开发者工具23 hours ago
AI2Web - Make your website work with every AI, from one place
通过统一 API 层将网站与多个 AI 系统集成。
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@rofarkas · X
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通过统一 API 层将网站与多个 AI 系统集成。
@rofarkas · X
部署网络应用、服务器和数据库，具有自动扩展和监控功能。
@aisolram · X
New rule. = vibe coded. = vibe coded. Still has the default Vercel favicon = definitely vibe coded. Change my mind.
搜索超60,000份第三方测试报告，验证产品的真实成分和纯度。
@Titratelab · X
Love the direction. Partner with us at Built by security & software engineers. We scrape Whatsapp, TG, GLP1forums, Meso, Finnrick, Janoshik, Freedom, peptidechat, and even Discord- where we have over 1 billion messaged logged and analyzed. 70,000 COAs stored in our database from thousands of vendors. Sentimental analysis driven trust signals on all communities. This isn't vibe-coded one-shot scraping; we've developed our own inhouse anti-automation bypasses for nearly every major platform.
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
Flint是为AI代理设计的可视化语言,用于创建交互式数据可视化。
chenglong-hn · HN
Data visualizations are the bridge between user and data. But building AI agents that can generate visualizations reliably can be very tricky: - simple chart specs can be reliable, but generated charts are often of low quality due to reliance on system defaults; - complex chart specs with explicit details can produce good-looking charts, but they are verbose and agents can struggle with reliability We figured out it is a limitation on the language issue (not just AI capability thing) -- current visualization languages are a bit too low-level for AI agents, requiring them to explicitly make visual decisions that are supposed to be handled by a good compiler. Flint is a visualization intermediate language to address this issue, allow AI agents to solve this last-mile human-agent interaction problem. It provides a simple semantic-type based specification, and contains a layout optimization engine that can produce good-looking charts (filled with derived low-level details) from simple
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
用单一API发送WhatsApp、短信、OTP码和事务性邮件。
@amifideles_ · X
Built SendAPI, solving the complexity of managing multiple messaging providers by bringing WhatsApp, SMS, OTPs, and transactional emails into one API. Built for developers and startups.
管理学术机构中的教师数据、职级、晋升和教学工作量。
@FalhdirA · X
Check out what I just built with Lovable!
为开发者设计的笔记应用，支持代码块、看板管理和GitHub导入。
@SinghApurv1711 · X
Hey! Check it out here:
