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Top stories from https://news.ycombinator.com (with 100+ score) Contribute to the development here: https://github.com/phil-r/hackernewsbot Also check https://t.me/designer_news Contacts: @philr
Building AI products in the probabilistic era (Score: 150+ in 17 hours)
Link: https://readhacker.news/s/6A7Ze
Comments: https://readhacker.news/c/6A7Ze
Io_uring, kTLS and Rust for zero syscall HTTPS server (Score: 150+ in 4 hours)
Link: https://readhacker.news/s/6A9pK
Comments: https://readhacker.news/c/6A9pK
How does the US use water? (Score: 151+ in 19 hours)
Link: https://readhacker.news/s/6A6wL
Comments: https://readhacker.news/c/6A6wL
The Onion brought back its print edition and the gamble is paying off (Score: 152+ in 7 hours)
Link: https://readhacker.news/s/6A8L7
Comments: https://readhacker.news/c/6A8L7
The Core of Rust (Score: 150+ in 12 hours)
Link: https://readhacker.news/s/6A7rs
Comments: https://readhacker.news/c/6A7rs
How to stop feeling lost in tech: the wafflehouse method (Score: 150+ in 23 hours)
Link: https://readhacker.news/s/6A5mq
Comments: https://readhacker.news/c/6A5mq
CEO pay and stock buybacks have soared at the 100 largest low-wage corporations (🔥 Score: 152+ in 1 hour)
Link: https://readhacker.news/s/6A8Gh
Comments: https://readhacker.news/c/6A8Gh
How well does the money laundering control system work? (Score: 150+ in 9 hours)
Link: https://readhacker.news/s/6A6Df
Comments: https://readhacker.news/c/6A6Df
AI tooling must be disclosed for contributions (🔥 Score: 167+ in 1 hour)
Link: https://readhacker.news/s/6A832
Comments: https://readhacker.news/c/6A832
Unity reintroduces the Runtime Fee through its Industry license (Score: 153+ in 4 hours)
Link: https://readhacker.news/s/6A6Y7
Comments: https://readhacker.news/c/6A6Y7
Bank forced to rehire workers after lying about chatbot productivity, union says (🔥 Score: 160+ in 2 hours)
Link: https://readhacker.news/s/6A7jF
Comments: https://readhacker.news/c/6A7jF
Show HN: PlutoPrint – Generate PDFs and PNGs from HTML with Python (Score: 150+ in 21 hours)
Link: https://readhacker.news/s/6A4Hk
Comments: https://readhacker.news/c/6A4Hk
Hi everyone, I built PlutoPrint because I needed a simple way to generate beautiful PDFs and images directly from HTML with Python. Most of the tools I tried felt heavy, tricky to set up, or produced results that didn’t look great, so I wanted something lightweight, modern, and fast. PlutoPrint is built on top of PlutoBook’s rendering engine, which is designed for paged media, and then wrapped with a Python API that makes it easy to turn HTML or XML into crisp PDFs and PNGs. I’ve used it for things like invoices, reports, tickets, and even snapshots, and it can also integrate with Matplotlib to render charts directly into documents.
I’d be glad to hear what you think. If you’ve ever had to wrestle with generating PDFs or images from HTML, I hope this feels like a smoother option. Feedback, ideas, or even just impressions are all very welcome, and I’d love to learn how PlutoPrint could be more useful for you.
