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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
Zig's new LinkedList API (it's time to learn fieldParentPtr) (Score: 153+ in 8 hours)
Link: https://readhacker.news/s/6sJuM
Comments: https://readhacker.news/c/6sJuM
GPT-4.1 in the API (🔥 Score: 152+ in 48 minutes)
Link: https://readhacker.news/s/6sKEU
Comments: https://readhacker.news/c/6sKEU
A hackable AI assistant using a single SQLite table and a handful of cron jobs (🔥 Score: 157+ in 2 hours)
Link: https://readhacker.news/s/6sJYZ
Comments: https://readhacker.news/c/6sJYZ
Writing my own dithering algorithm in Racket (Score: 150+ in 19 hours)
Link: https://readhacker.news/s/6sH6f
Comments: https://readhacker.news/c/6sH6f
Problems with Go channels (2016) (Score: 150+ in 1 day)
Link: https://readhacker.news/s/6sFw7
Comments: https://readhacker.news/c/6sFw7
Implementing DeepSeek R1's GRPO algorithm from scratch (Score: 150+ in 18 hours)
Link: https://readhacker.news/s/6sGVB
Comments: https://readhacker.news/c/6sGVB
Math 13 – An Introduction to Abstract Mathematics [pdf] (Score: 150+ in 16 hours)
Link: https://readhacker.news/s/6sH6g
Comments: https://readhacker.news/c/6sH6g
Show HN: I made a free tool that analyzes SEC filings and posts detailed reports (Score: 152+ in 12 hours)
Link: https://readhacker.news/s/6sH5a
Comments: https://readhacker.news/c/6sH5a
(* within a few minutes of SEC filing)
Currently does it for 1000+ US companies and specifically earnings related filings.
By US companies, I mean the ones that are obliged to file SEC filings.
This was the result of almost a year long effort and hundreds of prototypes :)
It currently auto-publishes for 1000 ish US companies by market cap, relies on 8-K filing as a trigger.
e.g. https://www.signalbloom.ai/news/NVDA will take you to NVDA earnings
Would be grateful to get some feedback. Especially if you follow a company, check its reports out. Thank you!
Some examples:
https://www.signalbloom.ai/news/AAPL/apple-q1-eps-beats-desp...
https://www.signalbloom.ai/news/NVDA/nvidia-revenue-soars-ma...
https://www.signalbloom.ai/news/JPM/jpm-beats-estimates-on-c... (JPM earnings from Friday)
Hallucination note: https://www.signalbloom.ai/hallucination-benchmark
I bought a Mac (Score: 150+ in 6 hours)
Link: https://readhacker.news/s/6sHFp
Comments: https://readhacker.news/c/6sHFp
Open guide to equity compensation (Score: 154+ in 4 hours)
Link: https://readhacker.news/s/6sH2Y
Comments: https://readhacker.news/c/6sH2Y
Why Fennel? (Score: 150+ in 6 hours)
Link: https://readhacker.news/s/6sGwR
Comments: https://readhacker.news/c/6sGwR
Googler... ex-Googler (Score: 150+ in 1 day)
Link: https://readhacker.news/s/6sBAK
Comments: https://readhacker.news/c/6sBAK
Philip K. Dick: Stanisław Lem Is a Communist Committee (Score: 150+ in 1 day)
Link: https://readhacker.news/s/6sCna
Comments: https://readhacker.news/c/6sCna
The Bitter Prediction (Score: 152+ in 1 day)
Link: https://readhacker.news/s/6sD4Q
Comments: https://readhacker.news/c/6sD4Q
YAML: The Norway Problem (2022) (Score: 150+ in 12 hours)
Link: https://readhacker.news/s/6sEQU
Comments: https://readhacker.news/c/6sEQU
The Path to Open-Sourcing the DeepSeek Inference Engine (🔥 Score: 157+ in 2 hours)
Link: https://readhacker.news/s/6sKfi
Comments: https://readhacker.news/c/6sKfi
How Monty Python and the Holy Grail became a comedy legend (❄️ Score: 150+ in 4 days)
Link: https://readhacker.news/s/6suTC
Comments: https://readhacker.news/c/6suTC
New Vulnerability in GitHub Copilot, Cursor: Hackers Can Weaponize Code Agents (Score: 150+ in 15 hours)
Link: https://readhacker.news/s/6sHDD
Comments: https://readhacker.news/c/6sHDD
How much oranger do red orange bags make oranges look? (Score: 153+ in 23 hours)
Link: https://readhacker.news/s/6sGAB
Comments: https://readhacker.news/c/6sGAB
Mario Vargas Llosa has died (Score: 151+ in 10 hours)
Link: https://readhacker.news/s/6sHUP
Comments: https://readhacker.news/c/6sHUP
Kezurou-Kai #39 (Score: 152+ in 5 hours)
Link: https://readhacker.news/s/6sJge
Comments: https://readhacker.news/c/6sJge
Albert Einstein's theory of relativity in words of four letters or less (Score: 151+ in 6 hours)
Link: https://readhacker.news/s/6sJ3S
Comments: https://readhacker.news/c/6sJ3S
Show HN: Chonky – a neural approach for text semantic chunking (❄️ Score: 150+ in 2 days)
Link: https://readhacker.news/s/6szXi
Comments: https://readhacker.news/c/6szXi
TLDR: I’ve made a transformer model and a wrapper library that segments text into meaningful semantic chunks.
