Originally published on angeo.dev. Full tables, p-values and the sealed plan are there.
Most claims about AI visibility are untestable by design: publish the signals, wait, attribute anything good that happens to the signals.
I wanted a version I could not fudge, so I wrote the ana...
This is a submission for Weekend Challenge: Generosity Edition
I grew up teaching myself to code in Pakistan on hardware that struggled to run
modern dev tools. GPU hours on Lambda Labs cost $0.50–$3/hr. For a student
trying to fine-tune a model or run a training job, that's not ...
The codebase survey was blunt: zero i18n infrastructure, roughly 660 user-facing text nodes across 53 files, a dozen alert dialogs, forty toasts, screen titles scattered across layout files. English was load-bearing everywhere.
The reason to fix it then, rather than "after launch", was the
In every project, someone says it sooner or later: "we have too much technical debt." Everyone agrees. Nobody asks how much.
One day I tried to do the math for real. I learned very little about my code, and a lot about the metaphor.
If my technical debt were a loan, it would have the same structure:
AI subscriptions have quietly become another monthly expense.
One tool for writing.
Another for research.
Another for coding.
Another for image generation.
Another for PDFs.
Before you realize it, you're paying for several AI services every mont...
