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Just watched Y Combinator's W25 Demo Day and something WILD is happening: Nobody's building AI agents anymore. Instead, the focus has dramatically shifted from Agents to Infrastructure Instead of creating more AI agents, the smart money and ener

Everyone wants AI agents. Very few enterprises can actually run them. Here’s the uncomfortable truth: AI agents don’t fail because they’re not smart. They fail because organizations aren’t ready. In demos, agents look cheap. In production, costs e

🚀 AI Agents, Automation Experts, Freelancers & Agencies! viaSocket.com — an AI-powered workflow automation platform — is offering FREE access to 1500+ MCP servers (Zapier alternative) Perfect for building & delivering client automation workflows

AGI is on pause. Everyone's building app builders now. Anthropic just announced that you can build, host, and share AI apps directly inside Claude. No backend, no infra, no deployment pipeline. Just prompt → app. It’s not just Claude. OpenAI has GP

The Missing Piece in AI Agent Ecosystems: An Agent Search Engine & Centralized Registry The A2A (Agent2Agent) protocol, introduced by Google Cloud, is a significant step forward. It standardizes how agents communicate, enabling them to securely exch

🚀 The 2000s had the Internet boom — this decade belongs to AI. Back then, those who couldn’t code built the backbone — data centers, hosting, and infra — and created lasting wealth. Today, it’s happening again. I’m building an AI infrastructure com

TechSMEAI : Revolutionize Your Software Development Life Cycle. We’re building Tech SME AI, an Agentic Platform-as-a-Service (PaaS) that automates software development workflows with Shadow Agents and DIY Agent options, reducing human dependency and

A student-led Indian startup is building a mobile-first platform to simplify digital, legal, and government services—especially in rural and semi-urban regions. It uses offline-first tech, peer-to-peer sharing, and a B2C + B2B model (empowering exist

🧩 Front-End First vs Back-to-Front Which One Should You Use on Lovable.dev (and Why Most Beginners Get It Wrong) Before you start building, Lovable.dev gives you two ways to approach your app: Front-End First Back-to-Front Both are valid. But

Manual data labeling is one of the biggest bottlenecks in building intelligent image classification systems — especially when the objects are rare, niche, or appear in very few examples. At Gigaversity, we recently faced this challenge while building