Hi HN, I built PushToPost ( https://pushtopost.com ) to automate the tedious parts of shipping. It analyzes GitHub diffs via webhooks to generate platform-native social posts and SEO-friendly changelogs. One of the main goals is using JSON-LD schema so the changelogs get indexed and cited properly by AI search engines like Perplexity or ChatGPT. I'd love to hear your feedback on the workflow and the technical implementation! Comments URL: https://news.ycombinator.com/item?id=47816357 Points: 1 # Comments: 0
GAI is a flexible Go library for building agent-style applications on top of LLMs Comments URL: https://news.ycombinator.com/item?id=47816285 Points: 1 # Comments: 0
感觉自己太久没有自己写过前端UI了，最近想干什么全交给AI了，最近想想要不像自己几年前以前那样写个网页小工具，然后就有了这个玩意 一个随便产生的想法，本来打算直接AI掉的，结果还是自己写了 我的想法是抄一下终末地官网先做个加载界面，再搞几个游戏内的UI组件上去 加载画面的话我没有完全照搬，而是搞了循环动画，反正我自己挺满意的，组件的话抄起来太麻烦了，还得给按钮搞背景图片，我直接偷懒搞纯色，感觉还是不太对味，算了就这样吧 然后数据分析和导出docx是AI写的，说白了还是懒~ 今天一天之内干的，不知道佬友觉得这个玩意如何 链接在这里 （其实还有好几个域名） ： t.ftz.is-a.dev 《明日方舟：终末地》集成工业助手提示词生成器 终末地真好玩 1 个帖子 - 1 位参与者 阅读完整话题
No self-reporting. Only code. Built a platform that tries to infer what you know from your actual work. Comments URL: https://news.ycombinator.com/item?id=47815869 Points: 1 # Comments: 0
Email Signature Builder that is completely free, supports placeholders, and with WYSIWYG / HTML Editor you're completely free to build it your way. Comments URL: https://news.ycombinator.com/item?id=47815858 Points: 1 # Comments: 0
TestingCatalog – 17 Apr 26 Exclusive: Early look at Grok Computer and Grok Build xAI is set to launch Grok Build and Grok CLI next week, with Grok 4.3 Early Access already live for Grok Heavy subscribers on web and mobile. Grok Computer is likely planned as an Electron-based desktop app. 2 个帖子 - 2 位参与者 阅读完整话题
I built LogsGo as a learning project to explore log ingestion, querying, and storage tradeoffs. It’s a small Go-based system where logs come in over gRPC, land in memory first, then flush into local storage and optionally S3-compatible object storage. I also added a simple query language plus a small UI to inspect log occurrences over time. This wasn’t built because I think the world needed “another logging system” or because I’m an expert here. I mostly wanted to learn by building something end to end: ingestion paths, storage layering, querying, retention, auth/TLS, and some UI work. Repo: https://github.com/Saumya40-codes/LogsGO I’d genuinely appreciate feedback, including “this design is wrong for X reason” type feedback. If parts of it feel overengineered / naive / badly thought through, that’s useful for me too. Comments URL: https://news.ycombinator.com/item?id=47815402 Points: 1 # Comments: 0
Article URL: https://github.com/Higangssh/pvm Comments URL: https://news.ycombinator.com/item?id=47815391 Points: 4 # Comments: 0
今天又看到QuiverAI 发布 Arrow 1.1 SVG 生成模型发布，近些这种SVG生成模型好像比较多想求问一下论坛的各位大佬这种类型的模型一般有哪些用途？我个人能想到的是做UI/UX 设计然后就是科研绘图，最主要的还是科研绘图，想问一下有没有佬实操过这类专门为SVG生成的AI绘制一般的科研的图效果如何？ 1 个帖子 - 1 位参与者 阅读完整话题
微软最近释出了预览版 Windows 11 Insider Preview Build 26300.8170，其中一项变化是将 FAT32 分区大小从 32GB 增加到 2TB。FAT32 分区大小限制在 32GB 是微软开发者随手设置的，几十年来一直没变，导致当存储卡和 U 盘容量超过 32GB 时，用户只能选择 exFAT 或 NTFS。现在微软终于移除了这一限制，但该大小限制仍然只在命令行里移除。
I got tired of maintaining two files that describe the same thing: an OpenAPI spec for documentation and a Postman collection for testing. They always drift. Someone updates the spec, forgets the collection. A new engineer joins and runs outdated tests against an endpoint that was changed two months ago. VolcAPI lets you define test scenarios directly inside your OpenAPI spec using a custom extension (v-functional-test), then run them from the CLI. Single source of truth. It's a Go binary no runtime, no node_modules. The goal is for it to drop into GitHub Actions with zero friction once JUnit XML output lands (in progress). Repo: https://github.com/aliamerj/volcapi This is early alpha. GET/POST/PUT/DELETE work, response validation works, environment configs work. CI output formats are the next thing I'm building. Honest question for the HN crowd: is the "spec as test suite" concept something you'd actually use, or do you prefer keeping tests separate from the spec? I've gone back and forth on this and would genuinely like to hear from people who've felt this pain. Comments URL: https://news.ycombinator.com/item?id=47814655 Points: 1 # Comments: 1
