Category · Consumer apps
Consumer apps built with AI
11 live consumer apps on MissumAI were built with AI coding tools, according to the sources linked on each entry. 7 of them show public revenue. The most-named tool in this category is Claude Code (7 of 11). The highest-ranked is Stella. Each entry shows how it was built and links to every source.
- projects listed
- 11
- projects listed
- with public revenue
- 7
- with public revenue
- revenue verified
- 0
- revenue verified
AI tools used in this category
- Claude Code · 7
- Cursor · 3
- Lovable · 2
- OpenAI Codex · 2
- Base44 · 1
- Claude · 1
- Google AI Studio · 1
- 1
Stella
#6 overall · Consumer appsA manifestation app that turns your goals into visualisations and daily affirmations.
How it was built: Built with Claude Code, Claude and Google AI Studio; she says the first version took about two days.
- Claude Code
- Claude
- Google AI Studio
Self-reported$300K MRR within two months of launch (founder interview)source
- 2
Vaultaire
#13 overall · Consumer appsA private, end-to-end encrypted photo vault for iPhone with no account needed.
How it was built: Turek, a career engineer new to iOS, built the first version in about three weeks mostly by prompting coding agents.
Self-reported$41,425 in gross App Store sales in August 2026, up from $26,384 in Julysource
- 3
Payout
#16 overall · Consumer appsFinds class-action settlements you may be owed and helps you file a claim in minutes.
How it was built: The team says the app "was entirely written using Claude Code and Cursor, not one line of code written by hand", with v1 shipped in 10 days.
Self-reported$1,003,227 ARR (about $83.6K MRR) nine months after launch, per the founders' own accountsource
- 4
ToneAdapt
#23 overall · Consumer appsTells guitarists exactly how to set their own amp and pedals to sound like any song.
How it was built: His first app ever; he says every line was vibe-coded with Cursor and Claude Code, with V1 built over a Thanksgiving break.
Dashboard shownOver $25K in four weeks across web and mobile (founder interview)source
- 5
Snag
#25 overall · Consumer appsiOS app for finding free stuff near you.
How it was built: Chen says he uses Cursor as his IDE and "Cloud Code Max to code pretty much the entire thing".
Dashboard shownAround $30K MRR and 100,000+ users about four months after launch (Superwall dashboard shown in interview)source
- 6
Gift My Book
#30 overall · Consumer appsAnswer a few questions and get a printed, AI-written comedy book starring your friend.
How it was built: Built end-to-end in about one week on Base44, after a first attempt with hired developers dragged on for months.
- Base44
Self-reportedClose to $1M annualised revenue about three months after launchsource
- 7
Plinq
#36 overall · Consumer appsA Brazilian women's safety app with instant public-record background checks.
How it was built: Founder Sabrine Matos, a non-technical growth marketer, built the site, app, backend workflows and records integrations on Lovable.
Self-reportedR$2.2M ARR (about US$456K) and 10,000+ users three months insource
- 8
Garmenta
#49 overall · Consumer appsBook laundry, dry cleaning, tailoring and shoe care from one platform.
How it was built: The builder says it was "fully built with Claude Code".
- 9
Mayan Calendar
#51 overall · Consumer appsTraditional Maya and Dreamspell calendar calculations with AI reports.
How it was built: A solo developer used Codex to research, design, test and launch it.
- 10
Seismap Almaty
#53 overall · Consumer appsA live map of earthquakes around Almaty, with plain-language safety tips.
How it was built: Built with Lovable on top of USGS real-time data and OpenStreetMap.
- 11
Teed Feed
#56 overall · Consumer appsTurn any set of Telegram channels into one clean, unified feed.
How it was built: Built with Claude Code.
Browse other categories
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- Business & B2B · 6
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- Creator tools · 5
- Games · 4
- Health & fitness · 4
- AI agents · 3
- Finance · 3
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