Show HN: TrAIcer – capture your AI coding traces to sell later (github.com)

Traicer, a new tool for developers, enables the capture and secure storage of selected AI coding interactions for potential resale on an upcoming platform called Traice Market. The key feature of Traicer is that it allows users to control their working history without uploading sensitive content to the market. It operates locally, capturing calls to supported AI providers like Anthropic and OpenAI, redacting sensitive information, and encrypting the resulting traces before securely storing them in an S3-compatible bucket of the user’s choice. This development is significant for the AI/ML community as it empowers developers to monetize their coding experiences while maintaining data privacy and security. By ensuring that only metadata is sent to Traice Market—rather than the underlying request or response bodies—Traicer minimizes the risk of data leaks and supports a safer environment for software development. Additionally, the tool offers real-time trace management features, idempotently submitting pending metadata when the user connects an account, thereby streamlining the integration with the marketplace. However, users are cautioned to start with non-sensitive work and thoroughly verify checksums, emphasizing that Traicer is still in a preview phase and may not catch all sensitive data during processing.