Hey fellow Q'ers... I am considering making a rather simple web app that helps to somewhat automate the process of decoding tweets (the decoding process can't really be fully automated in most cases, at least not in any way that I'm aware of). The app will look at Trump's tweets by default, but can be used to analyze any tweet by url. It will contain functionality including:

• list Q drops that are possibly referenced by timestamp, or if it is tweet thread, examine the deltas between tweets and see if they might lead to Q posts that are relevant
• possibly applying the +/- 1200, 2400 rule when it comes to looking up Q posts
• List capitalized letters within tweet, find possible anagrams (incl. those of common relevant abbreviations), calc gematria values (cap. letters only)
• Check tweet's overall gematria value
• use natural language processing API to determine topics written about in a tweet
• use NLP API to perform sentiment analysis and categorize tweet as positive, neutral, or negative. can also be used to compute objectivity vs subjectivity

not very difficult to do with php and I could probably do it in about half of a weekend. is this a stupid idea, or might it be useful? if anyone has any other feature suggestions, please do describe them as well.

update: there is one moron in here who keeps accusing me of being a paytriot. I want to make very clear that this is NOT a commercial venture of any sort. IF it comes to fruition, it will be 100% free, open source, and hosted on a server that I personally own (i.e. not monetized by ads or anything of the sort). Note the word "if" - that is the point of this topic, I haven't even definitively said that this is something I intend to pursue. I made this thread to gauge interest in it and hear others' opinions. This is simply what I thought would be an interesting project that maybe some people would benefit from or find useful, NOT a commercial venture of any sort, as I've stated over and over in the comments below.