
WillItInbox - Email deliverability tester, X-rayed
WillItInbox email deliverability tester: send a real message, get 70+ checks, validate recipients with 12 layers, and monitor domains and DMARC.
@Willitinbox · X
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WillItInbox email deliverability tester: send a real message, get 70+ checks, validate recipients with 12 layers, and monitor domains and DMARC.
@Willitinbox · X


审计AI应用的安全漏洞,获取完整检测报告。
u/mrtrly · Reddit
I asked ChatGPT 20 different ways who could fix a half-built app. It never named my company once. I do codebase rescue for founders in exactly that spot, so that one stung. There are already plenty of tools that measure this kind of AI visibility, a CDN even ships one free, so I built mine mostly to see my own number, and it confirmed the bad news: near zero. The measuring turned out to be the easy part. What none of the tools do, and what I actually care about, is the fix: getting the mode

通过 REST API 或 MCP 创建临时邮箱来捕获验证邮件并提取代码。
@anhphong_dev · X

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.

用多个模型实时审计AI回应以判断其可靠性。
u/inc_23 · Reddit
Hey, I created a tool that catches when your LLM is confidently wrong, in production, in real time — looking for beta testers. Your bot sounds sure of itself even when it's wrong, and you usually only find out when a customer complains. Auscope audits every LLM response in the background: 3 models from 3 different providers independently check it, a 4th "chairman" model resolves disagreements, and you get one verdict — verified, uncertain, or unreliable. Runs async, doesn't slow your respon

与AI面试官一起练习编程和系统设计面试。
u/redskinnypete · Reddit
I made an AI interviewer for coding and Design interviews I built an AI-powered mock interviewer that simulates a real system design interview. It listens to your approach, asks follow-up questions based on your design, challenges your decisions, and provides detailed feedback on what you did well and where you can improve. I have tried to make it feel like a real interview as much as I could to simulate the pressure and the expectations in an interview. Please give it a try. Hope you wil

阅读免费的Earnings Call文本或通过API和MCP服务器集成。
@RobGuerra90 · X
Building : access earnings call transcripts via a cheap API or MCP server. Pull any company's call right into your workflow.


Spendict – 为AI生成的广告创意评分,返回投放/修改/停止建议。
ds246 · HN
Spendict – a performance marketer's verdict for AI agents, over MCP

为GitHub仓库运行安全审计,检测密钥泄露、认证问题和部署漏洞。
@emanueldev4 · X
Building Preflight a simple way to catch issues before your website goes live.

Etch: 追踪、重放和验证AI代理的决策,提供签名审计线索。
u/Funky_Chicken_22 · Reddit
OSS to SaaS positioning problem: when the user persona and the buyer persona are completely disjoint Founder here. Sharing a positioning problem I think a lot of OSS-to-SaaS founders hit and don't talk about publicly. Context: I have been running an OSS project (world-model-mcp) with ~2,500 monthly PyPI installs. Two weeks ago I opened up the hosted companion, Etch, at etch.systems. Launched publicly on Product Hunt at 12:00 PDT yesterday. The positioning problem: OSS user persona: in