Hey builders! 👋 We all know consistency is the key on LinkedIn. But researching trends, writing posts, and finding visuals every single day? That's a full-time job. So I built a complete system on n8n that automatically turns trending news into engaging posts — without me lifting a finger. ⚙️ What the machine does: 🕵️ Auto Research — An AI agent scans the web for trending topics in your niche ✍️ Personalized Writing — Not generic ChatGPT. The system uses YOUR brand guidelines to write in your tone and style 🎨 Visual Generation — Creates a relevant AI image (DALL-E) to illustrate each post 🚀 Ready to Publish — Everything lands in Airtable so you keep final control before it goes live It's literally a content agency running in the background. 📊 Quick stats: - Only 1% of LinkedIn users post weekly, yet they get 9 billion impressions - Posting weekly = 5.6x more followers - AI automation can cut content creation time by 90% 🎁 The Gift: I'm sharing the complete workflow JSON below so you can import it and test it yourself. Drop a "🔥" in the comments and I'll send you the Airtable base structure too. Question for you: Do you prefer letting AI post automatically, or do you keep a human validation step? 👇

I recently completed an automation project for a client who runs a job search assistance service in Belgium. ❌ The problem before: For each new candidate registered via a form, she had to manually: - Create a Google Drive folder with 3 subfolders - Download and organize the CV, cover letter, diplomas - Search for matching job offers on the Forem website (Belgian public employment service) - Compare the candidate's profile with available offers - Update a Google Sheets dashboard - Send a notification for follow-up ⏱️ Estimated time: 30 to 45 minutes per candidate With 10-15 new registrations per week, that easily represented 6 to 10 hours of repetitive work every week. ✅ The solution: A 33-node n8n workflow that does everything automatically as soon as a candidate submits the form: 1. Data reception → Webhook connected to Tally form 2. Smart matching → Double-filter algorithm that compares the profile to job offers (job title, location, skills, contract type...) 3. Client folder creation → Complete structure on Google Drive 4. Document organization → CV, letters, diplomas uploaded automatically 5. Dashboard updated → All info + links to matched offers 6. Notification → Telegram alert to inform that a new candidate is ready 🏆 Results: - Before: 30-45 min/candidate → After: ~30 seconds - Before: Manual job search → After: Automatic matching with scoring - Before: Risk of forgetting/errors → After: 100% standardized process - Before: 6-10h/week → After: Time freed up for human support According to stats, automation can reduce candidate processing time by up to 50% and HR teams can save up to 15 hours per week. 🔧 Challenges encountered: 1. Tally data mapping → The form had 50+ fields with different formats (checkboxes, multi-select, files...). I had to create a "cleaning" node to normalize everything. 2. The matching algorithm → Finding the right balance between "too strict" (few results) and "too broad" (irrelevant results). I opted for a 2-level system: broad filter then precise scoring. 3. File management → Downloading files from Tally and uploading them to Google Drive with the correct naming in the correct folder.

In this video, I show you how to use Claude Code with n8n to build pretty much anything, from automations to full web apps. I walk through how to connect Claude Code to the n8n MCP server so it understands all the nodes, configurations, and how workflows actually work, and how to give it n8n skills so it can build and modify workflows effectively. Then I show you how to take existing n8n workflows, analyze and optimize them, and turn them into real front-end apps. We go through building the app, pushing it to GitHub, and deploying it on Vercel so you can see the full end-to-end pipeline. This setup makes it way easier than most people think to go from workflow to real product.

I wanted to share something pretty special with you guys. From February 2nd to February 7th, there’s an AI Mastermind happening in Cape Town that’s being sponsored by n8n, and I’ll be there along with some of the biggest names in the AI space like Liam Ottley, Dave Ebbelar, Jack Roberts, Mark Kashef, and many more. This is not a typical conference. It’s a small, curated mastermind focused on real conversations, deep dives into AI, live talks and presentations, plus a lot of networking and social events with people who are actually building in this space. There are only about 50 VIP spots left, and it’s designed to be a high-impact, life-changing type of week. If you’re serious about AI, business, and meeting the right people, I definitely recommend checking it out and applying here: https://www.africai.vip/

For a new project at our agency, we're hiring one or more back-end automation developers. The project specifically involves developing a range of automations linked to a wholesale platform. This platform has well-documented APIs, and we have direct lines of communication to request changes or tweaks where needed. We'll be developing a suite of back-end automations that integrate email, the wholesale tool, PDF parsing capabilities, etc. Essentially, it's about linking all APIs properly and enhancing the flow with features such as data extraction from emails and PDF parsing. Once developed, we'll modularly roll out this suite of solutions as a semi plug-and-play offering for their clients - thousands of businesses. So we're looking to expand our team to gradually take on the growing workload. Some of the things we're looking for: - Strong coding experience is an absolute must—you are comfortable working across both no-code and code environments, but have strong proficiency in actual coding. - Significant experience connecting APIs using documentation (not tools like Zapier, etc.). - Experience designing modular solutions for future semi plug-and-play use (this includes some API development—FastAPI and the like—but more importantly, designing the overall architecture and data storage setup so we can reuse the same backbone, tweak/build per client, and get 100% of the result with 20% of the work). - Experience automating real back-end business processes and solving practical problems. - Ideally: experience working with tech departments to optimize software and APIs so that our solutions and integrations work efficiently. - Availability during Dutch business hours, with a willingness to work some extra hours when needed to meet deadlines. - Long-term commitment and flawless English communication skills. If this sounds like you, please reach out to me with information about your background and some of the projects you've worked on. I'm not looking for a no-code developer—coding and back-end experience is absolutely essential for this role.