
AI Resume Builder-Professional Templates-SmartCV | SmartCV
SmartCV AI简历制作工具,提供专业模板、ATS优化和PDF导出。
SmartCV — AI 智能简历制作平台,提供简历模板、AI优化建议、多种格式导出等功能
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SmartCV AI简历制作工具,提供专业模板、ATS优化和PDF导出。
SmartCV — AI 智能简历制作平台,提供简历模板、AI优化建议、多种格式导出等功能


ScreenDub 可快速录制屏幕并生成AI配音脚本,支持多语言教程和产品演示。
@me_using_x · X
Do you need a product demo or wanna make tutorial/help videos? Your problem is solved for ever now! Try: PS: I am the developer who built this and I am self promoting it via this thread. 😀

Still Your Words 清理听写转录,保留您的声音
umesh92x · Product Hunt
Still Your Words AI proofreader - fixes dictation without erasing your voice

输入提示词和选择情绪,使用AI生成个性化说唱歌词和歌曲。
Rap Generator — 生成说唱歌词和歌曲的免费 AI 工具,用户可以输入提示词,选择情绪,生成符合描述的个性化的歌词,并可以根据歌词选择免费创建两首定制的说唱歌曲。可以免费下载和收听人工智能生成的说唱歌曲。希望让每一个 Rap 音乐爱好者能轻松地创作自己喜欢的音乐

将语音转换为AI润色的文本,支持自定义改写风格。
@louispereira · X
End of an era for me. I just moved web app out of Bubble, to a version i custom built with Claude. No Code gave me wings back in 2023, but it cannot compete with Claude in 2026 imo. Forever grateful to @bubble though. It changed my life.


从文字和图像生成高清 AI 视频,支持 Kling、Veo 等多个模型。
hashkitly · HN
Froging AI – image and video models in one workflow

通过AI聊天界面查询公司文档和内部指南。
@DD_Ferel · X
We built IntelliBase AI: a smart knowledge base that "learns" directly from your company's own documents, so HR & Ops teams can ask questions naturally instead of digging through files one by one. 🌐 Interested in trying it for your team? Comment or DM us

用 AI 即时翻译文档、图像、视频和音频文件。
Transmonkey — 所有您所需的翻译工具,一应俱全 - [更多介绍](https://www.transmonkey.ai/faq)

AI工具,评分简历、生成求职信、撰写LinkedIn简介和构建符合ATS的简历。
@cdt_tech · X
I built an AI tool for job seekers 🚀 DocPilot lets you: → Score your resume out of 100 → Generate tailored cover letters in seconds → Write your LinkedIn summary with AI → Build ATS-compliant resumes Try it:

检测您的写作中的AI内容,修改后重新扫描验证更改。
u/Cnye36 · Reddit
I built an AI detector and I'm not sure the score is the useful part I started building DidAIwriteit.com thinking the most useful part was the sentence level scoring and rescan. I thought, scan a draft, flag suspicious sentences, help the user rewrite and rescan to pass the detector before a teacher, client, or editor did. That felt like the product. But I kept running back into the same question: What does that actually prove, at the end of the day it is still just a number, the landsca