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Become a sponsor to Lucas Ou-Yang

Hello and nice to meet you :) I am offering two sets of rewards for sponsors:

  • Newspaper3K, my popular GitHub repo that simplifies information retrieval for journalists. Newspaper3K quickly grew to one of the top used python projects on GitHub.
  • I'm also a successful software engineer in applied ML products, with 5 YoE shipping ML products used by 1+ billion people daily at Instagram, Facebook, and Snapchat. See my work here on early iterations of Instagram Search. I'd be happy to offer 1:1 interview coaching as well as career advice to aspiring devs that want to do impactful work in the industry or open source! :) 🔥

I expect most of my sponsors to be for Newspaper3K, so more on that below:

Newspaper3K on Github is at almost 8,000 stars, with contributions from 500+ incredibly talented hackers, engineers, and researchers around the world and community support in 20+ languages. Newspaper3K's primary features include: HTML => article full-text / keyword extraction, top-image extraction, and article newsy-ness identification and crawling, support in 20+ languages.

This service is already used around the world by startups, top news organizations (CNN, NYT, etc), graduate school researchers, and, of course, hackers like you :) Perhaps one day we can even tackle the fake news problem and be at the forefront of that. Click here to see the service on Github

Help support me via Github Sponsors so I can dedicate more of my time towards Newspaper3K! I plan on adding things like advanced machine learned based techniques for the news intelligence domain and improve advanced article identification. We can perhaps have lofty long-term goals as tackling the fake news problem.

I have lots of experience running, growing, managing newspaper3k library thus-far to almost 8,000 stars and many hundreds of forks on Github and additionally have expertise in machine learning & nlp.

Featured work

  1. codelucas/newspaper

    newspaper3k is a news, full-text, and article metadata extraction in Python 3. Advanced docs:

    HTML 15,000
  2. codelucas/flask_reddit

    Reddit clone in flask + python + nginx + https. View site:

    Python 536
  3. codelucas/cracking-the-da-vinci-code-with-google-interview-problems-and-nlp-in-python

    A guide on how to crack combinatorics puzzles shown in The Da Vinci Code movie using CS fundamentals and NLP

    Python 83
  4. codelucas/shorten.tv

    Python video summarization. Visit the public API at -- www.shorten.tv (EDIT: The domain expired and youtube blocked it ..)

    Python 84

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