Inspiration
I took inspiration from Apple's shortcut app as well as Twitter's own recommendations.
What it does
It uses special algorithms to calculate a user or tweet's relevancy score. Additionally it includes a Blockly editor that translates blocks into Twitter API calls
How I built it
I built it on the backed using Firebase as a cacheing layer and Node.js for scripting. On the frontend, I developed a Blockly editor customized with methods to execute in the backend.
Challenges I ran into
I ran into many challenges, mostly with the Account Activity API, as well as when trying to develop a Google Chrome extension. Likewise I ran into time issues due to my poor internet connectivity at the last moment :(
Accomplishments that I'm proud of
I am proud about the progress made and I think it can be extended even further with help from a team.
What I learned
What's next for Twitter++
Built With
- blockly
- node.js
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