95% of Companies See 'Zero Return' on $30B Generative AI Spend (🔥 Score: 170+ in 1 hour)
Link: https://readhacker.news/s/6A7f2
Comments: https://readhacker.news/c/6A7f2
Weaponizing image scaling against production AI systems (Score: 152+ in 4 hours)
Link: https://readhacker.news/s/6A6wF
Comments: https://readhacker.news/c/6A6wF
Show HN: OS X Mavericks Forever (❄️ Score: 155+ in 2 days)
Link: https://readhacker.news/s/6zV3v
Comments: https://readhacker.news/c/6zV3v
Why Semantic Layers Matter (and how to build one with DuckDB) (❄️ Score: 150+ in 2 days)
Link: https://readhacker.news/s/6zYGr
Comments: https://readhacker.news/c/6zYGr
Control shopping cart wheels with your phone (2021) (Score: 150+ in 7 hours)
Link: https://readhacker.news/s/6A98n
Comments: https://readhacker.news/c/6A98n
Original DEF CON 29 (2021) talk: https://www.youtube.com/watch?v=fBICDODmCPI
Perfect Freehand – Draw perfect pressure-sensitive freehand lines (❄️ Score: 150+ in 2 days)
Link: https://readhacker.news/s/6zZm2
Comments: https://readhacker.news/c/6zZm2
Crimes with Python's Pattern Matching (2022) (Score: 150+ in 9 hours)
Link: https://readhacker.news/s/6A8e7
Comments: https://readhacker.news/c/6A8e7
Uv format: Code Formatting Comes to uv (experimentally) (Score: 150+ in 6 hours)
Link: https://readhacker.news/s/6A8nf
Comments: https://readhacker.news/c/6A8nf
The contrarian physics podcast subculture (Score: 150+ in 7 hours)
Link: https://readhacker.news/s/6A7DL
Comments: https://readhacker.news/c/6A7DL
An interactive guide to SVG paths (❄️ Score: 150+ in 3 days)
Link: https://readhacker.news/s/6zUSF
Comments: https://readhacker.news/c/6zUSF
DeepSeek-v3.1 Release (🔥 Score: 154+ in 2 hours)
Link: https://readhacker.news/s/6A86w
Comments: https://readhacker.news/c/6A86w
Forced every engineer to take sales calls.They rewrote our platform in 2 weeks (🔥 Score: 152+ in 3 hours)
Link: https://readhacker.news/s/6A7hg
Comments: https://readhacker.news/c/6A7hg
Beyond sensor data: Foundation models of behavioral data from wearables (Score: 153+ in 4 hours)
Link: https://readhacker.news/s/6A6ZZ
Comments: https://readhacker.news/c/6A6ZZ
Margin debt surges to record high (Score: 151+ in 6 hours)
Link: https://readhacker.news/s/6A6nE
Comments: https://readhacker.news/c/6A6nE
AI crawlers, fetchers are blowing up websites; Meta, OpenAI are worst offenders (Score: 155+ in 5 hours)
Link: https://readhacker.news/s/6A6qh
Comments: https://readhacker.news/c/6A6qh
Epson MX-80 Fonts (❄️ Score: 152+ in 4 days)
Link: https://readhacker.news/s/6zRBV
Comments: https://readhacker.news/c/6zRBV
Using Podman, Compose and BuildKit (Score: 151+ in 4 hours)
Link: https://readhacker.news/s/6A6jn
Comments: https://readhacker.news/c/6A6jn
Show HN: I replaced vector databases with Git for AI memory (PoC) (Score: 150+ in 9 hours)
Link: https://readhacker.news/s/6A5NY
Comments: https://readhacker.news/c/6A5NY
Hey HN! I built a proof-of-concept for AI memory using Git instead of vector databases.
The insight: Git already solved versioned document management. Why are we building complex vector stores when we could just use markdown files with Git's built-in diff/blame/history?
How it works:
Memories stored as markdown files in a Git repo
Each conversation = one commit
git diff shows how understanding evolves over time
BM25 for search (no embeddings needed)
LLMs generate search queries from conversation context
Example: Ask "how has my project evolved?" and it uses git diff to show actual changes in understanding, not just similarity scores.
This is very much a PoC - rough edges everywhere, not production ready. But it's been working surprisingly well for personal use. The entire index for a year of conversations fits in ~100MB RAM with sub-second retrieval.
The cool part: You can git checkout to any point in time and see exactly what the AI knew then. Perfect reproducibility, human-readable storage, and you can manually edit memories if needed.
GitHub: https://github.com/Growth-Kinetics/DiffMem
Stack: Python, GitPython, rank-bm25, OpenRouter for LLM orchestration. MIT licensed.
Would love feedback on the approach. Is this crazy or clever? What am I missing that will bite me later?