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25 projects
VibeLint 为 AI 代理提供代码检查、权限控制和审批工作流。
@RElharrak39428 · X
输入创业想法获得AI驱动的验证、竞争对手研究和Go/Pivot/Saturated/Stop判决。
@Hustleworld_24 · X
A few weeks ago, I had no idea what I was doing with Claude Code. Today, I shipped my first project built with it. 🚀 Founder Evolution AI 👇 Would love your honest feedback on my MVP #Buildinpublic #Saas #Claudecode #Vibecode #Founder #indiehacker
The all-in-one platform for veterinary clinics, medical practices, and service businesses. Scheduling, records, billing, client portal, and automations - fro…
@akfullstack · X
Helping service businesses stop no-shows, recover missed calls & automate follow-ups.
对版本控制系统和编码代理进行性能基准测试。
videlov · HN
I was interested in answering this question so I built a benchmark comparing git, jj and gitbutler in agentic context https://vcbench.dev/ Disclaimer - I am a co-founder of GitButler
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
AI-powered collaborative clinical reasoning platform for medical education. Students solve cases together, AI presents bounded patient responses, and educators guide differential r
@Amoghh09 · X
A collaborative, scorecard-driven housing decision app.
@VictorLepri · X
solution to organize house search, sharing with people to review and comment, rank and help make a structured decision. Tailored to NYC but works everywhere in USA
使用Misata为Python生成精确声明的合成测试数据。
@RasinMuhammedX · X
Declarative Synthetic Data Generation.
pondas - 用游戏方式指挥AI代理团队编写和部署软件
u/East_Operation1151 · Reddit
I built pondas: run a team of AI agents like a game to build an app I've been building this for a while and finally want to show it here. Most AI app builders are one model in a black box. You type a prompt, it guesses, and you hope what comes out works. I wanted the opposite: real control over how the AI builds. So in pondas you run a whole team of AI agents, and you control the loop they work in. What it actually does: - You describe an app in plain words and a team goes
