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1•vasanthv•1m ago•0 comments

Show HN: LoKey Typer – A calm typing practice app with ambient soundscapes

https://mcp-tool-shop-org.github.io/LoKey-Typer/
1•mikeyfrilot•4m ago•0 comments

Long-Sought Proof Tames Some of Math's Unruliest Equations

https://www.quantamagazine.org/long-sought-proof-tames-some-of-maths-unruliest-equations-20260206/
1•asplake•5m ago•0 comments

Hacking the last Z80 computer – FOSDEM 2026 [video]

https://fosdem.org/2026/schedule/event/FEHLHY-hacking_the_last_z80_computer_ever_made/
1•michalpleban•5m ago•0 comments

Browser-use for Node.js v0.2.0: TS AI browser automation parity with PY v0.5.11

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Michael Pollan Says Humanity Is About to Undergo a Revolutionary Change

https://www.nytimes.com/2026/02/07/magazine/michael-pollan-interview.html
1•mitchbob•6m ago•1 comments

Software Engineering Is Back

https://blog.alaindichiappari.dev/p/software-engineering-is-back
1•alainrk•7m ago•0 comments

Storyship: Turn Screen Recordings into Professional Demos

https://storyship.app/
1•JohnsonZou6523•8m ago•0 comments

Reputation Scores for GitHub Accounts

https://shkspr.mobi/blog/2026/02/reputation-scores-for-github-accounts/
1•edent•11m ago•0 comments

A BSOD for All Seasons – Send Bad News via a Kernel Panic

https://bsod-fas.pages.dev/
1•keepamovin•14m ago•0 comments

Show HN: I got tired of copy-pasting between Claude windows, so I built Orcha

https://orcha.nl
1•buildingwdavid•14m ago•0 comments

Omarchy First Impressions

https://brianlovin.com/writing/omarchy-first-impressions-CEEstJk
2•tosh•20m ago•1 comments

Reinforcement Learning from Human Feedback

https://arxiv.org/abs/2504.12501
2•onurkanbkrc•21m ago•0 comments

Show HN: Versor – The "Unbending" Paradigm for Geometric Deep Learning

https://github.com/Concode0/Versor
1•concode0•21m ago•1 comments

Show HN: HypothesisHub – An open API where AI agents collaborate on medical res

https://medresearch-ai.org/hypotheses-hub/
1•panossk•24m ago•0 comments

Big Tech vs. OpenClaw

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1•headalgorithm•27m ago•0 comments

Anofox Forecast

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1•marklit•27m ago•0 comments

Ask HN: How do you figure out where data lives across 100 microservices?

1•doodledood•27m ago•0 comments

Motus: A Unified Latent Action World Model

https://arxiv.org/abs/2512.13030
1•mnming•27m ago•0 comments

Rotten Tomatoes Desperately Claims 'Impossible' Rating for 'Melania' Is Real

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3•juujian•29m ago•2 comments

The protein denitrosylase SCoR2 regulates lipogenesis and fat storage [pdf]

https://www.science.org/doi/10.1126/scisignal.adv0660
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Los Alamos Primer

https://blog.szczepan.org/blog/los-alamos-primer/
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NewASM Virtual Machine

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2•DEntisT_•35m ago•0 comments

Terminal-Bench 2.0 Leaderboard

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2•tosh•36m ago•0 comments

I vibe coded a BBS bank with a real working ledger

https://mini-ledger.exe.xyz/
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The Path to Mojo 1.0

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1•tosh•39m ago•0 comments

Show HN: I'm 75, building an OSS Virtual Protest Protocol for digital activism

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5•sakanakana00•42m ago•1 comments

Show HN: I built Divvy to split restaurant bills from a photo

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3•pieterdy•44m ago•0 comments

Hot Reloading in Rust? Subsecond and Dioxus to the Rescue

https://codethoughts.io/posts/2026-02-07-rust-hot-reloading/
4•Tehnix•45m ago•1 comments

Skim – vibe review your PRs

https://github.com/Haizzz/skim
2•haizzz•47m ago•1 comments
Open in hackernews

Show HN: Wall Go – browser remake of a Devil's Plan 2 mini-game

https://schaoss.github.io/wall-go/
33•sychu•8mo ago
Source code: https://github.com/schaoss/wall-go

