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Show HN: 289x speedup over MLP using Spectral Graphs

https://zenodo.org/login/?next=%2Fme%2Fuploads%3Fq%3D%26f%3Dshared_with_me%25253Afalse%26l%3Dlist...
1•andrespi•29s ago•0 comments

Teaching Mathematics

https://www.karlin.mff.cuni.cz/~spurny/doc/articles/arnold.htm
1•samuel246•3m ago•0 comments

3D Printed Microfluidic Multiplexing [video]

https://www.youtube.com/watch?v=VZ2ZcOzLnGg
1•downboots•3m ago•0 comments

Abstractions Are in the Eye of the Beholder

https://software.rajivprab.com/2019/08/29/abstractions-are-in-the-eye-of-the-beholder/
1•whack•3m ago•0 comments

Show HN: Routed Attention – 75-99% savings by routing between O(N) and O(N²)

https://zenodo.org/records/18518956
1•MikeBee•3m ago•0 comments

We didn't ask for this internet – Ezra Klein show [video]

https://www.youtube.com/shorts/ve02F0gyfjY
1•softwaredoug•4m ago•0 comments

The AI Talent War Is for Plumbers and Electricians

https://www.wired.com/story/why-there-arent-enough-electricians-and-plumbers-to-build-ai-data-cen...
1•geox•7m ago•0 comments

Show HN: MimiClaw, OpenClaw(Clawdbot)on $5 Chips

https://github.com/memovai/mimiclaw
1•ssslvky1•7m ago•0 comments

I Maintain My Blog in the Age of Agents

https://www.jerpint.io/blog/2026-02-07-how-i-maintain-my-blog-in-the-age-of-agents/
2•jerpint•7m ago•0 comments

The Fall of the Nerds

https://www.noahpinion.blog/p/the-fall-of-the-nerds
1•otoolep•9m ago•0 comments

I'm 15 and built a free tool for reading Greek/Latin texts. Would love feedback

https://the-lexicon-project.netlify.app/
1•breadwithjam•12m ago•1 comments

How close is AI to taking my job?

https://epoch.ai/gradient-updates/how-close-is-ai-to-taking-my-job
1•cjbarber•12m ago•0 comments

You are the reason I am not reviewing this PR

https://github.com/NixOS/nixpkgs/pull/479442
2•midzer•14m ago•1 comments

Show HN: FamilyMemories.video – Turn static old photos into 5s AI videos

https://familymemories.video
1•tareq_•16m ago•0 comments

How Meta Made Linux a Planet-Scale Load Balancer

https://softwarefrontier.substack.com/p/how-meta-turned-the-linux-kernel
1•CortexFlow•16m ago•0 comments

A Turing Test for AI Coding

https://t-cadet.github.io/programming-wisdom/#2026-02-06-a-turing-test-for-ai-coding
2•phi-system•16m ago•0 comments

How to Identify and Eliminate Unused AWS Resources

https://medium.com/@vkelk/how-to-identify-and-eliminate-unused-aws-resources-b0e2040b4de8
2•vkelk•17m ago•0 comments

A2CDVI – HDMI output from from the Apple IIc's digital video output connector

https://github.com/MrTechGadget/A2C_DVI_SMD
2•mmoogle•17m ago•0 comments

CLI for Common Playwright Actions

https://github.com/microsoft/playwright-cli
3•saikatsg•18m ago•0 comments

Would you use an e-commerce platform that shares transaction fees with users?

https://moondala.one/
1•HamoodBahzar•20m ago•1 comments

Show HN: SafeClaw – a way to manage multiple Claude Code instances in containers

https://github.com/ykdojo/safeclaw
2•ykdojo•23m ago•0 comments

The Future of the Global Open-Source AI Ecosystem: From DeepSeek to AI+

https://huggingface.co/blog/huggingface/one-year-since-the-deepseek-moment-blog-3
3•gmays•24m ago•0 comments

The Evolution of the Interface

https://www.asktog.com/columns/038MacUITrends.html
2•dhruv3006•25m ago•1 comments

Azure: Virtual network routing appliance overview

https://learn.microsoft.com/en-us/azure/virtual-network/virtual-network-routing-appliance-overview
2•mariuz•25m ago•0 comments

Seedance2 – multi-shot AI video generation

https://www.genstory.app/story-template/seedance2-ai-story-generator
2•RyanMu•29m ago•1 comments

Πfs – The Data-Free Filesystem

https://github.com/philipl/pifs
2•ravenical•32m ago•0 comments

Go-busybox: A sandboxable port of busybox for AI agents

https://github.com/rcarmo/go-busybox
3•rcarmo•33m ago•0 comments

Quantization-Aware Distillation for NVFP4 Inference Accuracy Recovery [pdf]

https://research.nvidia.com/labs/nemotron/files/NVFP4-QAD-Report.pdf
2•gmays•34m ago•0 comments

xAI Merger Poses Bigger Threat to OpenAI, Anthropic

https://www.bloomberg.com/news/newsletters/2026-02-03/musk-s-xai-merger-poses-bigger-threat-to-op...
2•andsoitis•34m ago•0 comments

Atlas Airborne (Boston Dynamics and RAI Institute) [video]

https://www.youtube.com/watch?v=UNorxwlZlFk
2•lysace•35m ago•0 comments
Open in hackernews

Show HN: Tickk – Voice task manager for brain dumps (offline, no AI, OSS)

https://tickk.app
1•digi_wares•2mo ago
I built this because I have ADHD and kept losing ideas during brain dumps. You know that feeling when your thoughts are racing at 400 WPM but your fingers can only type 40? That's where ideas die.

Most voice apps either require cloud processing or use AI that I can't audit. I wanted something that captures the chaos without judgment, then helps organize it later.

What it does:

Brain dump by voice → Web Speech API transcribes → compromise.js (deterministic NLP) sorts into tasks/notes Everything runs client-side. No servers, no auth, no data collection. Works offline via PWA + IndexedDB Smart date detection: "tomorrow at 3pm" becomes an actual deadline Priority detection, streak tracking, keyboard shortcuts "Speak. Save. Sort it later." workflow Tech stack:

Next.js 15, TypeScript, Tailwind Web Speech API (browser-native, free) compromise.js for NLP (no ML models) IndexedDB for storage ~300 KB bundle size

Tradeoffs I made:

No cloud sync (by design) → manual export/import JSON instead Firefox support is limited (Web Speech API not fully implemented) Classification isn't perfect (~85-90% accuracy) but it's transparent and auditable No mobile keyboard shortcuts (browser limitation)

Why no AI?

Privacy: I wanted zero data leaving the device Speed: Deterministic rules are instant, no API latency Transparency: You can read exactly how classification works Cost: Browser APIs are free Try it: https://tickk.app (just click the mic and brain dump) Code: https://github.com/digitalwareshub/tickk

Built primarily for ADHD brain dumps but useful for anyone who thinks faster than they type.

Happy to discuss architecture decisions, especially around the offline-first approach. Also curious if anyone has ideas for improving task/note classification without adding AI.