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AI Development Specialists. Certified FlutterFlow Experts.
$100k+
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4.7
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154
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AI Development Specialists. Certified FlutterFlow Experts.
Top 1% | 10+ Yrs | Design, Engineering & Growth Systems
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5.0
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Top 1% | 10+ Yrs | Design, Engineering & Growth Systems
Cover image for What 2 Unpaid Projects Taught
What 2 Unpaid Projects Taught Me About Protecting Yourself I learned these lessons the expensive way. Sharing so you don't have to. 1. Get payment milestones in writing before you start. Not "we'll figure it out." Not a handshake. A contract with clear milestones, amounts, and deadlines. On-platform, where there's a record. 2. Never deliver 100% before final payment clears. I delivered a complete project, handed over all credentials, and trusted the client to pay. He didn't. Once everything is in their hands, your leverage is gone. 3. Silence is a red flag, not patience. When a client goes quiet for weeks after delivery, they're not "busy." They're hoping you'll give up. Set a deadline: if payment doesn't come within 7 days of delivery, escalate immediately. 4. Document everything outside the platform too. Screenshots of WhatsApp conversations, email confirmations, deployment logs, Git commits. If a dispute happens, your paper trail is your case. 5. Partial delivery is your best protection. On a multi-milestone project, never build ahead of payment. Finish milestone 1, get paid, then start milestone 2. If the client disappears after milestone 1, you've lost time but not unpaid work. 6. Threats mean you have leverage. When a client suddenly threatens legal action, bad reviews, and bans instead of just paying, it tells you one thing: they know they owe you and they're trying to scare you into walking away. Don't. 7. Keep your emotions out of your communication. Every message to support, every email, every response should be factual and professional. The moment you sound emotional, the focus shifts from "client didn't pay" to "freelancer is being difficult." I'm sharing this because I wish someone had told me before I lost sleep over it. Protect your work. Protect your time. And never feel guilty about expecting to be paid for what you delivered. @contrahq @sanganakhq
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30+ Apps Shipped | Flutter, Angular & ASP.NET
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30+ Apps Shipped | Flutter, Angular & ASP.NET
Cover image for 📌 Case Study: Candlestick Academy
📌 Case Study: Candlestick Academy — Trading Chart Pattern Mastery App Category: Education · Finance & Trading Platform: iOS & iPadOS (iPhone, iPad, Mac via Apple Silicon, Apple Vision Pro) Project Type: Gamified Financial Education App Live: candlestick-academy.web.app (http://candlestick-academy.web.app) · App Store (https://apps.apple.com/pk/app/candlestick-academy/id6763744872) Project Overview Candlestick Academy (https://candlestick-academy.web.app) is a trading education app that teaches all 28 essential candlestick patterns through cinematic storytelling, live market simulation, and competitive battle modes. The positioning says it best: Bloomberg Terminal meets Duolingo. Built and published by Cuboid, it's a fully offline, no-subscription, no-ads product built for traders who are serious about developing real pattern recognition — not just memorizing definitions. The Problem Candlestick chart patterns are fundamental to technical trading, but the way they're typically taught — textbooks, static images, dry definitions — doesn't build the instinctive recognition that actually matters when markets are moving in real time. Traders end up knowing what a Hammer looks like on paper but freezing when they see one forming tick by tick on a live chart. Existing trading education apps either oversimplified the material for beginners or buried it in subscription paywalls and generic content libraries. There was no product that combined the depth of professional trading education with the engagement mechanics needed to make the learning actually stick. Our Solution Candlestick Academy was built around one premise: recognition is a skill, not a fact. The app develops that skill through three distinct learning modes — each targeting a different stage of pattern mastery — tied together with a gamified progression system that keeps traders coming back daily. The entire app runs offline, with no subscription and no ads. The product earns its place through quality, not lock-in. Key Features & Capabilities Live Market Simulator — A dark, terminal-style interface with tick-by-tick candle formation that mimics a real trading screen. Users watch patterns develop in real time, identify them, tap "SIGNAL!", and earn or lose ELO rating based on accuracy. Progression runs from Rookie to Pro, with each rank requiring genuine improvement. Story-Driven Pattern Learning — All 28 patterns are taught through market psychology narratives — the human stories behind why bulls and bears create each formation. A Doji isn't just a cross-shaped candle; it's a moment of genuine indecision between two forces with equal conviction. That framing makes patterns memorable in a way that definitions never do. Spaced Repetition Engine — Powered by the SM-2 algorithm, the same system used by serious language learners. The app schedules review of each pattern at the optimal moment for long-term retention, not just short-term recall. Adaptive Drills — The system identifies weak spots in a user's pattern recognition and rebuilds every 10-question session around those specific gaps. No two sessions are identical. Anatomy Drills — Users tap individual parts of a candlestick — wicks, bodies, shadows — and the app explains exactly what that price movement represents at that moment in market psychology. It teaches traders to read candles, not just recognise them. Pattern Matchup — Long-press any two patterns to see a side-by-side comparison of their visual structure and psychological sentiment. Particularly useful for distinguishing similar-looking patterns that signal opposite market moves. Battle Mode — Timed competitive sessions with a ×4 combo multiplier for streak accuracy. Fast pattern recognition under pressure is the specific skill that separates traders who hesitate from traders who act. Mastery Constellation — Progress is visualised as a growing galaxy of stars — each pattern mastered adds a star to the user's constellation. It's a visual representation of accumulated knowledge, not just a progress bar. Daily Challenges — A curated 5-question set each morning to maintain active recall and keep streaks alive without requiring long sessions. 63 Automated Tests — Every pattern in the app is validated against 63 automated tests to ensure mathematical correctness. In a domain where accuracy is non-negotiable, this isn't a feature — it's a baseline. Design Philosophy The visual language is deliberately terminal-dark — professional, focused, and built to look credible on a trading desk rather than playful in a gaming context. The gamification layer (ELO, battle mode, constellation, streaks) is present and engaging but never trivializes the subject matter. The product respects the user's intelligence throughout. Final Outcome Candlestick Academy demonstrates Cuboid's ability to build sophisticated educational products at the intersection of fintech and consumer mobile — combining rigorous content, adaptive learning algorithms, live simulation, and professional-grade design. It's a product that competes with established trading education platforms on every dimension that matters to a serious trader.
