Expert profile
Founder & AI Product Leader
Yash Thakker is a Generative AI expert with over 12 years of experience in product leadership and technical strategy. As the founder of explainx.ai, he has taught over 300,000 learners and built AI platforms serving millions of users globally. He specializes in Agentic AI, Multimodal RAG, and the intersection of LLMs with consumer hardware.
Learn Git staging, commits, and pushing to GitHub. Follow a first-project walkthrough and troubleshoot authentication, rejected pushes, and secret files.
Learn HTML through small pages, meaningful elements, keyboard interaction, responsive checks, and practical AI-assisted exercises.
Deep-dive into MCP (Model Context Protocol): the N×M problem it solves, host/client/server architecture, three primitives with JSON examples, stdio vs HTTP transports, security trust model, ecosystem overview, and getting started in 5 commands.
Install Next.js, learn App Router pages and component boundaries, and debug your first project before deployment.
Learn Node.js and npm, select a supported runtime, understand package files, and diagnose common terminal and module errors.
Railway is a cloud platform for deploying full-stack apps, databases, and always-on backend services. This beginner guide covers what Railway is, how it...
Learn terminal navigation, PowerShell and Unix-shell differences, quoted paths, long-running commands, and a practical beginner recovery exercise.
Deploy your app on Vercel, configure each environment deliberately, and verify the live user flow before treating the release as complete.
Learn vibe coding through small features, clear acceptance checks, version control, and practical review of AI-generated software.
GPT-5.6 Sol, Terra, Luna rolling out July 9 in ChatGPT, Codex, and API. Tier waves, international access, what to check.
IEEE Spectrum’s June 2026 feature maps three futures for AI in math—tool, partner, or oracle. Here is what Aletheia, IMO gold, Lean formalization, and...
AI training emits hundreds of thousands of tonnes of CO2. Data centers will consume 1,000 TWh/year by 2026. Yet AI is also transforming climate science, materials discovery, and grid optimization. Here is the full picture.
