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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
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
AWS CEO says using AI to replace junior staff is 'Dumbest thing I've ever heard' (🔥 Score: 153+ in 1 hour)
Link: https://readhacker.news/s/6A6C9
Comments: https://readhacker.news/c/6A6C9
SK hynix dethrones Samsung as world’s top DRAM maker (❄️ Score: 150+ in 3 days)
Link: https://readhacker.news/s/6zSec
Comments: https://readhacker.news/c/6zSec
A statistical analysis of Rotten Tomatoes (Score: 152+ in 11 hours)
Link: https://readhacker.news/s/6A5en
Comments: https://readhacker.news/c/6A5en
D4d4 (❄️ Score: 158+ in 3 days)
Link: https://readhacker.news/s/6zRWj
Comments: https://readhacker.news/c/6zRWj
Tiny microbe challenges the definition of cellular life (Score: 150+ in 1 day)
Link: https://readhacker.news/s/6zZQp
Comments: https://readhacker.news/c/6zZQp
Code review can be better (Score: 156+ in 5 hours)
Link: https://readhacker.news/s/6A58x
Comments: https://readhacker.news/c/6A58x
CRDT: Text Buffer (Score: 150+ in 1 day)
Link: https://readhacker.news/s/6zZi5
Comments: https://readhacker.news/c/6zZi5
An Update on Pytype (Score: 150+ in 9 hours)
Link: https://readhacker.news/s/6A3VE
Comments: https://readhacker.news/c/6A3VE
Show HN: Project management system for Claude Code (Score: 150+ in 14 hours)
Link: https://readhacker.news/s/6A2VL
Comments: https://readhacker.news/c/6A2VL
I built a lightweight project management workflow to keep AI-driven development organized.
The problem was that context kept disappearing between tasks. With multiple Claude agents running in parallel, I’d lose track of specs, dependencies, and history. External PM tools didn’t help because syncing them with repos always created friction.
The solution was to treat GitHub Issues as the database. The "system" is ~50 bash scripts and markdown configs that:
- Brainstorm with you to create a markdown PRD, spins up an epic, and decomposes it into tasks and syncs them with GitHub issues
- Track progress across parallel streams
- Keep everything traceable back to the original spec
- Run fast from the CLI (commands finish in seconds)
We’ve been using it internally for a few months and it’s cut our shipping time roughly in half. Repo: https://github.com/automazeio/ccpm
It’s still early and rough around the edges, but has worked well for us. I’d love feedback from others experimenting with GitHub-centric project management or AI-driven workflows.
Databricks is raising a Series K Investment at >$100B valuation (Score: 150+ in 16 hours)
Link: https://readhacker.news/s/6A2sW
Comments: https://readhacker.news/c/6A2sW
AWS in 2025: Stuff you think you know that's now wrong (Score: 150+ in 4 hours)
Link: https://readhacker.news/s/6A3DW
Comments: https://readhacker.news/c/6A3DW
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?
Mark Zuckerberg freezes AI hiring amid bubble fears (🔥 Score: 158+ in 2 hours)
Link: https://readhacker.news/s/6A6kt
Comments: https://readhacker.news/c/6A6kt
French firm Gouach is pitching an Infinite Battery with replaceable cells (❄️ Score: 151+ in 3 days)
Link: https://readhacker.news/s/6zTg9
Comments: https://readhacker.news/c/6zTg9
Home Depot sued for 'secretly' using facial recognition at self-checkouts (Score: 150+ in 19 hours)
Link: https://readhacker.news/s/6A3CD
Comments: https://readhacker.news/c/6A3CD
MapLibre Tile: A next generation geospatial format optimized for rendering (❄️ Score: 150+ in 2 days)
Link: https://readhacker.news/s/6zUci
Comments: https://readhacker.news/c/6zUci
Introduction to AT Protocol (Score: 151+ in 10 hours)
Link: https://readhacker.news/s/6A4qB
Comments: https://readhacker.news/c/6A4qB
Closer to the Metal: Leaving Playwright for CDP (Score: 150+ in 13 hours)
Link: https://readhacker.news/s/6A3Ep
Comments: https://readhacker.news/c/6A3Ep
Mirrorshades: The Cyberpunk Anthology (1986) (Score: 150+ in 19 hours)
Link: https://readhacker.news/s/6A2Gb
Comments: https://readhacker.news/c/6A2Gb
Vibe coding creates a bus factor of zero (Score: 152+ in 5 hours)
Link: https://readhacker.news/s/6A4VA
Comments: https://readhacker.news/c/6A4VA
Why are anime catgirls blocking my access to the Linux kernel? (Score: 150+ in 7 hours)
Link: https://readhacker.news/s/6A3yj
Comments: https://readhacker.news/c/6A3yj
Zedless: Zed fork focused on privacy and being local-first (🔥 Score: 169+ in 1 hour)
Link: https://readhacker.news/s/6A4iW
Comments: https://readhacker.news/c/6A4iW
Pixel 10 Phones (🔥 Score: 151+ in 1 hour)
Link: https://readhacker.news/s/6A3Zv
Comments: https://readhacker.news/c/6A3Zv