Thread by @philipvollet, Insights from an open source influencerI'm often asked how I get my [...]

Philip Vollet

philipvollet

Insights from an open source influencer

I& #39;m often asked how I get my content, over the years I& #39;ve built an unusual technology stack for it

https://www.philipvollet.co"> https://www.philipvollet.co

Some insights:

I use Feedly for most content inputs because I can access the content through a single API endpoint and scraping is often pure pain.

@feedly

Feedly saves me a lot of time and manual work. https://feedly.com"> https://feedly.com

Feedly – More signal, less noise

Keep up with the topics and trends you care about, without the overwhelm. Make your research workflow efficient and enjoyable. Experience the power of RSS.

https://feedly.com

To pull and enrich my GitHub content I use ghapi from @fastdotai which provides a 100% always-updated coverage of the entire GitHub API

https://ghapi.fast.ai"> https://ghapi.fast.ai

The actual magic happens on my server infrastructure.

This is where the various data streams converge and are enriched.

The whole thing is based on Kafka streams so that if a pipeline stops it can be started up again without any problems.

Then a wild mix of machine learning NLP pipelines between @huggingface and @spacy_io is used to classify, score and tag the content.

For analysis I have a @neo4j instance to analyze my network relations and the engagement.

This is also used to find potential new sources.

Why?

Because it& #39;s about engagement, influence and adding value

Spread the open source love!

If you know an amazing project drop me a message
@philipvollet

https://www.philipvollet.co"> https://www.philipvollet.co

You can follow @philipvollet.

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