Although I covered this topic briefly about a year and a half ago, it seems that it's due for an update. After all, many people still are unaware of this terrific tool, while I always get positive feedback when I introduce it to mentees of mine. In a nutshell, Wakelet is a simple collection tool for organizing and sharing content over the internet. The collections (aka wakelets) can be private, public, or shareable with specific individuals via a link.
The Wakelet website does a great job of informing people about the merits of this tool, which is quite popular among educators. What it doesn't tell you is that it's great for data science practitioners too. Namely, a wakelet can be a great place to exhibit your portfolio of projects, as well as any other material that you’ve created that’s relevant to a data science career. You can also include any publications you may have, any videos you’ve created, and any programs you’d like to share with the data science world. The big advantage of wakelets is that you can add supplementary text to accompany your material, so the whole thing is more meaningful and accessible to your audience. The free graphics the program offers are also useful for making the collection more appealing to newcomers.
So far I’ve developed a few wakelets, mostly around the AI-related articles I’ve written and the books I’ve authored. Also, there are a few wakelets that I keep private as well as another one I’ve shared with an associate of mine. What’s more, I plan to continue creating wakelets as I have more material to share (e.g. webinars, videos, etc.) The community aspect of Wakelet is something I’ve recently discovered and I’m in the process of exploring. In any case, it’s always interesting to view other people’s wakelets and get ideas about how to organize shareable content elegantly.
The collaboration aspect of Wakelet is something worth exploring too. It involves two or more people working on the same wakelet, either contributing or editing content. This can be done in the traditional way whereby the contributors access a wakelet independently, or they can collaborate through MS Teams and share content from there (e.g. conversations) through their wakelet. Wakelet collaboration is still fairly new as a feature but it's getting quite popular and it's something worth looking into, for sure.
Wakelet is quite popular among content creators but it seems that its target audience is growing as it develops new features and a larger community of users. As a result, it may become the go-to option for sharing any content that's large enough to not fit in a single document. Also, as wakelets can be organized efficiently and elegantly in the wakelet page, it makes sense to create several of these collections and perhaps even link them together, when this makes sense. In any case, the fact that all these collections are also accessible through the corresponding app makes it a versatile and practical tool. So, I invite you to check it out and let me know what you think about it. Cheers!
Zacharias Voulgaris, PhD
Passionate data scientist with a foxy approach to technology, particularly related to A.I.