For 31 days starting in the beginning of July I posted one new picture each afternoon. All of these pictures were created using the same basic shapes following the rules set out here.
It was interesting to see, how despite their similarities some pictures scored substantially more likes than others. One thing that was abundantly clear from the start was that using many popular hashtags significantly increased my chances of getting likes. Every Instagram guide will tell you that.
What I am interested in is whether there is a way to forecast how many likes a given picture might get. I’m planning on writing a little application to analyze the dataset gathered in July for correlations. This would be an interesting opportunity to try out TensorFlow or Azure Machine Learning and Cognitive Services.