The current text splitting approaches rely on heuristics (although one can use neural embedder to group semantically related sentences).
I propose a fully neural approach to semantic chunking.
I took the base distilbert model and trained it on a bookcorpus to split concatenated text paragraphs into original paragraphs. Basically it’s a token classification task. Model fine-tuning took day and a half on a 2x1080ti.
The library could be used as a text splitter module in a RAG system or for splitting transcripts for example.
The usage pattern that I see is the following: strip all the markup tags to produce pure text and feed this text into the model.
The problem is that although in theory this should improve overall RAG pipeline performance I didn’t manage to measure it properly. Other limitations: the model only supports English for now and the output text is downcased.
Please give it a try. I'll appreciate a feedback.
The Python library: https://github.com/mirth/chonky
The transformer model: https://huggingface.co/mirth/chonky_distilbert_base_uncased_...
Everything wrong with MCP (Score: 153+ in 6 hours)
Link: https://readhacker.news/s/6sHym
Comments: https://readhacker.news/c/6sHym
Ask HN: How do you monetize personal code if it's not an "app"? (Score: 150+ in 1 day)
Link: https://readhacker.news/c/6sEHH
Hey HN,
I’ve been thinking a lot about this lately and wanted to ask — how do you monetize your personal code if it doesn’t really fit into a classic product or SaaS model?
For example:
* I have a trained ML model that solves a niche task really well — but turning it into a full-blown app seems like overkill.
* I’ve written a CLI tool that processes log files better than anything else I’ve found, but it’s too specialized to justify making a company out of it.
* I built a few small functions in different languages (Python, Go, Rust) that do neat things — data cleanup, API scraping, PDF generation — but none of them are “products” by themselves.
I’m exploring ways to package and expose this kind of work: maybe as paid APIs, small function services, or even “pocket FaaS” instances others can plug into.
Curious if anyone here has tried something similar — or if you’ve seen creative ways to turn technical tools or utilities into sustainable side income.
Thanks in advance for sharing ideas or examples!
A Reddit bot drove me insane (Score: 154+ in 7 hours)
Link: https://readhacker.news/s/6sG5D
Comments: https://readhacker.news/c/6sG5D
The Dark Side of the Moomins (Score: 151+ in 4 hours)
Link: https://readhacker.news/s/6sGdK
Comments: https://readhacker.news/c/6sGdK
Whenever – typed and DST-safe datetimes for Python (Score: 151+ in 6 hours)
Link: https://readhacker.news/s/6sFNN
Comments: https://readhacker.news/c/6sFNN
Show HN: memEx, a personal knowledge base inspired by zettlekasten and org-mode (Score: 150+ in 16 hours)
Link: https://readhacker.news/s/6sEsX
Comments: https://readhacker.news/c/6sEsX
Why is there a “small house” in IBM's Code page 437? (Score: 150+ in 15 hours)
Link: https://readhacker.news/s/6sEs4
Comments: https://readhacker.news/c/6sEs4