
seus.ai — Autonomous Software Creation Engine
seus.ai 自动设计、构建和部署软件系统。
@Bim_evaporates · X
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seus.ai 自动设计、构建和部署软件系统。
@Bim_evaporates · X
Check out DMs open

AI生成定制商业创意,提供成功评分和投资者级别融资材料。
@pitchspark_ai · X

在统一终端中同步管理多个AI代理和项目。
@soracstv · X
I run my AI coding agents with AgentsRoom, a visual command center for multi-agent development. @AgentsRoomDev #VibeCoding #AI

用 AI 创建自定义简历和作品集,无需使用模板。
@jaura_id · X
Hi! ⚡️ Building right now—an agentic AI resume maker that acts like a proactive career agent rather than just a basic template editor. Literally just hit Day 1 of my #BuildInPublic journey today. Let's connect! 🙌

AI网站构建器:描述您的业务,获得完整网站,首个免费。
@James_Gibbons2 · X
Check out - the AI that builds your website for free!

通过回答问题为 ChatGPT、Claude 等生成结构化的 AI 提示词。
@askjames_co · X

从文本提示自动生成、构建和部署完整项目的AI代理。
@liquidated0x · X
building an AI coding agent that ships full projects from a prompt — if you're if you're curious

用于在 git worktrees 中并行运行多个 AI coding agents 的桌面应用
vuphanse

为你的AI生成网站应用设计系统和字体。
@Hamzadevio · X
just shipped. my goal is to help founders add taste to their vibe coded ugly looking apps. (especially the purple gradient, can't see it no more..)

用一行代码部署强大的 AI 模型,享受业界最具竞争力的 GPU 价格。
Synexa AI — 一行代码部署 AI 模型 (Replicate 50% 低价平替),Synexa 是运行无服务器 AI API 最具性价比的解决方案,提供业界最具竞争力的 A100 GPU 价格,相比其他服务商可节省高达 62% 的 AI 算力成本 - [更多介绍](https://github.com/1c7/chinese-independent-developer/issues/47

按职业场景语义搜索 AI Skills,保存收藏集,一键装入 Claude Code。
SkillForge — Claude Skill 发现与分发平台,按职业场景组织 5700+ skill 覆盖 30 个垂直领域,一行命令装到 Claude Code / Cursor,登录后可留存自己的工具集

可嵌入的可视化工作流编辑器,支持AI驱动或纯逻辑设计。
tahazsh · HN
Hi! I’m Taha. In many agentic products that support workflows (including one I worked on), I noticed they either don’t support node-based editors, or use React Flow and go through the difficult work of integrating it into their product to run it and work with their existing logic. So I thought about creating a tool that could help with this by closing the gap between the editor and the runtime. That’s why I created Wayflow. The basic architecture is simple: you just need to create a graph (which is a JSON object) that the runtime knows how to run. The runtime doesn’t care where that graph is coming from, it just needs the right schema. And with the help of the editor, you can create the graph, and then export it or directly save it on your backend in your database. And then when you want to execute it, you just hand it to the runtime. The runtime can either stream the execution (which is useful for the editor), or give you the final result. How you execute the graph is up to you: t