Discover the incredible value of open-source projects. Learn how selfless developers are driving innovation and how you can leverage free, powerful tools for your business. It's the future!

Hey builders 👋 I’ve been watching the paid‑AI hype for a while, and every time someone talks about “the next big thing” from a giant, I’m reminded of why we love the open‑source movement. 1️⃣ You own it. With a paid model you’re locked into the vendor’s pricing, limits and data policy. With an open‑source LLM you can run it on your own GPU, tweak the weights, and keep 100 % of the data you feed it. Ownership = freedom. 2️⃣ No price hikes. Open‑source doesn’t have a quarterly “upgrade” bill. If you want more compute, buy hardware or move to the cloud – you decide the cost. Paid AI can suddenly bump your token price and hit your budget like a surprise tax. 3️⃣ Community‑driven innovation. Every bug fix, new feature or model release is a community effort. That means faster iteration and more diverse use‑cases than any single company can ship on its own. 4️⃣ Security & privacy. Running locally means no data leaves your network unless you choose to share it. That’s a game‑changer for regulated industries and privacy‑concerned founders. 5️⃣ Learning & growth. Open source lets you dive into the code, experiment with architectures and build a portfolio that shows real engineering skill. Paid APIs are black boxes – great for quick prototypes, but not a path to deep expertise. Bottom line: Open‑source AI gives you control, cost‑efficiency and a community that’s building the future together. Paid AI is fine for one‑off projects or when you need instant scaling, but if you’re serious about building something that lasts, the open‑source route is the smart move. Drop a 👇 if you’re already on the open‑source side or if you’ve got questions about setting up a local LLM. Let’s keep the conversation going!

Hey Open Source AI Builders, One of the biggest accelerators in a developer’s toolkit is “copy‑paste‑then‑tweak.” That’s why I’m thrilled to share a treasure chest of n8n workflow templates that you can instantly import, run, and spin into something uniquely yours. 🔗 All the templates – https://n8n.io/workflows/?utm_instance=http://localhost:5678/&utm_n8n_version=1.104.2&utm_awc=3 Think of this as a launchpad: each workflow is a fully‑functional automation that solves a real problem (data ingestion, API orchestration, scheduled reports, AI‑driven pipelines, you name it). Open it, clone it, and start shaping it for the projects you’re building for clients or for your own side‑hustles. Why n8n Is a Must‑Have for Our Community 1. Open‑source, self‑hostable – You keep total control over data, secrets, and scaling. Perfect for the “own your AI” ethos of Project Infra. 2. Visual, low‑code UI – Drag‑and‑drop nodes, connect them with arrows, and you have a working integration in minutes. No need to write boilerplate code for every webhook or database call. 3. Massive node library – From Discord, Slack, and Airtable to OpenAI, LangChain, and any REST endpoint. The templates already illustrate how to combine these nodes into powerful chains. 4. Extensible with custom JavaScript – When the built‑in nodes aren’t enough, drop a Function node and write the exact logic you need. All of our builders love the sweet spot between no‑code and full‑code flexibility. 5. Deploy Anywhere – Run n8n locally (Docker, npm, or the binary) or on your Project Infra‑tuned machine, then scale to a cloud VM or Kubernetes if the workload grows. Quick “Copy‑Paste‑Run” Walkthrough 1. Spin up n8n (if you haven’t already) docker run -p 5678:5678 n8nio/n8n Or install via npm: npm i n8n -g && n8n start.When the UI loads at http://localhost:5678, you’ll see the dashboard.

🚀 Best YouTube Videos for Local LLMs, Ollama, Open WebUI & Hardware Matt Williams - Getting Started on Ollama (Mar 26, 2024) - The Ollama Course: Advanced Playlist - 1. The Ollama Course: Intro to Ollama (Jul 23, 2024) - New Ollama UI (Jul 31, 2025) - Open WebUI Tools: A Comprehensive Guide NetworkChuck - I'm changing how I use AI (Open WebUI + LiteLLM) (Mar 13, 2025) - Turn Open WebUI into a real website (Domain + SSL) (Mar 13, 2025) Alex Ziskind - Stop Guessing! I Built an LLM Hardware Calculator (Mar 14, 2025) - Find Your Perfect Ollama Build (Nov 22, 2024) Also Highly Recommended - Run Local LLMs on Hardware from $50 to $50,000 (Sep 29, 2024) - Open WebUI: Is It Over For LLM Subscriptions? (Mar 31, 2025) - Self-Host a local AI platform! Ollama + Open WebUI (Mar 11, 2025 These videos will help you understand which hardware is needed for Ollama, how to install and optimize it, and how Open WebUI fits into LLM workflows with practical demos from experts in the field. Save this list so you can always jump straight into the best guides whenever you want to build or upgrade your local AI setup!