Freelance Mobile Designers in PakistanFreelance Mobile Designers in Pakistan
Top 1% UI/UX & Web Designer
$25k+
Earned
10x
Hired
5.0
Rating
84
Followers
Top 1% UI/UX & Web Designer
Flutter & Angular Dev Team | Mobile, Web & 3D
$100k+
Earned
7x
Hired
5.0
Rating
44
Followers
Flutter & Angular Dev Team | Mobile, Web & 3D
Cover image for ๐Ÿ“Œ Case Study: QR Scan
๐Ÿ“Œ Case Study: QR Scan & Gen โ€” QR Code Generator & Scanner Category: Utilities Platform: iOS & iPadOS (iPhone, iPad, Mac via Apple Silicon, Apple Vision Pro) Project Type: Utility App Live: qr-scanngen.web.app (http://qr-scanngen.web.app) ยท App Store (https://apps.apple.com/pk/app/qr-scan-gen/id6746228460) Project Overview QR Scan & Gen (https://qr-scanngen.web.app) is a clean, all-in-one QR code utility built for both personal and professional use. It handles generation, scanning, history management, and sharing in a single app โ€” rated 5 stars on the App Store with users calling it fast, accurate, and the best QR tool they've tried. Built and published by Cuboid, it runs on iPhone, iPad, macOS, and Apple Vision Pro from iOS 12 upward. The Problem The QR code space is cluttered with apps that do one thing adequately while burying the rest behind paywalls, ads, or confusing interfaces. Scanners that can't generate. Generators that don't save history. Tools that require an account just to create a Wi-Fi code. For something that should take five seconds, most QR apps make it harder than it needs to be. There was clear room for a utility that handled the full QR workflow โ€” create, scan, save, share โ€” in one place, cleanly, without unnecessary friction. Our Solution QR Scan & Gen was designed around a single standard: every core action should be reachable in under two taps. Generate a code, scan one, retrieve a past code from history, share it โ€” all without switching apps, creating accounts, or navigating menus that exist to justify a subscription. The app works fully offline for code generation, which matters when you're setting up a product label, a printed menu, or an event badge without reliable connectivity. Key Features & Capabilities QR Code Generation โ€” Create codes for URLs, plain text, email addresses, phone numbers, Wi-Fi credentials, calendar events, social media profiles, app download links, and more. The range of supported content types covers personal, professional, and marketing use cases without needing a separate tool for each. Instant Scanning โ€” Camera-based scanning that's fast and accurate in low light and across both printed and digital surfaces. Gallery scanning is supported for codes in saved images, screenshots, or documents. Smart History Log โ€” Every scan and every generated code is automatically saved in a chronological log. Revisit, reuse, or share any past code without recreating it from scratch. Offline Generation โ€” Codes are generated entirely on-device. No internet connection required, no data sent to external servers during creation. Customizable Experience โ€” Haptic feedback, sound, and camera permissions can all be toggled per user preference. The app adapts to how each person wants to use it rather than enforcing a single interaction model. Privacy First โ€” User-generated content and scan data are handled on-device. No unnecessary data collection, no advertising profiling tied to content. Who It's For Business owners creating QR codes for menus, product packaging, or contact sharing. Event organizers generating codes for registration and access. Students and educators sharing links, resources, and schedules. Anyone who needs to scan a code accurately and reliably without fighting the app to do it. The 4+ age rating and iOS 12 compatibility reflect the deliberate accessibility of the design โ€” this is a tool built for everyone, not a feature showcase for power users. Final Outcome QR Scan & Gen earns its place on a home screen by doing exactly what it promises โ€” instantly, cleanly, every time. It demonstrates Cuboid's ability to ship polished utility apps that compete on quality in a saturated category, without overcomplicating what should be a simple tool.