I binge-watched Netflix’s “Devil’s Plan 2” and got hooked on the “Wall Go” round. A few nights of vibe-coding later, here’s a fully playable browser version:

• 7×7 board, staggered placement (1-2-2-1), 0-to-2-step moves, mandatory wall each turn. • Light / dark mode, mobile-friendly hit boxes • Simple AI (ΔReach + liberty heuristic) – beats random, not a grandmaster yet • Tech stack: Bun + Vite + React + Tailwind v4 + Zustand, deployed on GitHub Pages

Looking for feedback: * is the AI too weak / unfair? * any UI quirks on touch devices? * rule misinterpretations I missed?

Bug reports, feature requests, or PRs very welcome. Hope you enjoy boxing your friends into tiny corners as much as I did while coding this :)

Comments

jfindley•8mo ago
I don't seem to be able to select "hard" AI - is this just not implemented yet? It'd be nice to have a stronger AI, but I do realise that this is a lot easier said than done.
DrJid•8mo ago
Yeah. Medium seems too easy. But I also can’t select hard mode.
spicybright•8mo ago
I've never seen the show so it took a bit to understand, but it's a pretty clever game!

It's kind of like Go, but you only have 4 pieces that you can move around the board to build walls between cells to mark territory.

Good implementation, and props to the show creators.

zdw•8mo ago
Having watched both seasons, if you like board/card/social games I'd recommend it. Although the last game of the second season has significant "Why would you ever do that?" yelling at the screen due to one player.

Sometimes the explanations of instructions go very quickly and aren't totally explained from original Korean language, so I would recommend re-watching them if you want to follow along in detail.

snarf21•8mo ago
Maybe I am missing something but why are the walls colored by each player? At first I thought that I could go through my walls but not my opponents.
zdw•8mo ago
The color doesn't really mean anything other than to indicate which player created them.

Would be interesting if this had a 3 player mode, like in the show.

joeyrideout•8mo ago
This is great! I love The Devil's Plan, I wish I could play all of the games. Some sort of in-person escape room-style experience re-enacting the games would be the best, but I have also thought about making multiplayer video game versions. Wall Go is a perfect candidate! Well done!

The AI seemed easy to me, I know the rules from watching the show and I won by a large margin first try.

Mizza•8mo ago
I can see this being addictive! Would like a harder AI, though, it's not enough of a challenge.

What's the optimal strategy? I tried a few just for fun and found I got the highest score by taking all the corners to start, but I don't think it's a strategy which would work well against a better AI.

Looks like this is the AI's strategy: https://github.com/schaoss/wall-go/blob/6d5af58ffe9f4ce8e648... which is the opposite of mine. But I get more points!

pjmlp•8mo ago
Looks very cool and quite addictive as well, congrats.
sychu•8mo ago
Thanks for all the kind words and feedback! I’m the developer behind this project.

I totally agree — the current AI is still quite weak (even the “hard” mode isn’t available yet ). Right now it’s using a simple minimax + heuristic evaluation, but I’m actively working on a stronger version. If you’re curious about how it works or want to contribute ideas (or code!), feel free to check out the repo here: https://github.com/schaoss/wall-go

Also glad to hear some of you tried different strategies! I’ve seen players go for center control, corner traps, or aggressive sealing. It’s fascinating how this seemingly simple game offers so many tactical options.

Coming soon: • Better AI • 3/4 - player mode (yes, just like in the show!) • Maybe even online multiplayer, maybe

Thanks again for the encouragement — I didn’t expect this side project to gain traction, but it’s been a joy to build and share. Let me know what features you’d love to see next!

quuxplusone•8mo ago
Today the "Hard" AI is ungrayed; but it seems significantly less intelligent than yesterday's "Medium" AI. The "Hard" AI likes to wall itself into 1x1 boxes almost regardless of the human's moves.
sychu•8mo ago
Hello HN, The AI just received a major logic upgrade — better evaluation function, tighter move selection. Still work-in-progress, but it’s a lot smarter than before. Try the latest build and let me know how it feels!