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Ask HN: Who is hiring? (February 2026)

54•whoishiring•56m ago•70 comments

Nano-vLLM: How a vLLM-style inference engine works

https://neutree.ai/blog/nano-vllm-part-1
125•yz-yu•4h ago•16 comments

Geologists may have solved mystery of Green River's 'uphill' route

https://phys.org/news/2026-01-geologists-mystery-green-river-uphill.html
62•defrost•3h ago•10 comments

4x faster network file sync with rclone (vs rsync) (2025)

https://www.jeffgeerling.com/blog/2025/4x-faster-network-file-sync-rclone-vs-rsync/
100•indigodaddy•3d ago•36 comments

My five stages of AI grief

https://dev-tester.com/my-five-stages-of-ai-grief/
14•mijustin•37m ago•2 comments

My fast zero-allocation webserver using OxCaml

https://anil.recoil.org/notes/oxcaml-httpz
88•noelwelsh•6h ago•21 comments

Defeating a 40-year-old copy protection dongle

https://dmitrybrant.com/2026/02/01/defeating-a-40-year-old-copy-protection-dongle
748•zdw•19h ago•235 comments

Kernighan on Programming

35•chrisjj•1h ago•4 comments

Hypergrowth isn’t always easy

https://tailscale.com/blog/hypergrowth-isnt-always-easy
69•usrme•2d ago•33 comments

Termux

https://github.com/termux/termux-app
254•tosh•5h ago•124 comments

Claude Code is suddenly everywhere inside Microsoft

https://www.theverge.com/tech/865689/microsoft-claude-code-anthropic-partnership-notepad
170•Anon84•4h ago•224 comments

IsoCoaster – Theme Park Builder

https://iso-coaster.com/
23•duck•2d ago•3 comments

Show HN: Stelvio – Ship Python to AWS

https://stelvio.dev/
10•michal-stlv•1h ago•7 comments

Waymo Seeking About $16B Near $110B Valuation

https://www.bloomberg.com/news/articles/2026-01-31/waymo-seeking-about-16-billion-near-110-billio...
95•JumpCrisscross•1h ago•97 comments

My iPhone 16 Pro Max produces garbage output when running MLX LLMs

https://journal.rafaelcosta.me/my-thousand-dollar-iphone-cant-do-math/
387•rafaelcosta•20h ago•179 comments

Apple's MacBook Pro DFU port documentation is wrong

https://lapcatsoftware.com/articles/2026/2/1.html
165•zdw•13h ago•60 comments

Library of Juggling

https://libraryofjuggling.com/
68•tontony•8h ago•11 comments

Show HN: Wikipedia as a doomscrollable social media feed

https://xikipedia.org
348•rebane2001•16h ago•123 comments

Show HN: Apate API mocking/prototyping server and Rust unit test library

https://github.com/rustrum/apate
24•rumatoest•1d ago•9 comments

Show HN: NanoClaw – “Clawdbot” in 500 lines of TS with Apple container isolation

https://github.com/gavrielc/nanoclaw
461•jimminyx•18h ago•177 comments

Best Gas Masks

https://www.theverge.com/policy/868571/best-gas-masks
380•cdrnsf•3d ago•93 comments

Ian's Shoelace Site

https://www.fieggen.com/shoelace/
325•righthand•22h ago•57 comments

Ratchets in software development (2021)

https://qntm.org/ratchet
88•nvader•3d ago•33 comments

Valanza – my Unix way for weight tracking and anlysis

https://github.com/paolomarrone/valanza
5•lallero317•4d ago•1 comments

We asked 15,000 European devs about jobs, salaries, and AI [pdf]

https://static.germantechjobs.de/market-reports/European-Transparent-IT-Job-Market-Report-2025.pdf
22•birdculture•1h ago•9 comments

Swift in the Browser with ElementaryUI (Swift FOSDEM 2026 Talk) [video]

https://www.youtube.com/watch?v=OmQ881sOTIc
10•CharlesW•1h ago•2 comments

Adventure Game Studio: OSS software for creating adventure games

https://www.adventuregamestudio.co.uk/
373•doener•1d ago•78 comments

Apple I Advertisement (1976)

http://apple1.chez.com/Apple1project/Gallery/Gallery.htm
263•janandonly•23h ago•141 comments

Board Games in Ancient Fiction: Egypt, Iran, Greece

https://reference-global.com/article/10.2478/bgs-2022-0016
39•bryanrasmussen•3d ago•11 comments

Contracts in Nix

https://sraka.xyz/posts/contracts.html
89•todsacerdoti•1d ago•16 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•9mo ago

Comments

buildsjets•9mo 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•9mo 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•9mo ago
(2003)
throw0101b•9mo 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•9mo ago
Are there any public, open, comprehensive datasets on flights?
dieselerator•9mo 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•9mo 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•9mo 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•9mo 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•9mo 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/