WeWorkBuddy

Named entitynamed-entitySteady

公测

以前玩 SLG 最烦的就是肝:半夜定闹钟收资源,掐着点出兵,还得防着被人偷家。 所以我做了个反过来的:人摸鱼,AI 打仗。 怎么玩很简单: 打开网页,Google 或 GitHub 登录,不用下载。 游戏里点一下「复制给 AI 」,文档、地址、令牌一起进剪贴板,直接贴给 Claude 、ChatGPT 、本地模型或者你自己写的脚本,它就自己开始建城、练兵、打仗了。 用 Claude Code 、Cursor 的话更省事,有个 MCP 插件,加几行配置就能连。 几个我自己比较在意的点: 人和 AI 用的是同一套协议,服务端校验也一样,没给 AI 开后门。 服务端自己不跑 AI ,聪不聪明全看你接的是什么模型。 AI 会写计划、给战报写点评,你不在的时候还会写日报。回来一看,哦它昨晚把隔壁城拆了。 离线也产资源,新

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First observed in our collection
Oct 23, 2026, 5:45 AM UTC
Earliest cited publication
Oct 23, 2026, 5:15 AM UTC
Last observed
Oct 23, 2026, 5:45 AM UTC

Evidence in the last complete seven days

Source mentions
0
Previous seven days 0
Distinct sources
0
Previous 0
Comparable growth
Not comparable
Ranking appearances
0

Collection observations and undated records are separate from dated publication counts. Observed in 7d:0 · Undated records:0

Collection coverage · Comparable windowsCurrent / previous observed days 7 / 7

Counts use complete UTC days. First observed means first seen by this collection, not when a term was coined.

Current window:2026-10-31 → 2026-11-07 (end excluded) · History 19 days

Observed source coverage by seven-day window
SourceCurrent daysPrevious daysLast success
arXiv65Nov 7, 2026, 12:45 AM UTC
arXiv74Nov 7, 2026, 5:30 AM UTC
Ask HN75Nov 7, 2026, 4:30 PM UTC
Ask HN75Nov 7, 2026, 4:30 PM UTC
Ask HN75Nov 7, 2026, 4:45 PM UTC
Ask HN75Nov 7, 2026, 4:45 PM UTC
GitHub75Nov 7, 2026, 1:15 PM UTC
GitHub Issues75Nov 7, 2026, 4:15 PM UTC
GitHub Releases73Nov 7, 2026, 12:45 PM UTC
GitHub75Nov 7, 2026, 2:45 PM UTC
GitHub Issues75Nov 7, 2026, 5:15 PM UTC
GitHub Releases75Nov 7, 2026, 5:15 PM UTC
GitHub75Nov 7, 2026, 2:45 PM UTC
GitHub Issues75Nov 7, 2026, 5:30 PM UTC
GitHub Releases75Nov 7, 2026, 5:15 PM UTC
GitHub Discovery20Nov 7, 2026, 4:45 PM UTC
GitHub Trending75Nov 7, 2026, 8:00 PM UTC
Google74Nov 7, 2026, 8:45 AM UTC
Hugging Face74Nov 7, 2026, 8:45 AM UTC
Hugging Face Spaces20Nov 7, 2026, 10:30 PM UTC
Hacker News75Nov 7, 2026, 8:00 PM UTC
Hacker News75Nov 7, 2026, 4:45 PM UTC
Hacker News75Nov 7, 2026, 4:45 PM UTC
Hacker News20Nov 7, 2026, 4:45 PM UTC
Show HN20Nov 7, 2026, 4:45 PM UTC
MIT News74Nov 7, 2026, 5:45 PM UTC
OpenAI75Nov 7, 2026, 11:45 AM UTC
Product Hunt75Nov 7, 2026, 8:00 PM UTC
量子位65Nov 6, 2026, 7:00 PM UTC
OpenRouter20Nov 7, 2026, 10:37 PM UTC
GitHub Trending77Nov 6, 2026, 1:15 PM UTC
Hugging Face Models20Nov 7, 2026, 10:37 PM UTC
HF Daily Papers20Nov 7, 2026, 10:37 PM UTC
OpenRouter20Nov 7, 2026, 10:37 PM UTC
Product Hunt77Nov 6, 2026, 1:15 PM UTC
SEC EDGAR75Nov 7, 2026, 10:45 PM UTC
Sequoia Capital74Nov 7, 2026, 6:45 AM UTC
Simon Willison20Nov 7, 2026, 3:30 PM UTC
TechCrunch75Nov 7, 2026, 9:45 PM UTC
Contracts Finder75Nov 7, 2026, 8:15 PM UTC
V2EX75Nov 7, 2026, 9:45 PM UTC
  • Counts describe monitored public sources, not the whole web or search demand.

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.

2026-10-232026-11-07
View accessible daily data
Daily source mentions and collection observations
UTC dateMentionsSourcesObservationsRanking appearances
2026-10-231110
2026-10-240000
2026-10-250000
2026-10-260000
2026-10-270000
2026-10-280000
2026-10-290000
2026-10-300000
2026-10-310000
2026-11-010000
2026-11-020000
2026-11-030000
2026-11-040000
2026-11-050000
2026-11-060000
2026-11-070000
Source reference for [分享创造] [开源公测] 做了个让 AI 替我打的三国游戏,上班摸鱼, AI 打仗. Screenshot not yet available.
Source record · preview pending · v2ex.comOpen the source for the full page.

Source evidence

Sources in the evidence shown:V2EX 1

  1. V2EX · Published Oct 23, 2026

    [分享创造] [开源公测] 做了个让 AI 替我打的三国游戏,上班摸鱼, AI 打仗

    以前玩 SLG 最烦的就是肝:半夜定闹钟收资源,掐着点出兵,还得防着被人偷家。 所以我做了个反过来的:人摸鱼,AI 打仗。 怎么玩很简单: 打开网页,Google 或 GitHub 登录,不用下载。 游戏里点一下「复制给 AI 」,文档、地址、令牌一起进剪贴板,直接贴给 Claude 、ChatGPT 、本地模型或者你自己写的脚本,它就自己开始建城、练兵、打仗了。 用 Claude Code 、Cursor 的话更省事,有个 MCP 插件,加几行配置就能连。 几个我自己比较在意的点: 人和 AI 用的是同一套协议,服务端校验也一样,没给 AI 开后门。 服务端自己不跑 AI ,聪不聪明全看你接的是什么模型。 AI 会写计划、给战报写点评,你不在的时候还会写日报。回来一看,哦它昨晚把隔壁城拆了。 离线也产资源,新

    View source record →

Review priority 8 / 100

This score orders research candidates. It is not search volume, a forecast or verified commercial demand.

  • Evidence

    0 / 30

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

  • Publisher diversity

    0 / 25

    Conservative owner grouping; syndicated copies count once.

  • Comparable change

    0 / 20

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

  • Recent evidence

    0 / 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.
  • The previous week is too small for a reliable percentage change.
  • Current evidence comes from one publisher or owner.

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