
Scoply - Scope Creep Detection for SaaS Teams & Freelancers
AI工具,通过分析会议记录检测范围蔓延,为代理商和自由职业者标记风险。
@theshaunak_twit · X
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AI工具,通过分析会议记录检测范围蔓延,为代理商和自由职业者标记风险。
@theshaunak_twit · X

检查 RAG 块并可视化 AI 代理工作流、内存架构和执行轨迹。
@Higgs0110 · X

将CVE漏洞数据转换为机器可读风险信号的API,用于自动化。
robert_marshall5 · Product Hunt
attestd CVE and supply chain risk signals for autonomous AI agents.

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 AI 扫描简历,获得 ATS 评分、关键词分析和优化建议。
@Yashsha26424549 · X

Ornymo通过语义缓存减少LLM查询成本和延迟。
u/ornymo_official · Reddit
how to reduce ai costs there are lots of way to reduce costs but there all complex to setup i know this cause i tried one in production so i built ornymo we cache meaning not the exact string allowing us to give same awnsers thus reducing llm costs and latency check it out at ornymo.com free for a limited time and let me know your feedback submitted by /u/ornymo_official to r/buildinpublic [link] [comments]

用于 AI 应用中展示工具和集成的 React 组件库。
u/wommmmmmmmm · Reddit
Open Source React library for every tool your agent calls I built an open-source React library for every tool your agent calls. Think Composio / Scalekit but for the frontend, so you can render shadcn components for any popular tool in your frontend instead of hand-rolling something custom for every project. Fully provider agnostic (does not matter what tool API you use). Do check it out and lmk what you think :). I built this because I needed it for another project I am building, and tho

用 7 个扫描器扫描 Web 应用漏洞,获取 AI 修复建议和 PDF 报告。
@hexorasec · X
Paid Hexora accounts now get PDF security reports. Every finding with evidence, CVSS scores, remediation steps, and AI fix prompts, in a report you can hand to a client or keep for compliance. Live for Starter, Pro, and Max. #buildinpublic #vibecoding

粘贴GitHub仓库,生成包含概览、阅读路径和流程图的AI入门指南。
@VirendraSi10558 · X
Top 30% out of 2,989 in the OpenAI x @namastedev_ Codex Hackathon 🚀 RepoPilot: turns any GitHub repo into a guided onboarding flow (analysis + AI explanations + diagrams). Planned with Codex, built with Claude Code. @akshaymarch7 @OpenAI #Codex