tdubey · HN

DWS A LLM Generated, "Drudge Report" style news site

@heyayankai · X

💬 Building FeatureSay. A simple platform to collect user feedback, prioritize feature requests, and build what customers actually need.

@nrqa__ · X

the AI agent resource list I wish existed a year ago 1). for learning the fundamentals (videos) ↳ llm introduction - the crash course that actually explains how these models work before you touch a line of code ↳ llms from scratch - build one yourself so the black box stops feeling like magic ↳ agentic ai overview (stanford) - a proper academic breakdown of what makes an "agent" different from a chatbot ↳ building and evaluating agents - how to actually test whether your agent is doing its job or just faking it ↳ building effective agents - practical patterns for agents that hold up outside a demo ↳ building agents with mcp - how model context protocol changes the way agents connect to tools and data ↳ building an agent from scratch - no frameworks, no shortcuts, just the raw build ↳ philo agents - a full playlist for going deeper once the basics click 2). for cloning and remixing (repos) ↳ genai agents - a growing collection of agent examples you can clone and

@wings_davis · X

I launched my first SaaS - LogHive. Sales, stock, purchasing, accounting, customers, and business insight in one secure workspace. Customers check availability, price, and place orders on WhatsApp. Also includes a storefront to allow customers to order.