生产力1 week ago
Silocat: End-to-end encrypted file sharing & cloud storage
分享最高 20 GB 文件，采用零知识加密和自动链接过期。
@clickswave · X
vibe coded slop
完整作品展
技术栈
61 projects
分享最高 20 GB 文件，采用零知识加密和自动链接过期。
@clickswave · X
vibe coded slop
统一SMS和电子邮件的AI收件箱，支持自动回复和每日智能摘要。
u/Forsaken_Coconut3717 · Reddit
Anyone down to test each other's tools? (socks stay on) Hey all! I've been a lurker for a number of years and I think it's finally time for me. I built a tool that I think might actually be worth something! At its core it basically unifies every customer’s texts and emails into one shared conversation and is built for setting up AI agents to run your communications right from within the platform. It has a lot of moving parts but I think it can genuinely be the next big platform for man
支持15+编程语言、云工作区和编程面试工具的免费在线IDE。
aashhuttossh · HN
Codeground – run and share code in the browser
用 AI 和人工代理在一个收件箱管理客户支持,可自托管或云端。
@ompharate · X
— an open-source, agentic alternative to Intercom and Zendesk.
在云devbox中监控和控制自主编码代理的平台。
pranav100000 · HN
Aether – Run Claude Code, Codex, or OpenCode in devboxes you can watch
SaveAnywhere是Chrome扩展，直接将文件、图片、链接保存到Google Drive、Dropbox和OneDrive，本地处理。
@SaveAnywhere · X
Free chrome extension :
本地路由LLM提示、减少云API成本的SDK。
u/econobro · Reddit
Built a tool that skips the cloud LLM call when the prompt doesn't need one — would love feedback Live demo, no login, paste anything and see where it actually resolves and why: link What I built Offramp — a small client-side SDK that sits in front of whatever LLM API call your app already makes, and resolves some prompts entirely on-device instead of sending them to Claude/GPT/whatever cloud model you're using. Yes, I used Claude (you'll be able to tell right away if yo
通过语音命令自动运行PC任务的AI管家。
cedric_bignet · Product Hunt
AIgis The AI voice butler that runs your PC while you talk
匹配音乐EQ与参考歌曲的浏览器AI工具。
@pcclubb · X
Check out "SONICSYNC EQ "match engine · v1.0 I just built with Lovable!
用KataGo AI在云GPU上分析围棋游戏
malusama · V2EX
[分享创造] 给没有显卡的棋友：一个可直接接 KaTrain 的云端 KataGo 服务 电脑没显卡，或者笔记本跑不动全盘复盘，但想用 KaTrain 分析棋谱？我做了一个云端 KataGo 服务，KaTrain 里只需要填一个 WSS 地址。 ## 怎么接入 - 注册后拿到 Token： https://go.malu.moe - KaTrain v1.18+ 的设置里，Remote Engine 填：`wss://go.malu.moe/v1/katago/<你的 Token>` - 走的是标准 KataGo Analysis Engine JSON over WebSocket ，复盘、深度分析、Sweep 这些功能都兼容 - 不想用 GUI 的话也有 REST 接口：`POST /v1/analyze` ## 免费额度（注册即用，不用绑卡） - 单次分析最多 1,000 visits - 每月 1,000,000 visits ，按 KaTrain 默认 500 visits/手算，大约够 10 局全盘复盘 - 并发 1 ，最多 5 个 Token
一个共享记忆层，在不同的 AI 工具和设备间保留你的决定、偏好和项目。
upload — 跨 AI 的长期记忆层，让 ChatGPT、Claude、Codex、Hermes、OpenClaw、WorkBuddy 等共用同一份记忆，换工具换设备都接着上次继续，注册即用免装插件
