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Mark Zuckerberg's biggest legal nightmare yet could cost Meta $1.4T
Dua Lipa opens library for banned and censored books in Portugal
Show HN: Yamanote.fun – A complete soundscape for Tokyo's Yamanote line
After visiting Japan for the first time a decade ago I became completely enamoured with Tokyo's Yamanote Line railway loop. Particularly the sonic experience of it. Like so many others I fell in love with the charming departure melodies and enjoyed discovering experiences like Yamanot.es ( https://news.ycombinator.com/item?id=45045307 ) here on Hacker News when I returned home. But it wasn't until my second trip to Tokyo that I truly appreciated how much the door chimes, on-board announcements a
98% Isn't Much
A better way to tie your gym shorts. (Or any drawstring) [video]
Show HN: PostgreSQL performance and cost across 23 EC2 instance types
Hey! I'm Andrei. I got frustrated by how people tend to build overcomplicated backend systems, being "motivated" by big tech case studies and popular books. So, I started exploring lean architecture, and building my digital garden of ideas, approaches and data that align with this direction. Here I want to present one of the tools – Sizing tool for PostgreSQL. I've benchmarked PostgreSQL on different EC2 instances and disks, with different initial data sets to see performance that these instance
StreetComplete: Fixing OpenStreetMap, one tiny quest at a time
Abject Praise
Tell HN: Who wants to be hired" posts outpace "Who's hiring" 2 to 1
Lately I've noticed that "Who wants to be hired" posts are getting more comments than the "Who's hiring" ones. I pulled the data using HN API and confirmed this "reversal". "Who wants to be hired" posts are getting 2x more comments than "Who's hiring" posts (and seems to be accelerating). For reference, in 2022 it used to be 0.25. I'm old, I'm from the times where demand for software devs greatly outpaced supply, but maybe we're seeing a reversal of it? I don't want to draw any conclusions yet,
Show HN: Frugon – Find which LLM calls a cheaper model could handle (local, MIT)
I started leaning in on AI heavily this year, as I wanted to get more done autonomously, but then my token usage climbed dramatically to the point where my weekly quota would run out before the end of the week, sometimes a couple of days into the week. I realised I had to do something about it else I'd have to double my spend. So I decided to start tracking my cost per task type. This revealed that a lot of my spend went to searches/scans or simple things like scouting tasks. I then decided to t