Comparison & Optimization: Automation vs Manual, Fees & Strategies
Comprehensive comparison of cleanup approaches, fee optimization strategies, architectural security models, and multi-wallet management techniques.
#Automation vs Manual Work: Which is More Efficient?
Rent recovery can be performed in several ways. Method choice depends on technical skills, number of accounts, and value of your time.
Scenario 1: Manual Closing via CLI
When suitable:
- You have 1-5 empty accounts
- You're a developer with terminal experience
- You fundamentally want to avoid service fees
Requirements:
Technical skills: Installing Rust and Solana CLI, understanding command line, working with keypair files
Environment setup time: 30-60 minutes (first time)
Process for closing one account:
# Step 1: View account list
solana-keygen pubkey ~/.config/solana/id.json
spl-token accounts
# Step 2: Close specific account
spl-token close --address
Time per account: ~2-3 minutes (finding address + executing command)
Cost:
- Gas: ~0.000005 SOL per account
- Service fee: 0 SOL
- Your time: 2-3 minutes × number of accounts
Efficiency calculation:
If you have 50 accounts:
- Work time: 100-150 minutes (2.5 hours)
- Fee savings: ~0.1 SOL (20% of 0.5 SOL recovery)
- Time value: If your hour costs $20+, method is unprofitable
Risks:
- Typo in address = loss of funds
- Accidentally closing important account
- Command errors = wasted gas without result
Scenario 2: Automated Cleanup Service
When suitable:
- You have 20+ empty accounts
- You're not a developer or value time
- Want guaranteed result without risks
Process:
- Paste address in scanner (30 seconds)
- Review results (1 minute)
- Connect wallet and confirm (1 minute)
- Wait for execution (5-10 seconds)
Total time: 3-5 minutes regardless of account number.
Cost:
- Gas: ~0.00001 SOL per batch of 20 accounts
- Service fee: 10-25% of recovery
- Your time: 5 minutes total
Efficiency calculation:
If you have 50 accounts:
- Work time: 5 minutes
- Recovery: ~0.5 SOL (at 0.01 SOL per account)
- Fee: ~0.1 SOL
- Net profit: 0.4 SOL for 5 minutes work
Advantages:
- Batch processing (20-25 accounts per transaction)
- Automatic filtering of dangerous accounts
- Result preview before wallet connection
- No input error risk
Scenario 3: Hybrid Approach
Optimal strategy for experienced users:
Stage 1: Use automated service for mass closing of simple SPL tokens (90% of work) and obtaining list of complex cases
Stage 2: Use CLI for PDA accounts service didn't process, Token-2022 with non-standard extensions, and fine-tuning (e.g., choosing specific rent recipient)
Result: Time savings + maximum process control.
#Security Architecture Comparison: Connect-First vs Verify-First
Wallet interaction architecture determines the level of protection from phishing and user errors.
Connect-First: Outdated Model
Typical flow:
Open site → "Connect Wallet" button →
Connect wallet → See data →
Make decision → Sign transaction
Why this is problematic:
Decision-making moment: You connected wallet BEFORE seeing how much can be recovered. Psychologically harder to refuse operation after connection.
Information asymmetry: Site knows your address, sees all your funds, but you don't yet know what it will do.
Risk for beginners: Inexperienced users get used to "connecting everywhere" and become victims of phishing sites.
Impossible verification without risk: Cannot check someone else's wallet (friend's, cold wallet) without physical access.
Where still used: Old DeFi protocols (2020-2021), simple token burners without scanning, scam sites (deliberately use this pattern to create legitimacy illusion)
Verify-First: Modern Standard
Typical flow:
Open site → Enter address (public) →
See detailed report → Make decision →
"Claim" button → Connect wallet →
Sign transaction
Advantages:
Informed consent: You see exact recovery amount, fee, account list before wallet connection.
Public data: Service uses only public key (address) for scanning. This is public information available via block explorer.
Safe verification: Can scan multiple own wallets simultaneously, cold wallets (Ledger) without connection, friends' wallets for help, and compromised wallets to assess remainders.
No pressure: If result not impressive (e.g., 0.01 SOL recovery), can simply close tab without site interaction.
Phishing protection: Phishing sites cannot use this pattern as they need wallet access for theft. Verify-First automatically filters 90% of scams.
Technical Implementation of Verify-First
Backend architecture uses two independent calls:
Step 1: Public scanning (no authorization) - RPC requests use only public methods
Step 2: Signing (only during claim) - now requires signed transaction
Key point: First call requires no authorization, making it completely safe for users to verify before commitment.
#Why does Solana require rent but Ethereum doesn't?
This is a fundamental difference in blockchain architectures, related to design priorities.
The State Bloat Problem
What is State: All data that must be accessible for transaction validation - account balances, smart contract code, contract variables, token metadata.
Why it's a problem: Each validator must store ALL state in fast access for transaction verification. With growing usage, State grows exponentially.
Ethereum's Approach: Hidden Cost
How it works:
- You pay huge transaction fees ($5-50 for regular transfer, $50-200 for complex operations)
- Part of this money compensates validators for eternal data storage costs
- Data stored FOREVER without deletion possibility
Problems:
Uncontrolled State growth: Ethereum State grew from 10 GB (2017) to 900+ GB (2024). Hardware requirements growing.
