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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:

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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

Observed source coverage by seven-day window
SourceCurrent daysPrevious daysLast success
arXiv63Nov 5, 2026, 10:00 AM UTC
arXiv72Nov 5, 2026, 10:01 AM UTC
Ask HN73Nov 5, 2026, 3:00 PM UTC
Ask HN73Nov 5, 2026, 2:30 PM UTC
Ask HN73Nov 5, 2026, 3:00 PM UTC
Ask HN73Nov 5, 2026, 3:00 PM UTC
GitHub73Nov 5, 2026, 12:15 PM UTC
GitHub Issues73Nov 5, 2026, 10:01 AM UTC
GitHub Releases71Nov 5, 2026, 12:00 PM UTC
GitHub73Nov 5, 2026, 2:30 PM UTC
GitHub Issues73Nov 5, 2026, 10:01 AM UTC
GitHub Releases73Nov 5, 2026, 3:14 PM UTC
GitHub73Nov 5, 2026, 2:30 PM UTC
GitHub Issues73Nov 5, 2026, 10:01 AM UTC
GitHub Releases73Nov 5, 2026, 3:14 PM UTC
GitHub Discovery00Nov 5, 2026, 3:13 PM UTC
GitHub Trending73Nov 5, 2026, 3:14 PM UTC
Google72Nov 5, 2026, 10:00 AM UTC
Hugging Face72Nov 5, 2026, 8:15 AM UTC
Hugging Face Spaces00Nov 5, 2026, 3:13 PM UTC
Hacker News73Nov 5, 2026, 12:45 PM UTC
Hacker News73Nov 5, 2026, 3:30 PM UTC
Hacker News73Nov 5, 2026, 3:30 PM UTC
Hacker News00Nov 5, 2026, 3:13 PM UTC
Show HN00Nov 5, 2026, 3:13 PM UTC
MIT News72Nov 5, 2026, 10:01 AM UTC
OpenAI73Nov 5, 2026, 11:30 AM UTC
Product Hunt73Nov 5, 2026, 12:45 PM UTC
量子位73Nov 4, 2026, 10:15 AM UTC
OpenRouter00Nov 5, 2026, 3:41 PM UTC
Hugging Face Models00Nov 5, 2026, 3:41 PM UTC
HF Daily Papers00Nov 5, 2026, 3:41 PM UTC
OpenRouter00Nov 5, 2026, 3:41 PM UTC
SEC EDGAR73Nov 5, 2026, 10:30 AM UTC
Sequoia Capital72Nov 5, 2026, 10:00 AM UTC
Simon Willison00Nov 5, 2026, 3:13 PM UTC
TechCrunch73Nov 5, 2026, 2:30 PM UTC
Contracts Finder73Nov 5, 2026, 10:00 AM UTC
V2EX73Nov 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.

2026-10-212026-11-05
View accessible daily data
Daily source mentions and collection observations
UTC dateMentionsSourcesObservationsRanking appearances
2026-10-211110
2026-10-220000
2026-10-230000
2026-10-241110
2026-10-250000
2026-10-261110
2026-10-270000
2026-10-280000
2026-10-291110
2026-10-300000
2026-10-310000
2026-11-011110
2026-11-020000
2026-11-030000
2026-11-040000
2026-11-050000
Source reference for [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. Screenshot not yet available.
Source record · preview pending · v2ex.comOpen the source for the full page.

Source evidence

Sources in the evidence shown:V2EX 5

  1. 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 →
  2. 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 →
  3. 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 →
  4. 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 →
  5. 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 / 30

    Distinct dated articles or first observations; repeat crawling adds nothing.

  • Publisher diversity

    8 / 25

    Conservative owner grouping; syndicated copies count once.

  • Comparable change

    0 / 20

    Comparable complete weeks only; no percentage from a zero baseline.

  • Recent evidence

    10.5 / 15

    Latest publication or first observation, not repeated fetch time.

  • Name specificity

    8 / 10

    Explicit 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.

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