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Source channel @olddriverGDstudy · Post #49 · Mar 24

江湖舔狗传 江湖者,江湖也! 各兄弟五湖四海汇聚一堂,为的是个情字,讲的是个义字,说的是个道理。 江湖上无数前辈好汉,忍饥挨饿,夜以继日,通宵达旦,上下求索,陷过无数的坑,踏破无数双鞋换得了有限的几个极品资源,未曾敢占为己有,而是毫无保留,无私公布奉献。 这一切为什么?为的是天下草根、屌丝们,不受仙人跳之苦,不遭各种骗费之难,不枉花了辛苦搬砖的银两盘缠,这是多么高尚的精神,多么高贵的品质啊! 江湖就是江湖,林子大了什么鸟儿都有,舔狗们也像病毒般出没,为害人间。这些禽兽毫无尊严、毫无底线,从溜须拍马、到阿谀奉承,从冷屁股到甜盘子全方位无死角。 舔狗,做着劝婊子从良的梦,抱着救风尘女子出火坑的“崇高”的性幻想,岂不知自己已是婊子口中的笑话! 江湖有江湖的规矩,江湖有江湖的原则,江湖有江湖的风貌,江湖有江湖的脾气。 我知舔狗是死不光的,这一车死光了,下一车还在路上。 但舔狗永远不过是个道具而已,又何必自作多情。 舔狗,你听,电话声已响起,你的钟到了!闭上臭嘴,滚出去把门关上! 作者:41秒哥 标签:#语录

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GitHub Trends

@githubtrending · Post #15079 · 08/20/2025, 12:30 PM

#typescript#svelte#sveltekit#tailwindcss#tauri Epicenter is a free, open-source set of local-first apps that let you own and control your data by storing everything—notes, transcripts, chats—in one simple folder using plain text and SQLite. You can use any AI model you want, customize tools, and access your data anywhere without relying on cloud services. Key apps include Whispering, which transcribes your speech locally, and epicenter.sh, a personal assistant that helps you search and interact with your data. This setup gives you privacy, flexibility, and full control over your information, avoiding locked, siloed apps and data traps. It’s great for anyone who values data ownership and open software. https://github.com/epicenter-so/epicenter

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@TossLabChannel · Post #424 · 12/22/2024, 03:30 AM

#局域网唤醒#SvelteKit#Go#PocketBase 简单局域网唤醒 Web 应用程序 该应用程序利用 SvelteKit、Go 和 PocketBase 构建,适合家庭或企业环境中需要设备唤醒和管理的用户。 ✨ 特点 • 🚀 一键设备唤醒仪表板 • ⏰ 定时事件自动化(通过 Cron 设置) • 🔌 支持 Ping 任意端口 • 🔍 网络扫描发现设备(需要 nmap) • 👤 安全的用户管理 • 🌐 多语言支持(i18n) • 🎨 提供 29 种主题 • 🐳 支持多平台 Docker 镜像 • 🏠 完全自托管 📢 群聊: @TossLab 🎈 频道: @TossLabChannel ❤️不想错过精彩内容,请打开 #频道通知,你的 #阅读#点赞#转发 便是我发帖的最大动力!

GitHub Trends

@githubtrending · Post #15236 · 10/19/2025, 12:30 PM

#typescript#chatgpt#hacktoberfest#huggingface#llm#svelte#svelte_kit#sveltekit#tailwindcss#typescript Chat UI is an open-source chat interface built with SvelteKit that lets you easily connect to different AI language models using any service that works with the OpenAI API format, such as Hugging Face, llama.cpp, Ollama, or OpenRouter[5]. You can quickly set it up on your computer by cloning the project, setting a few environment variables (like your API key and database connection), and running simple commands to start the app—no need to be an expert[5]. The main benefit is that you get a modern, customizable chat app that works with many AI models, making it simple to experiment, build, and share your own AI-powered chat experiences without starting from scratch. https://github.com/huggingface/chat-ui