Zeli

Zeli is a multilingual content aggregation and translation platform specifically designed for Chinese-speaking readers who want to stay updated with global technology news and artificial intelligence research. The platform focuses on two primary sources: Hacker News, a popular community-driven tech news aggregator, and Hugging Face’s daily AI papers, which feature the latest preprints from arXiv and other academic repositories. Every article and paper abstract on Zeli is automatically translated into Chinese in real time, and the system generates concise, human-readable summaries to help users quickly grasp the core content without reading the full original text. The homepage presents a clean, card-based layout where users can browse curated categories such as “24-hour Hottest,” “Good Questions,” “Cool Products,” and “Latest,” mirroring the filtering options of Hacker News. Each story card displays the original headline, a translated Chinese title, the number of upvotes (points), the time since posting, and a brief summary. For example, a recent entry about a zero-authorization Instagram account hijacking vulnerability is summarized in Chinese, explaining the attack vector, the role of Meta’s AI customer service, and the security implications. Users can click through to read the full translated article or the original English source. For AI research papers, Zeli fetches daily submissions from Hugging Face’s “Daily Papers” feed, which highlights notable machine learning, natural language processing, computer vision, and generative AI papers. Each paper entry includes the paper title in English and Chinese, the authors, a short abstract generated by Zeli’s translation engine, and a direct link to the original PDF or arXiv page.