Introducing STRKFarm
The Ultimate Yield Aggregator on Starknet

a community x tech person. learning to code and share my progress.
Discover STRKFarm, the leading yield aggregator on Starknet, where you can effortlessly find the best yields across the entire Starknet ecosystem.
Our platform not only brings together top-performing projects in one convenient location but also offers tailored yield strategies designed to maximize your returns. With STRKFarm, you can optimize your investments and take your earnings to new heights 💹

Our vision
STRKFarm envisions to provide advanced DeFi solutions to Starknet users, starting with yield aggregation and optimizing user returns through automated vaults/strategies. The platform focuses on leveraging Starknet's scalability and low transaction costs to bring professional DeFi solutions to everyday onchain users.
By prioritising transparency, security, and user experience, STRKFarm aims to provide users with the best possible yield farming opportunities, fostering growth and innovation within the DeFi ecosystem.
Deep dive on existing strategies:
Right now, there are 2 types of strategies available on the dapp:
Auto-compounding strategy
Sensei - Delta neutral Lending
We’ll provide you a simple explanation on what goes behind the scenes of these strategies!

Auto-compounding strategy
In this strategy, we’ve created a vault which automatically claims your Defi Spring rewards and deposits back to the vault. Which means, it re-invests your STRK rewards every 7 days.
Here are other benefits which this strategy provides:
Maximised Returns: Automatically reinvesting yields ensures that your earnings continuously grow, leveraging the power of compound interest.
Time Efficiency: Eliminates the need for manual intervention to reinvest rewards, saving you time and effort.
Cost Efficiency: By automating the process, it minimizes transaction costs, especially on a scalable and low-fee network like Starknet.
Optimisation: Ensures that your assets are always working at their highest potential without requiring constant monitoring.

