7 | 3 | Nov 5, 2026, 10:01 AM UTC |
| GitHub Releases | 7 | 3 | Nov 5, 2026, 3:14 PM UTC |
| GitHub | 7 | 3 | Nov 5, 2026, 2:30 PM UTC |
| GitHub Issues | 7 | 3 | Nov 5, 2026, 10:01 AM UTC |
| GitHub Releases | 7 | 3 | Nov 5, 2026, 3:14 PM UTC |
| GitHub Discovery | 0 | 0 | Nov 5, 2026, 3:13 PM UTC |
| GitHub Trending | 7 | 3 | Nov 5, 2026, 3:14 PM UTC |
| 7 | 2 | Nov 5, 2026, 10:00 AM UTC | |
| Hugging Face | 7 | 2 | Nov 5, 2026, 8:15 AM UTC |
| Hugging Face Spaces | 0 | 0 | Nov 5, 2026, 3:13 PM UTC |
| Hacker News | 7 | 3 | Nov 5, 2026, 12:45 PM UTC |
| Hacker News | 7 | 3 | Nov 5, 2026, 3:30 PM UTC |
| Hacker News | 7 | 3 | Nov 5, 2026, 3:30 PM UTC |
| Hacker News | 0 | 0 | Nov 5, 2026, 3:13 PM UTC |
| Show HN | 0 | 0 | Nov 5, 2026, 3:13 PM UTC |
| MIT News | 7 | 2 | Nov 5, 2026, 10:01 AM UTC |
| OpenAI | 7 | 3 | Nov 5, 2026, 11:30 AM UTC |
| Product Hunt | 7 | 3 | Nov 5, 2026, 12:45 PM UTC |
| 量子位 | 7 | 3 | Nov 4, 2026, 10:15 AM UTC |
| OpenRouter | 0 | 0 | Nov 5, 2026, 3:41 PM UTC |
| Hugging Face Models | 0 | 0 | Nov 5, 2026, 3:41 PM UTC |
| HF Daily Papers | 0 | 0 | Nov 5, 2026, 3:41 PM UTC |
| OpenRouter | 0 | 0 | Nov 5, 2026, 3:41 PM UTC |
| SEC EDGAR | 7 | 3 | Nov 5, 2026, 10:30 AM UTC |
| Sequoia Capital | 7 | 2 | Nov 5, 2026, 10:00 AM UTC |
| Simon Willison | 0 | 0 | Nov 5, 2026, 3:13 PM UTC |
| TechCrunch | 7 | 3 | Nov 5, 2026, 2:30 PM UTC |
| Contracts Finder | 7 | 3 | Nov 5, 2026, 10:00 AM UTC |
| V2EX | 7 | 3 | Nov 5, 2026, 2:30 PM UTC |
- Counts describe monitored public sources, not the whole web or search demand.
- Both weeks need adequate, comparable collection coverage.
Daily history · up to 90 days
Bars show dated source mentions. The latest UTC day may be incomplete. Zero mentions and missing collection coverage are different conditions.
View accessible daily data
| UTC date | Mentions | Sources | Observations | Ranking appearances |
|---|---|---|---|---|
| 2026-10-21 | 1 | 1 | 1 | 0 |
| 2026-10-22 | 0 | 0 | 0 | 0 |
| 2026-10-23 | 0 | 0 | 0 | 0 |
| 2026-10-24 | 1 | 1 | 1 | 0 |
| 2026-10-25 | 0 | 0 | 0 | 0 |
| 2026-10-26 | 1 | 1 | 1 | 0 |
| 2026-10-27 | 0 | 0 | 0 | 0 |
| 2026-10-28 | 0 | 0 | 0 | 0 |
| 2026-10-29 | 1 | 1 | 1 | 0 |
| 2026-10-30 | 0 | 0 | 0 | 0 |
| 2026-10-31 | 0 | 0 | 0 | 0 |
| 2026-11-01 | 1 | 1 | 1 | 0 |
| 2026-11-02 | 0 | 0 | 0 | 0 |
| 2026-11-03 | 0 | 0 | 0 | 0 |
| 2026-11-04 | 0 | 0 | 0 | 0 |
| 2026-11-05 | 0 | 0 | 0 | 0 |
Source evidence
Sources in the evidence shown:V2EX 5
V2EX · Published Nov 1, 2026
[分享创造] 开发了一个 Z80 计算机的通用模拟平台,可以自制机器含复古游戏机模板
开源地址: https://github.com/ericzhang-debug/z80cemu 求个 star 。 最近周末开发了一套完整的基于 Z80 CPU 通用模拟平台,包含一部分的外设和调试工具。许多 8 位的游戏机都是基于这个 CPU 平台运行的,里面也包含一部分主机模板。 因为定位于 Z80 的通用模拟,所以在里面可以轻而易举的定制自己的主机,只需要复制样例的配置文件,修改存储关系,像连线一样组装外设,遇到没有的外设完全可以将模板交给 AI 来实现。目前里面已经实现了: Z80v2 、TP801 、VtechLaser310 、MSX 等, 外设目前支持声音、串口、打印机、磁带、EPROM 编程器等。 运行截图:
View source record →V2EX · Published Oct 29, 2026
[分享创造] [开源]前天把丢了的账号找回了,搓一个客户端以示庆祝
之前号被盗了,前天刚找回来,于是 vibe coding 了一个安卓客户端以示庆祝,同时也非常感谢 Livid 大佬,帮我顺利找回了账号。 App 基于官方 API 2.0 Beta 版,目前功能会比网页版受限,不过比较轻量,也不需要跟 V2EX 的页面 DOM 绑定,要求不高的朋友可以试试。 开源地址: https://github.com/ginuim/v4ex ,APK 下载地址: https://github.com/ginuim/v4ex/releases/ 欢迎 star 和留言提意见!
