Education3 weeks ago
晨笙阅读 - AI 驱动的书籍解读与知识分享平台
Explore AI-generated book interpretations and curated knowledge across business, psychology, investment, and health.
晨笙阅读 — 书籍解读平台，AI 辅助+人工校审，提炼经典书籍的核心问题、论证框架与实践洞见，支持分类浏览、全文搜索和主题阅读
The full gallery
Tech stack
18 projects
Explore AI-generated book interpretations and curated knowledge across business, psychology, investment, and health.
晨笙阅读 — 书籍解读平台，AI 辅助+人工校审，提炼经典书籍的核心问题、论证框架与实践洞见，支持分类浏览、全文搜索和主题阅读
Combines Gmail, Calendar, GitHub, and Figma into one daily AI digest.
@CodewithDivine · X
check this out
Try a high-performance React data grid component optimized for enterprise use.
@leethatengineer · X
Building LyteNyte Grid
Free React component library with 80+ glassmorphic designs for Next.js and Tailwind CSS.
@AdeebMirza83 · X
🚀 I just shipped IntelliHelper UI — my Liquid Glass React component library. Try it: GitHub: 80+ components. 5 gorgeous themes. CLI installs in seconds. Frosted chrome that stays quiet. Expressive content panels that pop. Built for Next.js + Tailwind, copy-paste ownership like shadcn, but with a stunning glass design system that feels premium. And yes — official plugins & MCP so Claude, Grok, Cursor & agents actually understand how to use it. Live previews, full source, open source (MIT). What do you think of the glass effect? 👇 Drop your feedback — building in public starts now! #React #NextJS #Tailwind #UI #OpenSource #WebDev #DesignSystem
Browse community-ranked products, services, and companies rated by real people.
@durinthegreat · X
Building and launched - let’s connect!
Vote on product features and see the public roadmap.
u/kaneki0dd · Reddit
Built SignalBoard a $15/mo Canny alternative for feature voting & roadmaps Been building this because Canny charges $79/mo for something that should be simple: let users vote on features, show a public roadmap, ship a changelog. https://preview.redd.it/h2x588h0n8dh1.png?width=1200&format=png&auto=webp&s=c5a4e15c59008ee67b495b7c35e1350d314e257b What it does: Feature voting — verify once, vote with one click after that AI duplicate detection — catches near-identical