
During a two-month period, Matallui developed and enhanced the MetaMask Predict feature within the MetaMask/metamask-mobile repository, enabling prediction market trading on mobile. He architected the core trading workflow, integrating React Native and TypeScript to deliver UI components for market discovery, position management, and buy/sell execution through modular controller abstractions. His work included implementing Safe-based fee authorization, slippage handling, and environment-aware configuration to improve order reliability and fee collection. Matallui also refactored the testing suite using Jest and React Testing Library, addressed critical bugs in contract handling and navigation, and delivered comprehensive UI/UX improvements for a robust, maintainable user experience.

October 2025 performance summary for MetaMask/metamask-mobile: Key Predict deliverables across fee handling, order execution, UI/UX, and testing were shipped, alongside critical bug fixes and reliability improvements. The team implemented client-side Safe fee authorization for Buy orders with environment-aware fee collector wiring, introduced and tested 0.5% slippage for market orders with toggling for testing, and delivered comprehensive UI/UX enhancements for the Predict flow (per-tab Android scrolling, improved navigation, balance checks on buy confirmations, toasts, rate limiting, and sticky tabs). The Predict testing suite was refactored for reliability with better mocks and async handling. Major bugs were fixed, including Safe nonce calculation for undeployed contracts, empty state rendering for PredictPositions, navigation stack issues, and geoblock coverage gaps. Overall impact: improved reliability of fee collection, reduced order failure rates, smoother user experience, and stronger testing posture. Technologies/skills demonstrated: React Native/TypeScript, on-chain fee authorization logic, environment-based configuration, ABI encoding considerations, UI/UX polish, and modern testing practices.
October 2025 performance summary for MetaMask/metamask-mobile: Key Predict deliverables across fee handling, order execution, UI/UX, and testing were shipped, alongside critical bug fixes and reliability improvements. The team implemented client-side Safe fee authorization for Buy orders with environment-aware fee collector wiring, introduced and tested 0.5% slippage for market orders with toggling for testing, and delivered comprehensive UI/UX enhancements for the Predict flow (per-tab Android scrolling, improved navigation, balance checks on buy confirmations, toasts, rate limiting, and sticky tabs). The Predict testing suite was refactored for reliability with better mocks and async handling. Major bugs were fixed, including Safe nonce calculation for undeployed contracts, empty state rendering for PredictPositions, navigation stack issues, and geoblock coverage gaps. Overall impact: improved reliability of fee collection, reduced order failure rates, smoother user experience, and stronger testing posture. Technologies/skills demonstrated: React Native/TypeScript, on-chain fee authorization logic, environment-based configuration, ABI encoding considerations, UI/UX polish, and modern testing practices.
September 2025 focused on delivering the foundational MetaMask Predict capability for MetaMask Mobile, enabling users to participate in prediction markets with core trading workflows. The effort established the architecture, UI scaffolding for market discovery and positions, and initial buy/sell trading through the PredictController and provider abstractions, setting the stage for iterative enhancements and broader market coverage.
September 2025 focused on delivering the foundational MetaMask Predict capability for MetaMask Mobile, enabling users to participate in prediction markets with core trading workflows. The effort established the architecture, UI scaffolding for market discovery and positions, and initial buy/sell trading through the PredictController and provider abstractions, setting the stage for iterative enhancements and broader market coverage.
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