RadarFi is a web3 security layer for any Dapp/ Defi protocols out there. It acts as a transaction monitoring layer for any decentralized app that interacts with Smart contracts across chains.
A lot of money in web3 is lost to scams and 72% of that was lost in DeFi Protocols which clearly shows that there's an absolute need for a security solution that sits on top of your application and prevents security hacks in real time across all EVM chains.
Over the past few weeks, I have been aggregating data around potential hacks through transaction patters, smart contract vulnerabilities and wallet addresses of potentially fraudulent and ponzi wallets. Since I am using ML and statistical derivations from on chain and off chain data, the solution evolves over time as the hacking patterns change or become more advanced. It's currently an API and soon will be launched as an SDK that can be integrated with any DApp out there
Tech Stack
Solidity: For Smart contract analysis
Python: ML based decisioning
ENS: for monitoring ENS based transactions
Graph protocol: for pulling data from chain
Quicknode: for blockchain analytics
Javascript: for SDK
AWS: for computation of blockchain data
Development Roadmap
Milestone 1
Summary: Make the API for transaction monitoring across 2 EVM chains - Ethereum and Polygon
Team: Laisha Wadhwa
Budget: $6000
Duration: 3 weeks
Number
Deliverable
Specification
1.
Have an API that can be used to monitor transactions on your choice of chain
Any Dapp can choose the network(s) they want to monitor for potential risks. The API will be limited at 20 free API calls and then will be paid per call . The API hosting service needs computation engines and data pulling from chain also requires computation nodes to structure data
Milestone 2
Summary: Build a Social media presence for RadarFi through Microblogging and Twitter
Team: Intern (potentially)
Budget: $3000
Duration: 2 weeks
Number
Deliverable
Specification
1.
Have 500-1000 followers on Twitter and presence across Medium and twitter for RadarFi
Create content around security as a service, potential risks identified through RadarFi and awareness on Securtiy aspects of web3 to garner organic audience for RadarFi
Milestone 3
Summary: Evaluate SDK vs bot service for Security as a Solution
Team: Laisha Wadhwa (later a dev: to be hired)
Budget: $5000
Duration: 4 weeks
Number
Deliverable
Specification
1.
Have an easy to integrate javascript based SDK for Dapps to integrate in their Dapps seamlessly
Any Dapp can choose to integrate the SDK at a smart contract or network level to monitor transactions for Low medium and high risk across multiple EVM chains
Milestone 4
Summary: Build a data monetisation platform for community users to provide on chain data and dashboard as an extended monitoring tool for enterprises
Team: Laisha Wadhwa (later a dev: to be hired)
Budget: $6000
Duration: 4-5 weeks
Number
Deliverable
Specification
1.
Have an data monetisation platform for community to contribute and help in pulling more data from chain and building analytics around it.
Build a analytics dashboard [with details on money saved, threats prevented and potential risks avoided] and a data monetisation platform (work 2 earn platform)
Total Budget Requested
$20000
Project Links
Currently its a private repo since the algorithms used are proprietary
RadarFiName of the Project: RadarFi:
Proposer:
laishawadhwaDo you agree to Encode Club's Terms and Conditions?: Yes
Do you agree to the grant process outlined by WBW3?: Yes
Project Description
RadarFi is a web3 security layer for any Dapp/ Defi protocols out there. It acts as a transaction monitoring layer for any decentralized app that interacts with Smart contracts across chains. A lot of money in web3 is lost to scams and 72% of that was lost in DeFi Protocols which clearly shows that there's an absolute need for a security solution that sits on top of your application and prevents security hacks in real time across all EVM chains.
Over the past few weeks, I have been aggregating data around potential hacks through transaction patters, smart contract vulnerabilities and wallet addresses of potentially fraudulent and ponzi wallets. Since I am using ML and statistical derivations from on chain and off chain data, the solution evolves over time as the hacking patterns change or become more advanced. It's currently an API and soon will be launched as an SDK that can be integrated with any DApp out there
Tech Stack
Development Roadmap
Milestone 1
Milestone 2
Milestone 3
Milestone 4
Total Budget Requested
$20000
Project Links
Currently its a private repo since the algorithms used are proprietary
Team Members
Laisha Wadhwa https://twitter.com/laishawadhwa/