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    Hospitality / Marketing case study: mvp delivered in 3 weeks , enabling early testing with target customers with SelectCursor
    Hospitality / Marketing

    MVP delivered in 3 weeks , enabling early testing with target customers

    3 wks MVP delivery time10x Faster than traditional agenciesAI Powered video workflows

    The Challenge

    Hospitality businesses face a content bottleneck:

    The founders of Dunya AI wanted to validate an MVP that would:

    High production costs โ€” agencies charge thousands per video

    Slow turnaround โ€” campaigns miss key seasonal opportunities

    Consistency issues โ€” logos, colors, and brand voice often get lost

    Our Approach

    Our team partnered with Dunya AI to design and build the first version of their platform โ€” fast.

    Timeline: Delivered a functional MVP in just 3 weeks (mid-August โ†’ early September)

    Tech stack: Django Ninja (backend), React Native (mobile), AWS (cloud infrastructure)

    Hotel owners can request and discuss video content in real-time

    Seamless communication between clients and creators

    The Outcome

    MVP delivered in 3 weeks , enabling early testing with target customers

    Chat-based request flow streamlined collaboration between hotel owners and the platform

    Built a strong foundation for the next phase: end-to-end AI video generation inside the app

    Positioned Dunya AI to attract early adopters and investor attention by demonstrating speed along with technical feasibility and market fit

    Technologies Used

    React
    Django
    Stream
    RevenueCat
    AWS
    React Native
    AI
    Django Ninja

    Timeline

    • Requirements and architectureDiscovery
    • Core feature implementationDevelopment
    • Production deploymentLaunch

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