@quazmoz3AI Engineer, Reyes Holdings
All of my apps are built purely with AI
I have 36 Android and Wear OS apps live on Google Play, and AI wrote the code for all of them. My part is picking the problem, writing the spec, testing, and rejecting a lot of output.
Most are small Wear OS utilities: taking a phone screenshot from your watch, medication reminders, a tennis scorekeeper, a barometer. Most Pro tiers are a one-time purchase, not a subscription.
For anyone else shipping AI-built apps: what's been harder for you, getting the build right or getting anyone to notice it?
Comments5
Wear OS is a smart niche since the store has far less competition than phone apps. With one-time Pro purchases across 36 apps, do you see the revenue come from a few utilities like the screenshot tool, or is it spread fairly evenly?
Some apps have never gotten a purchase and some carry the team. Most of the income comes from maybe 10 apps with another 15 getting a few dollars per month. The rest barely get purchases or never get seen.
Getting noticed, by a wide margin, at least for us. With a portfolio like yours a few things compound: (1) treat the Play listing as the landing page, put the exact phrase people search ("wear os screenshot", "tennis score watch") in the title and short description, and localize listings for your top countries, it's cheap with AI and each locale is a separate search surface; (2) give every app its own small web page that targets that same phrase and links to the store, Google often ranks a plain page for long tail queries where the store listing doesn't show; (3) add a "more apps from me" screen inside each app, with 36 apps your own install base is your best ad channel; (4) one hub page comparing all your Wear OS utilities tends to pick up links and AI assistant mentions over time. Are most installs coming from Play search or from somewhere else?
Play search is by far the biggest driver of traffic, but Reddit and social media contribute slightly too.
5 comments
Wear OS is a smart niche since the store has far less competition than phone apps. With one-time Pro purchases across 36 apps, do you see the revenue come from a few utilities like the screenshot tool, or is it spread fairly evenly?
Some apps have never gotten a purchase and some carry the team. Most of the income comes from maybe 10 apps with another 15 getting a few dollars per month. The rest barely get purchases or never get seen.
Getting noticed, by a wide margin, at least for us. With a portfolio like yours a few things compound: (1) treat the Play listing as the landing page, put the exact phrase people search ("wear os screenshot", "tennis score watch") in the title and short description, and localize listings for your top countries, it's cheap with AI and each locale is a separate search surface; (2) give every app its own small web page that targets that same phrase and links to the store, Google often ranks a plain page for long tail queries where the store listing doesn't show; (3) add a "more apps from me" screen inside each app, with 36 apps your own install base is your best ad channel; (4) one hub page comparing all your Wear OS utilities tends to pick up links and AI assistant mentions over time. Are most installs coming from Play search or from somewhere else?
Play search is by far the biggest driver of traffic, but Reddit and social media contribute slightly too.
Makes sense, then Play search is where the leverage is. With 36 apps you can treat it like a small SEO portfolio: pick the 10 apps that already earn, find the 3-5 phrases each one actually ranks for (Play Console, search terms report), and test one change at a time on those listings: phrase in the title, first line of the short description, screenshot captions. Ratings velocity matters a lot on Play too, so a gentle in-app review prompt after a successful use (not on first launch) usually moves rankings more than another feature. For apps that never get seen, merging two weak ones into one stronger listing sometimes beats keeping both.