The gap between something emerging and something mattering used to be measured in years. Now it's measured in weeks. Most analysis still operates on the old timescale.
NOOPS tracks the signals that move markets, identifies the theses that explain them, and delivers analysis at the speed the transformation is actually happening.
Get started free Learn moreInventor of VRML. Columnist for The Register. One of Australia's most recognised voices on emerging technology. Three decades at the intersection of technology, culture, and the market forces that connect them.
Full bio →Three decades in web technology. Founder of Web Directions. Publisher of practitioner analysis on the AI transformation at webdirections.org. He builds with these tools daily — that's the difference.
Full bio →In the 1990s, marketing agencies hired "coolhunters" — people embedded in subcultures who could spot emerging trends before they hit the mainstream. The AI transformation needs the same thing, but the stakes are higher and the timescale is compressed.
This isn't about cool. It's about seeing the signal in the noise while the signal is still actionable. A new repo appears. Token flows shift on OpenRouter. A company quietly hires a hundred ML engineers. Each of these is a data point. Most people see them in isolation, or see them too late. We connect them to theses and track whether those theses hold.
The old rule in markets was that being early is the same as being wrong. That rule assumed a slow diffusion curve — years between emergence and consequence, decades between invention and impact. The diffusion curve has changed.
DeepSeek went from paper to market shock in weeks. MCP went from spec to universal standard in months. OpenClaw went from a repo to a platform in a quarter. The window between spotting a signal and the market pricing it in has narrowed to the point where conventional-speed analysis arrives after it's already too late.
If your analysis shows up after the window closes, it's not analysis. It's a history lesson.
We've spent over fourteen months doing this for free. Thousands of links shared, interpreted, connected — daily. Fortnightly deep-dive walks recorded and processed. A combined six decades of building with technology, not just writing about it.
That practitioner angle is the thing that can't be replicated. We see the cracks in a platform's model because we hit them in production. We see what an emerging tool actually does because we're using it, not reading the press release.
One more thing: NOOPS is produced using the AI-augmented workflow we analyse. Our conversations become structured analysis at a speed no traditional operation can match. The production pipeline is itself a proof of thesis. No other research service can make that claim without proving our point.
The AI transformation doesn't move at one tempo. Neither do we. Each layer of NOOPS matches a different analytical timescale — from what's emerging right now to what it means for the next year.
Short, opinionated, interpretive. The repos gaining traction. The token flows shifting. The hires that tell you where a company is really headed. Not news — signal. The things that matter before anyone knows they matter.
One clear thesis, well argued, undeniable. Each one a stepping stone — read it and you can't unread it. "The Bitter Lesson Is the New Moore's Law." "Processes Are Harnesses for Humans." The ideas that reframe what you thought you understood.
When a signal resolves into a trend, we write the complete analysis. Full evidence, full working, what we got right, what we missed. The kind of research note that institutional analysts charge five figures for, grounded in practitioner experience they can't replicate.
Twelve people. One dinner. A curated gathering of practitioners, founders, and investors whose own signal-processing sharpens ours — and vice versa. The conversation you wish you were having. Available to premium subscribers.
Not just words. A live instrument panel showing what we're tracking and why. The signals feeding our theses, updated in real time. See what we see.
Start free. Go deeper when you're ready.