Over the past few months, I spent a bit of time on Tech.io and I found some great material. I also found it somewhat difficult to filter the material. @5DN1L pointed me to @eulerscheZahl’s Contest tools and workflow playground where I learned what I needed to use Python to pull a full list of playgrounds I could filter offline.
The following lists were built using author level, playground likes and playground views. I’m sure I have missed a few, but my goal is to build a list of the playgrounds I believe have the highest probability of being worth a look. This is meant to be for reference only. There is too much material on Tech.io for me to scrutinize every playground.
Author Level 40 and Up
Author Level 30 to 39
Author Level Below 30
TECH.IO has over 700 more playgrounds not included above. In an effort to reduce the size of this last list, the following criteria has been used to filter playgrounds.
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Each playground must be in the top 30% based on views.
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Each playground must be in the top 20% based on adjusted likes.
- adjusted likes = likes + 10 * author level
Additional consideration is given to excluded playgrounds generated by included level 20 authors and above. Playgrounds are sorted by adjusted likes.