Over the last weekend, I rifled through over 370,000 completed auctions on govauctions.app, to see if I could find any fun and unintuitive patterns. About six potentially profitable patterns are supported by the data.
A subset of the data is available for download at the bottom of the post if you're interested in poking around. Let me know what you think.
Real estate specifically is very hard to "value" sight unseen from a bidding perspective. The post I shared - with the information on what to look out for as well as possible additional costs - is part of helping people to understand what to bid.
You still go back to the complete map when you navigate back out of a listing, so it doesn't really help much. The state-level zoom helps a little but it's not enough to distinguish markers in the same city, for example.
Over the weekend, I pulled some data from my website to find the cheapest homes you can buy from the US federal government. The outliers (a $3,000 house in Flint, MI) are often in quite a state of disrepair, but there are lots of...lots...which are in reasonable condition across many US states.
Indeed, I recently added an API with a free tier (https://govauctions.app/developers) If the free cap is too low for you to get an understanding of what you can do with it, let me know.
For context regarding JS, this is what the site looks like on my phone (iOS 14): https://imgur.com/a/K0OGEma . While Reynard (browser) does make it work mostly, the sort by selection doesn’t - a minor complaint to an otherwise much better experience for accessing gov auctions.
A subset of the data is available for download at the bottom of the post if you're interested in poking around. Let me know what you think.