
NODE — Your ideas deserve to go viral
NODE turns everything you already know into ideas worth publishing, sharing, and growing.
@haysonCH · X
Building NODE. An AI Growth OS that turns knowledge into content, attention, relationships and growth.
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NODE turns everything you already know into ideas worth publishing, sharing, and growing.
@haysonCH · X
Building NODE. An AI Growth OS that turns knowledge into content, attention, relationships and growth.

用 AI 从文本故事创建网络漫画和漫画,支持多种艺术风格和 4K 导出。
StarVeil AI - 星河入梦 — 使用AI生成连续漫画的网站

用 Muse Image 生成包含可读文字的多参考合成图像
zxhywork · V2EX
Muse Image AI Meta Superintelligence Labs 7 月 7 号发布了他们第一个图像模型 Muse Image ,内部代号 Mango 。玩了两天,这个模型有几个点确实有意思: - **Agentic 生成**:出图前先规划布局,需要事实的场景会联网搜,画完自查一轮再交稿,长 prompt 一次过的概率明显高 - **图内文字能看了**:海报标题、图表、甚至可扫的二维码都能直接画进图里,这是大部分生图模型至今糊掉的地方 - **多参考图合成**:从几张照片里分别取人脸、服装、产品、背景,融成一张不违和的图 官方入口在 Meta AI App / meta.ai / Instagram Stories ,国内用着别扭,还得装 App 。我就照着上一个站的路子做了个纯网页版:[museimages.io]( https://museimages.io/)。 产品上砍得很狠,只做图像,三个入口: - [Meta Muse Image 在线生成器]( https://museimages.io/ai-image-generator)

在视觉化画布上映射创意和依赖关系,然后无需登录即可共享项目快照。
@jninabayata · X
If you've ever sketched ideas on paper before forcing them into checklists, Taskpips was built for you. I'm currently improving my positioning in my landing page but the app has been ready for users for months.

grabdemo:屏幕录制一键转化为AI打磨的交互式演示。
@grabdemo_ · X

AI Amazing - 从文字提示生成商业级图像和视频。
AI Amazing — AI 图像/视频生产平台,面向创作者与团队

在白板上绘画并录制,创建教程视频和团队更新。
GoBoardcast — AI 白板讲解视频工具,把任意主题生成可编辑白板,并录制摄像头、麦克风、光标讲解后导出 MP4

Before every startup, there is one spark. IdeaPal was built to help you find it.
@IdeaPalLabs · X

上传照片,生成自己在各种场景中的电影级AI照片和视频。
cloudfom · Product Hunt
SceneAdoptAI This AI Turns Ideas Into Cinematic Scenes

用于生成和编辑图像、视频、语音的网页和Windows创意工作空间
global_ai_studio_pro · Product Hunt
Global AI Studio Pro AI creative workspace for web and Windows

在浏览器中用 Screely 创建专业截图效果图,支持框架、背景和标注。
@Aticmatic_com · X
of course for people:

分享软件创意、发现项目、跟踪贡献者的公开待办事项。
u/ramu9703 · Reddit
I built a public ledger that tracks a software idea from "shower thought" to shipped code hey everyone, I spent my weekend building a public backlog called vibehub (thanks 5.6 sol :) ) the main problem i wanted to solve is that too many good micro-ideas die in notes apps, and too many open-source projects launch without anyone knowing why they were built, who had the original spark, or how they evolved vibehub tracks the entire lineage of a project: - public feed of software briefs