The strategy of taking an existing, popular app category (e.g., calorie counters, plant identifiers, text-to-speech) and integrating AI to significantly enhance its functionality and value, thereby capturing existing demand and creating new opportunities.
Opportunity7.0
Why now
Maturation and accessibility of AI APIs (LLMs, image recognition) allow for transformative improvements to existing app categories.
Market gap
Existing popular apps often lack advanced AI capabilities that could significantly improve user experience and outcomes.
Business fit
Type
Mobile App, SaaS, AI
Target
Users of existing popular apps who desire more advanced, AI-powered functionality.
Revenue
High (examples given make millions)
Founder
Founders who can identify existing market needs and effectively integrate AI for significant value add.
Scores
Problem
8.0
Feasibility
8.0
Why now
9.0
Go-to-market
8.0
Confidence
10.0
Proof signals
AI calorie counters like 'K' AI making $400k/month.
AI plant identifier 'PictureThis' making $7M/month.
AI text-to-speech apps gaining organic traction.
Keyword demand
Keyword
Volume
Growth
AI calorie counter
1,900/mo
-21% YoY
AI plant identifier
880/mo
+30% YoY
AI text to speech app
170/mo
-21% YoY
US English Google Ads volume from DataForSEO; growth uses returned monthly search history.
Source episode
How to build a $400k/mo AI App using ASO, Organic Growth, and Paid Ads4:23
what are what are existing popular apps and then how do you kind of add an AI Sizzle to it