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Omarchy First Impressions

https://brianlovin.com/writing/omarchy-first-impressions-CEEstJk
1•tosh•1m ago•0 comments

Reinforcement Learning from Human Feedback

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

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

https://github.com/Concode0/Versor
1•concode0•2m ago•1 comments

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

https://medresearch-ai.org/hypotheses-hub/
1•panossk•5m ago•0 comments

Big Tech vs. OpenClaw

https://www.jakequist.com/thoughts/big-tech-vs-openclaw/
1•headalgorithm•8m ago•0 comments

Anofox Forecast

https://anofox.com/docs/forecast/
1•marklit•8m ago•0 comments

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

1•doodledood•8m ago•0 comments

Motus: A Unified Latent Action World Model

https://arxiv.org/abs/2512.13030
1•mnming•8m ago•0 comments

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

https://www.thedailybeast.com/obsessed/rotten-tomatoes-desperately-claims-impossible-rating-for-m...
2•juujian•10m ago•1 comments

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

https://www.science.org/doi/10.1126/scisignal.adv0660
1•thunderbong•12m ago•0 comments

Los Alamos Primer

https://blog.szczepan.org/blog/los-alamos-primer/
1•alkyon•14m ago•0 comments

NewASM Virtual Machine

https://github.com/bracesoftware/newasm
1•DEntisT_•17m ago•0 comments

Terminal-Bench 2.0 Leaderboard

https://www.tbench.ai/leaderboard/terminal-bench/2.0
2•tosh•17m ago•0 comments

I vibe coded a BBS bank with a real working ledger

https://mini-ledger.exe.xyz/
1•simonvc•17m ago•1 comments

The Path to Mojo 1.0

https://www.modular.com/blog/the-path-to-mojo-1-0
1•tosh•20m ago•0 comments

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

https://github.com/voice-of-japan/Virtual-Protest-Protocol/blob/main/README.md
4•sakanakana00•23m ago•0 comments

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

https://divvyai.app/
3•pieterdy•26m ago•0 comments

Hot Reloading in Rust? Subsecond and Dioxus to the Rescue

https://codethoughts.io/posts/2026-02-07-rust-hot-reloading/
3•Tehnix•26m ago•1 comments

Skim – vibe review your PRs

https://github.com/Haizzz/skim
2•haizzz•28m ago•1 comments

Show HN: Open-source AI assistant for interview reasoning

https://github.com/evinjohnn/natively-cluely-ai-assistant
4•Nive11•28m ago•6 comments

Tech Edge: A Living Playbook for America's Technology Long Game

https://csis-website-prod.s3.amazonaws.com/s3fs-public/2026-01/260120_EST_Tech_Edge_0.pdf?Version...
2•hunglee2•32m ago•0 comments

Golden Cross vs. Death Cross: Crypto Trading Guide

https://chartscout.io/golden-cross-vs-death-cross-crypto-trading-guide
3•chartscout•34m ago•0 comments

Hoot: Scheme on WebAssembly

https://www.spritely.institute/hoot/
3•AlexeyBrin•37m ago•0 comments

What the longevity experts don't tell you

https://machielreyneke.com/blog/longevity-lessons/
2•machielrey•38m ago•1 comments

Monzo wrongly denied refunds to fraud and scam victims

https://www.theguardian.com/money/2026/feb/07/monzo-natwest-hsbc-refunds-fraud-scam-fos-ombudsman
3•tablets•43m ago•1 comments

They were drawn to Korea with dreams of K-pop stardom – but then let down

https://www.bbc.com/news/articles/cvgnq9rwyqno
2•breve•45m ago•0 comments

Show HN: AI-Powered Merchant Intelligence

https://nodee.co
1•jjkirsch•48m ago•0 comments

Bash parallel tasks and error handling

https://github.com/themattrix/bash-concurrent
2•pastage•48m ago•0 comments

Let's compile Quake like it's 1997

https://fabiensanglard.net/compile_like_1997/index.html
2•billiob•49m ago•0 comments

Reverse Engineering Medium.com's Editor: How Copy, Paste, and Images Work

https://app.writtte.com/read/gP0H6W5
2•birdculture•54m ago•0 comments
Open in hackernews

Show HN: Vector-logic, a lightweight rules engine from first principles

https://github.com/dmitry-lesnik/vector-logic
8•dmitry_stratyfy•2mo ago

Comments

dmitry_stratyfy•2mo ago
Hi HN, I'm one of the creators. I've been tackling the problem of managing complex business rules for years (especially in fintech), and wanted a lightweight, Python-native tool that was built on a solid theoretical foundation.

We built vector-logic (it's on PyPI) and wrote a hands-on guide for Towards Data Science: https://towardsdatascience.com/building-a-rules-engine-from-...

The whole framework is based on a theory we call 'State Algebra,' which we co-authored for arXiv: https://arxiv.org/abs/2509.10326

Happy to answer any questions!

Antibabelic•2mo ago
How does this compare to something like Prolog?
dmitry_stratyfy•2mo ago
Prolog is heavy-weight 1st order logic machine.

vector-logic is light-weight propositional logic inference engine. Optimised for simple queries like "what is the value of 'y' given all rules and evidences", and also allows you to iterate through the entire valid set (all valid assignments).

We also bothered to make the interface very simple and intuitive - you'll have very shallow learning curve.

nch1357•2mo ago
Hi Dmitry. This is really cool -- thanks for sharing! This is very clean and intuitive, and it definitely come in handy when I'm mapping out systems logic.
dmitry_stratyfy•2mo ago
Glad to hear that! Ping me if you have any questions
d_blumberg•2mo ago
Is it brute force or uses some sort of heuristics?
dmitry_stratyfy•2mo ago
Good point. Yes, it uses optimisation for various tasks.

First of all, it uses compact representatin of rules - similar to DNF, but converted to a sparse matrix.

Second, for the inference (which is a process of compiling the knowledge base) the order in which rules are compiled is crucial. We use two types of heuristic optimisations for this process, one is based on Jaccard similarity, another is so called predator-pray heuristics.

Happy to give more details, let me know

d_blumberg•2mo ago
I checked your benchmarks. Runtime with 30 rules is 5x longer than with 45 rules. Am I missing something?
dmitry_stratyfy•2mo ago
This is an expected behaviour. More rules impose more constraints on the feasible space. The space with more rules is hence much smaller. The only pitfall is that in the middle of calculation the feasible space may blow up before eventually shrinking. This is where the optimisation heuristics helps. Your previous question was spot on :)