White Space Signal
Opportunity decision intelligence for what to build and buy as AI reshapes the economy.
AI & Machine Learning·Analytics·Productivity
What is White Space Signal?
White Space Signal is an opportunity intelligence platform designed for serious operators, investors, and builders deciding what to build and what types of businesses to buy as artificial intelligence transforms the economic landscape. It helps users discover where economic value is moving before recognition and competition catch up by evaluating commercial positions, market bottlenecks, and defensibility.
The platform is built for individuals and teams committing time, capital, and effort who need evidence-backed intelligence rather than speculative startup ideas. It addresses the reality that as AI makes certain tasks cheaper and more abundant, value shifts toward complementary layers such as release assurance, compatibility testing, operational control, trusted evidence, and physical execution.
Unlike traditional market research, White Space Signal focuses specifically on AI defensibility and long-term value creation. It evaluates whether a business or opportunity will thrive or degrade as AI becomes more capable over a five-year horizon, helping users identify scarce layers that become increasingly necessary as broader AI adoption succeeds.
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FounderPlaybooks.
What other founders did to grow.
2722 dispatches from hundreds of founders, pulled from the week's best podcasts.
We have our own in-house platform called Ivory that allows us to manage all these apps at scale — the same codebase, same connections to analytics and advertising platforms — which is imperative when you're managing a lot of different products.
Shared infrastructure across a portfolio removes the overhead of scaling individual apps
Without shared infrastructure, each acquired app becomes a separate engineering silo with its own analytics integrations, monetisation wiring, and reporting. Maple Media's Ivory platform standardises all of that so every app speaks the same metrics language from day one. This is the operational moat that makes running 37 apps with one team viable.
I had zero marketing. I just submitted it to the App Store. And people were finding it and paying for it — people I'd never talked to, never told about the app. That's when I knew the product had something.
The clearest PMF signal: strangers paying without you ever talking to them
Duffett submitted Shot Pattern without a launch campaign, email list, or social media push. Organic downloads followed by paid conversions from strangers — people who found the app through App Store search and chose to pay — told him the product solved a real problem at a price people accepted. He contrasts this with a previous app that required constant persuasion to convert anyone, which he now recognises as an absence of product-market fit.
There's a play for whatever you're stuck on.
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