A Guide to Local Coding Models
aiforswes.com
Show HN: Books mentioned on Hacker News in 2025
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The gift card accountability sink
bitsaboutmoney.com
More on whether useful quantum computing is "imminent"
scottaaronson.blog
Show HN: WalletWallet – create Apple passes from anything
walletwallet.alen.ro
Mullvad VPN: "This is a Chat Control 3.0 attempt."
mastodon.online
I can't upgrade to Windows 11, now leave me alone
idiallo.com
Structured outputs create false confidence
boundaryml.com
CO2 batteries that store grid energy take off globally
spectrum.ieee.org
ARIN Public Incident Report – 4.10 Misissuance Error
arin.net
Show HN: Autograd.c – a tiny ML framework built from scratch
github.com
You’re not burnt out, you’re existentially starving
neilthanedar.com
Get an AI code review in 10 seconds
oldmanrahul.com
Indoor tanning makes youthful skin much older on a genetic level
ucsf.edu
Show HN: Shittp – Volatile Dotfiles over SSH
github.com
Three Ways to Solve Problems
andreasfragner.com
FWS – pip-installable embedded process supervisor with PTY/pipe/dtach back ends
Show HN: RenderCV – Open-source CV/resume generator, YAML to PDF
github.com
We’re building Largemem, (https://largemem.com) a shared knowledge base where groups upload and maintain a common set of documents (PDFs, scans, audio) and query them conversationally.
Each group has its own persistent knowledge base. We parse content into chunks, extract entities, and combine vector search with a lightweight knowledge graph, so answers can synthesize information across multiple documents and across the group’s shared context - not just retrieve isolated snippets.
We would love to hear your feedback!