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Data & AI

Search, scrape, crawl, extract structured data, and monitor web pages using the just-scrape CLI.

Data & AI

NVIDIA RAG Blueprint evaluation guidance for measuring retrieval and answer quality with stable datasets, baselines, and reproducible scoring workflows.

Data & AI

An automatic researcher that wanders through user interests via public APIs and writes concise briefs to a local journal.

Data & AI

Intercept and replay API network requests to scrape large datasets efficiently. By capturing request headers and response schemas, you bypass slow DOM scrolling and directly fetch structured data with automatic pagination. Ideal for collecting followers, posts, or search results from web applications.

Data & AI

Guide to creating interactive data visualizations with D3.js: charts, networks, geographic maps, and custom SVG. Includes code examples for common chart types.

Data & AI

Extract, store, and export tax documents (W-2, 1099-DA, all 1099 variants, K-1) using AI. Local-first — your documents never leave your machine. Web UI at localhost:8421.

Data & AI

Specializes in modern database performance tuning, query optimization, and scalable architectures. Proficient in advanced indexing, N+1 query resolution, multi-tier caching, and cloud database optimization. Best used for troubleshooting performance bottlenecks, optimizing complex queries, and designing high-performance database systems.

Data & AI

Autonomous research and experimentation toolkit with 10 commands. Iterative loop inspired by Karpathy's autoresearch.

Data & AI

Implement efficient similarity search with vector databases. Use when building semantic search, implementing nearest neighbor queries, or optimizing retrieval performance.

Data & AI

Create standalone interactive HTML map visualizations from DataFrames, GeoDataFrames, GeoJSON, or CSV using the keplergl Python package.

Data & AI

Query and enrich the PMOVES.AI model catalog for LLMs, embeddings, TTS, and more. Export TensorZero config and track GPU deployments.

Data & AI

Run a two-phase project integrity check covering pipeline scripts, data files, directories, and manuscript references.