frontpage.
newsnewestaskshowjobs

Made with ♥ by @iamnishanth

Open Source @Github

fp.

The AI CEO Experiment

https://yukicapital.com/blog/the-ai-ceo-experiment/
2•romainsimon•1m ago•0 comments

Speed up responses with fast mode

https://code.claude.com/docs/en/fast-mode
2•surprisetalk•4m ago•0 comments

MS-DOS game copy protection and cracks

https://www.dosdays.co.uk/topics/game_cracks.php
2•TheCraiggers•5m ago•0 comments

Updates on GNU/Hurd progress [video]

https://fosdem.org/2026/schedule/event/7FZXHF-updates_on_gnuhurd_progress_rump_drivers_64bit_smp_...
2•birdculture•6m ago•0 comments

Epstein took a photo of his 2015 dinner with Zuckerberg and Musk

https://xcancel.com/search?f=tweets&q=davenewworld_2%2Fstatus%2F2020128223850316274
5•doener•7m ago•1 comments

MyFlames: Visualize MySQL query execution plans as interactive FlameGraphs

https://github.com/vgrippa/myflames
1•tanelpoder•8m ago•0 comments

Show HN: LLM of Babel

https://clairefro.github.io/llm-of-babel/
1•marjipan200•8m ago•0 comments

A modern iperf3 alternative with a live TUI, multi-client server, QUIC support

https://github.com/lance0/xfr
3•tanelpoder•9m ago•0 comments

Famfamfam Silk icons – also with CSS spritesheet

https://github.com/legacy-icons/famfamfam-silk
1•thunderbong•10m ago•0 comments

Apple is the only Big Tech company whose capex declined last quarter

https://sherwood.news/tech/apple-is-the-only-big-tech-company-whose-capex-declined-last-quarter/
2•elsewhen•13m ago•0 comments

Reverse-Engineering Raiders of the Lost Ark for the Atari 2600

https://github.com/joshuanwalker/Raiders2600
2•todsacerdoti•14m ago•0 comments

Show HN: Deterministic NDJSON audit logs – v1.2 update (structural gaps)

https://github.com/yupme-bot/kernel-ndjson-proofs
1•Slaine•18m ago•0 comments

The Greater Copenhagen Region could be your friend's next career move

https://www.greatercphregion.com/friend-recruiter-program
2•mooreds•18m ago•0 comments

Do Not Confirm – Fiction by OpenClaw

https://thedailymolt.substack.com/p/do-not-confirm
1•jamesjyu•19m ago•0 comments

The Analytical Profile of Peas

https://www.fossanalytics.com/en/news-articles/more-industries/the-analytical-profile-of-peas
1•mooreds•19m ago•0 comments

Hallucinations in GPT5 – Can models say "I don't know" (June 2025)

https://jobswithgpt.com/blog/llm-eval-hallucinations-t20-cricket/
1•sp1982•19m ago•0 comments

What AI is good for, according to developers

https://github.blog/ai-and-ml/generative-ai/what-ai-is-actually-good-for-according-to-developers/
1•mooreds•19m ago•0 comments

OpenAI might pivot to the "most addictive digital friend" or face extinction

https://twitter.com/lebed2045/status/2020184853271167186
1•lebed2045•21m ago•2 comments

Show HN: Know how your SaaS is doing in 30 seconds

https://anypanel.io
1•dasfelix•21m ago•0 comments

ClawdBot Ordered Me Lunch

https://nickalexander.org/drafts/auto-sandwich.html
3•nick007•22m ago•0 comments

What the News media thinks about your Indian stock investments

https://stocktrends.numerical.works/
1•mindaslab•23m ago•0 comments

Running Lua on a tiny console from 2001

https://ivie.codes/page/pokemon-mini-lua
1•Charmunk•23m ago•0 comments

Google and Microsoft Paying Creators $500K+ to Promote AI Tools

https://www.cnbc.com/2026/02/06/google-microsoft-pay-creators-500000-and-more-to-promote-ai.html
3•belter•26m ago•0 comments

New filtration technology could be game-changer in removal of PFAS

https://www.theguardian.com/environment/2026/jan/23/pfas-forever-chemicals-filtration
1•PaulHoule•27m ago•0 comments

Show HN: I saw this cool navigation reveal, so I made a simple HTML+CSS version

https://github.com/Momciloo/fun-with-clip-path
2•momciloo•27m ago•0 comments

Kinda Surprised by Seadance2's Moderation

https://seedanceai.me/
1•ri-vai•27m ago•2 comments

I Write Games in C (yes, C)

https://jonathanwhiting.com/writing/blog/games_in_c/
2•valyala•27m ago•1 comments

Django scales. Stop blaming the framework (part 1 of 3)

https://medium.com/@tk512/django-scales-stop-blaming-the-framework-part-1-of-3-a2b5b0ff811f
2•sgt•28m ago•0 comments

Malwarebytes Is Now in ChatGPT

https://www.malwarebytes.com/blog/product/2026/02/scam-checking-just-got-easier-malwarebytes-is-n...
1•m-hodges•28m ago•0 comments

Thoughts on the job market in the age of LLMs

https://www.interconnects.ai/p/thoughts-on-the-hiring-market-in
1•gmays•28m ago•0 comments
Open in hackernews

Show HN: Gene – a Lisp-like language built around a generic "Gene" data type

https://github.com/gene-lang/gene
36•gcao•1mo ago
Hi HN — I’ve been working on Gene, a general-purpose, homoiconic language with a Lisp-like surface syntax, but with a core data model that’s intentionally not just “lists all the way down”.

What’s unique: the Gene data type

Gene’s central idea is a single unified structure that always carries (1) a type, (2) key/value properties, and (3) positional children:

(type ^prop1 value1 ^prop2 value2 child1 child2 ...)

The key point is that the type, each property name, each property value, and each child can themselves be any Gene data. Everything composes uniformly. In practice this is powerful and liberating: you can build rich, self-describing structures without escaping to a different “meta” representation, and the AST and runtime values share the same shape.

This isn’t JSON, and it isn’t plain S-expressions: type + properties + children are first-class in one representation, so you can attach structured metadata without wrapper nodes, and build DSLs / transforms without inventing a separate annotation system.

Dynamic + general-purpose (FP and OOP)

Gene aims to be usable for “regular programming,” not only DSLs:

* FP-style basics: fn, expression-oriented code, and an AST-friendly representation

* OOP support: class, new, nested classes, namespaces (still expanding coverage)

* Runtime/tooling: bytecode compiler + stack VM in Nim, plus CLI tooling (run, eval, repl, parse, compile)

Macro-like capability: unevaluated args + caller-context evaluation

Gene supports unevaluated arguments and caller-context evaluation (macro-like behavior). You can pass expressions through without evaluating them, and then explicitly evaluate them later in the caller’s context when needed (e.g., via primitives such as caller_eval / fn! for macro-style forms). This is intended to make it easier to write DSL-ish control forms without hardcoding evaluation rules into the core language.

Optional local LLM backend via llama.cpp

I also added an optional local LLM backend: Gene has a genex/llm namespace that can call local GGUF models through llama.cpp via FFI (primarily because I wanted local inference without external services).

Repo: https://github.com/gene-lang/gene

I’d love feedback on:

* whether the “type/props/children” core structure feels compelling vs plain s-exprs,

* the macro/unevaluated-args ergonomics (does it feel coherent?),

* and what would make the project most useful next (stdlib, interop, docs, performance, etc.).