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I went back to Linux and it was a mistake

https://www.theverge.com/report/875077/linux-was-a-mistake
1•timpera•53s ago•1 comments

Octrafic – open-source AI-assisted API testing from the CLI

https://github.com/Octrafic/octrafic-cli
1•mbadyl•2m ago•1 comments

US Accuses China of Secret Nuclear Testing

https://www.reuters.com/world/china/trump-has-been-clear-wanting-new-nuclear-arms-control-treaty-...
1•jandrewrogers•2m ago•0 comments

Peacock. A New Programming Language

1•hashhooshy•7m ago•1 comments

A postcard arrived: 'If you're reading this I'm dead, and I really liked you'

https://www.washingtonpost.com/lifestyle/2026/02/07/postcard-death-teacher-glickman/
2•bookofjoe•8m ago•1 comments

What to know about the software selloff

https://www.morningstar.com/markets/what-know-about-software-stock-selloff
2•RickJWagner•12m ago•0 comments

Show HN: Syntux – generative UI for websites, not agents

https://www.getsyntux.com/
3•Goose78•13m ago•0 comments

Microsoft appointed a quality czar. He has no direct reports and no budget

https://jpcaparas.medium.com/ab75cef97954
2•birdculture•13m ago•0 comments

AI overlay that reads anything on your screen (invisible to screen capture)

https://lowlighter.app/
1•andylytic•14m ago•1 comments

Show HN: Seafloor, be up and running with OpenClaw in 20 seconds

https://seafloor.bot/
1•k0mplex•15m ago•0 comments

Tesla turbine-inspired structure generates electricity using compressed air

https://techxplore.com/news/2026-01-tesla-turbine-generates-electricity-compressed.html
2•PaulHoule•16m ago•0 comments

State Department deleting 17 years of tweets (2009-2025); preservation needed

https://www.npr.org/2026/02/07/nx-s1-5704785/state-department-trump-posts-x
2•sleazylice•16m ago•1 comments

Learning to code, or building side projects with AI help, this one's for you

https://codeslick.dev/learn
1•vitorlourenco•17m ago•0 comments

Effulgence RPG Engine [video]

https://www.youtube.com/watch?v=xFQOUe9S7dU
1•msuniverse2026•18m ago•0 comments

Five disciplines discovered the same math independently – none of them knew

https://freethemath.org
4•energyscholar•19m ago•1 comments

We Scanned an AI Assistant for Security Issues: 12,465 Vulnerabilities

https://codeslick.dev/blog/openclaw-security-audit
1•vitorlourenco•20m ago•0 comments

Amazon no longer defend cloud customers against video patent infringement claims

https://ipfray.com/amazon-no-longer-defends-cloud-customers-against-video-patent-infringement-cla...
2•ffworld•20m ago•0 comments

Show HN: Medinilla – an OCPP compliant .NET back end (partially done)

https://github.com/eliodecolli/Medinilla
2•rhcm•23m ago•0 comments

How Does AI Distribute the Pie? Large Language Models and the Ultimatum Game

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6157066
1•dkga•24m ago•1 comments

Resistance Infrastructure

https://www.profgalloway.com/resistance-infrastructure/
3•samizdis•28m ago•1 comments

Fire-juggling unicyclist caught performing on crossing

https://news.sky.com/story/fire-juggling-unicyclist-caught-performing-on-crossing-13504459
1•austinallegro•29m ago•0 comments

Restoring a lost 1981 Unix roguelike (protoHack) and preserving Hack 1.0.3

https://github.com/Critlist/protoHack
2•Critlist•30m ago•0 comments

GPS and Time Dilation – Special and General Relativity

https://philosophersview.com/gps-and-time-dilation/
1•mistyvales•33m ago•0 comments

Show HN: Witnessd – Prove human authorship via hardware-bound jitter seals

https://github.com/writerslogic/witnessd
1•davidcondrey•34m ago•1 comments

Show HN: I built a clawdbot that texts like your crush

https://14.israelfirew.co
2•IsruAlpha•36m ago•2 comments

Scientists reverse Alzheimer's in mice and restore memory (2025)

https://www.sciencedaily.com/releases/2025/12/251224032354.htm
2•walterbell•39m ago•0 comments

Compiling Prolog to Forth [pdf]

https://vfxforth.com/flag/jfar/vol4/no4/article4.pdf
1•todsacerdoti•40m ago•0 comments

Show HN: Cymatica – an experimental, meditative audiovisual app

https://apps.apple.com/us/app/cymatica-sounds-visualizer/id6748863721
1•_august•41m ago•0 comments

GitBlack: Tracing America's Foundation

https://gitblack.vercel.app/
12•martialg•41m ago•1 comments

Horizon-LM: A RAM-Centric Architecture for LLM Training

https://arxiv.org/abs/2602.04816
1•chrsw•42m ago•0 comments
Open in hackernews

After 20 years in hospitality, I built an AI that learns to run a restaurant

https://schedulifypro.com/
4•SenseiOS•1mo ago

Comments

SenseiOS•1mo ago
Hey HN,

  For the last 20 years, I've managed frontline hospitality operations. The single hardest problem, the one that causes
  the most financial loss and human burnout, is scheduling. It's an impossible, multi-dimensional puzzle. You have to
  balance labor costs, employee skills, availability, legal constraints, and predicted demand, all while dealing with
  the chaos of the real world.

