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Replacing Obsidian with Neovim

https://linkarzu.com/posts/neovim/markdown-setup-2025/
1•feel-ix-343•1m ago•0 comments

Velocity of Money

https://en.wikipedia.org/wiki/Velocity_of_money
1•gurjeet•2m ago•0 comments

Stop building automations. Start running your business

https://www.fluxtopus.com/automate-your-business
1•valboa•7m ago•1 comments

You can't QA your way to the frontier

https://www.scorecard.io/blog/you-cant-qa-your-way-to-the-frontier
1•gk1•8m ago•0 comments

Show HN: PalettePoint – AI color palette generator from text or images

https://palettepoint.com
1•latentio•8m ago•0 comments

Robust and Interactable World Models in Computer Vision [video]

https://www.youtube.com/watch?v=9B4kkaGOozA
1•Anon84•12m ago•0 comments

Nestlé couldn't crack Japan's coffee market.Then they hired a child psychologist

https://twitter.com/BigBrainMkting/status/2019792335509541220
1•rmason•14m ago•0 comments

Notes for February 2-7

https://taoofmac.com/space/notes/2026/02/07/2000
2•rcarmo•15m ago•0 comments

Study confirms experience beats youthful enthusiasm

https://www.theregister.com/2026/02/07/boomers_vs_zoomers_workplace/
2•Willingham•22m ago•0 comments

The Big Hunger by Walter J Miller, Jr. (1952)

https://lauriepenny.substack.com/p/the-big-hunger
2•shervinafshar•23m ago•0 comments

The Genus Amanita

https://www.mushroomexpert.com/amanita.html
1•rolph•28m ago•0 comments

We have broken SHA-1 in practice

https://shattered.io/
9•mooreds•29m ago•2 comments

Ask HN: Was my first management job bad, or is this what management is like?

1•Buttons840•30m ago•0 comments

Ask HN: How to Reduce Time Spent Crimping?

2•pinkmuffinere•31m ago•0 comments

KV Cache Transform Coding for Compact Storage in LLM Inference

https://arxiv.org/abs/2511.01815
1•walterbell•36m ago•0 comments

A quantitative, multimodal wearable bioelectronic device for stress assessment

https://www.nature.com/articles/s41467-025-67747-9
1•PaulHoule•38m ago•0 comments

Why Big Tech Is Throwing Cash into India in Quest for AI Supremacy

https://www.wsj.com/world/india/why-big-tech-is-throwing-cash-into-india-in-quest-for-ai-supremac...
1•saikatsg•38m ago•0 comments

How to shoot yourself in the foot – 2026 edition

https://github.com/aweussom/HowToShootYourselfInTheFoot
1•aweussom•38m ago•0 comments

Eight More Months of Agents

https://crawshaw.io/blog/eight-more-months-of-agents
4•archb•40m ago•0 comments

From Human Thought to Machine Coordination

https://www.psychologytoday.com/us/blog/the-digital-self/202602/from-human-thought-to-machine-coo...
1•walterbell•40m ago•0 comments

The new X API pricing must be a joke

https://developer.x.com/
1•danver0•41m ago•0 comments

Show HN: RMA Dashboard fast SAST results for monorepos (SARIF and triage)

https://rma-dashboard.bukhari-kibuka7.workers.dev/
1•bumahkib7•42m ago•0 comments

Show HN: Source code graphRAG for Java/Kotlin development based on jQAssistant

https://github.com/2015xli/jqassistant-graph-rag
1•artigent•47m ago•0 comments

Python Only Has One Real Competitor

https://mccue.dev/pages/2-6-26-python-competitor
4•dragandj•48m ago•0 comments

Tmux to Zellij (and Back)

https://www.mauriciopoppe.com/notes/tmux-to-zellij/
1•maurizzzio•49m ago•1 comments

Ask HN: How are you using specialized agents to accelerate your work?

1•otterley•50m ago•0 comments

Passing user_id through 6 services? OTel Baggage fixes this

https://signoz.io/blog/otel-baggage/
1•pranay01•51m ago•0 comments

DavMail Pop/IMAP/SMTP/Caldav/Carddav/LDAP Exchange Gateway

https://davmail.sourceforge.net/
1•todsacerdoti•52m ago•0 comments

Visual data modelling in the browser (open source)

https://github.com/sqlmodel/sqlmodel
1•Sean766•54m ago•0 comments

Show HN: Tharos – CLI to find and autofix security bugs using local LLMs

https://github.com/chinonsochikelue/tharos
1•fluantix•54m ago•0 comments
Open in hackernews

Show HN: The Logos Programming Language and Theorem Prover

https://logicaffeine.com/crates
3•tristenharr•3w ago

Comments

tristenharr•3w ago
Creates: https://crates.io/crates/logicaffeine-base https://crates.io/crates/logicaffeine-data https://crates.io/crates/logicaffeine-kernel https://crates.io/crates/logicaffeine-lexicon https://crates.io/crates/logicaffeine-system https://crates.io/crates/logicaffeine-proof https://crates.io/crates/logicaffeine-language https://crates.io/crates/logicaffeine-compile https://crates.io/crates/logicaffeine-cli

Documentation: https://docs.logicaffeine.com Studio Example: https://logicaffeine.com/studio?file=examples/code/memory/zo...

tristenharr•3w ago
Enhancements Short Term Roadmap -> https://github.com/Brahmastra-Labs/logicaffeine/issues?q=is%...
tristenharr•3w ago
3 days of refactoring, over 140,000 lines of code touched. All ~2500+ tests still passing. I'm going to sleep! Another all-nighter. Talk about a fun Friday night! :) I frickin love this stuff so much! It's like having an ARMY. A LITERAL ARMY OF PHD's. You can raise mountains in minutes it feels like. That's been my experience. You all may call it slop, but I think spec driven development is great. I just think that if you have to write documentation to explain the code, then either your language syntax isn't precise and easy enough to understand, or you are doing something convoluted and potentially stupid. It's a language surface problem. The languages of the past were constrained by human limitations. In the past you'd be out of your mind trying to write a crazy multi-pass compiler and doing all the tips and tricks to make something fast because a human had to maintain it. If you formally specify the constraints of something, design tests that codify those constraints, and then develop code that passes those tests without cheating or changing them, then these new technologies rapidly gain something that gets much closer to determinism.

I think for me the key thing has been treating the tests like I'd treat my foundation. When something is wrong, or I need to design something, it starts with a spec that tries to solve the domain problems, which turns into a plan for tests that will fail when we run them now, but should pass when we have completed the implementation. You may miss edge cases, but when you identify them, you fix them for good by adding tests for them.

One of the tricky parts is creating a good test harness. You have to have a great harness and I need to go through and improve mine!

Anyways, I'm exhausted folks, pizza is all gone and the mountain dew ran out. Time for me to snooze.