@Aimenbuilds · X

- leetcode for hardware engineers! We map job postings of hardware roles 1-1 to course requirements!

dev_dan_2 · HN

WatchMachineGo – A visualizer to show hardware performing LLM inference

@GorodkovVi85373 · X

- load testing made easy even without enginnering team. Faster, cheaper, distributional

@pakosteve · X

Improve your SaaS quality when scaling (by register requirements and test via MCP)

u/Brief_Dust8845 · Reddit

I pivoted from my initial idea after realizing I was solving the right problem at the wrong time When I started building GaaS Guard, it was an AI governance tool for companies. The idea was to help organizations defend against prompt injection and unsafe AI interactions. It was technically interesting, and I still genuinely believe I was solving a real problem. The problem was, it just wasn’t selling—to be brutally honest. Here’s how I actually ended up pivoting. I started using a b

cdnsteve · HN

Tokenstead, find AI models for your hardware

@teck_baby · X

@nodeloc_cc · X

🌈 7月，你好，MODELOC上线算力池。 MODELOC自上线以来，已检测2000余次，覆盖600+中转站，为众多AI用户提供的使用参考。 MODELOC近期进行了改版，上线了算力池及市场。 加入算力池 查看帖子： 用 MODELOC 便宜地调各家大模型：一次讲清它的价格体系

@__singhritwik · X

@svpino · X

You can check out Runpod here: Thanks to the Runpod team for partnering with me on this post.

@Adolphi13543532 · X

An new technology for WebUi on scale, (lovable,base44,emergent…) who ever will get it first will be the 🤴🏽👇🏼

@iamjackwiz · X