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Quantitative Home Buying Guide: Bay Area
A framework for deciding when/where/how to buy a home
We spend a lot of time thinking about the home buying process and assembling data to inform decisions. We've decided to share some of our analysis more broadly. There are 4 major sections: deal economics, schools, commuting, and quality of life.
About Quantitative Home Buying Guide: Bay Area on Product Hunt
“A framework for deciding when/where/how to buy a home”
Quantitative Home Buying Guide: Bay Area launched on Product Hunt on January 8th, 2020 and earned 103 upvotes and 7 comments, placing #6 on the daily leaderboard. We spend a lot of time thinking about the home buying process and assembling data to inform decisions. We've decided to share some of our analysis more broadly. There are 4 major sections: deal economics, schools, commuting, and quality of life.
On the analytics side, Quantitative Home Buying Guide: Bay Area competes within Fintech and Tech — topics that collectively have 668.4k followers on Product Hunt. The dashboard above tracks how Quantitative Home Buying Guide: Bay Area performed against the three products that launched closest to it on the same day.
Who hunted Quantitative Home Buying Guide: Bay Area?
Quantitative Home Buying Guide: Bay Area was hunted by Sharon Pope. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Quantitative Home Buying Guide: Bay Area including community comment highlights and product details, visit the product overview.