Dead data: Millions of contracts and accounts unused for years but occupy space. No cleanup mechanism.
Gas Wars: During congestion, fees skyrocket to $500+ per transaction as users compete for block space.
Centralization: Only large companies can afford running full node (2-4 TB SSD + powerful hardware).
Solana's Approach: Explicit Cost + Refundable Deposit
How it works:
- Transactions cheap ($0.0002-0.005)
- Separate deposit for data storage (rent)
- Deposit returned when data deleted
Advantages:
Controlled State growth: Users incentivized to clean junk as they can return money. State grows slower.
Honest pricing: Don't pay for "eternal storage" if using data temporarily. Closed account = returned deposit.
Low transaction fees: Validators don't compensate storage through gas, so gas remains cheap.
Decentralization: Hardware requirements grow slower, more independent validators can participate.
Disadvantages:
User complexity: Need to understand rent concept and actively manage accounts.
Locked capital: Part of SOL "frozen" in empty accounts for uninformed users.
Alternative Approaches in Other Blockchains
Near Protocol: Uses "storage staking" - stake NEAR for storage (1 NEAR = 10 KB), unstake returns NEAR but deletes data
Cosmos/IBC chains: Each network chooses own model
Sui/Aptos: "Storage rebates" - hybrid where you pay for storage on creation, get partial refund on deletion (~70-80%, not 100%)
The Future: EIP-4444 in Ethereum
Ethereum discussing introducing "history expiry" - data older than 1 year removed from mandatory validator storage, access to history through archive nodes (optional). This is a step toward Solana's model but without refunds to users.
#How to optimize Priority Fees?
Priority Fee is a mechanism allowing transaction processing acceleration during network congestion.
How Priority Fee Works
Fee structure:
Total Fee = Base Fee + Priority Fee
Base Fee = 5000 lamports (fixed)
Priority Fee = Compute Units × Price per CU (you set)
Operating principle: Validators sort transactions in mempool by Priority Fee. High payment = high priority.
When Priority Fee Needed
Normal time (low activity): Priority Fee = 0 sufficient. Transaction passes in 1-2 seconds.
Medium activity: Priority Fee = 10,000-50,000 lamports (~$0.0001-0.0005) recommended for guarantee.
High load (popular NFT mint, viral memecoin): Priority Fee can reach 0.01-0.1 SOL ($1-10) for guaranteed block inclusion.
Optimization Strategies
Strategy 1: Dynamic Priority Fee
Modern wallets offer slider: Low (0) / Medium (0.0001 SOL) / High (0.001 SOL)
How to choose:
- Low: If not hurrying (rent return can wait 5 minutes)
- Medium: Standard for most cases
- High: Only for critical necessity (evacuation from hacked wallet)
Strategy 2: Real-time Network Monitoring
Use services like Solana Beach or QuickNode to check current average Priority Fee and network congestion. Set fee slightly above average for guarantee.
Strategy 3: Operation Batching
Instead of sending 3 separate transactions, send maximum batches to reduce total fee cost while accomplishing same work.
Strategy 4: Timing Selection
Solana has daily activity cycles:
Low load: 02:00-08:00 UTC (night in USA), weekends
High load: 14:00-22:00 UTC (day in USA and Europe), popular project launch days
If not urgent, do cleanup at night or weekends with minimal Priority Fee.
Compute Units Optimization
Advanced technique: By default transactions request maximum Compute Units (1.4M) but actually use less. Optimize by setting lower limit to reduce Priority Fee calculation base, saving up to 71% on fees.
Important: If actual usage exceeds specified limit, transaction fails. Use with caution.
#How to scale cleanup for multiple wallets?
If you manage 10+ wallets (trading, arbitrage, business), you need a mass cleanup strategy.
Manual Approach Problems
Time costs: 10 wallets × 5 minutes = 50 minutes work
Context switching: Constantly connecting/disconnecting different wallets in browser
Error risk: Easy to confuse which wallet already cleaned and which not
Solution 1: Batch Scanning
Modern cleanup tools allow:
Paste address list and get summary report showing total wallets, empty accounts, recoverable amount, and estimated time.
Sequential connection: Claim for wallet 1 → Disconnect, Claim for wallet 2 → Disconnect, etc.
Optimization: Use different browser tabs for parallel work.
Solution 2: Programmatic Automation
For developers: Use Solana Web3.js to create script that loops through wallets, gets empty accounts, builds close transactions, signs and sends them automatically.
Advantages: Fully automated, can run weekly via cron, results logging
Risks: Need to store private keys in script (use encrypted storage), code error can lead to fund loss
Solution 3: Centralization via Sub-wallets
Architecture:
Main Wallet (cold storage)
├── Trading Wallet 1
├── Trading Wallet 2
├── Trading Wallet 3
└── Bot Wallets 1-10
Strategy: Regularly cleanup all sub-wallets, transfer recovered SOL to Main Wallet, use Main Wallet only for storage not activity
Advantage: If sub-wallet compromised, main funds safe.