
نظام الذكر - وردي اليومي
按祈祷时间组织每日伊斯兰诵念和纪念。
@madhawi1230 · X
Check out what I just built with Lovable!
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按祈祷时间组织每日伊斯兰诵念和纪念。
@madhawi1230 · X
Check out what I just built with Lovable!

在浏览器中对 ZIP 文件排序、重命名,100% 本地处理,无需上传。
@TraXx474387 · X
Built ZipSort 🗂️ Sort files inside ZIP archives in seconds — no upload, 100% client-side (your files never leave your browser). Set rules by extension, prefix, suffix or keyword → download a clean, organized ZIP. Free to try:

SaveAnywhere是Chrome扩展,直接将文件、图片、链接保存到Google Drive、Dropbox和OneDrive,本地处理。
@SaveAnywhere · X
Free chrome extension :

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

输入话题即可生成包含研究和音频的AI播客。
u/Which-Breadfruit-926 · Reddit
Launched an AI podcast studio that competes with NotebookLM's audio overviews, here's the positioning bet I'm making (founder here) Founder here, disclosing upfront per sub rules. Most people's mental model for "AI podcast" right now is NotebookLM's Audio Overview: two hosts, a few minutes, generated from your own docs, capped by a daily limit, no easy way to publish it anywhere. PaperVoiceLab ( https://papervoicelab.com ) is built for a different job: you give it a topic (not just a docu

在统一界面编写、模板化并启动跨多个AI平台的提示词。
@promptboxxx · X
Have all your AIs in one place and never repeat a prompt

从已发布项目生成AI案例研究,自动分享至社交媒体。
@SeifElkady_ · X
Building — helps devs turn shipped projects into proper case studies for their portfolio. Let's connect!

为团队和应用安全管理密钥与环境变量。
@radimhfer · X
i'm founder of Stashbase, designed to help builders

AI驱动虚拟数据室,帮助交易团队将散乱文档转化为引导性体验。
@Puneeeeeeet · X
We help brands go viral on X with organic video campaigns that people actually want to watch. wanna try for

上传PDF和视频创建视觉知识地图,使用AI研究助手进行对话。
allybahaei · HN
Bring all your sources into a visual space, ask questions with full context, branch LLM conversations, and go deep on YouTube videos / research papers to build your knowledge canvas.

存储提示词和背景信息,通过 MCP 让 Claude Code、Cursor 等 AI 工具共享访问。
@vibexp_io · X
Your plan is now code. Claude Code Dynamic Workflows fan out up to 1,000 subagents, 16 at once, each in its own context, verifying until the results converge. Built for big bug hunts, migrations and audits. Source:

用可视化编辑器设计、测试和发布AI就绪的API。
@milonspace · X
A specification nobody can find is functionally the same as no specification.