Article URL: https://github.com/AssafWoo/homebrew-pandafilter Comments URL: https://news.ycombinator.com/item?id=47814614 Points: 3 # Comments: 0
无论是在vscode的插件中使用，还是各种版本的gui中，都有一个通病 那就是: 可能ai还在回复，还在执行，因为时间比较长，或者是网络有延迟，或者是输出的信息让gui工具以为这就是最终的回复结果了，然后就戛然而止 即使他说接下来执行什么什么，但是界面中就是已经停止了， 看图： 这个是我使用的是vscode中的插件，昨天感觉很顺滑，今天更新了一下，然后又开始了 其他的gui工具有同样的通病，还是老老实实回到cli吧 1 个帖子 - 1 位参与者 阅读完整话题
codex新版tui的context显示太傻了吧... 搞七捻三 [image] ？？？？？ 随手升了个级 之前好好的百分比 怎么换成了进度条了。。。从一眼看变成要预估了。。。 [image] 原来已经有人反馈了啊 [image] 好的 说的是根据用户反馈改的。。 然后被15个 是何意味 前几天刚提这个，那时候也有不少issue说这个问题。 今天更新到0.121.0 百分比居然回来了 不过… 这又是什么新活？ 8 个帖子 - 6 位参与者 阅读完整话题
Hi HN, I'm the builder. I realized that using cloud AI APIs for sensitive workflows—like transcribing board meetings, OCRing employment contracts, or cleaning up ID photos—is a massive privacy liability. So I built a client-side workspace using transformers.js, Whisper, and WebGPU. Everything runs locally. You can turn on Airplane Mode after the initial model load, and it still transcribes and extracts text perfectly. To keep myself honest, I wrote a technical audit of how the data flows (or rather, doesn't flow). My only backend is a tiny 2-core node in Singapore running self-hosted Plausible analytics: [ https://gist.github.com/ygx2378/3275b333504c6a9def50ef531b54... ] I'm still learning the ropes of browser-based memory management, so I'd love your feedback on how the models load on your specific GPUs! Comments URL: https://news.ycombinator.com/item?id=47813703 Points: 1 # Comments: 0
项目介绍： 基于Vue 3、Tauri 2、Naive UI的极简Windows 桌面应用模板，用于快速开发桌面程序。 整体风格为：深色+ 半透明+ 极简工具感+ 轻微动效的Mica 风格桌面应用模板。 项目地址 github.com GitHub - llds66/vetra: 一个极简的 Windows 桌面应用模板，基于 Vue 3、Tauri 2、Naive UI 和... 一个极简的 Windows 桌面应用模板，基于 Vue 3、Tauri 2、Naive UI 和 UnoCSS 截图 本帖使用社区开源推广，符合推广要求。我申明并遵循社区要求的以下内容： 我的帖子已经打上 开源推广 标签： 是 我的开源项目完整开源，无未开源部分： 是 我的开源项目已链接认可 LINUX DO 社区： 是 我帖子内的项目介绍，AI生成、润色内容部分已截图发出： 是 以上选择我承诺是永久有效的，接受社区和佬友监督： 是 以下为项目介绍正文内容，AI生成、润色内容已使用截图方式发出 1 个帖子 - 1 位参与者 阅读完整话题
Built InGaming as a frontend MVP for the iGaming space, with two main parts: 1. a back-office admin for casino / gambling operations 2. a multi-brand storefront system for casino sites The starting point was simple: in all the years I’ve worked around iGaming, I haven’t seen a single admin panel I’d call genuinely good. Most of them are either bloated, awkward to use, or patched together from disconnected tools that don’t really fit how teams work day to day. So I decided to build the kind of admin I actually wish existed. On the admin side, the MVP includes flows for players, payments and transactions, casino and sportsbook operations, content and static pages, reporting, and website configuration. On the storefront side, I built a separate frontend repo to validate a multi-brand setup on shared foundations. Right now that includes two demo brands: BetStake and ShipBet. Important caveat: this is frontend work and product validation, not a finished end-to-end platform. I’m treating it as an expanded MVP that is already strong enough to be a serious starting point, rather than just another rough concept. What I’m really trying to figure out now is whether this is already valuable as a project someone could buy as a head start. My view is that it could save a lot of time for a team that would otherwise need to build the admin, storefront layer, and overall product structure from scratch. Happy to answer product or frontend architecture questions. Comments URL: https://news.ycombinator.com/item?id=47813386 Points: 1 # Comments: 0
想让claude给我的app ui给个意见，claude直接给我画出来新ui了 惊讶到我了 2 个帖子 - 2 位参与者 阅读完整话题
求佬们推荐开源的指纹浏览器，要带GUI的。 PS：有佬知道VirtualBrowser吗？我看之前有人说这个不是开源的（虽然在github上面） 3 个帖子 - 2 位参与者 阅读完整话题
IT之家 4 月 18 日消息，科技媒体 testingcatalog 昨日（4 月 17 日）发布博文，报道称埃隆 · 马斯克（Elon Musk）旗下 xAI 公司有望进军智能编程领域， 可能会在下周推出 Grok Build 与 Grok CLI 两款产品。 此举标志着 xAI 正式进入智能编程赛道，将与 Claude Code、OpenAI Codex 及 Google Jules 等主流工具展开直接竞争。 在核心模型层面，xAI 已悄然推送 Grok 4.3 Early Access 测试版，目前仅向 Grok Heavy 订阅用户开放。这一进展改变了 Grok Build 的技术路径：xAI 可能不再单独开发专用编程模型，而是直接依托 Grok 4.3 支撑编程功能。 产品形态上，Grok Build 采用双轨运行机制，用户可通过 CLI 智能体在本地执行任务，也可通过 Web 界面远程操作。目前尚不清楚本地执行的具体机制，不过该媒体认为基于 Electron 的桌面封装方案可能成为最优解。IT之家附上相关演示如下： 功能创新方面，Grok Build 预估引入 Parallel 模式与 Arena 模式。Arena 模式支持多个智能体并行处理同一任务，用户可从中择优采纳。