
perfscale - Load Test Automation for Modern Teams
为现代团队自动化负载测试,无需复杂设置或手动脚本编写。
@GorodkovVi85373 · X
- load testing made easy even without enginnering team. Faster, cheaper, distributional
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技术栈
25 projects

为现代团队自动化负载测试,无需复杂设置或手动脚本编写。
@GorodkovVi85373 · X
- load testing made easy even without enginnering team. Faster, cheaper, distributional

Jira原生测试管理,连接需求与测试执行,支持完整可追踪性。
@pakosteve · X
Improve your SaaS quality when scaling (by register requirements and test via MCP)

粘贴任何 URL 即可在设备模型(桌面、平板、手机)上预览项目。
@AndreaPericoli · X
I couldn’t find a simple tool that did exactly what I needed, so I built one in @Lovable Frame Stage lets you paste a URL and instantly preview your project on desktop, tablet, or mobile. No mockups. No setup. 🌐 #vibecoding #AI

项目管理、文档和测试管理的一体化工作空间。
@klorityx · X
One workspace for project management, documentation, test management & CRM. Enterprise features without enterprise pricing.

从技术栈生成生产级 Docker、Makefile 和 CI 文件。
@stacktora · X

用 Phrasel 练习 PTE Core,获得 AI 评分和完整模拟考试。
phrasel_service · Product Hunt
Phrasel AI-powered PTE Core practice, feedback, and mock tests

在浏览器中直接使用WebAssembly编译并预览Typst文档。
will-bradshaw · HN
Typst-WASM – Compile Typst in browsers, Node, and serverless runtimes

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.

自动QA智能体测试网页和移动应用,发现流程和漏洞,重放测试场景。
@AbdullahYusufY · X
Here is ours We are developing autonomous QA agents feel free to check it out.

用AI从产品需求文档生成生产级代码。
@codalioinc · X
The vibe-coding loop: "fix it" × 7, 512K tokens, still not shipped. The Codalio loop: PRD → build → deploy. Need a change? Edit the PRD. +1,900 tokens. Stop paying tokens to discover your own requirements.

通过 API 创建一次性邮箱,自动捕获测试中的 OTP 和邮件。
@MailFixture · X

让AI模型通过3D动画展现香蕉植物的完整生命周期来比较性能。
fran-mora · HN
I gave 5 AI coding agents one prompt: grow a banana plant through its whole life in three.js: sprout, leaves, flower, fruit, rot, then pups that restart the loop. It's deceptively simple and yet very hard to get right from procedural code: you have to write working three.js and understand how the plant is actually built; how it hangs, ages and decays. Get the biology wrong and the code renders something weird. These are agents, not bare models (Claude Code and Codex for now). They can use tools, including playwright to check their work and improve it.