I got tired to skim hundreds of RSS feeds, some very noisy. So I created an NLP and ML-powered RSS proxy that scores each message for "interestingness" and re-delivers it. "Interestingness" is a purely subjective classification based on explicit and implicit feedback. Still work in progress, but in production (one client, me). It's a new take on an old project. The old one used beautiful soup, bag-of-words features and SVMs and learned too slowly. The new one uses boilerpipe, sentence vector mapping and logistic regression and is good enough. It's not me, it is the whole field that has improved so much in a decade. I haven't thought about anyone else using it. If you want to try, you'll have to fight through the installation a bit. Open an issue if needed. https://github.com/piccolbo/rightload