Developer Tools / AI/ML Performance Testing
A 30-second WebGPU benchmark that measures a device’s memory-bandwidth ceiling for local AI and checks for a WebGPU subgroup correctness bug, with receipts, projections, and comparison data.
The page is clearly an AI-adjacent developer tool with a concrete purpose: benchmarking GPU bandwidth and estimating local-LLM throughput. The crawl shows the tool’s workflow, outputs, methodology, receipts, and example comparisons across devices and engines, which is enough evidence for a useful public listing. It also has a distinct angle beyond a generic benchmark by pairing performance measurements with a WebGPU canary for a correctness bug.
The snapshot does not show a simple quick-start, API, or install path for builders who want to integrate it elsewhere. It also doesn’t make the underlying code/repo status, release cadence, or browser/device support boundaries fully explicit beyond the visible WebGPU and Chrome-related notes.
Last evaluated 53 days ago. Current rank #266. 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.
