DApp Privacy Module Integration
Budget: $250 – $750 USD
I need a self-contained privacy module that can drop straight into our community-run DApp and immediately harden it against both on-chain and network-level snooping.
Core scope
• Integrate the Tor SDK so every call made through the module travels across the Tor network, fully anonymising the user’s IP address.
• Wrap the logic in a clean REST layer so the current payment flow—already wired to CoinPayments and BitPay—can switch over with minimal refactoring.
• Support USDT, USDC, BTC, ETH, BNB and SOL from day one; if an additional asset follows the same pattern it should be easy to append.
• A 100-transaction simulation must show at least a 90 % privacy pass rate with sub-2 second responses and absolutely no data leakage; ship the automated test harness with the code so I can re-run it.
• All work goes into the private GitHub repo I’ll share once we start. Create feature branches, open a pull request each day, and encrypt every submission with AES before pushing.
Although the primary focus is Tor-based IP masking, I also plan to shield the actual token transfers in a follow-up sprint, so design your interfaces flexible enough to accept a future Railgun SDK hook without a rewrite.
Hand-off requirements
1. Production-ready source in the repo, merged to main only after my review.
2. Postman (or similar) collection documenting every REST endpoint.
3. Test report showing the 100-run simulation results and how the metrics were captured.
If this aligns with your expertise in blockchain privacy, let’s get started—the repo link will be in your inbox the moment we agree.
Budget: $350-500 USD
Core scope
• Integrate the Tor SDK so every call made through the module travels across the Tor network, fully anonymising the user’s IP address.
• Wrap the logic in a clean REST layer so the current payment flow—already wired to CoinPayments and BitPay—can switch over with minimal refactoring.
• Support USDT, USDC, BTC, ETH, BNB and SOL from day one; if an additional asset follows the same pattern it should be easy to append.
• A 100-transaction simulation must show at least a 90 % privacy pass rate with sub-2 second responses and absolutely no data leakage; ship the automated test harness with the code so I can re-run it.
• All work goes into the private GitHub repo I’ll share once we start. Create feature branches, open a pull request each day, and encrypt every submission with AES before pushing.
Although the primary focus is Tor-based IP masking, I also plan to shield the actual token transfers in a follow-up sprint, so design your interfaces flexible enough to accept a future Railgun SDK hook without a rewrite.
Hand-off requirements
1. Production-ready source in the repo, merged to main only after my review.
2. Postman (or similar) collection documenting every REST endpoint.
3. Test report showing the 100-run simulation results and how the metrics were captured.
If this aligns with your expertise in blockchain privacy, let’s get started—the repo link will be in your inbox the moment we agree.
Budget: $350-500 USD