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Cover image for 📌 Case Study: QR Scan
📌 Case Study: QR Scan & Gen — 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) · 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 — 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 — create, scan, save, share — 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 — 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 — 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 — 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 — 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 — Codes are generated entirely on-device. No internet connection required, no data sent to external servers during creation. Customizable Experience — 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 — 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 — 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 — 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 📌 Case Study: Carpool —
📌 Case Study: Carpool — Shared Rides & Smart Travel Platform Category: Travel · 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) · 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 — 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 — 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 — 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 — 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 — 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 — Unlike ride-hailing, Carpool is built for planned travel. Both drivers and passengers confirm arrangements in advance, reducing uncertainty on both sides. Verified Drivers — Car owners go through ID and license verification before offering rides. This isn't optional — it's the baseline for being listed on the platform. Ratings & Reviews — Both drivers and passengers are rated after each journey, creating a transparent reputation layer that compounds over time. Female-Only Ride Preferences — 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 — 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 — 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 — verification badges, ratings, female-only filters — 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 — 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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Cover image for The landing page is JS-rendered
The landing page is JS-rendered so I can't pull its content directly, but the page title itself is telling — "Colorium Lab — Precision Color Analysis App". That's a stronger positioning than just "education." Let me revise the case study to reflect that properly. 📌 Case Study: Colorium Lab — Precision Color Analysis App Category: Education · Science & Engineering Tools Platform: iOS (iPhone, Mac via Apple Silicon, Apple Vision Pro) Project Type: Interactive Color Science & Professional Analysis App Live: colorium-lab.web.app (http://colorium-lab.web.app) · App Store (https://apps.apple.com/pk/app/colorium-lab/id6752687469) Project Overview Colorium Lab (https://colorium-lab.web.app) is a precision color analysis app built for professionals who work with color as a measurable, technical variable — chemical engineers, materials scientists, industrial designers, textile specialists, and print professionals. It bridges the gap between color science and applied intuition, turning abstract theory into hands-on, interactive experimentation directly on an iPhone. Built and published by Cuboid, it has already earned a 5-star review from researchers working in atomic and chemical labs — validated exactly where it was designed to perform. The Problem Color is simultaneously physics, chemistry, and human perception. Professionals in paint formulation, dye processing, surface engineering, packaging, and industrial manufacturing work with color systems — RGB, CMYK, HSL, HSV, colorimetry, luminance — as precise specifications, not aesthetic choices. Existing tools were split between oversimplified creative apps and dense, inaccessible reference material. Neither served a chemical engineer who needed to understand why two pigment batches render differently under different lighting, or a print specialist who needed to internalize the behavior of CMYK vs. RGB reproduction. There was no mobile tool that treated color with the precision these professionals require. Our Solution Colorium Lab is built as an interactive analysis studio. Every module presents a concept and gives the user direct controls to manipulate it in real time — adjust a variable, watch the output update instantly, compare results side by side, and connect the visual outcome to the science behind it. It's the difference between reading about additive vs. subtractive color mixing and actually seeing what happens when you move a slider. For professionals whose judgment depends on color accuracy, that kind of muscle memory matters far more than memorized formulas. Key Capabilities Precision Color Models — Deep, interactive coverage of RGB, CMYK, HSL, and HSV — how each is structured, when each is the right tool, and how they translate across screen, print, and physical material applications. Additive vs. Subtractive Mixing — Visualized side by side with live feedback. Critical for any professional working across digital and physical media where light-based and pigment-based color behave fundamentally differently. Hue, Saturation, Brightness & Temperature — Core properties explored through adjustable controls that build accurate color judgment rather than theoretical recall. Contrast, Luminance & Perceptual Accuracy — How lighting conditions, surrounding context, and material finish change what the human eye perceives. Directly relevant for engineers specifying colors for safety, labeling, or regulated material standards. Palette Analysis & Evaluation — Tools for building, refining, and stress-testing color combinations against real-world application requirements. Who It's For Chemical engineers formulating pigments and coatings. Textile professionals managing dye consistency across production runs. Materials scientists working with surface finishes and optical properties. Print specialists maintaining color accuracy across substrates. Students in STEM and design who need to move from understanding color theory to applying it with precision. Colorium Lab was built for anyone for whom color is a specification, not just a preference. Final Outcome Colorium Lab demonstrates Cuboid's ability to build technically precise tools for professional and scientific audiences — where accuracy of interaction and depth of content carry as much weight as visual polish. It's an app that earns its place in a working professional's toolkit by being genuinely useful in the field.
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