
Unified AI Workspace for Chat, Image & Video Models | AI Onekit
在一个工作区对比并运行多个AI模型生成文本、图像和视频。
AI Onekit — AI 聚合模型创作平台 - [更多介绍](https://aionekit.com/models)
完整作品展
技术栈
21 projects

在一个工作区对比并运行多个AI模型生成文本、图像和视频。
AI Onekit — AI 聚合模型创作平台 - [更多介绍](https://aionekit.com/models)

用于组织和共享视觉资产的数字资产管理平台,支持 AI 代理集成。
@raster_app · X


上传SVG创建蓬松光泽贴纸,支持3D光学效果和PNG导出。
@Ammar110_SM · X
Turn any SVG into a glossy die-cut sticker you can actually peel 🎨 Built Sticker Studio entirely in Wonder, UI in Wonder Chat, live shader outlines, and Wonder's MCP piped it all into Claude Code as a real app. Try it: @usewonder #wonderchallenge

编写 React 邮件模板和 TypeScript 自动化,然后随应用部署。
@stewartjarod · X

在 Gmail 中直接向创作者发送 AI 生成的个性化推介。
@NSalahedde41717 · X
Find YouTube, Instagram, TikTok, and Facebook creators in your niche. AI writes a personalized pitch for each one. Send from your own Gmail in minutes. 75% cheaper than NinjaOutreach. Start free.

在线绘制或导入串珠图案,自动计算珠子数量,导出PDF。
letsgogogo · V2EX
做了一个串珠子的工具,支持拼豆。 我做了一个在线串珠图案工具 Loomet 。 可以画图案、自动算珠子数量、导出 PDF 。也支持拼豆模式。 https://loomet.app


一次发布自动同步到X、Bluesky、Threads、Mastodon、LinkedIn等多个社交平台。
@KevinNaughtonJr · X
building @ferrymanio to help people post their content everywhere automatically

用 KalTalk 从你的文档回答客户支持问题,同时识别销售机会。
@the_real_ori · X
Building AI support agent for SaaS. One agent, support and sales in the same inbox. What are you shipping?


分享你的黑胶唱片播单,发现其他收藏家正在听什么。
geekamongus · HN
I collect records and I build apps in my spare time (and listen to records while I build apps), and this is what happens when those two things run into each other. Many people post photos of what they have spinning on their turntables on social media, and most never get any engagement. It occurred to me that people might want a better way to do this, and bringing them together in a niche social site might help. So I made Wax Spinner. Connect your Discogs (the de-facto vinyl collector's catalogue) account, post whatever you're playing with an optional note, and it lands in a feed where people can like it and comment. You can also browse anyone's full collection on their profile, and filter the feed by genre, pulled straight from Discogs metadata. The conversation and the discovery are the primary purpose. The details this crowd might find interesting: every spin generates its own OpenGraph share card on the fly, with cover art, artist, year, and notes rendered server-side and cached