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Core Expertise: Payment Systems: Stripe Connect marketplaces, PCI compliance Cloud & Infrastructure: AWS, GCP, Azure deployment and optimization, Kubernetes, infrastructure-as-code Healthcare Tech: HIPAA-compliant architectures, API Architecture: 3rd-party integrations (Stripe, Twilio, SendGrid, Calendly, DocuSeal) Full-Stack: Modern web applications, system architecture, 99.9%+ uptime SLAs
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Ideal Projects: Healthcare/HealthTech, Professional Services, B2B Marketplaces. Particularly interested in high-automation tech stacks, rapid scaling challenges, and technical transformations. Availability: 10-15 hours/week Rate: $250/hour Email: adamel { at } {g mail dot com}
I need substance and clear explanations of models, methodology, concepts with some visual support. Screenshots of the product are great but a quick real or two showing different examples or scenarios may be better.
I'm also skeptical many people who are already technical and already using AI tools will now want to use YOUR tool to conduct simulation based testing instead of creating their own. The deeper and more complex the simulation, the less likely your tool can adapt to specific business models and their core logic.
This is party of the irony of AI and YC startups, LOTS of people creating this interesting pieces of software with AI when part of the huge moat that AI provides is being able to more quickly create your own software. As it evolves, the SaaS model may face serious trouble except in the most valuable (e.g. complex and/or highly scalable) solutions already available with good value.
However simulations ARE important and they can take a ton of time to develop or get right, so I would agree this could be an interesting market if people give it a chance and it's well designed to support different stacks and business logic scenarios.
A core strategic strength of the US over the last century has been that everyone with any talent wants to come here to work, and by and large we’ve let them do so. You can argue how well that’s worked out for us - having worked with a great many extremely talented H1bs in an industry largely built by immigrants, I’d consider it pretty positive - but it damn sure hasn’t worked out well for the countries those talented folks came from.
A huge reason we have so many unicorns is because doing business and scaling in the US is easier than EU or other places.
A huge part of why the Manhattan Project was successful was also because of substantial brain drain from Europe. I think Scott Galloway wrote about this or may have popularized it.
I recently got a Google scam call from someone using Google Voice in the bay area (650 number) claiming to be with Google and that an unauthorized device was trying to access my account. Eventually realized they were just trying to get my to unlock my account probably to drain bank accounts.
I'll admit these "far right" labels don't hold much weight, usually just a way to expose yourself (the author here). But I agree with much of the overall sentiment of the article. The AI hype feels a bit dystopian and I say that as someone who has been heavily using LLMs since 2023.
They're very useful but we also have to ask ourselves what the world will look like if we automate everyone out of a job.
Windows 11 is bloated, loaded with telemetry, won't stop nagging you about OneDrive and Office365 and now mandates sign-in with a Microsoft account while forcing 400+ million devices to not have security updates.
I'm willing to bet most of Microsoft's engineers are using Claude, not their own garbage.