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Big Tech vs. OpenClaw

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

Show HN: Orcha – Run multiple AI coding agents in parallel, locally

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

Anofox Forecast

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

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

1•doodledood•2m ago•0 comments

Motus: A Unified Latent Action World Model

https://arxiv.org/abs/2512.13030
1•mnming•2m 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...
1•juujian•4m ago•0 comments

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

https://www.science.org/doi/10.1126/scisignal.adv0660
1•thunderbong•5m ago•0 comments

Los Alamos Primer

https://blog.szczepan.org/blog/los-alamos-primer/
1•alkyon•8m ago•0 comments

NewASM Virtual Machine

https://github.com/bracesoftware/newasm
1•DEntisT_•10m ago•0 comments

Terminal-Bench 2.0 Leaderboard

https://www.tbench.ai/leaderboard/terminal-bench/2.0
1•tosh•10m ago•0 comments

I vibe coded a BBS bank with a real working ledger

https://mini-ledger.exe.xyz/
1•simonvc•11m ago•1 comments

The Path to Mojo 1.0

https://www.modular.com/blog/the-path-to-mojo-1-0
1•tosh•13m 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•17m ago•0 comments

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

https://divvyai.app/
3•pieterdy•19m 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•19m ago•1 comments

Skim – vibe review your PRs

https://github.com/Haizzz/skim
2•haizzz•21m ago•1 comments

Show HN: Open-source AI assistant for interview reasoning

https://github.com/evinjohnn/natively-cluely-ai-assistant
4•Nive11•21m 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•25m ago•0 comments

Golden Cross vs. Death Cross: Crypto Trading Guide

https://chartscout.io/golden-cross-vs-death-cross-crypto-trading-guide
2•chartscout•27m ago•0 comments

Hoot: Scheme on WebAssembly

https://www.spritely.institute/hoot/
3•AlexeyBrin•30m ago•0 comments

What the longevity experts don't tell you

https://machielreyneke.com/blog/longevity-lessons/
2•machielrey•32m 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•36m 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•39m ago•0 comments

Show HN: AI-Powered Merchant Intelligence

https://nodee.co
1•jjkirsch•41m ago•0 comments

Bash parallel tasks and error handling

https://github.com/themattrix/bash-concurrent
2•pastage•41m ago•0 comments

Let's compile Quake like it's 1997

https://fabiensanglard.net/compile_like_1997/index.html
2•billiob•42m ago•0 comments

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

https://app.writtte.com/read/gP0H6W5
2•birdculture•47m ago•0 comments

Go 1.22, SQLite, and Next.js: The "Boring" Back End

https://mohammedeabdelaziz.github.io/articles/go-next-pt-2
1•mohammede•53m ago•0 comments

Laibach the Whistleblowers [video]

https://www.youtube.com/watch?v=c6Mx2mxpaCY
1•KnuthIsGod•54m ago•1 comments

Slop News - The Front Page right now but it's only Slop

https://slop-news.pages.dev/slop-news
1•keepamovin•59m ago•1 comments
Open in hackernews

Show HN: Julie update – local LLMs, CUA, installers and perf gains

https://tryjulie.vercel.app/
8•luthiraabeykoon•1mo ago
The biggest shift is that Julie now supports fully local LLMs and agentic workflows. It’s no longer limited to answering questions about what’s on screen. It can now run writing and coding agents, and optionally take concrete actions on your computer under supervision.

What’s new:

- Local LLM support. Julie can now run entirely on-device,

- Agentic computer use. I added a computer-use mode with demos showing multi-step actions like clicking, typing, and navigation.

- Writing and coding agents. Draft, refactor, and iterate in-place without moving into a separate workspace.

- Installers are now available, so setup is a lot simpler.

- Significant performance improvements across startup time, memory usage, and latency.

I also wrote a full walkthrough and demos covering how the agents work and where the boundaries are: https://tryjulie.vercel.app/

Repo + installers: https://github.com/Luthiraa/julie

Thanks for all the support and feedback. From the bottom of my heart, I really appreciate it. I’ve loved building this, and it’s been one of the fastest things I’ve taken from idea to something real that people are actually using. I really love this community.

If you enjoyed checking it out, a star on the repo would mean a lot and helps more people find it.

Comments

luthiraabeykoon•1mo ago
One small note: I’m finally at a place where I’m genuinely happy with where this landed, so I’ll probably pause active development for a bit.

That said, I’m excited to see how people use it, and I’ll still be around to answer questions and fix issues if they come up.

llamatheollama•1mo ago
This is a really thoughtful direction. The “overlay instead of another workspace” idea resonates a lot, especially the screen-as-context inversion.

Curious about one thing: where local LLMs feel “good enough” today vs where you still fall back to remote models

The perf work + installers make this feel way more real than most agent demos. Nice job shipping something people can actually try.

luthiraabeykoon•1mo ago
Good question. Local LLMs are already “good enough” for most in-context work: short-to-medium writing, refactors, reasoning over what’s on screen, and multi-step agent plans where latency and privacy matter more than raw IQ.

I still fall back to remote models for very long-context tasks, heavier code synthesis, or when you want best possible reasoning over large codebases, the goal is to default local, then escalate only when it actually adds value.

moderngamer•1mo ago
what llm do you recommend using locally?
luthiraabeykoon•1mo ago
i use qwen3-8B for text and qwen3-vl-4B for vision