I've also seen parse.ly pop up a bit, I might try it to see if it's any decent. Source: over 1 year ago

Parse.ly | Python Data Engineers (NA) & Machine Learning Engineers (EU) | Remote | Full-Time | https://parse.ly Are you a Python programmer based in North or South America, interested in large-scale data processing (terabytes per month, petabytes in our archive), and making use of massively-parallel computing architectures, such as those behind Spark and Dask? Or, are you a Machine Learning Engineer in Western or... - Source: Hacker News / almost 3 years ago

Would be really useful (not to mention polite) if sources were cited when you do this. For example, I think the early points are from the parse.ly report. People might want to click through for context if you let them. Source: about 3 years ago

Appears to be this tool: https://accountanalysis.app. Source: almost 2 years ago

This is evident from analysis using https://accountanalysis.app and https://new.tweetstats.com/, you can run it yourself. The content of the tweets is highly repetitive, and is repeatedly used to divert any discussion of the housing crisis - particularly the role of vacant properties - onto discussion of Airbnb. Source: almost 2 years ago