frontpage.
newsnewestaskshowjobs

Made with ♥ by @iamnishanth

Open Source @Github

fp.

Show HN: Caslib – Computer Algebra Calculator (Hack Club Project)

https://github.com/breynard0/caslib
1•breynard•1m ago

At Age 25, Wikipedia Refuses to Evolve

https://spectrum.ieee.org/wikipedia-at-25
1•asdefghyk•2m ago•1 comments

Show HN: ReviewReact – AI review responses inside Google Maps ($19/mo)

https://reviewreact.com
1•sara_builds•2m ago•0 comments

Why AlphaTensor Failed at 3x3 Matrix Multiplication: The Anchor Barrier

https://zenodo.org/records/18514533
1•DarenWatson•3m ago•0 comments

Ask HN: How much of your token use is fixing the bugs Claude Code causes?

1•laurex•7m ago•0 comments

Show HN: Agents – Sync MCP Configs Across Claude, Cursor, Codex Automatically

https://github.com/amtiYo/agents
1•amtiyo•8m ago•0 comments

Hello

1•otrebladih•9m ago•0 comments

FSD helped save my father's life during a heart attack

https://twitter.com/JJackBrandt/status/2019852423980875794
2•blacktulip•12m ago•0 comments

Show HN: Writtte – Draft and publish articles without reformatting, anywhere

https://writtte.xyz
1•lasgawe•14m ago•0 comments

Portuguese icon (FROM A CAN) makes a simple meal (Canned Fish Files) [video]

https://www.youtube.com/watch?v=e9FUdOfp8ME
1•zeristor•15m ago•0 comments

Brookhaven Lab's RHIC Concludes 25-Year Run with Final Collisions

https://www.hpcwire.com/off-the-wire/brookhaven-labs-rhic-concludes-25-year-run-with-final-collis...
2•gnufx•18m ago•0 comments

Transcribe your aunts post cards with Gemini 3 Pro

https://leserli.ch/ocr/
1•nielstron•21m ago•0 comments

.72% Variance Lance

1•mav5431•23m ago•0 comments

ReKindle – web-based operating system designed specifically for E-ink devices

https://rekindle.ink
1•JSLegendDev•24m ago•0 comments

Encrypt It

https://encryptitalready.org/
1•u1hcw9nx•24m ago•1 comments

NextMatch – 5-minute video speed dating to reduce ghosting

https://nextmatchdating.netlify.app/
1•Halinani8•25m ago•1 comments

Personalizing esketamine treatment in TRD and TRBD

https://www.frontiersin.org/articles/10.3389/fpsyt.2025.1736114
1•PaulHoule•26m ago•0 comments

SpaceKit.xyz – a browser‑native VM for decentralized compute

https://spacekit.xyz
1•astorrivera•27m ago•0 comments

NotebookLM: The AI that only learns from you

https://byandrev.dev/en/blog/what-is-notebooklm
2•byandrev•27m ago•1 comments

Show HN: An open-source starter kit for developing with Postgres and ClickHouse

https://github.com/ClickHouse/postgres-clickhouse-stack
1•saisrirampur•28m ago•0 comments

Game Boy Advance d-pad capacitor measurements

https://gekkio.fi/blog/2026/game-boy-advance-d-pad-capacitor-measurements/
1•todsacerdoti•28m ago•0 comments

South Korean crypto firm accidentally sends $44B in bitcoins to users

https://www.reuters.com/world/asia-pacific/crypto-firm-accidentally-sends-44-billion-bitcoins-use...
2•layer8•29m ago•0 comments

Apache Poison Fountain

https://gist.github.com/jwakely/a511a5cab5eb36d088ecd1659fcee1d5
1•atomic128•31m ago•2 comments

Web.whatsapp.com appears to be having issues syncing and sending messages

http://web.whatsapp.com
1•sabujp•31m ago•2 comments

Google in Your Terminal

https://gogcli.sh/
1•johlo•33m ago•0 comments

Shannon: Claude Code for Pen Testing: #1 on Github today

https://github.com/KeygraphHQ/shannon
1•hendler•33m ago•0 comments

Anthropic: Latest Claude model finds more than 500 vulnerabilities

https://www.scworld.com/news/anthropic-latest-claude-model-finds-more-than-500-vulnerabilities
2•Bender•38m ago•0 comments

Brooklyn cemetery plans human composting option, stirring interest and debate

https://www.cbsnews.com/newyork/news/brooklyn-green-wood-cemetery-human-composting/
1•geox•38m ago•0 comments

Why the 'Strivers' Are Right

https://greyenlightenment.com/2026/02/03/the-strivers-were-right-all-along/
1•paulpauper•39m ago•0 comments

Brain Dumps as a Literary Form

https://davegriffith.substack.com/p/brain-dumps-as-a-literary-form
1•gmays•39m ago•0 comments
Open in hackernews

Ask HN: Is there a general, multi-PL programming task dataset?

