A raw dump of companies from all over the world by LinkedIn handle
blog.bigpicture.io
A raw dump of companies from all over the world by LinkedIn handle
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Re: A raw dump of companies from all over the world by LinkedIn handle
#2Hey HN, we're thrilled to announce our latest project - the World's Largest Open Source Company Dataset. Our team has been working hard on this product for the past few months, and we're excited to finally share it with you all.
We started off years ago trying to build a B2B app, but getting basic company data at scale was a huge barrier for us. This 15M+ record dataset attempts to solve that and has all the key company fields like name, industry, size, location, LinkedIn handle, etc. We aim to update it quarterly to ensure that you always have the most up-to-date information.
Disclaimer: Okay, we have to admit, we didn't exactly comb through every dataset out there to verify that ours is the world's largest, but we did our research, and we're pretty sure it might be. Whether or not that's true, we believe this dataset is a robust and invaluable resource for anyone interested in company data.
Re: A raw dump of companies from all over the world by LinkedIn handle
#3Hey HN, we're thrilled to announce our latest project - the World's Largest Open Source Company Dataset. Our team has been working hard on this product for the past few months, and we're excited to finally share it with you all. We started off years ago trying to build a B2B app, but getting basic company data at scale was a huge barrier for us. This 15M+ record dataset attempts to solve that and has all the key comp…
Out of curiosity: Would you be willing to share how you acquired this data? Website scraping or other means?
Re: A raw dump of companies from all over the world by LinkedIn handle
#4I looked at the attributes they say the dataset has.
Not too many (e.g. number of people, location).
The really interesting ones, like who is doing business with whom, are missing.
Re: A raw dump of companies from all over the world by LinkedIn handle
#5"With over 15 million global companies included..."
What distinguishes a global from a non-global company? Also, how many of these are anonymous Delaware/Nevada/South Dakota/etc-based shell companies, or are those excluded from the dataset somehow?
Re: A raw dump of companies from all over the world by LinkedIn handle
#6Hey HN, we're thrilled to announce our latest project - the World's Largest Open Source Company Dataset. Our team has been working hard on this product for the past few months, and we're excited to finally share it with you all. We started off years ago trying to build a B2B app, but getting basic company data at scale was a huge barrier for us. This 15M+ record dataset attempts to solve that and has all the key comp…
What's the license the dataset is released under? I poked around the documentation a bit but couldn't find it - apologies if it's in there!
Re: A raw dump of companies from all over the world by LinkedIn handle
#7What would be really interesting is to turn this into a graph based on, say, past experience of CEOs/big dealings with each other/etc.
Re: A raw dump of companies from all over the world by LinkedIn handle
#8I searched for a dataset like this for a long time, trying to use it to augment named entity recognition tasks for documents. But now that GPT is on the market, this works out of the box. It's still useful as reference for validation.
Re: A raw dump of companies from all over the world by LinkedIn handle
#9How do you plan to identify or differentiate between legal entities? Eg a big company like your Uber example will often numerous subsidiaries, in many jurisdictions.
Do you plan on including well-known identifiers like LEIs in your model?
Re: A raw dump of companies from all over the world by LinkedIn handle
#10I looked at the attributes they say the dataset has. Not too many (e.g. number of people, location). The really interesting ones, like who is doing business with whom, are missing.
I'd like to see parent company listed. How many brands fall under TTI or Unilever?
For example, a hierarchy of tool brands: https://www.protoolreviews.com/power-tool-manufacturers-who-...