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用NanaVis将图片转换成3D模型，用于游戏、3D打印和Blender。
NanaVis — Nano Banana 驱动的 AI 图片编辑工具
查找、复制和分享AI工作流 — 可复用的自动化系统，包含工具、提示和步骤。
@softlaunched_io · X
Hey Jack! We've just recently launched, we're a marketplace for sharing AI workflows. We're also big fans of quick-to-launch vibe coding, our entire build process workflow is public and free to check out and copy!
用AI生成的英雄部分和动画背景快速创建高转化登陆页面。
@yeasindesign · X
Beautiful prompt library
通过描述您的目标为 AI agent 获取实时服务器
@ServerForAgent · X
Flint是为AI代理设计的可视化语言,用于创建交互式数据可视化。
chenglong-hn · HN
Data visualizations are the bridge between user and data. But building AI agents that can generate visualizations reliably can be very tricky: - simple chart specs can be reliable, but generated charts are often of low quality due to reliance on system defaults; - complex chart specs with explicit details can produce good-looking charts, but they are verbose and agents can struggle with reliability We figured out it is a limitation on the language issue (not just AI capability thing) -- current visualization languages are a bit too low-level for AI agents, requiring them to explicitly make visual decisions that are supposed to be handled by a good compiler. Flint is a visualization intermediate language to address this issue, allow AI agents to solve this last-mile human-agent interaction problem. It provides a simple semantic-type based specification, and contains a layout optimization engine that can produce good-looking charts (filled with derived low-level details) from simple
根据硬件规格发现本地可运行的AI模型，包括性能和价格估算。
cdnsteve · HN
Tokenstead, find AI models for your hardware
为创作者评分内容、规划LinkedIn和Instagram日历的AI内容策略平台。
@Shauryaverma249 · X
Building content strategy platform, about to launch on PH, already crossed 40 users, few acquisition deal offers also
诊断你在技术领域的知识空白，获得个性化AI学习计划。
u/safi1409 · Reddit
I built a learning path builder tool powered by AI — maps your knowledge gaps and builds a focused learning path Hey everyone, sharing a side project I've been working on. The problem: When you're self-learning a technical field, you don't know what you don't know. Most people either follow a generic roadmap or keep consuming content without a clear picture of their actual gaps. I personally have completed multiple courses which reiterate the same thing because I was not sure if I had act
用于构建网站、编写代码和处理复杂任务的 Agentic AI 助手。
@durdom_evm · X
Chinese team at just dropped ZCode 3.0 and it's quietly reshaping the agentic coding landscape while everyone's waiting on Anthropic's roadmap here's what matters: GLM-5.2 is trading blows with Opus 4.8 on the benchmarks that actually count. 81.0 vs 85.0
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
用自然语言描述你的想法，即可构建并部署生产应用。
@jordanunegbu · X
Develop apps and websites with natural language?
