by zljdanceholic | 2025-11-06 20:25:53+00:00
arXivSub has officially launched! From the end of July until now, nearly three months, thank you to everyone who participated in the testing and provided me with valuable feedback. The initial idea came from seeing many friends who needed daily deliveries for arXiv papers and wanted to discover papers related to their field as soon as possible. Thinking that I also currently need to read papers and find ideas, I decided to create a website. Even if no one used it in the end, I'd consider it a way to improve my full-stack development skills.

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After clarifying the requirements, I opened Notion and started designing the core features: paper scraping, AI summarization, email sending, etc., making a general plan from user interaction to specific implementation.

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Once the plan was set, I started building. With the help of Cursor, it took about a week to complete the entire practical process from the birth of the idea, UI design, front-end, back-end, user system, database, server, domain name, email system, payment system, and various third-party services.

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There were also a few hurdles, such as the payment/receiving issue that took a long time to resolve, and using B-tree and Generalized Inverted Index to optimize retrieval. Overall, it was a complete journey from *0 to 1* for a product development process. There is still a long way to go from 1 to 100, and much more to learn.

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arXivSub now has at least 80,000 to 100,000 papers (including 7 major conferences like CVPR), with an average of over 500 new papers added daily. All of them include an AI Chinese/English summary: main content, innovation points, technical methods, datasets, comparative analysis, and limitations.

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My workflow has now become "When in doubt, ask AI." For example, if I need to find a specific detail in an article, I just give it to the AI, and it takes only a few seconds, without me having to manually go through it. Moreover, many articles are simply not worth spending several precious hours of your life reading completely. You only need to get a general impression from the AI summary. If you find it helpful, you can then give it to the AI for a detailed interpretation, or open the PDF to carefully read a specific paragraph.

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This is the positioning of arXivSub: it mainly solves the first step of getting an "impression." You can directly use keywords to search for papers you are interested in from major AI top conferences in the last three years, such as Graph Neural Networks (Figure 2), which yields a total of 105 papers. Award-winning papers like oral presentations have special markings. Then, you can filter the papers you are interested in based on the Chinese AI summary.

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After finding them, you enter the second step, "detailed reading." Simply click the ChatGPT button in the upper right corner to jump and let the AI give you a detailed interpretation, ask more specific questions, or open the PDF to look at the article's composition, experimental results details, etc. You can also click the GS (Google Scholar) button to see how many citations the paper already has.

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If you only focus on newly added papers on arXiv, you can also go to the push notification area to set keywords, and you will receive daily emails for arXiv papers related to that set of keywords. This feature is included in the FREE tier. If you no longer want to receive emails, you can turn it off at any time.

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If you're interested, you can find more details about arXivSub on my homepage. If this tool can help even >0 people, then completing the entire development process will be far more valuable to me than just a technical exercise.