
Xaminix — AI Answer Evaluation for CA, CS & CMA Students
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Xaminix
AI Powered Answer Evaluation for CA/CS/CMA
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上传手写考试答卷,获得即时AI评分和详细反馈。
Xaminix
AI Powered Answer Evaluation for CA/CS/CMA

创建共享白板,进行素描、头脑风暴、分配任务和协作。
@claroboard · X
I built a whiteboard. The hardest part wasn't the coding. The hardest part was getting the first users. Want to give it a try?

通过四个游戏模式比较真实世界杯数据,猜出更大的数字。
@TheEditorDiary · X
I’ve have “made” (vibe coded) and app to test your Word Cup knowledge. It’s some normal stats, some unhinged Please test it out


Trendoff:实时1v1对战,由端侧AI评判。
german_merlo1 · Product Hunt
Trendoff Live 1v1 trend battles, judged by AI

《八仙!》影迷资料库,含角色资料、性格测试和社区评论。
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

连接 Strava、WHOOP 和 Garmin 的 AI 教练,提供个性化训练指导。
daniel_s · HN
My triathlon coach (not a human) now texts me on iMessage

AI驱动的活动规划平台,可管理参与者并分析活动数据。
@Puneet626 · X
hi, let's connect, i'm building

管理学术会议:提交和审阅论文、处理日程安排和注册。
@harryjwang · X
I've used many of the major conference systems. Plenty still have docs as an unsearchable static site — or worse, as PDFs that stopped tracking the product three versions ago. Somehow, still true in 2026. We took an AI-first path with instead. Our docs are generated from the codebase itself. A custom Claude Code skill writes each page and retakes the screenshots whenever a feature changes — so the docs don't drift from the product. Every page still gets reviewed by a human before it ships. Now you can talk to them, too. We just shipped "Ask AI" over our docs: This feature also turned out to be a nice teaching case for agentic RAG vs. classic RAG: • Classic RAG: chunk → embed → vector DB → retrieve once, by fixed rules • Agentic RAG: hand the model a search tool and let it drive — write a query, read the results, rewrite, retry At more than 100 pages, still no vector database needed. And every answer cites the exact page it came from. #Age

实时查看朋友在LoL排位赛中的段位、LP、胜率和最近比赛。
@lippi304 · X
▎ I build small apps that solve my own annoyances. ▎ ▎ 🏝️ Islet — Dynamic Island for macOS ▎ 📊 rankd — live LoL rank overlay, no alt-tab ▎ ▎ Built solo with Claude Code. ▎ [ ▎ [