
Nexvyn/UI
浏览和使用预构建的 React components,配备精心设计的 motion design
@nexvyn · X
I'm building a component library focused on purposeful motion Link:-
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浏览和使用预构建的 React components,配备精心设计的 motion design
@nexvyn · X
I'm building a component library focused on purposeful motion Link:-

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

将 OpenAPI 规范和数据库转换为 MCP 工具,无需编码。
mhmt_dmr · HN
MCP Gateway – Turn existing APIs and databases into MCP servers

在浏览器间直接共享文件和文本,无需服务器存储或登录
@bytestreak · X
Building a frictionless, forever free file sharing utility tool. Check it out here:

通过加密URL分享代码、笔记、脚本和AI内容。
@parrotwiki · X
one url. everything they need. code, notes, scripts, keys. end-to-end encrypted. 🦜

通过SocialCrawl的统一API从44个社交媒体平台提取数据。
u/dooddyman · Reddit
I launched 2 SaaS. First failed brutally. Second hit $5k MRR in 3 months. What worked and didn't. tldr: My first AI SaaS failed because I built blindly, outsourced marketing, and had no clear ICP. My second product hit $5k/mo in 3 months because I built an audience first, obsessed over SEO and distribution, and targeted a specific niche. I launched my first AI SaaS last year, kept it alive for about a year now. It's making less than $50 mrr and i'm thinking of closing it. Here's what went

从任何网站即时提取代码、设计令牌、字体、颜色和媒体资源。
@bharatmodi2014 · X
Extract code, design tokens, fonts, colors, and media instantly. Save everything to the cloud, organize your library, and regenerate designs with your favorite AI.

Edge Python 是一个在浏览器中运行的轻量级 Python 解释器。
dylansuttonc · HN
When I started programming Edge Python more than six months ago, I was looking for a version of Python that weighed less than 200 kb so it could reach any device, sandboxed by design, built with browsers in mind, decoupled from the operating system and very fast. Today the closest competitor would be MicroPython. However, it did not solve my real problems or the problems of the people who use the project. * Managing async and blocking code on the event loop. MicroPython inherits CPython's blocki

JavaScript和TypeScript代码审查工具,使用AI无需执行代码即可识别问题。
@adib_011 · X
Built RepoLens at the Codex Meetup, an evidence-first JS/TS code review tool that shows reviewers where to look, without executing repository code. Built with Codex + GPT‑5.6. Try it: Demo: @OpenAIDevs @mitul_shahriyar #CodexMeetup