
Aurora — Glass-Box Quantitative Intelligence | Local AI Verification Cortex
Aurora - 本地AI代理验证系统,提供透明的推理过程和MCP集成。
brandon_grutkowski · Product Hunt
Aurora Glass-box Quantitative AI for Humans and Agents
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Aurora - 本地AI代理验证系统,提供透明的推理过程和MCP集成。
brandon_grutkowski · Product Hunt
Aurora Glass-box Quantitative AI for Humans and Agents


@heisoreo @X 正在构建 Invoiced 🚀 一个为自由职业者和小企业打造的 AI 驱动发票平台。目前专注于发票、分析、认证和 AI 工作流的开发。正在构建 i
@Wesleycolesdev · X
Building Invoiced 🚀 An AI-powered invoicing platform for freelancers and small businesses. Currently working on invoices, analytics, auth, and AI workflows. Building in public. Feedback welcome! 🙌 🔗

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.

团队聊天工作空间,整合分散在聊天、文件和反馈中的工作。
@AmaaN_AshiF · X
I Built this for 2 weeks with Claude code It’s now a working beta Product A chat first workspace for teams whose work gets scattered across chats, files, feedback and project tools. Free to try right now.

Invosi:创建品牌发票、收集付款、处理增值税和自动提醒的在线服务。
@saadr234 · X
Test it out all! I bet you will save you so much time.

将SaaS产品链接粘贴进来,让AI营销团队自动生成视频和广告
@GaneshNayak__ · X
— an AI Marketing Team for B2B SaaS founders. It generates motion graphic SaaS videos, image ads, and carousel ads on autopilot — no editor, no designer needed. Check it out 👇

使用重放的生产traces测试 AI agents,重现bugs并发现regressions。
aisinghal

在文本和文档中检测 AI 生成的内容,包含逐句分析和可导出报告。
Detector de IA — 西班牙语优先的 AI 文本复核网站,可检查粘贴文本和文档,查看概率信号、句子高亮和可导出报告

预测设备的寿命终期、安全风险和转售价值,决定是否保留、出售、维修或升级。
@teck_baby · X

统一客户支持收件箱,支持 WhatsApp、Telegram、Instagram、邮件和短信,配备 AI 自动回复。
artur_aiupov · Product Hunt
Messello One AI inbox for WhatsApp, Instagram, Telegram, and email

在代码合并时强制执行策略并审计AI辅助的更改。
@Scyloq · X
Currently building SentrAI. The merge-time control plane for AI-assisted software development. Enforce policy, audit every AI-generated change. Just finished an interactive demo and would love your honest feedback. Built with @Lovable