开发者工具2 hours ago
JSON Validator, Formatter & Repair — JSONValidator.in
在浏览器中即时验证、格式化和修复JSON。
@AniketMishra00 · X
world's first JSON Intelligence platform.
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在浏览器中即时验证、格式化和修复JSON。
@AniketMishra00 · X
world's first JSON Intelligence platform.
通过 Reddit、HN 和应用商店反馈验证创业想法。
@daicandev · X
Building proven, the tool that gets your product from idea to growing income
110多个免费开发工具无需上传、服务器或注册，在浏览器中完全运行。
@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
Zero-setup JSON database for AI-generated app frontends with encrypted persistence.
@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:
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AI验证初创想法，找到竞争对手并提出转向建议。
@ArchieHashani · X
批量检查多达 1,000 个 URL 的 HTTP status codes，获得实时结果和 CSV 导出。
@bulkhttpstatus · X
在发布前检查AI生成内容中的错误和安全问题。
u/Brief_Dust8845 · Reddit
I pivoted from my initial idea after realizing I was solving the right problem at the wrong time When I started building GaaS Guard, it was an AI governance tool for companies. The idea was to help organizations defend against prompt injection and unsafe AI interactions. It was technically interesting, and I still genuinely believe I was solving a real problem. The problem was, it just wasn’t selling—to be brutally honest. Here’s how I actually ended up pivoting. I started using a b
免费的 API 测试、监控和分析平台，提供实时洞察。
@SajidAbuba74138 · X
A tool for developers
使用托管 Postgres、身份验证、实时订阅和自动生成的 API 构建后端。
@im_pradee_p · X
Backend as a service
跨14个维度分析Python代码，检测违规并提供详细报告。
@KSFirasa · X
Hello! I built a tool that profiles code (python only atm) across 14 dimensions detecting violations and capabilities outputting a full report. A bit more nuanced than "AI-powered insights". Free while in beta. Thank you!
为AI应用提供MCP服务器、REST API和行级安全的后端服务平台。
u/bob__io · Reddit
What we learned from trying to turn vibe-coded prototypes into production SaaS applications Founder here. While developing MCPBackend, we noticed a major difference between generating a convincing application demo and building a maintainable SaaS product. AI coding tools are increasingly capable of generating interfaces, routes and even initial application logic. But a production application still needs: a reliable data model authentication and authorization backend validation