Token launches can involve multiple wallets, transactions, and execution steps.
When these operations are performed manually, managing wallets, nonces, gas, transaction ordering, and confirmations can become difficult.
This is where a Pons Family Token Bundler Bot can be useful as an infrastructure and research project.
Pons is a platform for launching and exploring fixed-supply tokens on Robinhood Chain. Transactions are submitted through the user's wallet, and Pons does not custody user assets.
The goal of this project is to study how multiple wallets and transactions can be coordinated through an automated execution pipeline.
Research focus: transaction coordination, wallet management, signing, execution, and monitoring. The system is not intended to manipulate token markets or mislead market participants.
Architecture
The basic architecture looks like this:
Pons Launch
↓
Wallet Manager
↓
Transaction Builder
↓
Validation
↓
Signing Engine
↓
Execution Queue
↓
Robinhood Chain
↓
Confirmation
Each component has a specific responsibility.
Robinhood Chain Setup
Robinhood Chain is an Arbitrum Layer-2 built on Ethereum and uses ETH as its native gas token. The official documentation lists:
Mainnet Chain ID: 4663
Testnet Chain ID: 46630
The documentation also provides RPC and WebSocket endpoints for blockchain applications.
For a bundler, WebSocket connectivity can be useful when monitoring transaction state in real time.
1. Wallet Manager
The wallet manager maintains the wallets used by the workflow.
{
"wallets": [
{
"id": "wallet_01",
"address": "0x..."
},
{
"id": "wallet_02",
"address": "0x..."
}
]
}
The system can track:
- Wallet address
- ETH balance
- Nonce
- Transaction status
- Transaction history
Private keys should never be hard-coded.
For production systems, use secure key-management or signing infrastructure.
2. Transaction Builder
The transaction builder converts the launch plan into transactions.
A simplified EVM transaction contains:
transaction = {
"to": contract_address,
"value": value,
"data": calldata,
"nonce": nonce,
"chainId": 4663
}
A useful pipeline is:
Build
↓
Validate
↓
Sign
↓
Queue
↓
Broadcast
Keeping these stages separate makes debugging and testing much easier.
3. Nonce Management
Every EVM wallet has its own transaction sequence.
For example:
Wallet A
Nonce 10
Nonce 11
Nonce 12
Wallet B
Nonce 5
Nonce 6
Nonce 7
The bundler therefore needs to maintain nonce state per wallet.
wallet_state = {
"0xWalletA": {
"next_nonce": 10
},
"0xWalletB": {
"next_nonce": 5
}
}
Incorrect nonce handling can result in rejected or stuck transactions.
4. Transaction Ordering
Some transactions depend on previous operations.
For example:
Deploy Token
↓
Prepare Operation
↓
Execute Operation
The execution engine should explicitly understand these dependencies.
Independent transactions can be handled separately, while dependent transactions remain sequential.
This is an important difference between simply sending transactions and building a transaction-orchestration system.
5. Signing
After validation, transactions are signed.
Transaction
↓
Validation
↓
Signer
↓
Signed Transaction
The signing layer should be isolated from the rest of the application.
This makes it possible to use different signing methods later, such as a secure key-management service or hardware-backed signer.
6. Execution Queue
The execution queue controls which transactions are ready to broadcast.
A queue item might look like:
{
"id": "tx_001",
"wallet": "wallet_01",
"nonce": 10,
"status": "pending"
}
Typical states are:
PENDING
↓
SIGNED
↓
SUBMITTED
↓
CONFIRMED
If something fails:
SUBMITTED
↓
FAILED
↓
RETRY / STOP
This provides visibility into the entire execution process.
7. Confirmation Tracking
Broadcasting a transaction doesn't mean the workflow is finished.
The bot should monitor the transaction until the required confirmation state is reached.
