agentc vs. Layer

A minimal, static, embeddable AI agent in C - no libc, less than 1MB. - GitHub - abird-ai/agentc: A minimal, static, embeddable AI agent in C - no libc, less than 1MB. Sharing an agent that I built since most of the agents that's nice to work with, take hefty deps like node or is provider dependent.It's heavily inspired by the wonderful pi agent - and builds on it as something that you can run on tiny hardware or embed easily in your own binaries without needing it's hefty dependency chain.An agent doesn't really need much - a minimal networking stack, a TUI and an agent loop. Then comes tools, mcp, skills and prompts.agentc does exactly that - a minimal, static, embeddable coding agent in C - no libc, less than 1MB, starts up using <1...

One API for prediction markets. Find markets, stream normalized data, place orders, and track positions across Kalshi and Polymarket. Hi HN, I'm David. I built Layer, an API + SDK or building trading bots/ai agents across prediction markets.The idea came from something i kept running into while playing with trading bots. Once your bot needs access to more than 1 venue, you suddenly have to deal with different market schemas, contract definitions, prices, fees and APIs before you can reason about where to trade. That gets messy real fast, especially with prediction markets. The same real-world event can exist on Kalshi & Polymarket, but the contracts can be represented differently.Here's my broader thesis:...