
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.
完整作品展
技术栈
60 projects

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.

用可视化无代码构建器创建和部署 AI 工作流及智能体。
@RanRan1357699 · X
Just shipped a smart guardrail in experiments: if your flow needs test data, it now blocks runs with a friendly prompt and offers one-click AI-generated samples. No more silent all-fail runs! Small details, big peace of mind. #BuildInPublic

Greenline:实时追踪烧钱率、跑道和部门支出,一键生成投资方报告。
@greenlinebudget · X
financial tool for startups:

在智能代理笔记本中构建、运行和评估机器学习工作流。
eldar_hsnv · HN
Show HN: AI Notebook for Data Science – Kind of Like Cursor but for Jupyter

用对抗测试检查LLM端点安全,获取OWASP审计报告。
@aryaan_sheth · X
- LLM security for small teams

以安全链接分享文档,追踪每页的查看者。
@adhikari_premi · X

SpecParse 将工程PDF表格自动转换为格式化的Excel工作簿
@SpecParse · X
Convert Complex PDF Tables into Styled Excel Workbooks

通过端到端加密链接分享代码、笔记、脚本和AI上下文。
@parrotwiki · X
one url. everything they need. code, notes, scripts, keys. end-to-end encrypted. 🦜

Vulnsy是为安全团队提供的渗透测试报告平台,可10倍快速交付客户报告。
@TurvSec · X

用你的LLM API密钥分析Hacker News公开个人资料。
Topfi · HN
Like everyone on HN, I love nothing more than to (re)read my own comments. Getting my intuition that I am among the smartest, most humble, highest quality commenters on here confirmed by an LLM so capable that the US government had to temporarily export restrict it [0] seemed only natural. Having had my perfection confirmed, I decided to share this joy with you as I had a few percent usage left before a reset. I took a few prompts, then did a review of the output which resulted in Selbstbild, a BYOK (Anthropic / OpenRouter) web app that gives you a summary and assessment of your public comments by one of our machine Gods, including Fable 5 (provided your can afford that luxury at API pricing). In all seriousness, I have, for a long time, used my own comments on social media (including HN) as part of a personal needle-in-haystack test, simply because I do know my somewhat peculiar style and what I tend to write, but also because I can sometimes write in a slightly confusing manner, ma

用防守评分、护城河分析和竞争差距来验证SaaS理念。
@saralsachan · X

上传数据集自动发现具有统计意义的相关性和因果关系。
@matthew_meadows · X
Correlation Studio - Discovery Mining • Causation Analysis A powerful new SaaS statistics application that brings the insights of correlation data science to everyone. Data science without the code.