开发者工具3 weeks ago
Serverless GPU Platform for AI Inference | Runpod
Runpod是无服务器GPU推理平台，冷启动低于200ms，按秒计费。
@svpino · X
You can check out Runpod here: Thanks to the Runpod team for partnering with me on this post.
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Runpod是无服务器GPU推理平台，冷启动低于200ms，按秒计费。
@svpino · X
You can check out Runpod here: Thanks to the Runpod team for partnering with me on this post.
在浏览器中编写和运行代码，具有 AI 代码生成和自动修复功能。
@anish2good · X
在浏览器中从文本或图像生成4K视频,无需GPU。
Wan3Pro — AI 在线视频生成工具
具有CRM、开票和项目管理功能的业务管理工具
@buildrunkitUS · X
BuildRunKit: A complete system for founders, with (CRM/Invoices/Projects) BuildRunKit 7-part Startup foundations book series. Book 1 is live! The Startup Self Check Frenzied Founder Podcast.
用于管理薪资、福利和员工工作流的一体化HR平台。
@Payrun_app · X
alternative of bamboohr,rippling we called it
在浏览器中编辑、压缩、转换和合并视频和音频文件。
zhw2590582 · V2EX
最近对网站进行了重构，做成了免费的视频工具站：[ArtPlayer Tools]( https://artplayer.org/tools/) 主要是围绕着 ffmpeg.wasm 和 mediabunny 实现的一些可以直接在浏览器里用的视频/音频工具，常用的有： - 视频压缩：[Compress Video]( https://artplayer.org/compress-video/) - 视频裁剪：[Crop Video]( https://artplayer.org/crop-video/) - 视频合并：[Merge Video]( https://artplayer.org/merge-video/) - 视频尺寸调整：[Resize Video]( https://artplayer.org/resize-video/) - 视频旋转：[Rotate Video]( https://artplayer.org/rotate-video/) - 视频调速：[Change Video Speed]( https://artplayer.org/change-video-speed/) - 添加文字到视频：[Add Text to Video]( https://artplayer.org/add-text-to-video/) - 添加水印：[Watermark Video]( https://artplayer.org/watermark-video/) - 提取字幕：[Subtitle Editor]( https://artplayer.org/subtitle-editor/) - HLS 转 MP4：[HLS to MP4]( https://artplayer.org/hls-to-mp4/) - 音频可视化：[Audio Visualizer]( https://artplayer.org/audio-visualizer/) 大部分工具都是本地处理，文件不会上传到服务器。最开始是因为自己偶尔要处理一些视频，开剪辑软件又有点重，在线工具又担心隐私，所以就慢慢做成了一个站。 目前还在持续完善，体验肯定还有不少粗糙的地方，比如不同浏览器的兼容、移动端操作、长视频性能之类的。 网站： [ArtPlayer Tools]( https:
由AI驱动的代码审查工具，在microVM中运行代码来捕获更多错误。
u/dumbfoundded · Reddit
Ito, AI Code Review that Runs Code I've been using AI code review tools but none of them actually run code so I built one: https://www.ito.ai/ The way it works is that it uses microVMs to spin up your environment with all of the services running. Then a bunch of AI agents go and test the application to collect runtime evidence. The result is you get test cases along with evidence about whether or not the test cases pass or fail. The runtime evidence can be videos, request/response curls, db