Vibe-Coding Mobile Apps Struggle to Find User Adoption
Although numerous vibe coding startups have achieved unicorn status with billion-dollar valuations, AI-assisted coding has yet to make significant inroads on mobile devices. Despite the growing number of apps offering vibe coding tools on mobile platforms, none have garnered substantial download numbers, and very few are generating meaningful revenue.
An analysis of global app store trends by app intelligence firm Appfigures reveals that only a small selection of mobile apps providing vibe coding tools have attracted any downloads, with even fewer managing to produce revenue.
The most prominent example, Instance: AI App Builder, has reached just 16,000 downloads with approximately $1,000 in consumer spending. The next largest, Vibe Studio, has achieved only 4,000 downloads and has not earned any income.

Screenshot from Appfigures This landscape could still shift, of course. The market is nascent, and vibe coding applications continue to evolve and resolve technical issues.
New entrants in this space are consistently emerging. This year, a startup named Vibecode launched with $9.4 million in seed funding from Reddit co-founder Alexis Ohanian’s venture firm, Seven Seven Six. Its service enables users to build mobile applications using AI directly within its iOS app. Since Vibecode is so new, Appfigures has not yet collected performance data for it.
For the time being, most individuals experimenting with vibe coding technology are doing so on desktop computers. However, vibe coding does maintain another form of presence on mobile devices: it is increasingly powering the development of existing mobile applications.
For example, RevenueCat, a subscription platform provider now utilized by over 50,000 apps, reports that it handles in-app purchases for more than 50% of all AI-built iOS apps available today.
The company informed TechCrunch that the proportion of new signups originating from an AI assistant or platform—meaning an AI chatbot recommended its service—jumped to over 35% in the second quarter of this year, a significant increase from under 5% during the same period last year.
RevenueCat, which is already employed by nearly half of all monetized mobile apps, observes that vibe coders are leveraging its service to automatically set up subscriptions using tools like Cursor and Claude Code via its RevenueCat MCP server. This allows developers to swiftly create subscription models and test various plans and features.
While interest in vibe coding is undoubtedly growing, the general consensus is that the technology is not yet mature enough for widespread, mainstream adoption.
TechCrunch recently interviewed developers working with AI-generated code, who indicated that the technology still requires substantial refinement. A separate survey from Fastly found that approximately 95% of the nearly 800 developers surveyed reported needing to dedicate extra time to correct issues in AI-generated code.
Despite these challenges, user demand persists. A 2025 Stack Overflow survey indicated that 84% of respondents are currently using or planning to use AI tools in their development workflow, up from 76% the previous year. Another survey conducted this summer by The Information found that 75% of respondents had at least experimented with vibe coding. A May 2025 study by the software intelligence platform Jellyfish, as reported by Business Insider, revealed that 90% of developers had integrated AI into their work, a notable rise from 61% the year before.
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Although numerous vibe coding startups have achieved unicorn status with billion-dollar valuations, AI-assisted coding has yet to make significant inroads on mobile devices. Despite the growing number of apps offering vibe coding tools on mobile platforms, none have garnered substantial download numbers, and very few are generating meaningful revenue.
An analysis of global app store trends by app intelligence firm Appfigures reveals that only a small selection of mobile apps providing vibe coding tools have attracted any downloads, with even fewer managing to produce revenue.
The most prominent example, Instance: AI App Builder, has reached just 16,000 downloads with approximately $1,000 in consumer spending. The next largest, Vibe Studio, has achieved only 4,000 downloads and has not earned any income.

This landscape could still shift, of course. The market is nascent, and vibe coding applications continue to evolve and resolve technical issues.
New entrants in this space are consistently emerging. This year, a startup named Vibecode launched with $9.4 million in seed funding from Reddit co-founder Alexis Ohanian’s venture firm, Seven Seven Six. Its service enables users to build mobile applications using AI directly within its iOS app. Since Vibecode is so new, Appfigures has not yet collected performance data for it.
For the time being, most individuals experimenting with vibe coding technology are doing so on desktop computers. However, vibe coding does maintain another form of presence on mobile devices: it is increasingly powering the development of existing mobile applications.
For example, RevenueCat, a subscription platform provider now utilized by over 50,000 apps, reports that it handles in-app purchases for more than 50% of all AI-built iOS apps available today.
The company informed TechCrunch that the proportion of new signups originating from an AI assistant or platform—meaning an AI chatbot recommended its service—jumped to over 35% in the second quarter of this year, a significant increase from under 5% during the same period last year.
RevenueCat, which is already employed by nearly half of all monetized mobile apps, observes that vibe coders are leveraging its service to automatically set up subscriptions using tools like Cursor and Claude Code via its RevenueCat MCP server. This allows developers to swiftly create subscription models and test various plans and features.
While interest in vibe coding is undoubtedly growing, the general consensus is that the technology is not yet mature enough for widespread, mainstream adoption.
TechCrunch recently interviewed developers working with AI-generated code, who indicated that the technology still requires substantial refinement. A separate survey from Fastly found that approximately 95% of the nearly 800 developers surveyed reported needing to dedicate extra time to correct issues in AI-generated code.
Despite these challenges, user demand persists. A 2025 Stack Overflow survey indicated that 84% of respondents are currently using or planning to use AI tools in their development workflow, up from 76% the previous year. Another survey conducted this summer by The Information found that 75% of respondents had at least experimented with vibe coding. A May 2025 study by the software intelligence platform Jellyfish, as reported by Business Insider, revealed that 90% of developers had integrated AI into their work, a notable rise from 61% the year before.
Barry Diller: Trust in Sam Altman irrelevant as AGI nears
Barry Diller, the billionaire media titan, does not believe OpenAI CEO Sam Altman is untrustworthy, despite recent reports suggesting otherwise. Speaking at the Wall Street Journal's "Future of Everything" conference this week, Diller defended Altman
YouTube expands AI deepfake detection to politicians, government officials, and journalists
On Tuesday, YouTube announced it is expanding its deepfake detection technology to a select group of government officials, political candidates, and journalists. The tool identifies AI-generated likenesses and lets pilot participants request the remo





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