Zuri Obozuwa

@md440326799 · X

Built Caravel for myself: a local-first macOS workbench for Claude Code, Codex, OpenCode (and friends). Same CLIs — less terminal juggling. Review Diff, then merge when it looks right. Try the interactive demo: GitHub:

@AnilBatra · X

@TimothyMohney26 · X

Check out what I just built with Lovable!

ved_p05 · HN

Intelix – AI agent that investigates and resolves production incidents

beatrizgauto5 · V2EX

[开源/技术分享] 全天候 LLM 原生量化交易终端 & 自进化执行引擎： R20 Quantum Trader 折腾了几个月，今天把我一直在实盘环境跑的 **LLM 原生量化交易终端 —— R20 Quantum Trader** 完整开源了！ 传统量化往往依赖死板的指标打分和固定阈值，这个项目做的一件核心探索就是：**将大语言模型（ LLM ）作为交易决策与持仓管理的真正大脑**，结合顶级聪明钱资金流与多维因子，实现自动推演、在途调仓与自进化复盘。 为了让大家能直观看到大模型的真实决策过程，我搭建了一个 24 小时全天候无休的公网在线监控终端，无需登录即可实时围观。 --- ## 🌐 项目地址与在线体验 - 🚀 **在线实时监控终端 (Live Demo)**：[https://www.r20.cn]( https://www.r20.cn) - 📦 **GitHub 开源仓库**：[https://github.com/555cute/r20-quantum-trader]( https://github.com/555cute/r20-quant

Routewise-AI — 旅行规划工具（免费），基于 GPT-5.6 大模型

@theloadletter · X

@serviceinvoices · X

sadidrahimi · HN

hello HN, let me tell you why i built boilerroom ( https://boilerroom.ai ). throughout my past endeavours in sales, the one thing that thoroughly pissed me off was living in a million places to execute one thing; the outbound motion this includes everything top of funnel like finding leads (be it inbound or outbound), researching, filtering for qualification criteria, throwing them in a sequence, engaging them via dialer, email, and linkedin, gathering context, all the way through bottom of funnel like discovery calls, demo calls, and post-sales activities what absolutely does not exist (or if it does, a piss-poor model) is a place to simply execute this work in one place why tf do i have to be on clay, or apollo, clicking around looking for leads, researching them around myself, put them in to some other garbage software to sequence to tell me when to make a call or send out automated emails, only to get a massive backlog of things I was supposed to do, which in turn makes my whol

@DeveloperL92487 · X

I built my first app in 60min And now I got $500 MRR in one month Check here if you are interested It’s a tool to reduce agent token consumption, speed up agent response, and clean up memory cache

@paul_s_1738 · X

I'm vibe coding thermodynamic computing. So far I have llama running in sim replacing traditional softmax with boltzmann distribution sampling across a p-bit array. Im building a local research ecosystem too using qwen.