Thanks for bringing this topic back, I think this is definitely worth discussing.
I’m cautiously optimistic about this product because they seem to be claiming that they can reduce all kanji to a pictographic interpretation via identification of functional components and corrupted forms. Rather than replacing mnemonics, which I think they accidentally imply they’re trying to do, this allows for the creation of very powerful mnemonics in which the mnemonic is contained within the components of the kanji. It also allows you to learn how different kanji might be related to one another, which winds up creating a reinforcing network for learning. The examples that they have on their blog and kickstarter page are pretty promising . . .
However, it’s worth keeping in mind that those have been cherry-picked, and the effectiveness of the approach may not generalize to all kanji. Kodansha (KKLC) has adopted a similar approach to Outlier with the key difference that KKLC abandons the etymological approach whenever they deem that there are better ways to build a mnemonic. Still, while Outlier may not be the best approach to all kanji, I think the information contained within will be worth having as a reference.
Some people have noted that the learning app that Outlier is being provided with seems subpar, but I personally don’t think that matters. I think Outlier is best used as a reference to build meaningful mnemonics. It won’t replace WK or Anki, but it will supplement our ability to create our own mnemonics (tbh about half the default WK mnemonics make me want to tear my hair out . . .)
Edit: Something new that Outlier brings to the table is etymology for readings. I don’t know how useful that will be because the readings for Japanese kanji are all over the freaking place, but could be interesting and useful.