Hacker news

Article URL: https://micahflee.com/telemessage-customers-include-dc-police-andreesen-horowitz-jp-morgan-and-hundreds-more/

Comments URL: https://news.ycombinator.com/item?id=44099096

Points: 23

# Comments: 0

https://micahflee.com/telemessage-customers-include-dc-police-andreesen-horowi

Article URL: https://www.zdnet.com/article/massive-data-breach-exposes-184-million-passwords-for-google-microsoft-facebook-and-more/

Comments URL: https://news.ycombinator.com/item?id=44099008

Points: 41

# Comments: 13

https://www.zdnet.com/article/massive-data-breach-exposes

Hey HN! Lev here, author of PgDog (https://github.com/pgdogdev/pgdog). I’m scaling our favorite database, PostgreSQL. PgDog is a new open source proxy, written in Rust, with first-class support for sharding — without changes to your app or needing database extensions.

Here’s a walkthrough of how it works: " rel="nofollow">

Running Postgres at

Article URL: https://spectrum.ieee.org/microled-optical-chiplet

Comments URL: https://news.ycombinator.com/item?id=44099407

Points: 10

# Comments: 0

https://spectrum.ieee.org/microled-optical-chiplet

Article URL: https://write.as/bortzmeyer/no-torrentfreak-what-you-write-about-google-public-dns-is-not-true

Comments URL: https://news.ycombinator.com/item?id=44095549

Points: 28

# Comments: 5

https://write.as/bortzmeyer/no-torrentfreak-what-you-write-about-google-public-dns-is-not-true

Article URL: https://docs.emilua.org/api/0.11/index.html

Comments URL: https://news.ycombinator.com/item?id=44096907

Points: 8

# Comments: 1

https://docs.emilua.org/api/0.11/index.html

Article URL: https://arstechnica.com/information-technology/2025/05/where-hyperscale-hardware-goes-to-retire-ars-visits-a-very-big-itad-site/

Comments URL: https://news.ycombinator.com/item?id=44097289

Points: 18

# Comments: 0

https://arstechnica.com/information-tech

Article URL: https://nymag.com/intelligencer/article/google-ai-mode-search-results-bury-the-web.html

Comments URL: https://news.ycombinator.com/item?id=44097490

Points: 18

# Comments: 1

https://nymag.com/intelligencer/article/google-ai-mode-search-results-bury-the-web.html

Article URL: https://blog.rust-lang.org/2025/05/26/demoting-i686-pc-windows-gnu/

Comments URL: https://news.ycombinator.com/item?id=44097637

Points: 44

# Comments: 13

https://blog.rust-lang.org/2025/05/26/demoting-i686-pc-windows-gnu/

I've been building stuff with LLMs, and every time I need user context, I end up manually wiring up a context pipeline.

Sure, the model can reason and answer questions well, but it has zero idea who the user is, where they came from, or what they've been doing in the app. Without that, I either have to make the model ask awkward initial questions to figure it out or let it guess, which is usually wrong.

So I keep rebuilding the same setup: tracking events, enriching sessions, summarizing