Show HN: RenderarXiv – Search ArXiv from terminal, HTML to read/paste into LLM (github.com)

RenderarXiv is a new command‑line tool that lets you search arXiv from the terminal and instantly open a clean HTML results page optimized for reading or copy‑pasting into LLMs. Install with pip (git+https://github.com/peterdunson/renderarxiv.git) and run commands like renderarxiv "transformer attention mechanism" to open a two‑mode view: a human view with paper cards, abstracts, authors and PDF links, and an "LLM view" that formats results for direct pasting into ChatGPT/Claude. You can control max results, output to file, and filtering by arXiv categories (cs.LG, cs.CL, stat.ML, etc.), and choose ranking modes — recent, relevant, semantic or a balanced default. The tool uses the official arXiv API, provides direct PDF links, and is MIT‑licensed. For AI/ML practitioners this is immediately practical: it speeds literature triage, supplies real citations (reducing hallucinated papers when prompting LLMs), and supports semantic searching for deeper relevance. Technically, it’s a lightweight Python CLI that produces LLM‑ready text and HTML, with options like --mode semantic and --category for focused searches and -o/--no-open for scriptable workflows. That combination of fast, reproducible retrieval and copy‑friendly formatting makes it useful for literature reviews, prompt augmentation, and automation in research pipelines — while still relying on arXiv’s raw content (not peer review).