@DwivediNitil · X

Go physical to digital

Willdom1986 · V2EX

多年前考过 CCNP 网络工程师，以前有一个很头疼的地方就是网络设备配置丢失引发的各种故障。后来越发觉得，网络设备的配置实际上是一个非常关键的数字资产。 为此，我利用周末时间开发了 XConf ( https://xconf.ai) 来解决这个问题。 产品主要就是想解决两个问题：**自动化的灾备高可用**，以及**端到端的安全**。 * **自动备份与灾备**：支持将配置定时备份到云端。如果网络断连了，探针会自动在本地离线队列里暂存配置，等连接恢复后自动重传。 * **端到端加密**：本地的 Go 探针是完全开源的，会自动在内存中对密码进行流式脱敏，并在上传前通过 AES-256-GCM 在本地加密。SaaS 后台拿到的只有密文，解密和版本比对（ Diff ）都完全在你的浏览器本地沙盒里通过 WebCrypto API 进行。 * **打磨版的配置对比 Diff**：我花了一些功夫打磨了浏览器端的配置版本对比功能，力求让日常比对的交互体验足够丝滑。 * **AI 安全基线审查**：系统集成了 AI 辅助的安全基线审查，可以一键检查和分析配置中的潜在风险。 因为目前完全是我利用业余时间（主要在周末）维护，所以确实没精力提供工作日的在线即时客服。大家使用过程中遇到任何 Bug ，欢迎随时去 GitHub 提 Issue ，我会在周末集中修复和跟进。 目前公测已开放，不需要邀请码即可注册，欢迎大家体验吐槽。 探针 agent 开源地址： https://github.com/willdom-lee/xconf-agent 官方网站： https://xconf.ai

mhmt_dmr · HN

MCP Gateway – Turn existing APIs and databases into MCP servers

CloudSSH — 打开浏览器即可连接和管理自己的所有服务器，连接信息云端同步，内置 SFTP 文件管理与 AI 运维助手 - [更多介绍](https://github.com/newbietan/CloudSSH)

@clickswave · X

vibe coded slop

@heyayankai · X

🚀 Building NoSQLSync. It helps developers migrate NoSQL databases to SQL without writing custom migration scripts. Always happy to connect with fellow builders and AI enthusiasts.

@sanchoyai · X

2/ Meet Momen - the no-code builder for production-ready Apps Go to → Got a big app idea but can’t code? The no-code builder that lets non-technical founders create apps go from idea → millions of users. UI, database, workflow, AI — all in one. Not vibe coding, but something you can control, grow, and scale.

@EmilyinBos · X

@malinuonuo · X

Day 1 live: I just shipped CloudSaver AI on Reddit. A free AWS bill scanner. No signup. No API keys. Runs entirely in your browser. Demo: #buildinpublic #aws #indiemaker

@engMostafaMatar · X

Working on the SEO for 🤞 It's really hard with new domains though 😅

tccole · HN

Napkinbook, a smart canvas for discovering, and sharing insights

@BinaryScriptar · X

Introducing Traks - free, self-hosted web analytics that runs entirely in your own Cloudflare account. 🚀 It started as a side project. When Cloudflare launched R2 SQL, I wanted to see whether a complete analytics stack could run on their data platform alone: ingest events through Pipelines, land them in R2 as Parquet, and query them straight with SQL. No warehouse, no ETL, no servers to patch, just my personal projects as the first test bed. It worked better than i expected, so I kept adding new features. A few weeks later it's a complete product. What Traks does • Real-time dashboard: visitors, pageviews, bounce rate, visit duration - every metric compared with the period before • Pages, referrers, UTM campaigns, and an AI tab that shows which assistant (ChatGPT, Claude, Perplexity…) sent the visitor • Locations and devices, resolved at the edge without storing IPs • Custom events, goals (incl. path-prefix goals), funnels, saved segments, workspaces & teams • A