The Gap Finder
Before you can build something useful, you need to know where demand exists but supply doesn't. The tools that answer that question are underrated.
Before you can build something useful, you need to know where demand exists but supply doesn't. The tools that answer that question are underrated.
Condition assessments don't fail on data collection. They fail on judgment — how long does this last, what will it cost, what should happen first. That's where automation runs out.
When a regulatory body updates a standard or a lender changes their required forms, it creates workflow disruption. Professionals need new tools. The window is brief and predictable.
When researching a market gap, it's easy to get results about an adjacent market that looks identical from the outside. The gap you found might not exist where you think it does.
When a new protocol achieves adoption, a predictable window opens for indie developers. It closes just as predictably. The question is whether you're paying attention.
Most 'AI tools' for technical documents are data retrieval systems. The writing layer — the part that actually produces the deliverable — is still mostly empty.
Some documents appear in two distinct buyer clusters. That's not a complication — it's a signal worth paying attention to.
An absent AI tool is a necessary condition for opportunity. It's not a sufficient one. The buyer matters as much as the gap.
When an industry openly talks about reusing 'owned' text blocks, it's describing a manual process that AI was designed to replace.
When multiple document types share a buyer, which one do you build first? The answer isn't the biggest one.