Quicksilver is a routing and delivery game that takes place on a live city map. You are the dispatcher for an elite bike messenger company. Your job is to assign messengers to pick up and deliver packages in the most efficient way possible. The faster you deliver, the more money you'll earn.
Compete against other dispatchers. Everyone plays the exact same board and waves for the day. Can you find the perfect route and secure your spot on the leaderboard?
Hone your skills in a completely randomized session. Face structured waves of packages with increasing difficulty—perfect for practicing without the competitive pressure.
An endless, open-ended shift. Messengers check in over time and packages appear dynamically across the city. Manage the chaos and keep the city moving as long as you want.
Succeeding in Quicksilver requires spatial reasoning, foresight, and a cool head under pressure. Here is what you'll be managing on the map:
Chain multiple pickups and drop-offs together to maximize efficiency. A master dispatcher visualizes the entire city grid to minimize empty travel time.
Messengers use energy to move. You can force them to sprint, but they will need to rest sooner. Balance speed with stamina to keep your fleet moving.
Packages come in different sizes, and every messenger's bag has a weight limit. You cannot overload a rider who is already lugging heavy cargo.
Delivering all packages before the wave timer expires is just table stakes. True high scores require designing routes around subtle constraints and risk-reward tradeoffs.
Not all boxes are created equal. Taking a longer route to prioritize a high-value package might be the better play. Hitting the expected time window on a RUSH delivery grants a massive 50% cash bonus.
Speed directly impacts your tip, but missing a strict deadline is disastrous. Tardy deliveries incur a brutal 50% penalty on the package's base value and zero tip.
When vying for the top of the Daily Challenge, every second and pedal stroke matters. The leaderboard ranks strictly by Total Earnings, followed by Lowest Total Time, and finally Shortest Total Distance.