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Japan develops a method to recover up to 90% of lithium from used EV batteries

https://tech.supercarblondie.com/japan-recovers-up-to-90-of-lithium-from-used-ev-batteries/
256•donohoe•3h ago•63 comments

YouTrackDB is a general-use object-oriented graph database

https://github.com/JetBrains/youtrackdb
67•gjvc•2h ago•11 comments

The Git history command deserves more attention

https://lalitm.com/post/git-history/
201•turbocon•5h ago•116 comments

Australia is offering free daytime electricity

https://lenergy.com.au/free-daytime-electricity-is-coming-heres-how-it-actually-works/
45•i2oc•1h ago•38 comments

Fundamentals of Wireless Communication (2005)

https://web.stanford.edu/~dntse/wireless_book.html
101•teleforce•4h ago•3 comments

How to build a circular LCD clock

https://blinry.org/lcd-clock/
44•birdculture•2d ago•10 comments

Building and shipping Mac and iOS apps without opening Xcode

https://scottwillsey.com/building-and-shipping-mac-and-ios-apps-without-ever-opening-xcode/
407•speckx•12h ago•181 comments

The Economics of Recursive Self-Improvement [pdf]

https://elasticity.institute/rsi-paper.pdf
66•apsec112•4h ago•12 comments

Apple's new SpeechAnalyzer API, benchmarked against Whisper and its predecessor

https://get-inscribe.com/blog/apple-speech-api-benchmark.html
514•get-inscribe•14h ago•202 comments

Is x86 ready to ACE it?

https://chipsandcheese.com/p/is-x86-ready-to-ace-it
51•mfiguiere•4h ago•6 comments

Satellite Tracker – Live Map of Starlink and 30k Satellites

https://satellitemap.space/
58•rolph•4h ago•17 comments

An Englishwoman who sketched India before photography took hold

https://www.bbc.com/news/articles/cm2drrv6q54o
112•1659447091•7h ago•32 comments

Our Amish Language

https://www.thedial.world/articles/news/amish-pennsylvania-dutch
30•NaOH•3h ago•6 comments

MorphoHDL: A minimalistic language for growing circuits

https://paradigms-of-intelligence.github.io/morpho/
50•jacktang•5h ago•4 comments

World-First 'Super Alloy' Could Transform the Way Metals Are Made

https://www.sciencealert.com/world-first-super-alloy-could-transform-the-way-metals-are-made
44•tejohnso•4d ago•20 comments

The infinite scroll may become endangered if controversial Calif. law passes

https://www.sfgate.com/politics/article/meta-social-media-teenagers-22337724.php
138•Stratoscope•11h ago•237 comments

Writing a bindless GPU abstraction layer

https://www.kevin-gibson.com/blog/writing-a-bindless-gpu-abstraction-layer/
14•surprisetalk•4d ago•0 comments

Building Food Metadata with LLM Juries

https://careersatdoordash.com/blog/building-food-metadata-with-llm-juries-context-optimization-mu...
27•tie-in•4h ago•7 comments

Two Case Studies of NaN

https://sebsite.pw/w/20260709-nan.html
3•ryantsuji•4d ago•0 comments

Linux on the Sega 32X. Who needs hardware synchronization primitives anyway?

https://cakehonolulu.github.io/linux-on-32x/
118•cakehonolulu•12h ago•23 comments

Show HN: Hackney – Compare Uber, Lyft, Waymo, and Robotaxi Prices

https://hackney.app/
42•griffinli•15h ago•31 comments

Show HN: Sx 2.0 – Share AI skills with your team through a Dropbox folder

https://sleuth-io.github.io/sx/2026/07/10/your-dropbox-is-now-a-skill-server.html
32•detkin•7h ago•27 comments

What will be left for us to work on?

https://www.normaltech.ai/p/what-will-be-left-for-us-to-work
91•randomwalker•4h ago•94 comments

Show HN: Jacquard, a programming language for AI-written, human-reviewed code

https://github.com/jbwinters/jacquard-lang
78•jbwinters•14h ago•43 comments

SalesPatriot (YC W25) Is Hiring Full Stack Engineers (SF)

https://jobs.ashbyhq.com/SalesPatriot/df223727-5781-433e-bc75-2aa5bf8dc8d7
1•maciejSz•9h ago