View source record →V2EX · Published Oct 26, 2026
[分享创造] Github 最有毒仓库更新! 5872 张表情, 114 个分类,支持一键添加到微信表情
写了一个有趣的小工具:可以选中一张表情包,用网页里的离线 OCR 模型识别图片中的文本,并进行原位替换。 原位替换后可以直接适配微信表情:通过微信发送这张图,就能直接生成一个微信表情包。 ⠀ 实现原理很简单:普通的图片在微信里会被当成图片发送,但如果把图片转成 GIF 格式,即使只有一帧,微信也会默认把它转换成表情(当然要限制一定的帧数或尺寸)。 ⠀ Github Pages 在线体验地址: https://zhaoolee.com/ChineseBQB/maker/ 开源地址: https://github.com/zhaoolee/ChineseBQB ⠀ 仓库本身收录了 5872 张表情,114 个分类,可以直接在线编辑。整个网页托管在 GitHub Pages 上,需要比较好的网络环境才能访问。
View source record →V2EX · Published Oct 24, 2026
[分享创造] 开源了 MetriBee:给 GA4 换一张好看的脸,不用跑数据库
花了半天时间,搞了个 MetriBee ,已经开源。 它是一个 GA4 看板,读你已有的 Google Analytics 4 数据,所有站点放在一屏里看。不加新脚本,不存事件,只跑一个 Node 进程。 开源地址: GitHub ,觉得有用就点个 Star 关注我的 GitHub: @nexmoe ,看我接下来做什么 官网: metribee.com 为什么做它 我很喜欢 Rybbit ,自己用了很久。界面清爽,点一下就能筛选,还有一个会转的地球。 问题在背后。自托管 Rybbit 要跑 ClickHouse 、Postgres 、Redis ,再加应用本身。Plausible 也要 ClickHouse 和 Postgres 。事件一天天进来,数据库从几百 GB 涨到几个 TB 。磁盘要扩,备份要做,版本要
View source record →V2EX · Published Oct 21, 2026
[程序员] 做了一个小工具,开源了,开发,运维测试都可以用,个人感觉很方便,很适用,希望也能帮助到你们
开源地址: https://github.com/CNlanny/quik
View source record →
Review priority 39 / 100
This score orders research candidates. It is not search volume, a forecast or verified commercial demand.
Evidence
12.7 / 30Distinct dated articles or first observations; repeat crawling adds nothing.
Publisher diversity
8 / 25Conservative owner grouping; syndicated copies count once.
Comparable change
0 / 20Comparable complete weeks only; no percentage from a zero baseline.
Recent evidence
10.5 / 15Latest publication or first observation, not repeated fetch time.
Name specificity
8 / 10Explicit entities and technical concepts outrank ambiguous acronyms.
Limitations and interpretation
- First observation is a collection milestone, not proof that a word or product is new to the world.
- Counts describe monitored public sources, not the whole web or search demand.
- First observed here is not the invention date of a name or idea.
- Candidates come from public titles, summaries and entity URLs, not verified full-text analysis.
- Owner grouping is conservative; undisclosed syndication may remain.
- Both weeks need adequate, comparable collection coverage.
- Sources behind this term changed or lack a comparable baseline.
- Current evidence comes from one publisher or owner.