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用端到端加密存储和同步文件，对服务器完全隐藏。
@vaultdesk · X
卡卡轻导航是一个极简、简约的聚合导航平台，集中常用网站、浏览器在线工具与在线小游戏，兼顾日常效率与轻量娱乐。
retaniko · V2EX
做的一个聚合导航站 这是一个按我自己的使用习惯和审美做出来的聚合导航站。之前在 V 站发过一次，之后又断断续续补了些功能、调整了一些细节。最近终于整理得比较顺手了，再来和大家分享一下： https://kaka770.cn/
Size your way to private local AI. Directional sizing for one resident text model: KV memory, combined prefill/decode serving, and runtime sessions. Compare eligible on-prem, sover
juxhinr · GitHub
bindwidth Evidence-aware on-prem LLM inference sizing and TCO calculator
为AI代理提供托管服务，支持持久工作空间、记忆和自动备份。
@hijak01 · X
check out the demo
Lyfos 是一个零知识家庭账户和密码保险库，仅可由你信任的人访问。
@LyfosVault · X
is an open source & zero-knowledge vault for the accounts, policies, and passwords your family would need if you weren't there to explain them. Encrypted on your device, opened by 3 of 5 people you trust, never by us.
Build websites, slides, and documents through chat.
@7neon_7neon · X
🚀 is FOR SALE AI-powered platform for: ⚡ Chat & coding 🌐 Web app generation 📊 Slides & docs 🛠️ All-in-one AI workspace Production-ready • Scalable • Monetization-ready 🔗 📩 DM for serious inquiries #ForSale #AI
简约文件床提供图片、文档、压缩包、音视频等常见文件外链托管，单文件最大 200MB，支持拖拽上传、粘贴图片、直链分享、Range 分段读取与边缘缓存加速。
TRY33 · V2EX
一个文件床 https://pic.sl.al 原先是运营了五年的图床，图床受众太小再加上自己偶尔分享文件，于是改成文件床了，大小限制 200M ，基本覆盖日常分享使用了。（适合不涉及任何隐私的、零时分享为主） 欢迎体验一下，看看有没有 Bug 地址： https://pic.sl.al
在浏览器中探索 databox 集群，体验 Raft 共识、分片和分布式存储。
SamInTheShell · HN
My Fable 5 Project Was a Multiraft Database and Blob Store
将销售线索发送到WhatsApp和其他应用，并在平台上存储数据。
@Raj_kabadi · X
I've built MissedLead with @base44! I have built an app that lets you send, share, and draft leads directly to WhatsApp and other applications while saving all data on the platform. Let me know if you would like to see a demo. #base44 #vibecoding #app
为AI代理提供经济实惠的内存存储层。
@AudaxicTech · X
Memory for AI agents, most affordable in the industry
连接 Claude 到 1000+ 销售工具的 MCP 服务器。
u/Harshit-24 · Reddit
We gave Claude access to 1,000+ sales tools. Building the brake pedal was harder than the tools. I’m part of the team building Komo. The product is already live—this is a build note about an architecture decision, not a launch announcement. Connecting an LLM to business data is relatively easy when the model is only reading. “Summarize this account.” “Find the last conversation.” “Explain why this deal stalled.” The problem changes when the model can perform actions: Search and
