strong-multiplier

🎮 Core Concept of "1mx" Crash is a real‑time multiplayer betting game where: A round starts at a multiplier of 1.00x The multiplier increases continuously (e.g., 1.00 → 1.01 → 1.02 → …) At a provably‑fair random moment, the multiplier crashes Players must cash out before the crash to lock in their multiplier If they don’t, they lose their bet The tension comes from the multiplier rising quickly while the crash point is unknown. ⚙️ Game Mechanics (Developer‑Ready) 1. Round Lifecycle State: WAITING Players place bets. Countdown timer (e.g., 5 seconds). State: RUNNING Multiplier increases smoothly in real time. State: CRASHED Multiplier stops at a predetermined crash point. State: SETTLEMENT Payouts are calculated and broadcast. State: RESET New round begins. 2. Multiplier Growth Formula Most crash games use an exponential curve: 𝑚 𝑢 𝑙 𝑡 𝑖 𝑝 𝑙 𝑖 𝑒 𝑟 ( 𝑡 ) = 𝑒 𝑘 𝑡 Where k controls speed. Alternatively, a simpler linear or pseudo‑exponential curve works: Code multiplier += multiplier * growthRate * deltaTime 3. Crash Point Generation (Provably Fair) Use a server seed, client seed, and nonce to generate a crash point: Code hash = HMAC_SHA256(serverSeed, clientSeed + ":" + nonce) crashPoint = 1 / (1 - (int(hash, 16) / 2^256)) Or a simpler version: Code crashPoint = max(1.00, (100 / (100 - (hash % 100)))) Players can verify fairness by checking the server seed after it’s revealed. 4. Cashout Logic Players send a cashout request during the RUNNING state. Server checks: Was the request received before crash time What was the multiplier at that exact timestamp Payout = bet * multiplier Important: Cashout must be validated server‑side only. Never trust client timestamps. 🌐 Networking & Real‑Time Architecture Crash is fundamentally a real‑time multiplayer game, so the networking layer matters more than the UI. 1. Use WebSockets for Global Game State WebSockets are ideal because: Low latency Bidirectional Supports thousands of concurrent players Perfect for broadcasting multiplier updates Server → Clients Current multiplier Round state Crash event Other players’ cashouts (optional) Clients → Server Bet placement Cashout request 2. Tick Rate Recommended: 20–30 ticks per second for multiplier updates Broadcast only when the multiplier changes enough to matter (e.g., 0.01 increments) 3. Server Architecture A typical setup: Backend Language Options Node.js (fast prototyping, great WebSocket ecosystem) Go (excellent concurrency, low latency) Elixir/Phoenix (best-in-class real-time performance) Rust (high performance, safety, but more complex) Framework Suggestions Node.js → ws or socket.io Go → gorilla/websocket Elixir → Phoenix Channels Rust → tokio + warp or axum State Management Use an in‑memory game loop: Current multiplier Crash point Player bets Player cashouts Round timers For scaling horizontally, use: Redis pub/sub for state replication A single authoritative game server for the multiplier loop 🧮 Anti‑Cheat & Integrity 1. Server‑side authoritative state Clients never calculate: Multiplier Crash point Cashout timing 2. Provably fair hashing Publish: Previous round’s server seed Next round’s server seed hash 3. Rate limiting Prevent spam cashout attempts. 🎨 Frontend Implementation Tech Stack React / Vue / Svelte Canvas or WebGL for smooth multiplier animation WebSocket client for real‑time updates UI Elements Live multiplier graph Cashout button Bet input Round history Leaderboard 🧱 Database Layer Use a transactional DB PostgreSQL or MySQL for bets, payouts, user balances Redis for real‑time state caching Tables users bets rounds cashouts seeds (for provably fair) 🧪 Testing Strategy Unit tests Crash point generation Multiplier curve Cashout timing Load tests WebSocket concurrency Broadcast performance Security CONCERNS Replay attacks Timestamp spoofing Balance manipulation