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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
I was banned from the hCaptcha accessibility account for not being blind (2023) (Score: 166+ in 5 hours)
Link: https://readhacker.news/s/6i9sw
Comments: https://readhacker.news/c/6i9sw
Show HN: Nova JavaScript Engine (Score: 152+ in 16 hours)
Link: https://readhacker.news/s/6i8uY
Comments: https://readhacker.news/c/6i8uY
We're building a different kind of JavaScript engine, based on data-oriented design and willingness to try something quite out of left field. This is most concretely visible in our major architectural choices:
1. All data allocated on the JavaScript heap is placed into a type-specific vector. Numbers go into the numbers vector, strings into the strings vector, and so on.
2. All heap references are type-discriminated indexes: A heap number is identified by its discriminant value and the index to which it points to in the numbers vector.
3. Objects are also split up into object kind -specific vectors. Ordinary objects go into one vector, Arrays go into another, DataViews into yet another, and so on.
4. Unordinary objects' heap data does not contain ordinary object data but instead they contain an optional index to the ordinary objects vector.
5. Objects are aggressively split into parts to avoid common use-cases having to reading parts that are known to be unused.
If this sounds interesting, I've written a few blog posts on the internals of Nova over in our blog, you can jump into that here: https://trynova.dev/blog/what-is-the-nova-javascript-engine
Xogot – Godot for iPad (Score: 150+ in 1 day)
Link: https://readhacker.news/s/6i6gZ
Comments: https://readhacker.news/c/6i6gZ
How Japanese black companies oppress workers (2014) (Score: 151+ in 9 hours)
Link: https://readhacker.news/s/6i8WR
Comments: https://readhacker.news/c/6i8WR
We are shutting down the Ondsel FreeCAD business (Score: 157+ in 4 hours)
Link: https://readhacker.news/s/6i95G
Comments: https://readhacker.news/c/6i95G
Creating a QR Code step by step (Score: 154+ in 10 hours)
Link: https://readhacker.news/s/6i7KQ
Comments: https://readhacker.news/c/6i7KQ
AlphaProof's Greatest Hits (Score: 151+ in 10 hours)
Link: https://readhacker.news/s/6i7Bx
Comments: https://readhacker.news/c/6i7Bx
Why did Windows 95 setup use three operating systems? (Score: 151+ in 5 hours)
Link: https://readhacker.news/s/6i7Z8
Comments: https://readhacker.news/c/6i7Z8
Voyager 1 Breaks Its Silence with NASA via Radio Transmitter Not Used Since 1981 (❄️ Score: 153+ in 6 days)
Link: https://readhacker.news/s/6hM28
Comments: https://readhacker.news/c/6hM28
Claude AI built me a React app to compare maps side by side (Score: 152+ in 7 hours)
Link: https://readhacker.news/s/6i7d7
Comments: https://readhacker.news/c/6i7d7
Humans have caused 1.5 °C of long-term global warming according to new estimates (🔥 Score: 161+ in 1 hour)
Link: https://readhacker.news/s/6i7NQ
Comments: https://readhacker.news/c/6i7NQ
Everything Is Just Functions: Mind-Blowing Insights from SICP and David Beazley (🔥 Score: 154+ in 3 hours)
Link: https://readhacker.news/s/6i7kf
Comments: https://readhacker.news/c/6i7kf
All-in-one embedding model for interleaved text, images, and screenshots (Score: 152+ in 8 hours)
Link: https://readhacker.news/s/6i6HY
Comments: https://readhacker.news/c/6i6HY
Teach yourself to echolocate (Score: 152+ in 12 hours)
Link: https://readhacker.news/s/6i5Ur
Comments: https://readhacker.news/c/6i5Ur
Stop making me memorize the borrow checker (Score: 150+ in 10 hours)
Link: https://readhacker.news/s/6i647
Comments: https://readhacker.news/c/6i647
Reactive HTML Notebooks (Score: 152+ in 7 hours)
Link: https://readhacker.news/s/6i9iW
Comments: https://readhacker.news/c/6i9iW
Show HN: The App I Built to Help Manage My Diabetes (Score: 152+ in 15 hours)
Link: https://readhacker.news/s/6i8AM
Comments: https://readhacker.news/c/6i8AM
Hi HN,
I’m Joshua, a student, and I’m excited (and a little nervous) to share something deeply personal that I’ve been working on: Islet, my diabetes management app powered by GPT-4o-mini. It’s now on the App Store, but I want to be upfront—it’s still very much in its early stages, with a lot more to go.
