frontpage.
newsnewestaskshowjobs

Made with ♥ by @iamnishanth

Open Source @Github

fp.

Claude Opus 4.7

https://www.anthropic.com/news/claude-opus-4-7
1480•meetpateltech•11h ago•1068 comments

Codex for almost everything

https://openai.com/index/codex-for-almost-everything/
676•mikeevans•8h ago•365 comments

CadQuery is an open-source Python library for building 3D CAD models

https://cadquery.github.io/
31•gregsadetsky•2d ago•0 comments

Guy builds AI driven hardware hacker arm from duct tape, old cam and CNC machine

https://github.com/gainsec/autoprober
94•scaredpelican•4h ago•15 comments

Everything we like is a psyop

https://techcrunch.com/2026/04/16/everything-we-like-is-a-psyop/
102•evo_9•2h ago•54 comments

A Better R Programming Experience Thanks to Tree-sitter

https://ropensci.org/blog/2026/04/02/tree-sitter-overview/
81•sebg•4h ago•6 comments

Official Clojure Documentary page with Video, Shownotes, and Links

https://clojure.org/about/documentary
106•adityaathalye•6h ago•26 comments

Android CLI: Build Android apps 3x faster using any agent

https://android-developers.googleblog.com/2026/04/build-android-apps-3x-faster-using-any-agent.html
124•ingve•7h ago•30 comments

Show HN: Spice simulation → oscilloscope → verification with Claude Code

https://lucasgerads.com/blog/lecroy-mcp-spice-demo/
12•_fizz_buzz_•1h ago•2 comments

New unsealed records reveal Amazon's price-fixing tactics, California AG claims

https://www.theguardian.com/us-news/ng-interactive/2026/apr/16/amazon-price-fixing-california-law...
110•kmfrk•3h ago•19 comments

Qwen3.6-35B-A3B: Agentic coding power, now open to all

https://qwen.ai/blog?id=qwen3.6-35b-a3b
912•cmitsakis•12h ago•418 comments

Cloudflare's AI Platform: an inference layer designed for agents

https://blog.cloudflare.com/ai-platform/
242•nikitoci•12h ago•58 comments

The future of everything is lies, I guess: Where do we go from here?

https://aphyr.com/posts/420-the-future-of-everything-is-lies-i-guess-where-do-we-go-from-here
510•aphyr•12h ago•559 comments

Playdate’s handheld changed how Duke University teaches game design

https://news.play.date/news/duke-playdate-education/
67•Ivoah•6h ago•28 comments

Qwen3.6-35B-A3B on my laptop drew me a better pelican than Claude Opus 4.7

https://simonwillison.net/2026/Apr/16/qwen-beats-opus/
308•simonw•8h ago•70 comments

Join Akkari's Founding Team (YC P26) as an Engineer

1•michael_moore•4h ago

GPT‑Rosalind for life sciences research

https://openai.com/index/introducing-gpt-rosalind/
59•babelfish•6h ago•14 comments

Launch HN: Kampala (YC W26) – Reverse-Engineer Apps into APIs

https://www.zatanna.ai/kampala
74•alexblackwell_•10h ago•63 comments

Show HN: Marky – A lightweight Markdown viewer for agentic coding

https://github.com/GRVYDEV/marky
37•GRVYDEV•9h ago•15 comments

288,493 Requests – How I Spotted an XML-RPC Brute Force from a Weird Cache Ratio

https://marcindudek.dev/blog/xmlrpc-brute-force-cache-rate/
3•taubek•3d ago•0 comments

"Wretches, Speak Evil of Me": Goethe and Schiller's Xenions (1896 Edition)

https://publicdomainreview.org/collection/xenions/
8•benbreen•2d ago•1 comments

Artifacts: Versioned storage that speaks Git

https://blog.cloudflare.com/artifacts-git-for-agents-beta/
158•jgrahamc•12h ago•17 comments

Hospital at centre of child HIV outbreak caught reusing syringes in Pakistan

https://www.bbc.com/news/articles/clyrd818gd2o
117•flykespice•2h ago•71 comments

George Orwell Predicted the Rise of "AI Slop" in Nineteen Eighty-Four

https://www.openculture.com/2026/04/how-george-orwell-predicted-the-rise-of-ai-slop.html
46•doener•2h ago•32 comments

Show HN: CodeBurn – Analyze Claude Code token usage by task

https://github.com/AgentSeal/codeburn
76•agentseal•3d ago•17 comments

The "Passive Income" trap ate a generation of entrepreneurs

https://www.joanwestenberg.com/the-passive-income-trap-ate-a-generation-of-entrepreneurs/
148•devonnull•5h ago•108 comments

IBM AP-101 general-purpose computer [pdf]

https://gandalfddi.z19.web.core.windows.net/Shuttle/IBM%20AP-101S%20General%20Purpose%20Computer%...
19•__patchbit__•3d ago•4 comments

Show HN: MacMind – A transformer neural network in HyperCard on a 1989 Macintosh

https://github.com/SeanFDZ/macmind
120•hammer32•12h ago•34 comments

Circuit Transformations, Loop Fusion, and Inductive Proof

https://natetyoung.github.io/carry_save_fusion/
25•matt_d•3d ago•1 comments

Codex Hacked a Samsung TV

https://blog.calif.io/p/codex-hacked-a-samsung-tv
207•campuscodi•15h ago•119 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•12mo ago

Comments

buildsjets•12mo 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•12mo 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•12mo ago
(2003)
throw0101b•12mo 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•12mo ago
Are there any public, open, comprehensive datasets on flights?
dieselerator•12mo 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•12mo 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•12mo 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•12mo 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•12mo 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/