Optimize Crypto Balance Scanner
Budget: $30 – $250 USD
I have a private crypto-wallet scanner written in Python and distributed as a single Windows EXE. It works, but two areas hold it back:
• Balance detection is cool and needed to be founded every scan and high balance.
• The program suffers from slow initialization before each scan.
Your task is to refactor the balance-detection logic so every run reliably flags high balances, then trim the start-up routine so the tool is ready in roughly two seconds on a modern desktop. Any extra speed gains during the actual scan are welcome, but accuracy with large balances is the priority.
The current stack relies on Python 3.10, web3.py, requests, and PyInstaller. Please keep the solution in pure Python so I can continue shipping a single EXE.
Deliverables
• Updated .py source with clear in-code comments on all changes
• Re-compiled EXE ready for Windows 10/11
• Short performance report: start-up timing plus a test run showing detection of the high-balance wallets I will supply
I’ll verify the new build on my machine; payment releases once it meets those checks.
• Balance detection is cool and needed to be founded every scan and high balance.
• The program suffers from slow initialization before each scan.
Your task is to refactor the balance-detection logic so every run reliably flags high balances, then trim the start-up routine so the tool is ready in roughly two seconds on a modern desktop. Any extra speed gains during the actual scan are welcome, but accuracy with large balances is the priority.
The current stack relies on Python 3.10, web3.py, requests, and PyInstaller. Please keep the solution in pure Python so I can continue shipping a single EXE.
Deliverables
• Updated .py source with clear in-code comments on all changes
• Re-compiled EXE ready for Windows 10/11
• Short performance report: start-up timing plus a test run showing detection of the high-balance wallets I will supply
I’ll verify the new build on my machine; payment releases once it meets those checks.