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nextbunny - Visually Build Production Ready React & Next.js
NextBunny：可视化构建生产级 React & Next.js 应用，导出整洁代码。
@MahatiSingh · X
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NextBunny：可视化构建生产级 React & Next.js 应用，导出整洁代码。
@MahatiSingh · X
精心编制的 React 组件和模板库，用于构建精美的用户界面。
@polyqoy · X
This video shows a fully animated 3D site built in 2 minutes with claude code. one terminal command. but the prompt was almost irrelevant. the real work was the pre-load: ui/ux pro max skill, a hero component from framer motion stacked in before claude touched anything the toolkit did the job. the prompt just pulled the trigger. that's also why most people's claude output looks generic. they skip the setup and blame the model.
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:-
试试这个高性能的 React 数据网格组件，已针对企业使用优化。
@leethatengineer · X
Building LyteNyte Grid
自动将提示词路由到最便宜的模型，节省API成本。
u/ASDKING100 · Reddit
Launched an AI API router tonight, and found a bug hours in that would've taken real payments without ever upgrading the account Built LLMLite over the past few weeks — it classifies each prompt and routes it to the cheapest model that can actually handle it, instead of hitting GPT-4o for everything. Free tier, no card needed to try it. Tonight, right as I was about to launch, ran a real transaction to test the payment flow end to end. Paddle processed it, webhook fired, signature verified
编写 React 邮件模板和 TypeScript 自动化，然后随应用部署。
@stewartjarod · X
提供60+个滚动驱动分区过渡效果的React库,用于现代网站。
@itz_sayan_03 · X
Ever wondered how cinematic scroll-driven websites are built? 👀 Meet SectionFlow—an open-source React library with 60+ ready-to-use section transitions, a one-command CLI, reusable sections, and optimized performance. 🚀
Ornymo通过语义缓存减少LLM查询成本和延迟。
u/ornymo_official · Reddit
how to reduce ai costs there are lots of way to reduce costs but there all complex to setup i know this cause i tried one in production so i built ornymo we cache meaning not the exact string allowing us to give same awnsers thus reducing llm costs and latency check it out at ornymo.com free for a limited time and let me know your feedback submitted by /u/ornymo_official to r/buildinpublic [link] [comments]
通过 API 或 URL 替换将 X posts 转换为干净的 Markdown，供 LLMs 和 agents 使用
@larsbuilds · X
查看LLM模型在10个基准问题上的评分和排名。
fristovic · HN
She watched me look at model rankings and asked what do the numbers mean... I literally had no good way of explaining it to her so I just came up with something that is approximately in the same ballpark as some of the benchmarks out there lol
查看 LLM 成本数据,按模型和环境分类,获取优化建议。
ATsimbalistov · HN
Show HN: Tracking GenAI cost and endpoint fragility so app teams don't have to