Show HN: I implemented a neural network in SQL

https://github.com/xqlsystems/xarray-sql/blob/claude/xarray-sql-mnist-demo/benchmarks/nn.py
78•alxmrs•10h ago•17 comments

Ancient Roman Board Game

https://ludus-coriovalli.web.app/
114•nobody9999•4d ago•44 comments

Show HN: YouTube Guitar Tab Parser

https://github.com/marcelpanse/youtube-guitar-tab-parser
95•neogenix•10h ago•58 comments

TFTP Honey Pot Results

https://bruceediger.com/posts/tftp-honeypot-results/
72•speckx•11h ago•33 comments

A Study of Microsoft's Early 2026 Rollout of Claude Code and GitHub Copilot CLI

https://arxiv.org/abs/2607.01418
52•softwaredoug•8h ago•28 comments
Open in hackernews

Computational Complexity of Air Travel Planning [pdf] (2003)

http://www.demarcken.org/carl/papers/ITA-software-travel-complexity/ITA-software-travel-complexity.pdf
76•rochoa•1y ago

Comments

buildsjets•1y ago
This is well over 20 years old and is based on pre 9/11 flight data. I would suspect that a lot has changed since then. So proceed with no caution at all.
gwern•1y ago
Since these sorts of things usually only get more and more complex over time, I would guess that it's all still true, but much more so.
throw0101b•1y ago
(2003)
throw0101b•1y ago
The PDF was produced by ITA, which famously used Common Lisp:

* https://en.wikipedia.org/wiki/ITA_Software

From 2001, a message from the same author as the linked paper:

> (Here's an email Carl de Marcken of ITA Software sent to a friend, describing their experiences using Lisp in one of the software industry's most demanding applications.)

* https://www.paulgraham.com/carl.html

Qem•1y ago
Are there any public, open, comprehensive datasets on flights?
dieselerator•1y ago
> Are there any public, open, comprehensive datasets on flights?

Airlines and commercial aviation operators schedule their own flights. That is a dynamic schedulle. So, perhaps there is no "comprehensive data set".

However, FlightAware makes publicly available scheduled and completed flight data over many routes in the USA. You can search by route and get a list of flights.

Flight information includes filed departure time, route of flight, and speed. For completed flights actual time, altitude, and route is shown. For example, a search on the route Dallas/Fort Worth to Austin lists 45 flights.

I hope that helps.

foundart•1y ago
A very interesting dive into, as the title says, the computational complexity of air travel planning. Graph algorithms with lots of complexity added due to the wide variety of fare conditions that airlines have dreamt up over the years.

The article may be from 2003 but I would call it an evergreen. While I imagine some of the details have changed since then, I suspect that the complexity has only grown since then.

foundart•1y ago
It makes me wonder: Would an airline that drastically simplified its fares be more likely to appear in flight search results?

Simplifying the fares would make it less computationally expensive and, in theory, could take fewer steps to answer a flight planning query.

Imagine a flight search planner that, say, fanned out N airline-specific workers when handling a planning query and then displayed to the user whatever results it got back within some time limit. If FooAir had simple fares, the FooAir searcher would likely run faster than searchers for other airlines. Thus it would be more likely to return results for more queries, assuming the deadline is fairly tight because of usability metrics. (People don't tend to stick around waiting for slow results.)

sjburt•1y ago
At least a few years ago (~2014), the fare search was actually nearly instant, but all major airfare search sites added a delay because customers had the impression they were getting a better deal when they had to wait. It seems like the delay has been dialed back lately.
teleforce•1y ago
This is a very popular article that get submitted every now and then (nearly every year) [1].

I think this kind of problem would be a very nice for logic, optimization and constraint programming that probably can be solved with modern tools like Google OR-Tool or Monash University MiniZinc [1],[2],[3].

[1] Past:

https://hn.algolia.com/?query=Computational%20Complexity%20o...

[2] Logic, Optimization, and Constraint Programming: A Fruitful Collaboration - John Hooker - CMU (2023) [video]:

https://www.youtube.com/live/TknN8fCQvRk

[3] Google OR-Tools:

https://developers.google.com/optimization

[4] MiniZinc:

https://www.minizinc.org/