We pushed Leo 0.5 to a limited beta in early March and collected lots of interesting feedback. The team is listening and crunching through all that feedback and adapting Leo to improve UI/UX as well as the relevance of the underlying machine learning models.
Here is a summary of the changes we are pushing out today as part of Leo 0.6 Beta
One of the feedback we collected was that the difference between mentions and topics was not clear. So in 0.6, we merged these two concepts into a single one we call Smart Topics. Just search what you want to prioritize and Leo will start analyzing the content of your feeds and prioritize the articles which are a match.
Level of Aboutness
Sometimes you are interested in a company, product, or topic and you want to see every article mentioning that topic. Sometimes, for more popular topics, you are only interested in reading an article if the article is truly about that topic or company.
Leo 0.6 exposes a “level of aboutness” knob that gives you more control over the model so that you can cut out low salience matches.