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Relevant reading [The 5 Pillars of PriceOps](https://priceops.org/)


Here's my two cents - I think it's fragmentation - especially when fundraising, you're getting buried in lists-of-lists.

I proded at building a solution for this - explained here https://ntheses.com/


Thanks for the comment! I'll check it for sure


In Peter Watts's novel Blindsight, alien entities known as "Scramblers" exhibit complex behaviors and high intelligence without evidence of consciousness, relying on intricate physical movements and environmental interactions.


To anyone who enjoyed this [Harlan Ellison's Watching - YouTube](https://www.youtube.com/playlist?list=PLn5mSh00tKGGwiZ0CsZvW...)


The histogram is great, nice work;

I want to ask about adjacent projects - user interface libraries that provide input elements for providing ranges and approximate values. I'm starting my search around https://www.inkandswitch.com/ and https://malleable.systems/catalog/ but I think our collective memory has seen more examples.


Clever sounding but rather dry without an example - anyone seen one?


Maybe I'm hijacking, but I see a generalized problem - how do you keep snippets of text that you use in your browser?

My current kludge is to edit long fields of text in an external editor via a browser addon, and have the editor save all such edits locally.


It's interesting to view the story systematically—policymakers likely aimed to reduce short-term rentals. Instead of using taxes or permits, they targeted a step in the system that’s easier to enforce.

This approach, where actions & policies aren't directly tied to outcomes, is rare in current discourse and strategy-making.


Criminality/terrorism is the stated reason, but it is a clever way to push out the larger operators. Retail good, wholesale bad. Less upward pressure on real estate prices.


The “think of the children” type of excuses is always helpful. Strange to use a terrorism excuse though since there is already negative sentiment about “too many AirBnB apartments in our city”


True dat. Altho they also have to counteract any pro-AirBnB (landlord) lobby.


Great website & copy!

Are you obtaining the data via partneships with sources, or scraping? If the latter, do you forsee risks from the publishers?


Thanks!

We scrape only publicly available data and promote fair use.


Curious to hear about typical use cases for this


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