[yermierc]

>Do you offer data export?

We have this at the admin level and plan on making this a user-accessible feature as soon as we can.

>Does your service offer benefits to people who aren't and don't have the resulting new card review burden or need for cramming?

It depends on your goal. In its current iteration, Memorang functions very well for mastering new concepts on a shorter-term scale (e.g. hours, days, or a semester). However, long-term retention on the order of years is something that we are working on a different implementation of. That will be a huge focus in the next semester after we finish shipping this 2.0 launch in January.

[omgdlight]

Cool, it's much easier to build a system into your routine when you can rely on having your data.

What kind of approach will you be taking to long term retention? Do you expect it will differ substantially from the existing srs approach?

[yermierc]

We're starting with the assumption that learners will not be able to religiously follow a schedule. That means that whether you're cramming, checking in sporadically, or completing a daily queue - the algorithms should ideally adapt accordingly without making your "to do" list untenable. One component of this is determining whether your long-term retention is bounded to a specific timeframe (e.g. learn content X by future date Y) or unbounded (lifelong learning).

What we're borrowing is the concept of memory decay, but I don't think there are many similarities beyond that. Imagine learning spanish in college: you could set a goal for your final exam but also have a lifelong learning goal. Whether you're following your schedule or cramming, your answer events will communicate with the intersecting algorithms so that you're being optimized for several different use cases simultaneously. When we launch the "goal setting" feature, gjcourt may write a blog post about it and post it to HN...