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Bringing Polars to .NET

https://github.com/ErrorLSC/Polars.NET
1•CurtHagenlocher•1m ago•0 comments

Adventures in Guix Packaging

https://nemin.hu/guix-packaging.html
1•todsacerdoti•2m ago•0 comments

Show HN: We had 20 Claude terminals open, so we built Orcha

1•buildingwdavid•2m ago•0 comments

Your Best Thinking Is Wasted on the Wrong Decisions

https://www.iankduncan.com/engineering/2026-02-07-your-best-thinking-is-wasted-on-the-wrong-decis...
1•iand675•2m ago•0 comments

Warcraftcn/UI – UI component library inspired by classic Warcraft III aesthetics

https://www.warcraftcn.com/
1•vyrotek•3m ago•0 comments

Trump Vodka Becomes Available for Pre-Orders

https://www.forbes.com/sites/kirkogunrinde/2025/12/01/trump-vodka-becomes-available-for-pre-order...
1•stopbulying•5m ago•0 comments

Velocity of Money

https://en.wikipedia.org/wiki/Velocity_of_money
1•gurjeet•7m ago•0 comments

Stop building automations. Start running your business

https://www.fluxtopus.com/automate-your-business
1•valboa•11m 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•13m ago•0 comments

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

https://palettepoint.com
1•latentio•13m ago•0 comments

Robust and Interactable World Models in Computer Vision [video]

https://www.youtube.com/watch?v=9B4kkaGOozA
2•Anon84•17m 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•19m ago•0 comments

Notes for February 2-7

https://taoofmac.com/space/notes/2026/02/07/2000
2•rcarmo•20m ago•0 comments

Study confirms experience beats youthful enthusiasm

https://www.theregister.com/2026/02/07/boomers_vs_zoomers_workplace/
2•Willingham•27m ago•0 comments

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

https://lauriepenny.substack.com/p/the-big-hunger
2•shervinafshar•28m ago•0 comments

The Genus Amanita

https://www.mushroomexpert.com/amanita.html
1•rolph•33m ago•0 comments

We have broken SHA-1 in practice

https://shattered.io/
9•mooreds•34m ago•2 comments

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

1•Buttons840•35m ago•0 comments

Ask HN: How to Reduce Time Spent Crimping?

2•pinkmuffinere•36m ago•0 comments

KV Cache Transform Coding for Compact Storage in LLM Inference

https://arxiv.org/abs/2511.01815
1•walterbell•41m ago•0 comments

A quantitative, multimodal wearable bioelectronic device for stress assessment

https://www.nature.com/articles/s41467-025-67747-9
1•PaulHoule•43m 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...
2•saikatsg•43m ago•0 comments

How to shoot yourself in the foot – 2026 edition

https://github.com/aweussom/HowToShootYourselfInTheFoot
2•aweussom•43m ago•0 comments

Eight More Months of Agents

https://crawshaw.io/blog/eight-more-months-of-agents
4•archb•45m 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•45m ago•0 comments

The new X API pricing must be a joke

https://developer.x.com/
1•danver0•46m ago•0 comments

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

https://rma-dashboard.bukhari-kibuka7.workers.dev/
1•bumahkib7•47m ago•0 comments

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

https://github.com/2015xli/jqassistant-graph-rag
1•artigent•52m ago•0 comments

Python Only Has One Real Competitor

https://mccue.dev/pages/2-6-26-python-competitor
4•dragandj•53m ago•0 comments

Tmux to Zellij (and Back)

https://www.mauriciopoppe.com/notes/tmux-to-zellij/
1•maurizzzio•54m ago•1 comments
Open in hackernews

Show HN: A platform that creates AI Agents using 'job descriptions'

https://composeai.io
1•RealzDLegend•3mo ago
Hi HN, I've been working on something that started as personal frustration and turned into what I think might be a different way of thinking about AI agents. The problem: Repetitive work is unavoidable if you want to grow at anything. Building an audience, managing research, shipping products, etc. they all require those soul-crushing repetitive tasks. The 1% inspiration, 99% perspiration thing is real.

I tried n8n, Make, Zapier. They work, don’t get me wrong, but the setup time doesn't make it worth the output once you're automating multiple workflows. They're deterministic but brittle and not adaptive. The tight coupling means one change breaks everything. The Agent-based ones were more like interns than employees: they won’t work if you don’t prompt (and in a particular way or style), couldn't generalize, and didn't fit how real teams actually work.

So I started asking; what if you could onboard an AI agent the way you onboard a human? What if it could pursue long-term goals autonomously, without you prompting it every step? What if it could be deterministic without being brittle? You know? Better output with a more seamless input. That's why we built Compose AI. Instead of you prompting the agent, the agent prompts you. Each agent has a job description (like you'd write for a human hire) that defines expectations and outcomes. You onboard them on your data - apps, drive, APIs, databases, documents - and they build a knowledge graph to understand relationships across your organization without explicit “tight-coupling".

Key differences: - Autonomous goal pursuit: Tell an agent what to accomplish, not how to do it. It creates its own task list and executes. - Human-like onboarding: Create agents using regular job descriptions containing your workflow and expectations. - Multi-channel interaction: Email, voice, soon phone and Teams. You're not locked into a UI. - Local browser automation: For tasks requiring a browser, agents can connect to your local computer browser. They work on a separate workspace on your computer - your browsing data stays local. Cloud browsing is also possible. - Stack integration: Works across Google Docs, Notion, CRMs, whatever you're already using. You don't need to be technical or be an expert at prompt engineering.

You just need a clear job description, which includes your workflow and expectations. The system handles the rest.

We have some pre-configured digital employees you can activate immediately (with job descriptions defined by us), or you can create your own. I see this as inverting the current paradigm - instead of humans adapting to how AI wants to be prompted, AI adapts to how humans already organize work. Maybe it's a glimpse into how human-machine collaboration evolves. Maybe it's just a better way to stop doing repetitive tasks. Either way, I'd love for you to try it and tell me what breaks.

Try it here: https://composeai.io

Looking forward to your feedback - especially the brutally honest kind.