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waholleyiv

If I walk into a store and make no purchase creates no value for the store. Visiting a website with a Facebook tracker (21.9% of the web) and making no purchase creates value for Facebook.
In another light, Google and Facebook have a duopoly over customer relationships. Imagine for a moment you are a bodega owner. You know the names and faces of frequent customers, their usual order, and have personal rapport. Now imagine you are a digital publisher. Readers come to your site from Google and Facebook, and often read your content directly on these platforms. You know very little about your readers and pay Facebook and Google to target ads to your readers; you leave it up to G/F to decide who / how to target.

Selling Personal Browsing History

Are you developing a product / service targeting software engineers and a corresponding strategy on getting their attention?I am selling my March 2020 browsing history along with my demographic profile. Comment your email if you are interested in purchasing and I will reach out directly. Thanks.

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Re:Tell HN: How USA school closure seems to be working out on Saturday March 07, 2020 @12:41PM (#22512829)
TLDR: opportunity cost

It is the primarily responsibility in some domains. For others, the system is designed to allocate responsibility to the education system in order to balance with the time demands of fully employed parent(s) (to support the family) and the cost that would be otherwise incurred.

Re:Ask HN: Who is hiring? (March 2019) on Saturday March 02, 2019 @11:04AM (#19289720)
Arthena (YC W'17) | Senior Data Scientist | SoHo, NYC | ONSITE | https://arthena.com/ | Full Time |

Arthena is a YC W‘17 company that quantitatively analyzes and prices art to create financial products for the art market. We’re passionate about using data to understand the drivers of this opaque, centuries-old market. Our tight-knit team is comprised of engineers, data scientists, and fine art experts working together at the intersection of art, finance, and technology. We value intellectual curiosity, creative idea generation, and close collaboration.

Our data scientists analyze millions of records from decades of past art sales to generate quantitative signals used to drive business decisions. They work closely with software engineers to productionize models and with art experts to incorporate domain knowledge.

Please contact [email protected] if interested.

What you're describing is about end-user empathy than being "practical" or "clever".