I did exactly this yesterday and it worked great. Not super critical systems, but almost 10 devices, so it saved me a lot of time. I use a small connector that gives my local claude or codex access to the whole fleet (only when I ask for it), no SSH, firewalls or VPNs needed.
I built a platform allowing for instant access to remote computers from CLI tools like Claude, Codex, Opencode, or any other AI chat. There are mini apps for Windows (tray), Mac (menu bar), and Linux (CLI app) generating connection code, like TeamViewer. Comprehensive security, instant access, no firewall/networking configuration. Just ask your AI to do something on your machine, and it will do...
Talk to any AI model inside Slack just by mentioning it like: @ai summarize this channel. The most innovative (among other Slack apps) is the business model: no per-seat (per user) settlements, but a global budget for your team.
I’ve been building and using agents heavily lately. The Model Context Protocol ecosystem is growing insanely fast, but discovering and configuring new tools is still highly manual. Every time I needed to connect an agent to a new service, I had to browse registries, figure out the transport type, identify required env vars, and manually update "mcp.json" files.So I built MCPfinder. It...
Hi there. I was looking for a pastebin-like instant solution for online meetings — a shared whiteboard with real-time sync. Of course there are Excalidraw and tldraw, BUT they require signup and are overgrown with features I don't need. So I just built cnvs.app — instant sharing, no signup, real-time sync with all the essentials: drawing, writing, and pasting images. All in one day. On day two...
I built PLAI.chat because I was frustrated with two things: 1) new models ship every week and I was constantly switching between apps to keep up. 2) Every service stores my conversations on their servers.So, PLAI.chat takes a different approach: your chat history is stored only in your browser's localStorage — never on our servers. API calls go to model providers via OpenRouter, but we don't...
The idea is simple: tell us your departure city, budget, and preferred temperature — we scan thousands of flights and weather forecasts every week to find you the best sunny weekend deals.
Technical stack: - Cloudflare Workers for backend (serverless, fast) - Flight data from Amadeus API + Kiwi.com - Weather from OpenWeatherMap - Email via Resend
It's completely free, no ads, no spam. Just a weekly email if we find a good match.