Show HN: I'm building an open source discussion forum for latest ArXiv papers (www.arxiv-news.com)

A Show HN post announces an open‑source discussion forum for freshly posted arXiv papers aimed at making community curation and conversation about new research easier. The snapshot shows a “Most Upvoted (Last 7 Days)” view (2,158 papers) with each item listing title, arXiv link, author list, score and a “discuss” link — spanning topics from vision‑language models and quantum systems to astrophysics and reinforcement learning. The interface emphasizes quick triage (time-windowed sorting + upvote ranking) and per‑paper discussion, surfacing cross‑disciplinary highlights that researchers might otherwise miss. Technically and socially this matters because an open, auditable platform can supplement discoverability and early peer vetting: community voting and threaded discussion help prioritize influential or reproducible work, while an open‑source codebase enables integrations (arXiv harvesting, RSS/API, DOI/code linking, topic clustering or embedding‑based recommendations). It also raises implementation needs—moderation, spam control, and metadata synchronization—that will shape its utility. For AI/ML practitioners the forum could speed literature triage, surface reproducibility issues sooner, and bootstrap decentralized review/annotation workflows without relying on proprietary aggregators.