Be part of the platform that drives more impactful outcomes with paper knowledge sharing in less time by removing the friction that currently exists in the legacy systems
Why Onikle
Our Simple UI/UX and Onikle AI, based on over 2 million papers, provide you with tailored paper recommendations for your research interests and cut research time by up to 80%.
Onikle crawls preprints from arXiv.com every day to ensure that users receive the latest papers. With the combination of the latest papers and our special search algorithm, you can optimize your research experience.
We release new features and improvements every week to help you stay ahead in your research field.
How we do it
No way to distinguish between helpful preprints and useless preprints?
Get inspiration from thousands of community-made paperlists, notes, and discussions. You'll never want resources or support.
No time to read hundreds of new papers every day?
Don't worry, Onikle AI will provide you the tailer- made paper recommendation based on your behaviors such as, history, read-later, and chronicle.
Search in Google or Google Scholar, Save in Mendeley or Paperpile, Share in Slack or Twitter... survey has to be this complicated?
Get an all-in-one platform to make your research efficient.
Onikle's basic features are free without any advertisement as we are providing Beta. We are looking to improve our service with you, so that you can have better research experience. Your convenience is our ultimate objective. Please do not hesitate to give us feedback or contact us if you want to add any features or found parts to improve on. There is a pro plan for those who need private libraries for their latest research.
Our target is not only Computer Science researchers but as of now, Onikle crawls all the Computer Science papers from arXiv only. Yet, you can also import external papers which does not exists in Onikle.
We are planning to extend to the Field of Biology and Medical in the near future.
Onikle has many of the journal or conference papers as those papers tend to be submitted as preprints priorly in the field of Computer Science.