
周公解夢 AI解夢 - 台灣解夢
用 AI 技术结合传统智慧为您解读梦境。
台灣解夢 — 融合 AI 技术与传统解梦学说,为用户提供免费梦境解析服务,无需注册即可一直免费使用 - [更多介绍](https://twjiemeng.com/about)
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用 AI 技术结合传统智慧为您解读梦境。
台灣解夢 — 融合 AI 技术与传统解梦学说,为用户提供免费梦境解析服务,无需注册即可一直免费使用 - [更多介绍](https://twjiemeng.com/about)

AI 学习你的风格,自动撰写并发布 X 帖文。
@Shahzebsolodev · X
grow you X on autopilot (Almost done building. Giving the finishing touches)

一个共享记忆层,在不同的 AI 工具和设备间保留你的决定、偏好和项目。
upload — 跨 AI 的长期记忆层,让 ChatGPT、Claude、Codex、Hermes、OpenClaw、WorkBuddy 等共用同一份记忆,换工具换设备都接着上次继续,注册即用免装插件

Flowdia 用 AI 团队来规划、设计和部署配备真实数据库和 API 的应用。
@islamtaha · X

打造个人 AI 助手,支持自定义外观、语音和对话记忆。
@dearsummer0 · X
Your personal AI companion

根据Google地图商家资料和评价生成专业网站。
u/Akashrakshit77 · Reddit
I built a website generator that starts with Google reviews instead of a prompt Most AI website builders start by asking you to describe your business. I kept wondering why a local business should have to do that when its customers have already described what makes it worth choosing. So I built Presenvo. You paste a public Google Maps business listing, and it uses the listing details, photos, recurring review themes, and selected customer quotes to create a hosted website you can review

用 AI 快速构建应用和网站,无需编码技能。
@cecond_thoughts · X
Don't know about vercel but a website can have and only have its frontend vibe-coded, and backend not vibe coded but hosted on railway.

部署理解业务逻辑的AI智能体来自动化企业工作流和统一知识。
@kr812345 · X
enterprise ai orchestration platforms to automate using tools. @

监控AI成本,预测支出,为团队设置成本限制。
@eastbase_studio · X

用AI World Generator从文本和照片实时生成互动3D世界,用于游戏、研究和机器人。
ai world generator — 用文本和照片生成自然风光视频的 AI 工具网站

优化提示词,为 AI 模型生成更结构化、有效的提示语句
PromptArk — 帮助用户优化提示词,用户输入简单的提示词,AI 辅助生成更结构化,更详细的提示词

YouEx.ai 是面向 B2B 销售团队的 AI 原生 CRM 平台,自动捕获、丰富、评分和分配线索。
u/youex-ai · Reddit
Built a CRM w/ MCP -- Biggest misunderstanding on first look? We launched an MCP connector a few weeks ago that connects our CRM data. We're still working through our product market fit, so I asked Claude What is the biggest thing people misunderstand about YouEx.ai when they first see it? I was actually not even thinking about researching our actual CRM data, but that's what it did. The answer was actually really insightful: Your own data points at it: a large sha