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Cover image for ๐Ÿ“Œ Case Study: Carpool โ€”
๐Ÿ“Œ Case Study: Carpool โ€” Shared Rides & Smart Travel Platform Category: Travel ยท Mobility & Transportation Platform: iOS (iPhone, Mac via Apple Silicon, Apple Vision Pro) Project Type: Peer-to-Peer Ride Sharing App Live: carpool4u.pk (http://carpool4u.pk) ยท App Store (https://apps.apple.com/pk/app/carpool-shared-rides/id6757470255) Project Overview Carpool (https://carpool4u.pk) is a peer-to-peer ride sharing platform that connects car owners with empty seats to travelers heading in the same direction. Built and published by Cuboid, it's not a taxi service or a ride-hailing clone โ€” it's a purpose-built platform for planned, comfortable shared travel that makes better use of cars already on the road. The Problem Every day, millions of cars move through cities and between them carrying one person when they could carry four. Existing transport options for intercity or planned commute travel in markets like Pakistan are either unreliable, uncomfortable, or overcrowded. Ride-hailing apps serve spontaneous short trips but aren't built for scheduled, longer-distance shared travel between real people. The gap wasn't in technology โ€” it was in a platform designed specifically for intentional, planned carpooling that balanced the needs of drivers and passengers equally. Our Solution Carpool was built from the ground up for planned travel โ€” not last-minute dispatch. Drivers post routes and available seats in advance. Passengers browse, book, and coordinate through the app. Everything from matching to messaging to payment happens within a single, clean interface. The platform is deliberately positioned around efficiency and trust, not commerce. Drivers aren't running a business โ€” they're sharing a journey and offsetting costs. That distinction shapes every product decision, from how pricing works to how the community is framed. Key Features & Capabilities Ride Matching โ€” Drivers post their route, timing, and available seats. Passengers find rides heading their direction and request to join. The matching logic prioritizes route overlap and scheduling compatibility. Advance Scheduling โ€” Unlike ride-hailing, Carpool is built for planned travel. Both drivers and passengers confirm arrangements in advance, reducing uncertainty on both sides. Verified Drivers โ€” Car owners go through ID and license verification before offering rides. This isn't optional โ€” it's the baseline for being listed on the platform. Ratings & Reviews โ€” Both drivers and passengers are rated after each journey, creating a transparent reputation layer that compounds over time. Female-Only Ride Preferences โ€” Women can filter for rides offered by verified female drivers, addressing a genuine safety concern in the target market without making it a secondary feature. In-App Coordination โ€” Messaging, booking confirmation, and payment all happen within the app. No WhatsApp threads, no cash awkwardness, no coordination outside the platform. Design & Experience Philosophy Carpool's UX is built around reducing friction at every decision point โ€” finding a ride, evaluating a driver, confirming a booking, and traveling with confidence. The interface is clean and direct, designed for users across a wide range of technical comfort levels. Safety cues โ€” verification badges, ratings, female-only filters โ€” are surfaced visually rather than buried in settings. The product also communicates a clear environmental and social purpose: fewer cars on the road, lower fuel consumption, more efficient use of existing resources. That narrative is woven into the onboarding and marketing, not just an afterthought in the app description. Final Outcome Carpool demonstrates Cuboid's ability to build two-sided marketplace apps that handle trust, verification, real-time coordination, and payments โ€” end to end. It's a product with a genuine social case behind it, built to a standard that holds up across iOS, macOS, and visionOS.
