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At Stanford this weekend, we built Nexus: a graph visualization software that helps you discover meaningful relationships at events We scraped Slack data to extract interests and backgrounds, then using NLP to find similarities!

81,415 次观看 • 2 年前 •via X (Twitter)

12 条评论

rajan agarwal 的头像
rajan agarwal2 年前

Stanford campus beautiful as always

Polygon.io 的头像
Polygon.io1 年前

Learn how to access market data using Polygon's Stock API and the Python programming language.

Pansky 的头像
Pansky2 年前

@freemanjiangg @hackwithtrees Open Source that bad boy

rajan agarwal 的头像
rajan agarwal2 年前

@freemanjiangg @hackwithtrees

scophe 的头像
scophe2 年前

@freemanjiangg @hackwithtrees @_rajanagarwal could we embed personalities (1000+ attributes) to this graph and see relationships. I have the real dataset from my work, at UW also would like to talk.

rajan agarwal 的头像
rajan agarwal2 年前

@freemanjiangg @hackwithtrees check dms!

josef pacal 的头像
josef pacal2 年前

@freemanjiangg @hackwithtrees This is way cool! Wish we could do something like this dynamic for Open Knowledge Networks, thematic areas, and researchers relationships. How do you see this actionable in real life?

Cael Stewart 的头像
Cael Stewart2 年前

@freemanjiangg @hackwithtrees This is really cool! @0xSigil built something similar called Serendipity a while back

Ash 的头像
Ash2 年前

@freemanjiangg @hackwithtrees It would be awesome to have this for Twitter/X

Belinda 的头像
Belinda2 年前

@freemanjiangg @hackwithtrees super cool! What did you use for graph data viz?

anush 的头像
anush2 年前

@freemanjiangg @hackwithtrees we sure love a good semantic graph @devpatelio @patjaival

rajan agarwal 的头像
rajan agarwal2 年前

@freemanjiangg @hackwithtrees @devpatelio @patjaival miss the connexsci days

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