The problem Nectar solves

Problem

1. Current DEXs are Limited by Operational and Financial Inefficiencies
   • High operational costs due to gas fees, MEV, impermanent loss, slippage, and latency make DEXs inefficient.
   • Uniform yield models on AMM DEXs cater to retail investors, offering little incentive for trading experts.
2. Market Dominance by Top Firms
   • The market is monopolized by a few trading firms, leaving 90% of experts without tailored services.
   • Raising funds is challenging for new entrants without a proven track record, requiring extensive due diligence and costly contracts.
   • This concentration of power stifles competition and innovation, further alienating trading experts.

Solution

Nectar redefines on-chain trading, creating a platform where trade experts thrive and drive innovation. Our approach focuses on three pillars:

1. Capital Efficiency Through Innovation
   • Unlike AMM DEXs, Nectar offers active order book management. This approach empowers trading experts to deploy sophisticated strategies, yielding smarter and more lucrative opportunities.
   • Both institutional and retail investors benefit from aligning with trading experts whose strategies match their investment goals.
2. Technological Advancements for Cost Efficiency
   • Nectar addresses technical limitations that hamper on-chain trading platforms. Our proprietary technology reduces gas fees, minimizes slippages, eliminates impermanent loss, and protects against MEV attacks and latency. This suite of solutions ensures a cost-efficient trading environment appealing to new entrants and seasoned professionals.
3. Customizable Fundraising without Custody Risks
   • Nectar enables trading experts to secure funding on their terms directly on-chain, avoiding custody risks. LPs control withdrawals through smart accou

Challenges we ran into

The primary challenges we encountered stemmed from the behavior of RPC nodes. Different node providers often send varying responses, causing inconsistencies. A call supported by Provider A may not be supported by Provider B. Additionally, rate-limiting of RPC calls posed another significant hurdle. To overcome this, we had to optimize the number of RPC calls.

Another technical challenge was handling situations where RPC nodes did not respond. This caused swap orders to become unreliable. Fixing this issue in a stateless manner added to the complexity of the solution. Through persistent testing and optimization, we managed to mitigate these issues, ensuring smooth and consistent operations.