HackYourNews

What is HackYourNews?

HackYourNews provides AI-powered summaries of the top stories on Hacker News, presented in a mobile-friendly format. Each summary covers a wide range of topics and includes collections of user comments, with breakdowns of subjects and user reactions to the summarized content.

Example stories that have appeared include:

• Qwen2-Math — large language models developed by the Qwen team specifically for math problems and reasoning, trained on a large volume of math texts and exam questions, with strong results on various math tests.
• RP2350 microcontroller — presented as a powerful yet affordable option, offering dual-core performance and flexible memory choices.
• Other featured stories have included Touch Pianist, the NYPD’s spending on surveillance firms, ancient ceramic water pipes found in China, a book about query engines, and discussions around Robin Sloan’s novel.

Who created HackYourNews?

According to the source material, the Qwen team is behind HackYourNews. The team focuses on building large language models strong at mathematical reasoning, as seen in their Qwen2-Math project. The tool was built with mobile devices in mind.

What is HackYourNews used for?

• Summarizing the top stories from Hacker News into concise overviews.
• Gathering information from various Hacker News threads and presenting it in a summarized format.
• Working well on mobile devices.
• Covering diverse subjects, from technical topics like query engines to ethical and legal concerns about tech practices and their effects on vulnerable groups.
• Summarizing discussions on tech-related themes such as employee responsibility, job market trends, the tech industry’s impact on children, calls for regulation, and mental health effects.
• Exploring mathematical reasoning and problem-solving with large language models (LLMs).

Who is HackYourNews for?

HackYourNews suits mathematicians, data scientists, computer programmers, AI researchers, software developers, educators, researchers, and journalists who want a quick, summarized view of Hacker News discussions.