  I became obsessed with the idea: what if the building itself had a memory? What if the schedule could learn?

  So I started building HaleES, with an AI persona I call "Sensei." It's my attempt at creating an 'operating system'
  for physical operations. It hooks into the POS, cameras, and employee data to understand what's happening, then uses a
  suite of specialized "brains" to predict problems and optimize operations.

  The core technology isn't just a single ML model. The defensibility comes from unifying four systems:
   1. A Normalized Language for all operational data.
   2. A Constraint Engine that understands the rules of the business.
   3. An Intent-to-Action Layer that safely turns natural language into audited actions.
   4. A Learning Loop with a "Champion/Challenger" model so the system gets smarter every week.

  The website I submitted contains the first "HaleOS Paper" explaining the core 'Intent Graph', and more importantly, it
  features 8 live, interactive demos you can try right now.

  I especially recommend checking out the "Chargeback Guardian" to see how the AI uses video and POS data to
  automatically fight fraud, and the "Live Prep Flow" to see how it orchestrates a kitchen in real-time.

  This project is my life's work. I'm posting it here because the quality of feedback on HN is second to none. I'd be
  honored to hear what you think about the architecture and the demos. Thanks for your time.
mnky9800n•1mo ago
Tbh this just looks like a website. It’s unclear why I need to pay you hundreds to optimize a schedule when I could just ask ChatGPT to do it. It’s unclear how all these things go together. The demos seem like they are fake. And I get the sense that if this is a product it’s a n8n workflow or something similar.

Also, if you have 20 years experience in the industry, why do you need this website at all? How do you not have the relationships necessary to at least demo the product and test it at your friends restaurants or hotels or whatever? That’s the biggest red flag imo. That you need hacker news feedback at all.

SenseiOS•1mo ago
This is a fantastic and completely fair critique. Thank you for laying it out so clearly. You've hit on the core challenges of communicating a project like this, so let me address each of your points directly. This is an insightful comparison that highlights the key difference. A workflow tool like n8n or Zapier is a "dumb pipe"—it connects existing services and passes data between them based on static rules. HaleES is the central nervous system. It doesn't just connect the POS and the scheduler; it understands the relationship between them and actively optimizes their interaction based on a constantly evolving model of your business. More importantly, the vision for HaleOS is not to build a lifestyle business or a consulting tool for a few friends!

   * The `Critic Brain`: ChatGPT can't tell you if a schedule will result in 45% labor costs or if it violates three different state labor laws for minor employees. Our Critic Brain runs dozens of financial and compliance checks before a schedule is even proposed.

   * The `Prediction Engine`: ChatGPT can't tell you that a tech conference two blocks away is going to cause a 300% sales spike on a Tuesday afternoon. Our Prediction Engine can, because it integrates external data sources.

   * The `Learning Engine`: If ChatGPT gives you a bad schedule today, it will give you the same bad schedule tomorrow. Our Learning Engine compares every schedule to real-world sales and labor data and gets progressively smarter. It learns that your store's "best" cook is actually a poor fit for slow Monday mornings.
It's to create a new standard—a new operating system—for how all physical businesses are managed. You cannot achieve a mission of that scale in private. You must build in public. You need the scrutiny and the brilliant, skeptical feedback of communities like this one to stress-test the ideas and ensure the architecture is sound enough to support that vision. So yes, being here is a flag. It is the flag of ambition. It's a signal that I am not trying to build another app. I am trying to build a new kind of operating system, and that is something that requires a global community of experts to get right. Thank you again for the sharp questions.
mnky9800n•1mo ago
I guess it’s my fault for thinking I would get a human response instead of an llm. What a waste of my time.
SenseiOS•1mo ago
100% is a human response. My apology's would you rather me articulate in Gen Z?
fuzzfactor•1mo ago
I like the looks of this even though I am not in food service, for some problems only decades of experience on the front lines can be what it takes to pull the loose ends together.

When you're obsessed and it's your life's work, people who accept lesser solutions are often the ones missing out the most.

SenseiOS•1mo ago
Thank you so much for this incredibly insightful comment as well!! You've perfectly articulated the 'why' behind HaleES. That's exactly it—those decades of frontline experience reveal the true 'loose ends' in an operation, the subtle, often unwritten rules that make a business truly run, which off-the-shelf software completely misses. Sensei is built to codify that wisdom, to act as a living memory of that operational expertise, and to continuously improve upon it. And you're absolutely right about obsession. When you truly believe there's a better way, it becomes your life's work to build it. We believe that by creating an Orchestrated Operational Intelligence like Sensei, we can bring that 'better way' to every business. While we're starting in hospitality, the underlying challenges of managing complex, dynamic systems with people, products, and processes are universal. We're excited to see where this journey takes us!!