I was diagnosed with Type 1 diabetes while rowing competitively, and that moment changed everything. It wasn’t just the practical challenges of managing insulin, carb counts, and blood sugars; it fundamentally shifted how I see myself and the world. It forced me to slow down, prioritise my health, and take control in ways I never had to before. My outlook on life became more focused on resilience, adaptability, and finding solutions to problems that truly matter.
This app started as a pet project over the summer, a way to see what I could create using ChatGPT and explore the potential of LLMs to help with real-world challenges. At first, it was just about making my own diabetes management easier—understanding patterns in blood sugars, planning meals, and adjusting routines. But as I worked on it, I realised it could do more.
Right now, Islet offers personalised meal suggestions, tracks activity, and provides basic insights based on the data you enter. It’s far from complete. Even so, the process of building Islet has already taught me so much about how powerful AI can be in creating personal, meaningful tools.
This project is deeply tied to how my diagnosis changed me. It’s about more than managing diabetes, it’s about showing how anyone, even a student experimenting over the summer, can use AI to potentially solve real, personal problems. I believe tools like LLMs have the power to democratise solutions for all, making life just a bit easier for all of us.
If you’re curious, you can check it out here: https://apps.apple.com/gb/app/islet-diabetes/id6453168642. I’d love to hear your thoughts what works, what doesn’t, and what features you think would make it better. Your input could help shape the next steps for Islet.
Thanks for reading !
joshua
You could have designed state of the art positional encoding (Score: 150+ in 17 hours)
Link: https://readhacker.news/s/6i87e
Comments: https://readhacker.news/c/6i87e
Japanese workers turn to resignation agencies (Score: 151+ in 8 hours)
Link: https://readhacker.news/s/6i8Lm
Comments: https://readhacker.news/c/6i8Lm
Two Nobel Prize winners want to cancel their own CRISPR patents in Europe (Score: 150+ in 1 day)
Link: https://readhacker.news/s/6i6qS
Comments: https://readhacker.news/c/6i6qS
Garak, LLM Vulnerability Scanner (Score: 151+ in 16 hours)
Link: https://readhacker.news/s/6i73h
Comments: https://readhacker.news/c/6i73h
Reverse Engineering iOS 18 Inactivity Reboot (Score: 150+ in 4 hours)
Link: https://readhacker.news/s/6i8jt
Comments: https://readhacker.news/c/6i8jt
Constraints in Go (Score: 150+ in 15 hours)
Link: https://readhacker.news/s/6i6Ny
Comments: https://readhacker.news/c/6i6Ny
The myth that you can’t build interactive web apps except as single page app (Score: 151+ in 7 hours)
Link: https://readhacker.news/s/6i7dk
Comments: https://readhacker.news/c/6i7dk
Good Software Development Habits (Score: 158+ in 4 hours)
Link: https://readhacker.news/s/6i7vt
Comments: https://readhacker.news/c/6i7vt
Bpftune uses BPF to auto-tune Linux systems (Score: 152+ in 7 hours)
Link: https://readhacker.news/s/6i73p
Comments: https://readhacker.news/c/6i73p
Logica – Declarative logic programming language for data (Score: 150+ in 21 hours)
Link: https://readhacker.news/s/6i5pp
Comments: https://readhacker.news/c/6i5pp
Statistical Rethinking (2024 Edition) (Score: 150+ in 17 hours)
Link: https://readhacker.news/s/6i5dp
Comments: https://readhacker.news/c/6i5dp
James Gleick's Chaos: The Software (Score: 151+ in 10 hours)
Link: https://readhacker.news/s/6i66H
Comments: https://readhacker.news/c/6i66H
I tried every top email marketing tool (Score: 153+ in 1 day)
Link: https://readhacker.news/s/6hZDt
Comments: https://readhacker.news/c/6hZDt