@VeganVegan75738 · X

做了一个免费的 JSON 格式化工具。 支持： ✅ JSON 格式化 ✅ JSON 校验 ✅ 在线使用 ✅ 无需安装，数据不上传 开发者日常调试 JSON 可以直接用： #开发者 #前端开发 #工具

@bhushankuma491 · X

@kitbasedev · X

We just launched, check us out at

@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.

@SupportFixzi · X

Building an API monitoring tools which allows you to know when your AI breaks, before your users do. It has an API monitoring tool and an AI schema validator in it. This is a solution that can ensure your customers trust your app.

@dhairyadarji786 · X

Tired of database setup for simple AI/Cursor prototypes?I built CloudState: a zero-config cloud database for vibe-coding. ⚡Get a secure JSON endpoint in 10s 🤖 Custom prompts for Cursor/Bolt/v0 to sync state via fetch Check it out:

@bhavin_Confuse · X

BEHAVR ( @Behavr_AI ) — chat with any video instead of scrubbing through it. Ask "where does he fix the CORS bug?" → get the answer with the exact timestamp.

@abhilakshharora · X

Just launched DevTab on Product Hunt 🚀 110+ dev tools that run 100% in your browser. Zero server calls. No signup. Free forever. Would love your support 🙏 → #buildinpublic #DevTools

@to_excel71850 · X

@Supportpintutec · X

Just launched QuickTools — 8 free online tools 🛠️ Word Counter • JSON Formatter • Password Generator • Color Picker 100% browser-based, no signup 🔗 #SideProject #WebDev #FreeTools #BuildInPublic

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

@StuSim · X

hey Adam, I run , lightweight agent memory