Curious what people here are actually building with n8n. Not demos — real workflows that you use regularly. Could be things like: Lead automation AI agents API integrations Internal tools What’s one workflow that saved you the most time?

Workflow - Code Included 🔗 Website (browse & search): https://n8nworkflows.xyz/ 🔗 GitHub (bulk access): https://github.com/nusquama/n8nworkflows.xyz If you use n8n regularly, you already know this problem: workflows exist, but finding the right ones is slow and messy. They already come from the official n8n ecosystem and public sources. Nothing new, nothing private. What I built is just another way to access them. - The website makes discovery easier (search, categories, tags). - The GitHub repo lets you download all workflows at once, browse them as files, and reuse them freely. Goal: reduce friction when discovering and reusing n8n workflows. Feedback from n8n users is welcome — especially on discovery, filtering, and structure.

I've been using n8n for a few automation tasks and I'm looking for more ideas, especially around software development and machine learning. I'm curious what workflows people are actually using in their day-to-day work rather than just demo projects. Things I'm interested in include: - GitHub automation - AI/LLM workflows - Model training or evaluation pipelines - Dataset processing - Monitoring and alerts - DevOps or CI/CD integrations - Documentation or code generation Would love to hear about workflows that have genuinely saved you time or become part of your daily workflow. Always looking for ideas I can adapt to my own projects.

Servers, Hosting, & Tech Stuff I'm curious to see what the n8n community has built over the years. What is the most complex, interesting, or technically challenging n8n workflow you've created? It could be anything: - AI agents - Multi-step business automations - Lead generation systems - Content pipelines - Data processing workflows - Customer support automations - Internal tools - Anything else that pushed n8n to its limits I'm particularly interested in: - What problem it solved - How many nodes/workflows were involved - The biggest challenge you faced - Any lessons learned while building it If the workflow is public, I'd really appreciate it if you could share a template link, GitHub repo, screenshots, architecture diagram, or any write-up about it. Looking for inspiration and trying to understand what people are doing with n8n at scale. Thanks!

I'm giving away the exact workflow I use to pull verified leads from Apollo for free Most people building outbound systems waste hours sourcing leads and cleaning bad data manually. So I built a workflow that does it automatically. Here's what it does: → You fill out a simple form (industry, job title, company size, location, keywords) → An AI agent converts your inputs into a precise Apollo search filter and automatically formats locations correctly → It pulls matching leads directly from Apollo → Leads without a website are removed → Leads without a LinkedIn profile are removed → Leads without company information are removed → Clean, verified leads are sent straight into Google Sheets with name, email, phone number, title, company, industry, LinkedIn URL, and website No manual filtering. No messy CSV exports. No wasting time checking whether a lead is worth contacting. This workflow is especially useful for: • Solo founders • Freelancers • Small agencies • Teams doing under 50 outbound conversations per day If you're still manually building prospect lists, this will save you hours every week. This is one small piece of the AI outbound systems I build for marketing agencies. The goal isn't finding more leads. The goal is to remove manual work from the lead generation process. Want the workflow? Comment Leads, I will send it to your DM!