1•quartztz•9mo ago
Hello!

Being a student interested in PL design, I have had this idea floating around for a while: the gist is finding out what programming languages LLMs might be the most proficient in, to study their design choices and syntactic features with the goal of designing the perfect language for LLMs. This is, of course, gimmicky, but I entertained the idea for a while as a fun afterschool project.

The challenge is: what would be the best way to evaluate programming performance _in specific languages_? There are two main hypotheses here:

1. There are intrinsic syntactic/structural features that the transformer architecture is uniquely able to parse/reproduce/understand best, leading to higher quality code generated. For example: Lisp dialects make parsing code structure and blocks very easy, so one could assume an LLM can "understand their code better" 2. There is so much Python/JS out there that the question isn't even worth asking, and the performance in those will beat whatever other language you throw at it. This is probably not as much of a point thanks to newer transformer architectures but the question is still up.

I suspect the answer can be made somewhat interesting by considering performance relative to language popularity, but the ground question is: is there a general dataset containing different programming challenges, of varying difficulty, in multiple languages, with standard solutions? I couldn't find anything when I looked around, but I might have missed something obvious. It wouldn't be impossible to build a simple website to crowdsource, but I'm thinking that if I missed something obvious I'd rather find out early than late. Also, if you have any input on the project itself, I'd love to hear your ideas!

Comments

Someone•9mo ago
> For example: Lisp dialects make parsing code structure and blocks very easy, so one could assume an LLM can "understand their code better"

I would expect the reverse: lisp has no syntactic sugar, making it harder for a LLM to glue code fragments together in a way that produces valid lisp code. Even guaranteeing that parentheses are correctly nested already can be a challenge.

As to a set of programs: they aren’t exactly what you’re looking for, but I would consider https://projecteuler.net (does not contain solutions, but searching for project Euler solutions” finds some) or https://benchmarksgame-team.pages.debian.net/benchmarksgame.

sargstuff•9mo ago
Very open ended questions. Geeks for Geeks loosely organized around computer science topics of study : https://www.geeksforgeeks.org/

nit-pick details:

Ignoring hardware differences, "performance" comparisons can be based on differences between algorithm(s) used vs. how algorithm is implimented. For a given language, "algorithm implimentation performance" can be defined as the trade-offs on how a a given algorithm is implimented in a language (compared to other programming languages, but also easy use/flexibility based on 'language generation level -> https://www.geeksforgeeks.org/generation-programming-languag... )

----------------------

1) General computation language specialty 'modules' not withstanding; "languages" are built/optimised around core algorithmic concepts / anticipated area/concentration of targeted professional environment. aka opencl (gpu), R (statistics), Lisp (engineering design), C (OS level), sql (data selection), jasper reports, cobol (business), etc. Languages tend to be 'popular' because of the ecosystem provided around/for a given language.

snarky side note -> can always write a more standard language that compiles to an esolang & provide appropriate emacs/vim/sed/spacemacs ide support.: https://esolangs.org/wiki/Main_Page

  LLM's are very useful at curating information and recognizing/summarizing "statisical" relevance. aka apl is great for engineering mind set, not so good for business use cases aka cobal.  LLM might recognize a language for a given user that combines commonly used 'apl' aspecs of user and commonly used 'cobal' aspecs of user and recommend a language(s) with suitable commonalities for given user. 


2) Search engine topic 'coding challenges' 'algorithmic coding challenges' brings up many types of answers/sites for honing one's coding skills (various languages, beginner to expert, etc). Coding 'algorithms' vs. coming up with algorithm(s) to code is sort of a side aspect. Also differences in 'competition' challenges vs. 'technical challenges' (aka 512 c64 vs. 1 raspberry pi) ; vs. "computer science coding challenges" vs. 'computational genomic challenges'

     ?? how easy / hard based on 'profession' aka artist vs. software designer 20 years experience programming in scheme; environment -- NASA vs. google vs. insurance company.

   ?? from scratch : https://synoptek.com/insights/it-blogs/10-challenges-every-software-product-developer-faces/

   ?? based on industry standards ?? ; just trying to keep skills honed ??