
Weltomat
Weltomat - 为旅行者和数字游民设计的多币种支出和预算工具。
@andrejbuday · X
And th second one - - with completely new OG:image
完整作品展
技术栈
37 projects

Weltomat - 为旅行者和数字游民设计的多币种支出和预算工具。
@andrejbuday · X
And th second one - - with completely new OG:image


直接在浏览器中编写和运行 Wado 编程语言代码。
gfx · HN
Building a Rust-ish programming language with 100% coding agents: Wado

个性化学习、ACT/SAT备考、作文支持和100多语言音频辅导。
@vrajshroff · X
Personalized learning for students

Owl 猫头鹰:免费检测小红书、公众号、抖音等平台的敏感词和违禁词。
Owl 猫头鹰 — 小红书公众号在线敏感词检测工具。我做了半年自媒体之后才发现需要规避平台敏感词,但是之前用的工具停服了,市面上其他的需要登录或者关注他们的公众号才可以使用,于是我 vibe coding 了一个敏感词检测工具,词库是根据网上找的,精简下来有 6 万多个。用了 cloudflare 的开发者穷鬼套餐,所以每人每天限制 10 次,主要是防止第三方调接口把额度耗完大家都没得用,应该对于

支持15+语言的免费在线IDE,包括云工作空间、代码面试和交互式课程。
aashhuttossh · HN
Codeground – run and share code in the browser

用你的LLM API密钥分析Hacker News公开个人资料。
Topfi · HN
Like everyone on HN, I love nothing more than to (re)read my own comments. Getting my intuition that I am among the smartest, most humble, highest quality commenters on here confirmed by an LLM so capable that the US government had to temporarily export restrict it [0] seemed only natural. Having had my perfection confirmed, I decided to share this joy with you as I had a few percent usage left before a reset. I took a few prompts, then did a review of the output which resulted in Selbstbild, a BYOK (Anthropic / OpenRouter) web app that gives you a summary and assessment of your public comments by one of our machine Gods, including Fable 5 (provided your can afford that luxury at API pricing). In all seriousness, I have, for a long time, used my own comments on social media (including HN) as part of a personal needle-in-haystack test, simply because I do know my somewhat peculiar style and what I tend to write, but also because I can sometimes write in a slightly confusing manner, ma

通过分级新闻学习英文,内含词汇学习和测验工具。
News In Simple — 基于 AI 的英语学习新闻网站,提供初、中、高三级分级新闻及配套阅读、听力、词汇和测验素材

浏览AI辅助的书籍解读,涉及商业、投资、心理学等多个领域
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

将自然语言描述转换为生产就绪的后端API和服务
u/yousefemz · Reddit
18 months ago we weren't sure it was possible. Today we launched it. We kept asking ourselves one question for a year and a half: can an AI actually design a scalable backend from a description of how it should behave, not demo-ware, something that holds up in production? We didn't know. Some weeks it felt like the answer was no, or that we'd end up with code that looks right and falls apart the second real traffic hits it. We just launched it. You describe how your backend should behave,

可视化语言模型在各层回答前的思考内容。
ada1981 · HN
I built a web tool to see and edit what an AI thinks before it answers

在文本和文档中检测 AI 生成的内容,包含逐句分析和可导出报告。
Detector de IA — 西班牙语优先的 AI 文本复核网站,可检查粘贴文本和文档,查看概率信号、句子高亮和可导出报告