
玄機閣|八字排盤、西洋占星、易經與塔羅占卜
通过八字排盘、西洋占星、塔罗和易经获得个性化占卜。
@quantweb3 · X
最近做了一个命理占星的网站 刚做 有空提点意见和建议啊
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通过八字排盘、西洋占星、塔罗和易经获得个性化占卜。
@quantweb3 · X
最近做了一个命理占星的网站 刚做 有空提点意见和建议啊

输入出生日期、时间和城市生成八字命盘。
@JohnSmistejbf · X
做了一个在线八字排盘工具。 输入出生时间,就可以快速生成八字命盘,查看四柱、五行、十神等信息。 欢迎反馈,我会继续优化。

使用真太阳时修正和五行分析生成你的 Bazi 命盘。
u/JianJi-Bazi-Creator · Reddit
I spent over 2,000 USD on AI tokens turning my childhood hobby (Chinese astrology) into a free web tool Hey everyone — I built www.jianji.uk/rd , a free Bazi (Four Pillars of Destiny) reading tool. Sharing it here as my first "real" side project. Quick backstory: I grew up fascinated by the Yi Jing and Chinese destiny studies. When I first started working, I used to cast charts for colleagues and friends — sometimes with uncanny accuracy. One time, using a classical method from the San Min

基于八字和五行的AI宝宝取名服务,生成吉祥名字。
AI 取名网 — 用 AI 帮助宝宝取名服务,依据中国传统命理学为您的宝宝提供最为合适的名字。这款扩展功能融合了八字、生肖、五行以及三才五格等多种传统命理因素,为您的宝宝量身打造吉祥如意的好名字 - [更多介绍](https://bbname.cc/about)

生成八字和吠陀占星图表,抽取塔罗牌进行个人解读。
@MaynorAI1 · X

在线免费生成BaZi、I Ching、Qimen、Zi Wei与Zodiac占卜图表。
@lushnone · X
Lushn — bringing a centuries-old BaZi tradition into the AI era. Our proprietary calculation system is paired with AI interpretation, creating personalized insights beyond generic AI readings.

AI 驱动的八字排盘系统,采用确定性规则引擎计算,LLM 生成自然语言分析。
@GoWithFlow2026 · X
上线了一个 AI 八字排盘 🔮 🔗 和"直接把生日扔给 ChatGPT"完全不同: 1️⃣ 事实不靠猜:排盘、干支关系、刑冲合会等,全部由确定性规则引擎计算——LLM 只负责把判定结果写成人话,编不了盘。 2️⃣ 指令手写:分析指令是我根据《子平真诠》并结合自身经历逐条手写的命理逻辑。 🎁 免费演示,无需注册,点开即看完整报告: 觉得准,再测自己的($1.99 起)。欢迎反馈!

BrandVizi is a free AI-powered SEO and AEO tool that audits your website, finds SEO issues, scores your site, and provides actionable recommendations.
@1Maazansari · X

在单一工作空间中访问GPT、Claude、Gemini和Llama等多个AI模型。
not_wowinter14 · HN
GPT, Claude, Gemini. Ask them all. Pay for one

使用多个 AI 模型从提示词生成图像和视频,支持可复用会话和生产级输出控制。
gwynn · Product Hunt
tuziyo Generate and finish AI images in one workflow.


将自然语言描述转换为生产就绪的后端API和服务
u/yousefemz · Reddit
18 months ago we weren't sure it was possible. Today we launched it. We kept asking ourselves one question for a year and a half: can an AI actually design a scalable backend from a description of how it should behave, not demo-ware, something that holds up in production? We didn't know. Some weeks it felt like the answer was no, or that we'd end up with code that looks right and falls apart the second real traffic hits it. We just launched it. You describe how your backend should behave,