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Bad MCP design costs your agent 5x more tokens

I recently did some tests on two MCPs with identical functionalities. Turns out one of them has really bad performance. So I wanna share those bad MCP design patterns that cause this. It all started when I wrote an MCP Server (MCP-A) for a to-do list app. Later, the app officially released its own MCP Server (MCP-B). Both MCPs have the same functionalities and hit the same backend API. The experiment is set up as follows: - Both MCP Servers connect to the same ToDo list account, and it will be r

2026-06-05 原文 →
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Ask HN: My competitors have flawed products but I can't get traction

Problem: I constantly save Instagram Reels/TikToks about restaurants, events, pop-ups, and things to do, but I always forget about them because they get buried in my saves. Solution: I built Cork. You can send a Reel or Tiktok directly to Cork without even needing to leave the app, and Cork will automatically extract the info in the reel and save it in a map + calendar. However, I've been finding it hard to get traction while my competitors have gotten traction/funding. I strongly believe my app

2026-06-05 原文 →
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Yon – a topos-oriented language with a content-addressed lattice heap

Hello everyone. In the last two years I spent, as a dev, part of my free time stretching the limits of my knowledge. Not being a mathematician myself, I discovered that formalizing concepts in mathematical language could nonetheless be useful to improve symbolic reasoning about the concepts themselves. I made use of both books and AI, and I followed the development of the latter, mainly with a critical eye. I have several open projects, and from some observations and explorations on one of them

2026-06-05 原文 →
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BurnCPU's First 100 Users: The Most Expensive Mistake of My Career

The most expensive mistake of my career wasn't a line of code; it was a 'yes'. That 'yes' not only cost me money but also severely damaged my reputation, which I had built over years. This was a turning point I experienced when my personal project, which I proudly worked on and named "BurnCPU," reached its first 100 users. Today, with 20 years of system architecture and operations experience, I can clearly see the decisions I made back then and the lessons I've learned since. This post is not just a technical error analysis; it's also an intention to share a pragmatic decision-making process, trade-offs, and the courageous stance of an expert. My goal is to spark discussion, encourage thought, and perhaps help you avoid similar mistakes. When Did That 'Yes' Come? BurnCPU was initially a tool I developed for my own needs, aimed at optimizing server resources. The goal was to reduce costs by efficiently utilizing idle CPU time. The development process was enjoyable and, over time, exceeded expectations. When the first beta users started giving positive feedback, my excitement was at its peak. And then the moment arrived; an investor, during this period when my project reached its first 100 users, offered financial support for a major scaling and marketing push. The offer was tempting. It presented an opportunity to reach wider audiences, add more features, and perhaps even commercialize the project. The person opposite me was introduced as a recognized and successful name in the industry. Without delving too deeply into the details of the offer, I said "yes." This simple word marked the beginning of the most expensive mistake of my career. ⚠️ A Risky 'Yes' When making this decision, I did not sufficiently analyze the technical maturity of the project or whether my infrastructure could handle such a load. I overlooked the chasm between the marketing power promised by the investor and my technical infrastructure. After the First 100 Users: Unexpected Problems When we re

2026-06-05 原文 →