Developer Tools / AI Evaluation
A Python pipeline that ranks 1,000 Show HN posts with an LLM judge and TrueSkill, then compares estimated merit against Hacker News points.
The page clearly describes an AI-powered evaluation pipeline, shows how it works, and includes setup and run commands. It is useful to builders interested in LLM judging, ranking systems, and automated content evaluation, with concrete implementation details and a stated methodology.
The snapshot does not show the report output itself, example rankings, or evidence of recent maintenance beyond a small commit history. It is also unclear how well the approach performs in practice across different kinds of posts.
Last evaluated 124 days ago. Current rank #1966. Down 1 spot in the rankings.
CodeGraph is a local code knowledge graph for AI coding agents like Claude Code, Cursor, Codex, OpenCode, and Hermes Agent. It aims to cut token use, tool calls, and runtime by letting agents query pre-indexed code structure instead of scanning files repeatedly.
Mercemur is a store automation platform with three interfaces: a REST API, an MCP server for AI agents, and a CLI for editing storefronts as files. The docs show authentication, scopes, rate limits, error handling, pagination, idempotency, and a large API surface for catalogue, orders, customers, pricing, and money.
A zero-dependency C++23 CLI and MCP server that gives coding agents a ranked map of a repository, including call context, blast radius, and tests to run.
Traccia is an AI agent observability and governance platform with OpenTelemetry-native tracing, runtime policy enforcement, prompt registry, evals, cost attribution, and compliance evidence export.
