Mevinai
Deploy Production-Ready ERPNext in 120 Seconds.
What it does
Stop fighting with Bench, MariaDB, and Redis. Mevinai is the automated DevOps agent that deploys production-ready ERPNext on any remote server in under 120 seconds. By containerizing the Frappe stack with professional-grade infrastructure, we eliminate deployment complexity and slash your DevOps costs by 50%. Whether on bare-metal or cloud, Mevinai gives you full control of your data without the manual headache. Self-hosting, fully automated.
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Server Compass 1.42 - Vercel UX + AI MCP4d ago · servercompass.app · ▲10Hey HN, I built Server Compass because I got tired of two extremes: paying $200+/month to Vercel/Railway for a polished deploy experience, or wrestling with self-hosted panels (Coolify, CapRover, Dokploy) that eat up half my VPS resources just to run their dashboard. The core idea: A GUI SSH client that gives you Vercel-like deployment UX on your own VPS. Nothing gets installed on your server except your apps – every command runs over SSH from your desktop. What it does: - 1-click deploys from GitHub repos or 160+ pre-built templates (Postgres, WordPress, Ghost, Supabase, n8n,…

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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 18d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com


Launched alongside, March 2026
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Switch from ChatGPT to Claude with import memory feature
AI · Mar 2026 · claude.com


