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slaypnion Ask HN: Who is hiring? (April 2017)

We are developing Web API services utilizing machine learning algorithms. We start to develop our next product which will be built on top of a distributed system combining online and offline algorithms through lambda architecture.

We are currently a small team (less than 10 people) so that we need talented engineers to tackle challenging problems.

We are looking for engineers who are good at some of followings:

- Distributed System

- Machine Learning

- Recommender System

- Dev Ops

- Full Stack

Japanese proficiency is a plus, but not mandatory.

If interested, please send an email at kazuaki.tanida@shiroyagi.co.jp

slaypnion A Year of Spaced Repetition Software in the Classroom

Last year, I have developed a JS library SM.js (https://github.com/slaypni/SM-15) which is based on the algorithm used in the latest SuperMemo.

I have also developed a web service (http://slaypni.github.io/flashward/) for memorizing Foreign words using the library. Through the experience of using it by myself, I felt that spaced repetition helped me to remember many words for learning English.

I am feeling that most (free) SRS are using relatively simple algorithms (for example, Anki is based on SM-2 which is developed in the late1980s). Although I am not sure SM-15 is better enough, there could be some room to improve it. It is nice if the library was helpful for some developers who create new SRS.