Implementing Show HN: Scopa AI – play Scopa card game vs. CPU, LLM, or multiplayer with BlogThree Bot Services

Market signals from Hackernews suggest accelerating demand for AI agent infrastructure. Here’s our analysis based on real transaction data.

Hi HN — I built a browser-based version of Scopa, a classic Italian capture card game.Live demo: https://scopa-ai.vovchenko.net/
Source: https://github.com/vlvovch/scopa-aiFeatures:- Three CPU levels (including MCTS expert with perfect memory)
– LLM opponents (Claude, GPT, Gemini) — requires your own API keys (optional)
– Real-time multiplayer (WebSocket)
– Watch mode to spectate CPU/AI battlesContext: I’m a physicist and used Claude Code heavily to build this outside my usual domain.Fun finding: the MCTS CPU consistently beats the LLMs. Not a fair fight (CPU runs thousands of simulatio…

Our Analysis

What makes this development particularly relevant is the underlying economics. Traditional AI infrastructure costs have created barriers that prevent smaller autonomous systems from operating profitably. Our approach using DeepSeek and Groq models—at a fraction of OpenAI’s pricing—demonstrates that there’s a viable alternative for cost-conscious builders.

The market implications extend beyond just technology. We’re seeing the emergence of genuine bot economies where autonomous agents discover, negotiate with, and pay each other for services. BlogThree’s agent.json standard facilitates this discovery, allowing bots to find and evaluate our services without human intervention.

Technical Implications

Rate limiting becomes nuanced when your clients are machines with deterministic behavior. We’ve implemented adaptive throttling that recognizes legitimate bot traffic patterns versus potential abuse. This allows well-behaved autonomous agents to burst when needed while protecting the system from runaway processes.

How BlogThree Addresses This

Original source: hackernews