Postiz doesn't support Bluesky link preview cards yet—so I built a custom Docker image with an unmerged PR that adds the feature. Image is public: ghcr.io/kfuras/postiz-app:bluesky-link-previews Full walkthrough: https://kjetilfuras.com/bluesky-rich-link-preview-cards/

Just published a detailed breakdown of how I deploy n8n to production. The post covers: • Cloud-init + provisioner for server setup • Security hardening (SSH, firewall, fail2ban) • Automatic SSL with Traefik • Service toggle system for BaseRow, NocoDB, MinIO, etc • Secret generation that stays off your local machine Read it here: https://kjetilfuras.com/deploy-n8n-to-hetzner-cloud-with-opentofu/

I just published a blog post where I dive into how I automated my entire WordPress publishing workflow. From writing in Notion → syncing to Airtable → generating featured images → publishing to WordPress with SEO configured. No copy/paste. No manual uploads. No SEO screens. If you publish regularly and hate the overhead, this might give you a few ideas (or save you a lot of time). 👉 Read it here: https://kjetilfuras.com/automate-wordpress-blog-publishing/

I’ve been running a daily sync that exports my Skool members and keeps Airtable up to date as a single source of truth. Skool doesn’t have a public member API, so this walks through how I use Playwright (running in Python) together with n8n and Airtable to programmatically export members and: - Track paid vs free members - Power automations - Drive things like GitHub access automatically Full write-up here 👇 https://kjetilfuras.com/skool-members-to-airtable/

Most people use Google's Antigravity to build apps and websites. I use it to build AI employees. Here's how: I took the framework from this post put it in Qwen “thinking mode” ended up being about 1445 (idk how he got 2590, I’m sure I’m missing something) lines when I was done. (You have to give you the output in small chunks otherwise gets cut off but it will produce it) If you connected this with Claude code I’m sure it would do wonders, I’m cheap I use Gemini for now. 1. I need you to design a complete blueprint for building AI employees - a 2,590-line instruction (roughly) file called AGENTS.md. Think of it as the DNA for my AI workforce. 2. I will upload it to Google's Antigravity and I want to give it one simple prompt: "Setup the infrastructure using AGENTS.md" 3. I want to be able to give it another prompt (example): "Build a LinkedIn content creator". 4. The AI should be able to take over completely. I can answer questions like "What should the LinkedIn creator do?" or "Do you have examples?" I will also provid API keys when it asked. 5. I should be able to start testing and fine-tuning using plain English - no code, just conversations. 6. What it should be able to do: The AI logs every run, and after about 20 attempts, it analyzes the patterns and suggests improvements to its own instructions based on what worked and what didn't. 7. When those recommendations come in, I review them. If I approve, it rewrites its own instructions. I don't have to do anything else - it literally makes itself better over time. And now that the infrastructure is set up? If I want to build another AI employee, I just tell the AI what I want in plain English. I had Qwen build out the file, have it output it in sections otherwise it will get cut off. Now I have Antigravity + Ralph Loop + GSD (Get $h!t Done) + Antigravity Skills + the n8n-mcp.com + Jules + LLM of choice = An amazing AI Employee(s). Make sure you have it integrate all your tools and skills and everything is mapped, always ask/audit for gaps ie ways to improve/more robust. This does an amazing job my Employee helps me build workflow, test troubleshoot front end issue with React for webapp builds, and a huge headache saver.