DGDreams — Web3 Space Terminal

Multi-chain daily task dashboard with 14 networks • GenLayer AI contracts • NFT soulbound streaks

🌐 Live Site · Features · Architecture · Networks

Next.js 16 TypeScript Wagmi RainbowKit GenLayer Bradbury Vercel

Overview

Features

✨ Multi-Chain Task Execution

GenLayer Integration

🏆 Soulbound NFT Streaks

Architecture

src/
├── app/
│ ├── dashboard/ # Network grid overview
│ ├── tasks/ # Daily task execution page
│ ├── 2048/ # Binary milestone game
│ ├── litevm/ # LiteVM playground
│ ├── activity/ # Transaction history
│ ├── profile/ # User profile & NFT view
│ ├── faq/ # Help & documentation
│ └── api/ # Backend API routes
├── components/
│ ├── DailyTaskPanel # Task execution modal (wagmi + genlayer-js)
│ ├── WalletModal # Wallet connection UI
│ ├── Sidebar # Navigation sidebar
│ ├── DashboardLayout # Shared layout wrapper
│ └── ...
├── config/
│ └── chains.ts # All 14 chain definitions & NetworkConfig
├── lib/
│ ├── genlayer/
│ │ ├── client.ts # genlayer-js client factory
│ │ └── tasks.ts # Write/read helpers for GenLayer
│ └── utils.ts # Shared utilities
└── db/
 ├── schema.ts # Drizzle ORM schema
 └── index.ts # Database client
genlayer-contracts/
└── nikbase_genlayer.py # Python Intelligent Contract for GenLayer

Data Flow

User connects wallet → RainbowKit → wagmi (EVM chains)
 └── genlayer-js (GenLayer)
 ↓
User selects network → switchChainAsync (wagmi)
 └── manual wallet switch (GenLayer)
 ↓
User clicks "Start" → DailyTaskPanel opens
 ↓
 ┌──── isGenLayer(chainId)? ────┐
 ↓ ↓
 genLayerWriteTask() writeContractAsync()
 (genlayer-js SDK) (wagmi viem)
 ↓ ↓
 waitForTxReceipt waitForTransactionReceipt
 ↓ ↓
 Confirm task Handle revert / success

Networks

Mainnet

Testnet

Getting Started

# Clone the repository
git clone https://github.com/Misagh95/dgdreams.git
cd dgdreams
# Install dependencies
npm install
# Set up environment variables
cp .env.example .env.local
# Add your WalletConnect Project ID to .env.local:
# NEXT_PUBLIC_WALLETCONNECT_PROJECT_ID=your_project_id
# Run development server
npm run dev

Prerequisites

GenLayer Contracts

NikBase — Daily Check-In & Activity Tracker

# { "Depends": "py-genlayer:1jb45aa8ynh2a9c9xn3b7qqh8sm5q93hwfp7jqmwsfhh8jpz09h6" }
from genlayer import *
import json
class NikBase(gl.Contract):
 store: str
 def _now(self) -> int:
 def fetch_time() -> str:
 raw = gl.nondet.web.render("https://worldtimeapi.org/api/timezone/Etc/UTC", mode="text")
 ...
 return int(gl.eq_principle.strict_eq(fetch_time))
 def _today(self) -> int:
 return self._now() // 86400
 @gl.public.write
 def dailyCheckIn(self) -> str: ...
 @gl.public.write
 def gm(self) -> None: ...
 @gl.public.write
 def gn(self) -> None: ...

AI Price Oracle

class PriceOracle(gl.Contract):
 store: str
 @gl.public.view
 def getPrice(self, symbol: str) -> str: ...
 @gl.public.view
 def isFresh(self, symbol: str, max_age_seconds: int) -> str:
 # Returns {"fresh": bool, "age": int, "max_age": int}
 @gl.public.write
 def fetchPrice(self, symbol: str) -> typing.Any:
 def fetch() -> str:
 raw = gl.nondet.web.render(
 f"https://api.binance.com/api/v3/ticker/24hr?symbol={symbol}USDT",
 mode="text"
 )
 result = gl.eq_principle.prompt_comparative(
 fetch,
 "Two prices are equivalent if they are for the same symbol and the price values differ by less than 1%."
 )
 parsed = json.loads(str(result))
 parsed["updated_at"] = self._now() # freshness timestamp
 data[symbol] = parsed
 self.store = json.dumps(data, sort_keys=True)

Prediction Market

class PredictionMarket(gl.Contract):
 store: str
 @gl.public.write
 def createMarket(self, question: str, source_url: str, target_value: str, condition: str, resolves_at: int) -> int: ...
 @gl.public.write
 def predict(self, market_id: int, outcome: int, amount: int) -> str: ...
 @gl.public.write
 def resolveMarket(self, market_id: int, oracle_addr: str = "") -> str:
 # Direct resolution: validators fetch source_url and reach strict_eq consensus on outcome
 # Optionally accepts oracle_addr for audit trail
 @gl.public.write
 def resolveWithOracle(self, market_id: int, oracle_addr: str, symbol: str, max_age: int) -> str:
 # Oracle-mediated resolution:
 # 1. Checks oracle.isFresh(symbol, max_age) — rejects if stale
 # 2. Calls oracle.getPrice(symbol) for the current price
 # 3. Resolves market by comparing price against target_value/condition
 # 4. Stores oracle price + freshness info for audit trail

Tech Stack

License

Built by @Misagh95 · dgdreams.space

GenLayer