@ugo_builds · X

@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. 🚀

Action Figure AI — 用 AI 将照片转成手办图

parweb · HN

Detecting AI-written copy without an LLM (deterministic, client-side)

@VShanDev · X

互联网大厂工作4年被裁，正好最近OPC概念很火，无意中发现了@gefei55 哥飞的社群，目前刚进社群一周，干货是真的多，学习路径也很全。 今天看完电影八仙，用了一个小时上线了一个个人娱乐的八仙MBTI测试网站： 算是跑通了一个流程。 后续会上更多站，争取早日收到出海第一刀！

marcushuang4595 · V2EX

给《八仙！》做了个非官方影迷资料站，顺便实践中文内容 SEO 最近关注到动画电影《八仙！》，发现上映信息、角色资料和传统传说容易混在一起，于是做了一个非官方中文影迷站： https://baxianwiki.com/?utm_source=v2ex&utm_medium=community&utm_campaign=launch 目前做了这些内容： - 上映时间、片长、儿童观影建议等观影指南 - 八位角色资料页，以及电影设定/传统原型的明确区分 - 人物关系页、电影与传统传说对照页 - “你是哪位八仙”性格测试和八仙知识挑战 - 基于 Redis 的观后感区，支持评分和剧透折叠 - sitemap 、robots 、结构化数据、移动端适配和内容型内链 技术上是 App Router 风格项目，经 Vinext/Nitro 输出到 Vercel ，论坛数据放在 Redis 。页面主要面向国内移动端访问，所以在视觉、首屏信息密度和交互尺寸上做了针对性调整。 这个项目主要是练习中文内容站、长尾关键词页面和轻交互，不准备做盗版下载或激进变现。网站也明确标

u/Rabus · Reddit

I got TestingModels too overcomplicated over the month it is running: looking for some feedback how to make it more useful and simpler I run a benchmark like arena.ai , but with pre-generated prompts. So far, nearly 6k people came in and like 30k comparisons has been made - which means the thing is genuinely useful for people to compare the models. The problem is the more features i started adding the more overblown and complicated UI became - like old internet explorer tab bars Old: ht

@Berbir12 · X

Dense reading shouldn’t stop your momentum. Highlight the passage that isn’t clicking. Strang turns it into a short visual explanation, right inside your browser. One complete video is free.

apoorvumang · HN

TokenPath – token-level citations for LLM output, read from attention

@promptcarrot · X

@gapp_so · X

你好你好，我是 期待你的回复！

@sadmandu55 · X