You just realistically can't know everything. I have a tankless water heater. It's almost a magical black box to me, but I know a little bit more about it now that I've taken pictures of it and asked LLMs to explain it to me. I'm still not a water heater technician, but I feel more knowledgeable.
And on the topic of motorcycles, I recently got a crappy bike that barely starts, and I partially got it because I feel capable of fixing it. And now it runs pretty well because I used lots of "video chats" with Gemini (and the owner's manual as context) to fix it!
Just be sure to run it with --accept-dns=false otherwise you won't have any outbound Internet on your server if you ever get logged out. That was annoying to find out (but easy to debug with Claude!)
This is exactly the way I see it. You can always get better performance at lower levels of abstraction, but there are trade-offs. Sometimes the trade-offs are worth it (like building bigger things), and sometimes they aren't (it's a buggy mess).
This is exactly the case. Businesses in the past wouldn't automate some process because they couldn't afford to develop it. Now they can! Which frees up resources to tackle something else on the backlog. It's pretty exciting.
I'm a PM with a proven track record shipping AI products that make money. At Anomali, I launched their Copilot generative AI suite from zero to millions in ARR. I handled everything from product-market fit to pricing and packaging. Before that, I built Splunk's first cloud-native SaaS app called Mission Control, coordinating 40+ engineers across 30+ teams to unify SIEM, SOAR, and investigation workflows into one platform. We gained over 1000 DAUs and 350+ customers in six months.
I'm technical enough to be dangerous with a CS degree, partial MS in Cybersecurity from Georgia Tech, and I build things for fun (my side projects have hit the HN front page). But my real value is bridging deep technical understanding with business strategy in fast-moving security/AI markets.
Looking for companies at an inflection point where I can build or significantly scale a product function. Ideally somewhere at the intersection of AI and cybersecurity.
My small personal blog with tens of readers a month gets thousands of hits a day from bots. The ROI there must be worthwhile for those bots but not for me to self-host
I like the idea of having my own rack in a data center somewhere (or sharing the rack, whatever) but even a tiny cost is still more than free. And even then, that data center will also have outages, with none of the benefits of a Cloudflare Pages, GitHub Pages, etc.
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