Strategy

Your ‘Target Audience’ Is a Lie. Here’s What Actually Sells.

Most companies target ‘audiences’โ€”fake personas that don’t buy anything. The real trigger is the scene: a specific time, space, state, and relationship that ignites a need. The FIRE model (Find, Identify, Resolve, Embed) shows how to discover these moments and turn them into brand assets. The biggest opportunities aren’t new scenesโ€”they’re old, painful moments nobody has bothered to name.

Copyright Isn’t a Shieldโ€”It’s a Weapon: How a Dead Music App Is Beating Suno at Its Own Game

Five years after its death, a beloved music app returned as an AI called HappyShrimpโ€”and it’s beating Suno not with better tech, but with copyright compliance and cultural empathy. The AI music war is shifting from generation quality to workflow moats, and the latecomer is using regulation as a weapon.

The $20 Million Domain That’s Already Lying to You

Router.com promises to route to ‘every model,’ but doesn’t support most mainstream ones. This analysis reveals how Ramp’s clever timing and expensive domain mask a product that’s already losing developer trust. For anyone evaluating AI routing services, the lesson is clear: look past the hype and verify the actual model support.

Your Biggest Customer Is Probably Your Worst One

Most manufacturers chase the biggest orders, assuming volume equals success. It doesn’t. The biggest buyers often carry the most hidden costs โ€” spec changes, pricing leverage, production chaos. A true quality buyer is defined not by order size but by operational alignment, clean communication, and repeatable value. Finding them isn’t about generating more leads. It’s about positioning and filtering: deciding what you’ll refuse and signaling exactly who you are.

Google’s AI Obsession Is Killing Its Golden Goose

We all assume AI is Google’s inevitable next growth engine. But pouring billions into AI capex might be a catastrophic blunder. By replacing blue links with AI answers, Google is cannibalizing the exact search ad cash cow that funds its future. When the AI gives the answer, nobody clicks the ad.

AI Labs Are Lying About Their Moat. OpenCode Just Proved It.

OpenCode’s reproduction of DeepSeek’s pricing didn’t just expose the true cost of training AI modelsโ€”it shattered the illusion of proprietary moats. The AI arms race is rapidly moving toward the commoditization of intelligence, where real value lies not in building models, but in distribution and application.