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
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 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
| Source | Current days | Previous days | Last success |
|---|---|---|---|
| arXiv | 6 | 5 | Nov 7, 2026, 12:45 AM UTC |
| arXiv | 7 | 4 | Nov 7, 2026, 5:30 AM UTC |
| Ask HN | 7 | 5 | Nov 7, 2026, 4:30 PM UTC |
| Ask HN | 7 | 5 | Nov 7, 2026, 4:30 PM UTC |
| Ask HN | 7 | 5 | Nov 7, 2026, 4:45 PM UTC |
| Ask HN | 7 | 5 | Nov 7, 2026, 4:45 PM UTC |
| GitHub | 7 | 5 | Nov 7, 2026, 1:15 PM UTC |
| GitHub Issues | 7 | 5 | Nov 7, 2026, 4:15 PM UTC |
| GitHub Releases | 7 | 3 | Nov 7, 2026, 12:45 PM UTC |
| GitHub | 7 | 5 | Nov 7, 2026, 2:45 PM UTC |
| GitHub Issues | 7 | 5 | Nov 7, 2026, 5:15 PM UTC |
| GitHub Releases | 7 | 5 | Nov 7, 2026, 5:15 PM UTC |
| GitHub | 7 | 5 | Nov 7, 2026, 2:45 PM UTC |
| GitHub Issues | 7 | 5 | Nov 7, 2026, 5:30 PM UTC |
| GitHub Releases | 7 | 5 | Nov 7, 2026, 5:15 PM UTC |
| GitHub Discovery | 2 | 0 | Nov 7, 2026, 4:45 PM UTC |
| GitHub Trending | 7 | 5 | Nov 7, 2026, 8:00 PM UTC |
| 7 | 4 | Nov 7, 2026, 8:45 AM UTC | |
| Hugging Face | 7 | 4 | Nov 7, 2026, 8:45 AM UTC |
| Hugging Face Spaces | 2 | 0 | Nov 7, 2026, 10:30 PM UTC |
| Hacker News | 7 | 5 | Nov 7, 2026, 8:00 PM UTC |
| Hacker News | 7 | 5 | Nov 7, 2026, 4:45 PM UTC |
| Hacker News | 7 | 5 | Nov 7, 2026, 4:45 PM UTC |
| Hacker News | 2 | 0 | Nov 7, 2026, 4:45 PM UTC |
| Show HN | 2 | 0 | Nov 7, 2026, 4:45 PM UTC |
| MIT News | 7 | 4 | Nov 7, 2026, 5:45 PM UTC |
| OpenAI | 7 | 5 | Nov 7, 2026, 11:45 AM UTC |
| Product Hunt | 7 | 5 | Nov 7, 2026, 8:00 PM UTC |
| 量子位 | 6 | 5 | Nov 6, 2026, 7:00 PM UTC |
| OpenRouter | 2 | 0 | Nov 7, 2026, 10:37 PM UTC |
| GitHub Trending | 7 | 7 | Nov 6, 2026, 1:15 PM UTC |
| Hugging Face Models | 2 | 0 | Nov 7, 2026, 10:37 PM UTC |
| HF Daily Papers | 2 | 0 | Nov 7, 2026, 10:37 PM UTC |
| OpenRouter | 2 | 0 | Nov 7, 2026, 10:37 PM UTC |
| Product Hunt | 7 | 7 | Nov 6, 2026, 1:15 PM UTC |
| SEC EDGAR | 7 | 5 | Nov 7, 2026, 10:45 PM UTC |
| Sequoia Capital | 7 | 4 | Nov 7, 2026, 6:45 AM UTC |
| Simon Willison | 2 | 0 | Nov 7, 2026, 3:30 PM UTC |
| TechCrunch | 7 | 5 | Nov 7, 2026, 9:45 PM UTC |
| Contracts Finder | 7 | 5 | Nov 7, 2026, 8:15 PM UTC |
| V2EX | 7 | 5 | Nov 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.
View accessible daily data
| UTC date | Mentions | Sources | Observations | Ranking appearances |
|---|---|---|---|---|
| 2026-10-23 | 1 | 1 | 1 | 0 |
| 2026-10-24 | 0 | 0 | 0 | 0 |
| 2026-10-25 | 0 | 0 | 0 | 0 |
| 2026-10-26 | 0 | 0 | 0 | 0 |
| 2026-10-27 | 0 | 0 | 0 | 0 |
| 2026-10-28 | 0 | 0 | 0 | 0 |
| 2026-10-29 | 0 | 0 | 0 | 0 |
| 2026-10-30 | 0 | 0 | 0 | 0 |
| 2026-10-31 | 0 | 0 | 0 | 0 |
| 2026-11-01 | 0 | 0 | 0 | 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 |
| 2026-11-06 | 0 | 0 | 0 | 0 |
| 2026-11-07 | 0 | 0 | 0 | 0 |
Source evidence
Sources in the evidence shown:V2EX 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 / 30Distinct dated articles or first observations; repeat crawling adds nothing.
Publisher diversity
0 / 25Conservative owner grouping; syndicated copies count once.
Comparable change
0 / 20Comparable complete weeks only; no percentage from a zero baseline.
Recent evidence
0 / 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.
- The previous week is too small for a reliable percentage change.
- Current evidence comes from one publisher or owner.