Scout
Data-driven R&D for solo developers.
Scout is a research project exploring how solo developers can systematically discover software opportunities worth building — replacing gut feel and lucky accidents with data-backed signal processing.
What it explores
The problems Scout is trying to solve.
Building in a vacuum
Spending months building something only to discover nobody wants it — or that three competitors launched the same thing last month.
Gut-feel product decisions
Choosing what to build based on personal frustration alone, without any signal about whether the market actually needs it.
Signal overload
There are thousands of feature requests, complaint threads, and market signals scattered across the internet. No human can process them all manually.
Missed timing
Discovering a perfect opportunity six months after the window closed. The signals were there — you just weren't looking in the right places at the right time.
What Scout includes
Signal over noise
Explores how to extract genuine opportunity signals from the vast amount of noise across app stores, forums, social platforms, and review sites.
The workhorse model
Focused on sustainable, solo-dev-friendly products — not unicorn ideas that require teams, enterprise sales, or complex operations.
Validation before commitment
Researching how to validate demand signals before investing months of build time — improving the batting average, not guaranteeing home runs.
Compass, not crystal ball
Scout validates probability, not certainty. Its job is ensuring that when I commit time to build, I'm betting on data, not a hunch.
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"I kept building things based on gut feel — tools that solved my problems but that I had no idea whether anyone else cared about. Meanwhile, there were threads on forums with hundreds of upvotes from people begging for solutions to problems I could actually solve. I wanted to replace lucky accidents with something more systematic."
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