Building a better way to discover computer science trends

Most technology products we use today are built on top of research ideas which were first published in academic papers. This makes reading academic papers a great habit for curious software engineers who love what they do and want to stay up-to-date.

However, following computer science research has become increasingly hard as the pace of innovation accelerates. The number of new articles on Arxiv has grown at 27% CAGR for the past 20 years. As of this writing, 240 new papers have been filed daily on average over the past 12 months. And the number is growing: last month, there were 344 new papers on average every single day.

Yet, most of the existing tools used to follow research are not well designed to explore such a massive dataset. Wouldn't it be better if we had a different way?

This is why I decided to build trendingpapers.com. The project aims to organize computer science research in a logical, simple, and easy-to-follow way. The idea is to develop a better way to learn about breakthrough ideas and innovative concepts. Staying up-to-date with cutting-edge CS research should be a way more engaging experience.

Although I am highly convinced that this is a problem worth solving and have some intuition about a better experience, I will do the validation anyway. You can contribute by answering these 9 questions (it will take less than a minute).

I hope this project achieves its goals and helps other curious minds understand the universe we work in a little better every day.

I'll build it in public, sharing weekly updates and all details of the journey. If you want to embark and see how this is going to work out, check trendingpapers.com.

Cheers!