It's goal of mine to get hired to just try to use things and complain about them. I really think @Microsoft should hire me for this. I will accept the title Distinguished Diva.
The question is the trap. you don't find ideas that make money, you find problems people are already paying to fix, badly. those two searches look completely different.
go where people complain. niche subs and support forums where they vent about workflows. when the same complaint shows up 10 times in different words, you've got something. ideas don't make money, solved frustrations do.
what set me aside from it, its that i had opencode installed and regularly give it a try, but between some updates i guess its not showing my chat history. found some people reported that on their github, but honestly im not going to mess with sqlite or whatever specially if its not well documented the fix. Good bye opencode at least for now, al tried grok build cli whatever, i didnt like the tui and grok build (model) couldnt do something in many hours where gpt 5.5 max whatever got done in like 30 mins. also claude opus is super expensive i guess
@olearycrew@kilocode For me the hardest thing for builders is marketing / attracting user to their products so my top 1 is this one:
https://t.co/csnWAEow7o
Honest take a def not sponsored, but I could pick one newsletter and delete everything else, I'll keep @kilocode newsletter. Thank you, great work, I have them all saved.
The laptop hasn't changed in 30 years. NVIDIA just changed it
RTX Spark is their first PC chip ever.
- RTX 5070 level GPU
- 128GB unified memory
- 1 petaflop of local AI
- thin, light, barely throttles unplugged
Your AI agent lives on the machine. 24/7. No cloud.
This is step one of the agentic AI PC, and everyone else is about to copy it.
Two economists just published a mathematical proof that AI will destroy the economy.
Not might. Not could. Will — if nothing changes.
The paper is called "The AI Layoff Trap." Published March 2, 2026. Wharton School, University of Pennsylvania. Boston University. Peer reviewed. Mathematically modeled.
The conclusion is one sentence.
"At the limit, firms automate their way to boundless productivity and zero demand."
An economy that produces everything. And sells it to nobody.
Here is how you get there.
A company fires 500 workers and replaces them with AI. A competitor fires 700 to keep up. Another fires 1,000. Every company is behaving rationally. Every company is following the incentives correctly. And every company is building a trap for itself.
Because the workers who were fired were also customers.
When they lose their jobs faster than the economy can absorb them, they stop spending. Consumer demand falls. Companies respond by cutting costs — which means automating more workers — which means less spending — which means more falling demand — which means more automation.
The loop has no natural exit.
The researchers tested every proposed solution. Universal basic income. Capital income taxes. Worker equity participation. Upskilling programs. Corporate coordination agreements.
Every single one failed in the model.
The only intervention that worked: a Pigouvian automation tax — a per-task levy charged every time a company replaces a human with AI, forcing them to price in the demand they are destroying before they pull the trigger.
No government has implemented this. No major economy is seriously discussing it.
Meanwhile the numbers are already tracking the curve. 100,000 tech workers laid off in 2025. 92,000 more in the first months of 2026. Jack Dorsey fired half of Block's workforce and said publicly: "Within the next year, the majority of companies will reach the same conclusion."
Nobody is doing anything wrong. Companies are following their incentives perfectly. That is exactly the problem.
Rational behavior. At scale. Simultaneously. With no mechanism to stop it.
Two economists built the math. The math leads to one place.
Source: Falk & Tsoukalas · Wharton School + Boston University ·
THE WINNER OF THE ANTHROPIC HACKATHON JUST OPEN SOURCED HIS ENTIRE AI CODING SETUP FOR FREE. 183 AGENT SKILLS, 48 SUB-AGENTS AND 79 READY-MADE COMMANDS.
He spent 10 months on it, won $15K in API credits, then released the whole stack under MIT license.