Today I’m sharing a complete guide to convert audio and video into text using OpenAI Whisper.

I was reading an article by Naval Ravikant, and it got me thinking that AI might be involved in all four types of leverage. If you think about it, this is a massive paradigm shift. 🤯 Naval talks about leverage as the key to creating wealth: achieving more with less. And AI is amplifying all four pillars like never before: 1️⃣ Financial — You don’t need millions. AI optimises resources, reduces errors, and improves every investment decision. 2️⃣ Human — Smaller teams, bigger results. AI automates the operational work and frees up creativity. 3️⃣ Code — Code is infinite leverage, and AI accelerates it: it codes, tests, and launches with you. 4️⃣ Media — You publish one idea, and AI multiplies it. More reach, more impact, more speed. 👉 AI didn’t change the rules of the game. It changed the entire board. 🎯

In marketing and business growth, success doesn’t come from selling the most, but from understanding your numbers. And the most important one of all is: LTV ÷ CAC = Efficiency and Scalability 🔹 LTV (Lifetime Value): the total net profit a customer generates throughout their relationship with you. 🔹 CAC (Customer Acquisition Cost): the total cost of acquiring that customer (ads, team, tools, etc.). How to interpret the ratio: - If LTV / CAC > 3 → your business is healthy and scalable ✅ - If LTV / CAC < 3 → you’re at high risk and low efficiency ❌ Imagine you sell websites. Each client pays you $1,500, but between design and tools you spend $500. The real profit per client (LTV) would be $1,000. As for CAC, you invest $300 in advertising and management to acquire a new customer. Therefore, we get the following ratio: LTV ÷ CAC = 1,000 ÷ 300 = 3.33. For every dollar you invest, you earn $3.33. This means your business is profitable and scalable. How can we improve the ratio? - Increase your LTV: create upsells, subscriptions, maintenance plans, or premium services. - Reduce your CAC: improve your ads, funnels, and conversion rates. The LTV/CAC ratio is not just another metric — it’s the compass of growth 🚀

Recently, n8n launched Data Tables, a feature that lets you store and manage data directly within the platform — no need to connect to Google Sheets, Airtable, or any other external systems. And here’s the best part: 👉 It’s about 100 times faster! ⚡⚡⚡⚡ Perfect for workflows where speed and PERFORMANCE truly matter. Plus, it integrates seamlessly with AI Agents, meaning your workflows can read, write, and analyze data without ever leaving n8n. Less friction. More speed. And one step closer to AI-powered marketing that makes decisions on its own. 🚀

Hey everyone, something fascinating has been happening over the past few weeks in the AI ecosystem. According to the latest data from OpenRouter (we’ll talk about this platform soon), the Grok Code Fast 1 model —developed by xAI, Elon Musk’s company— has officially surpassed ChatGPT in API usage. Grok processed over one trillion tokens this week, placing it ahead of GPT-4.1 Mini and GPT-5 combined! What does this tell us? The landscape is shifting dramatically: 🧠 Claude (Anthropic): strengthening its lead in writing and reasoning tasks. ⚙️ Grok (xAI): gaining ground in speed, coding, and automation. 💡 Gemini (Google): standing out for its balance between cost and performance. 🔍 DeepSeek: growing fast in the open-source scene. We’re entering an era where each player (model) dominates its own niche. And for those of us working with AI, that’s great news! Why? Because more options mean more competition, greater supply… and more ways to build workflows perfectly tailored to each use case. What model are you currently using? Have you tried Grok or Claude yet? PS: I still owe you a tutorial on how to run AI models locally — right on your own computer, with no internet connection 😎