
attestd | CVE API for Machine-Readable Vulnerability Risk Signals
将CVE漏洞数据转换为机器可读风险信号,供AI代理和自动化系统使用。
robert_marshall5 · Product Hunt
attestd CVE and supply chain risk signals for autonomous AI agents.
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将CVE漏洞数据转换为机器可读风险信号,供AI代理和自动化系统使用。
robert_marshall5 · Product Hunt
attestd CVE and supply chain risk signals for autonomous AI agents.

用AI验证初创想法,找到竞争对手并提出转向建议。
@ArchieHashani · X

为任何网站添加表单处理功能,包括验证、垃圾邮件阻止和智能潜在客户路由 - 不需要后端。
@evcodebr · X

拖放文件来生成密码学证明它们未被改动——完全在浏览器中验证
@WiseEstSystems · X

批量检查多达 1,000 个 URL 的 HTTP status codes,获得实时结果和 CSV 导出。
@bulkhttpstatus · X

提交你的创意,获得34+个AI代理的验证反馈。
@marcus_b1973 · X
Honest AI panel validates your idea before you build it.

Mailthentic 验证邮件地址和检查域名,改善投递率。
@mailthentic · X

托管 JSON 数据库,用于存储 agent 内存,具有 REST 和 MCP 连接能力
@StuSim · X
hey Adam, I run , lightweight agent memory

使用 AI 创建和自定义交互式 widgets,并将其嵌入任何网站。
@fugteapp · X
which empowers nontechnical users to be able to customize code generated by AI or developer, and be able to share and embed it to the website they are already using

在发布前检查AI生成内容中的错误和安全问题。
u/Brief_Dust8845 · Reddit
I pivoted from my initial idea after realizing I was solving the right problem at the wrong time When I started building GaaS Guard, it was an AI governance tool for companies. The idea was to help organizations defend against prompt injection and unsafe AI interactions. It was technically interesting, and I still genuinely believe I was solving a real problem. The problem was, it just wasn’t selling—to be brutally honest. Here’s how I actually ended up pivoting. I started using a b

粘贴你的 URL,查看你的应用暴露了哪些客户数据。
@artem_vysotskyi · X
I'm building exactly what u need mates: 1. to find security leaks in ur vibe-coded apps and fix them 2. to track ur links in X replies => like the link above

免费的 API 测试、监控和分析平台,提供实时洞察。
@SajidAbuba74138 · X
A tool for developers