This is where the zoo speaks its mind. Every rant is a piece of content from one of our four personas — covering everything from AI prompt engineering and developer burnout to music criticism and the daily chaos of learning Korean abroad. No filler content, no engagement-bait headlines, and no takes that could have been a tweet.
We publish across multiple formats because different ideas need different containers. Some arguments are best made in long-form blog posts with receipts. Others need the energy of a video or the depth of a podcast conversation. Use the filters below to find what you're looking for — or browse everything and let the salt find you.
Long-form articles on Medium and The IT Hustle with real analysis, not summaries.
YouTube content and short-form clips covering demos, stories, and cultural takes.
Audio episodes that go deeper on topics that deserve more than a hot take.
Every build-an-audience playbook skips the part where they tell you who already had one. Distribution is built on privilege or pain. And most of the time, both.
I incorporated in Delaware. The bill came: $42,448. For an inactive company with zero revenue. Here's the fix nobody told me about — and how I got it down to $659.
0.7% of startups get VC funding. 75% of those still fail. Healthcare AI missed 52% of medical emergencies in testing and nobody in the pitch meeting cared. Someone has to build things that actually work.
Three companies. Three external blockers. A visa process, an overdue franchise tax, and Google deciding 28 working tools aren't 'enough content.' Quicksand doesn't care how hard you fight.
The bottleneck was never the code. It was always 'I can't stop building the thing long enough to ship it.' AI made this worse — now I can avoid shipping at four times the speed.
AI hallucinations are a real problem. Not 'sometimes wrong' — structurally wrong, with a confident voice and sources it invented. And the bureaucracy? Still there. Still slow. Still doesn't care.
Brand over novelty is the game. Ship and find out. An MVP is one simple feature, end-to-end, that provides value — not the infrastructure for the second feature you might want later.
AI produces confident, coherent, wrong output the same way it produces correct output. No blush, no disclaimer — just the answer, presented as truth. Here's how to not get burned.
So, you want to be an entrepreneur in 2026. The world is on fire and people are telling you the sky is falling — only this time it really is falling. And it's never been easier to become filthy stinking rich. Both sentences are true.
Compilers have always translated human intent into machine execution. LLMs do the same thing at a higher level of abstraction. We've been here before. We know how this ends.
Building AI harnesses is just software architecture with worse documentation and higher stakes. And most of the people doing it have never designed a system that needs to survive production.
Anthropic's partnership exclusions read less like competitive strategy and more like a cultural statement about who belongs in the AI future they're building. IBM noticed.
When the AI writes the code and you review it, you've become QA. This isn't a downgrade — unless you were already bad at QA, which, statistically, you were.
You specify the requirements upfront, hand them to the system, and hope the output matches what you actually wanted. We tried this in 1970. The industry spent 30 years learning it doesn't work.