
CraftScore | AI Engineering Intelligence & Recruitment Platform
CraftScore 使用Git分析和代码质量指标衡量工程技能。
ricardo_santis2 · Product Hunt
CraftScore Measure engineering craft, not AI output.
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CraftScore 使用Git分析和代码质量指标衡量工程技能。
ricardo_santis2 · Product Hunt
CraftScore Measure engineering craft, not AI output.

连接 GitHub,自动将提交和部署转化为可分享的内容。
@plaqueboywest · X
I’m building Super Dent X. Connect GitHub once, and it remembers your build journey for you. Curious what you think: Would love your feedback !

浏览并聘请经过审核的AI、数据和工程人才,直接沟通。
@Tino_Ferreira23 · X

描述你的想法,Moneion 为你生成后端、前端、移动应用和运维方案。
@Musa1113097 · X
Every great project starts with an idea. The hard part was always turning it into reality. Now it doesn't take a team, or months. Build the project you want, in minutes. Backend. Frontend. Mobile. Deployed. Ready.

为 AI 代理分配任务和管理依赖关系的优先级工作队列平台。
Olscore · HN
Pullboard – a work queue for agents, built to run a quant desk

Build production-ready Next.js apps from a single prompt. JBOX generates connected user flows, backend logic, auth, and deployment. Start free today.
@JacquesLoul5kn · X
Discover and subscribe

AI writes the code. LoWisa's live tutor makes you the engineer who understands, debugs, and owns it: voice, whiteboard, and hands-on guidance, right inside the IDE. Free to downloa
@LoWisadev · X
: an AI coding tutor that works inside your own project. Opens your files, walks you through the system, makes sure you actually understand what you (or your AI) built, not just that it runs


部署400+开源工具到9个云提供商中任意一个。
@Dil_Lynn · X

用一行代码部署强大的 AI 模型,享受业界最具竞争力的 GPU 价格。
Synexa AI — 一行代码部署 AI 模型 (Replicate 50% 低价平替),Synexa 是运行无服务器 AI API 最具性价比的解决方案,提供业界最具竞争力的 A100 GPU 价格,相比其他服务商可节省高达 62% 的 AI 算力成本 - [更多介绍](https://github.com/1c7/chinese-independent-developer/issues/47

通过作品匹配联合创始人,分享构建日志参加一周试验冲刺。
@ship_together · X

用英文描述想法,QuikRun自动生成代码并提供实时URL。
nparashar150 · HN
Over the weekends, I've been revamping an old side project of mine: https://quik.run/?ref=yc It started as a simple platform for writing and sharing code snippets. Over time, it evolved into a way to run snippets instantly with support for imports and packages, without worrying about setup, deployment, or infrastructure. Think of it as a lightweight AWS Lambda for quick experiments. One thing I've realized is that even though AI has made a lot of older developer tools and ideas feel less relevan