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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
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revenue verified
  1. 1

    Stella

    #6 overall · Consumer apps

    A 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.

    Self-reported$300K MRR within two months of launch (founder interview)source

    Full entry and sourcesVisit App Store

  2. 2

    Vaultaire

    #13 overall · Consumer apps

    A 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

    Full entry and sourcesVisit vaultaire.app

  3. 3

    Payout

    #16 overall · Consumer apps

    Finds 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

    Full entry and sourcesVisit trypayout.app

  4. 4

    ToneAdapt

    #23 overall · Consumer apps

    Tells 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

    Full entry and sourcesVisit toneadapt.com

  5. 5

    Snag

    #25 overall · Consumer apps

    iOS 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

    Full entry and sourcesVisit snagapp.com

  6. 6

    Gift My Book

    #30 overall · Consumer apps

    Answer 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

    Full entry and sourcesVisit giftmybook.com

  7. 7

    Plinq

    #36 overall · Consumer apps

    A 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

    Full entry and sourcesVisit plinq.com.br

  8. 8

    Garmenta

    #49 overall · Consumer apps

    Book laundry, dry cleaning, tailoring and shoe care from one platform.

    How it was built: The builder says it was "fully built with Claude Code".

    Full entry and sourcesVisit getgarmenta.com

  9. 9

    Mayan Calendar

    #51 overall · Consumer apps

    Traditional Maya and Dreamspell calendar calculations with AI reports.

    How it was built: A solo developer used Codex to research, design, test and launch it.

    Full entry and sourcesVisit mayancalendar.xyz

  10. 10

    Seismap Almaty

    #53 overall · Consumer apps

    A 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.

    Full entry and sourcesVisit seismap-almaty.lovable.app

  11. 11

    Teed Feed

    #56 overall · Consumer apps

    Turn any set of Telegram channels into one clean, unified feed.

    How it was built: Built with Claude Code.

    Full entry and sourcesVisit teedfeed.com

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