Transaction Submitted
↓
Transaction Hash
↓
Receipt
↓
Block
↓
Confirmation
Useful data to store includes:
Transaction hash
Block number
Status
Gas used
Timestamp
This also makes recovery easier if the bot restarts during a launch.
Handling Failures
Blockchain automation needs to expect failures.
Examples include:
- Insufficient gas
- Invalid nonce
- RPC timeout
- Contract revert
- Invalid transaction data
- Confirmation timeout
- Network interruption
A simple failure handler could look like:
if transaction_failed:
mark_failed(transaction)
if retry_allowed(transaction):
retry(transaction)
else:
stop_workflow()
The important principle is:
Fail safely instead of continuing blindly.
Pons Family Launch Workflow
A simplified Pons-related workflow can be modeled as:
Pons Launch
↓
Launch Plan
↓
Wallet Manager
↓
Transaction Builder
↓
Validation
↓
Signing Engine
↓
Execution Queue
↓
Robinhood Chain
↓
Confirmation Tracker
The bundler becomes an orchestration layer between the launch configuration and blockchain execution.
Complete System
Putting the components together:
Pons Launch
│
▼
┌─────────────────┐
│ Wallet Manager │
└────────┬────────┘
↓
┌─────────────────┐
│ Nonce Manager │
└────────┬────────┘
↓
┌─────────────────┐
│ Transaction │
│ Builder │
└────────┬────────┘
↓
┌─────────────────┐
│ Validator │
└────────┬────────┘
↓
┌─────────────────┐
│ Signing Engine │
└────────┬────────┘
↓
┌─────────────────┐
│ Execution Queue │
└────────┬────────┘
↓
Robinhood Chain
↓
┌─────────────────┐
│ Confirmation │
│ Tracker │
└─────────────────┘
This architecture separates:
Wallet Management
Transaction Construction
Nonce Management
Validation
Signing
Execution
Confirmation
Each component can then be tested independently.
Testing
Before using mainnet, test the complete system on Robinhood Chain testnet.
A practical workflow is:
Local Development
↓
Unit Tests
↓
Testnet
↓
Small Mainnet Test
↓
Production
Test cases should include:
- Multiple wallets
- Sequential transactions
- Nonce conflicts
- Failed transactions
- Insufficient gas
- RPC failures
- Confirmation timeouts
- Application restarts
- Recovery after failed execution
The goal is to make the system predictable before introducing real assets.
Final Thoughts
A Pons Family Token Bundler Bot is essentially a transaction-orchestration system.
The core workflow is:
Plan
↓
Manage Wallets
↓
Build Transactions
↓
Validate
↓
Sign
↓
Queue
↓
Execute
↓
Confirm
The interesting engineering challenges are not just blockchain calls.
They include nonce management, transaction dependencies, signing security, execution queues, failure recovery, and confirmation tracking.
By separating these components, developers can build a clean foundation for researching automated token-launch workflows on Robinhood Chain.
The focus should remain on legitimate blockchain infrastructure and transaction coordination—not market manipulation or misleading activity.
GitHub
I've published additional Robinhood Chain trading-bot research and infrastructure concepts in the following repository:
Robinhood Trading Bot System
The repository covers concepts including automated trading, wallet monitoring, transaction execution, copy trading, and token-launch research.
Pons Family
You can explore Pons Family here:
Pons currently provides token launching and exploration functionality for fixed-supply tokens on Robinhood Chain.
Robinhood Chain Resources
- Robinhood Chain Documentation
- Connecting to Robinhood Chain
- Deploy Smart Contracts
- Stock Token APIs
- Data Streams
Contact
If you're interested in Robinhood Chain infrastructure, automated blockchain systems, or token-launch transaction research:
Telegram: @BenjaminCup
Disclaimer
This article is for educational and research purposes only. Blockchain transactions can be irreversible and involve financial and technical risks. Always test your implementation carefully before interacting with mainnet assets.
This article was originally published by DEV Community and written by Benjamin-Cup.
Read original article on DEV Community