Developer Tools / AI / ML Infrastructure
An interactive guide for choosing local AI hardware and matching open-weights LLMs to specific builds. It offers budget-based build recommendations, a hardware picker, model-to-hardware compatibility, and a state-of-the-local-AI snapshot.
The page is clearly an AI-focused product with a concrete utility: helping users choose local LLM hardware and see which open-weights models fit specific builds. The crawl shows multiple useful entry points, comparison views, a hardware picker, model compatibility coverage, and a regularly refreshed news/snapshot layer, which is enough evidence for a public listing.
The crawl does not show the actual benchmark table, supported hardware list details, or the depth of the 53-model compatibility data, so visitors cannot judge the underlying methodology or coverage from the snapshot alone.
Last evaluated 110 days ago. Current rank #330. Down 3 spots 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.