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63
Cover image for ๐Ÿ“Œ Case Study: iPredict โ€”
๐Ÿ“Œ Case Study: iPredict โ€” Social Prediction & Forecasting Platform Category: Social Networking ยท Prediction Markets Platform: iOS & iPadOS (iPhone, iPad, Mac via Apple Silicon, Apple Vision Pro) Project Type: Social Media & Community Forecasting App App Store: Download on the App Store (https://apps.apple.com/pk/app/ipredict-predict-future/id6746239008) Project Overview iPredict (https://apps.apple.com/pk/app/ipredict-predict-future/id6746239008) is a social prediction platform where opinions become trackable forecasts. Built and published by Cuboid, the app sits at the intersection of social media and prediction markets โ€” giving users a public stage to call outcomes on politics, crypto, sports, finance, tech, and culture, then backing those calls with a reputation score built entirely on accuracy. The experience takes familiar social mechanics โ€” stories, feeds, profiles, following, leaderboards โ€” and rewires them around one question: were you right? The Problem Social media rewards volume and virality, not accuracy. Anyone can post a hot take, but there's no accountability attached โ€” no record of whether the prediction came true, no score, no incentive to think before posting. At the same time, prediction market platforms that do track accuracy tend to feel clinical, data-heavy, and inaccessible to anyone outside finance or trading communities. There was a clear gap for a platform that made forecasting feel social, visual, and engaging โ€” without stripping out the accountability layer that makes it meaningful. Our Solution iPredict wraps a structured prediction engine inside a social experience that feels immediately familiar. The feed, the stories format, the profiles and follower counts โ€” all of it is designed to lower the barrier to entry. But underneath, every prediction is a timestamped, trackable statement tied to a real-world outcome and a measurable accuracy score. Users don't just share opinions. They go on record. Key Features & Capabilities Make Predictions โ€” Post a forecast in a few taps. Set the expected outcome, define a timeframe, and add context to invite discussion. The platform handles tracking automatically from there. Prediction Stories โ€” Create visual, story-format posts explaining the reasoning behind a prediction. The Instagram-style format makes forecasting content shareable and engaging, not just transactional. Prediction Statistics โ€” Every user gets a running accuracy profile โ€” win rates, top-performing categories, historical track record. Reputation is earned, not assumed. Challenges & Competitions โ€” Topic-specific prediction contests where users compete on accuracy within a defined window. Leaderboard rankings create competitive pressure and community engagement simultaneously. Social Layer โ€” Private chat, prediction thread discussions, follower graphs, and profile pages make iPredict a full social network, not just a data tool. Follow forecasters whose accuracy you respect. Get followed for being right. Advanced Discovery โ€” Search predictions by category, keyword, accuracy, or trending status. Surface the most reliable voices on any given topic. Secure Social Login โ€” Google, Facebook, Apple ID, and email sign-in, with a clean onboarding flow that gets users to their first prediction in under two minutes. Experience Design Philosophy iPredict was designed to feel native to the social media habits users already have. The stories format, feed architecture, and profile structure are all intentionally familiar โ€” the cognitive load of learning a new platform is removed so the focus stays on the predictions themselves. The tension the product had to resolve was between accessibility and credibility. Too casual and it's just another opinion app. Too data-heavy and it loses the social energy. iPredict sits precisely at that intersection โ€” easy to participate in, meaningful to win. Who It's For The platform is deliberately broad in its audience design. Political analysts, crypto traders, sports fans, market watchers, and culturally curious users all have a home on iPredict โ€” because the common thread isn't expertise, it's the willingness to go on record about what happens next. Final Outcome iPredict demonstrates Cuboid's capability in building social platforms from the ground up โ€” combining community mechanics, gamification, real-time data tracking, and a UX that competes with established consumer social apps. It's a product that introduces a genuinely new social dynamic: your reputation isn't what you say, it's whether you were right.
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59
Designing Websites & Apps That Convert, Not Just Look Good
$1k+
Earned
3x
Hired
4.8
Rating
114
Followers
Designing Websites & Apps That Convert, Not Just Look Good
CRO & Web Design Expert for Growing Brands and Top Creators
5.0
Rating
29
Followers
CRO & Web Design Expert for Growing Brands and Top Creators
UI/UX Designer | Mobile Apps & SaaS Dashboards in Figma
2x
Hired
5.0
Rating
25
Followers
UI/UX Designer | Mobile Apps & SaaS Dashboards in Figma
SaaS UX & UI Designer | Figma, Webflow, Framer
5.0
Rating
19
Followers
SaaS UX & UI Designer | Figma, Webflow, Framer