策引 — 全球市场技术分析工具，可以创建多个市场的模拟组合并做深度回测分析。同时正在开发 AI Agent 功能，可帮助用户使用大模型自动生成基于不同交易策略的模拟组合。

@torquant · X

building Torquant. you build and backtest trading/investment strategies using only natural languange

petersas · HN

We gave our website-audit tool an MCP server so agents can fix issues

phrasel_service · Product Hunt

Phrasel AI-powered PTE Core practice, feedback, and mock tests

@GorodkovVi85373 · X

- load testing made easy even without enginnering team. Faster, cheaper, distributional

u/bob__io · Reddit

What we learned from trying to turn vibe-coded prototypes into production SaaS applications Founder here. While developing MCPBackend, we noticed a major difference between generating a convincing application demo and building a maintainable SaaS product. AI coding tools are increasingly capable of generating interfaces, routes and even initial application logic. But a production application still needs: a reliable data model authentication and authorization backend validation

@pakosteve · X

Improve your SaaS quality when scaling (by register requirements and test via MCP)

@krichnec · X

> 拿到 Offer 后，最容易出问题的可能不是面试，而是背调：任职日期、合并经历、联系人身份、薪资口径、离职原因，任一重大不实都 > 可能触发红灯。 > 我做了一个匿名背调风险自测工具：3–6 分钟，不填姓名、身份证，不上传材料，按最高风险项判断等级。 自测:

@AbdullahYusufY · X

Here is ours We are developing autonomous QA agents feel free to check it out.

@__singhritwik · X

u/pulptaken · Reddit

I built a website to audit AI prompts I'm giving away a limited number of early access invites for anyone who wants to try Marzel. You'll also be able to try the product once directly from the landing page, without joining the early access. This initial phase is focused on validating the core features and collecting feedback. After that, Marzel will also include a browser extension and a desktop app for auditing Claude Code and Codex CLI sessions, which is the project's main goal. If yo

@DirtCheapLabs · X

It's just dirt cheap labs lol