Taxi Driver
Game
About
The problem it solves The Problem It Solves Navigating urban traffic, avoiding hazards, and managing pickups in real life can be stressful and time-consuming. Streets in poor condition, full of potholes or obstacles, not only slow drivers down but can also damage their cars. While most driving games focus mainly on speed or racing, there is a gap in games that simulate the real challenge of driving safely, efficiently, and competitively in a city environment. Taxi Driver addresses this by creating a risk-free, fun environment where players can experience the daily challenges of being a taxi driver: picking up and dropping off clients, avoiding road hazards like potholes, and planning efficient routes—all while practicing reflexes, decision-making, and strategy. Smart Contract Address(es) 0x5a92F373CfD75803DfB6abFd491a86636b791c64 At the moment only for Sepolia Base Testnet Other Onchain Proof Taxi Driver integrates onchain features to provide verifiable proof of activity and engagement: Leaderboard on the Blockchain: Players’ high scores are stored onchain, making rankings transparent and tamper-proof. This allows anyone to verify achievements directly on the blockchain. MiniApp Integration: The game is deployed as a Farcaster MiniApp, ensuring that interactions and score submissions can be traced through blockchain-based events. Publicly Accessible Contracts: All transactions, including score submissions, are recorded onchain. Anyone can inspect the smart contract activity to see active players, recent scores, and the competitive engagement of the community.
How it's made
Challenges we ran into Developing Taxi Driver presented several challenges, especially because it was my first time building a full game from scratch. Some of the most difficult hurdles included: Game Architecture: Designing the structure of the game to handle scenes, player interactions, obstacles, and pickups was complex. I had to plan carefully how the different components (UI, gameplay mechanics, scoring, and leaderboards) would interact smoothly. Function Implementation: Creating functions for driving mechanics, obstacle collisions, and client pickups required precise logic to make gameplay feel responsive and enjoyable. Debugging these functions was time-consuming, especially when multiple game elements interacted simultaneously. Learning Curve: Developing a game involves not just programming but also understanding game loops, physics, and event handling. Balancing all these elements while keeping the code manageable was a major challenge. How I Overcame It: I approached these challenges step by step: Broke down the game into smaller modules (player, obstacles, pickups, scoring). Developed and tested each module individually before integrating them. Used iterative testing to refine gameplay mechanics, ensuring collisions, pickups, and scoring worked as expected. Consulted documentation and tutorials for Phaser and MiniApp integration to ensure smooth deployment across web and Farcaster platforms. This process taught me the importance of planning architecture first, building incrementally, and testing thoroughly to overcome complex development hurdles.