Solana Breakout Hackathon Submission

0:00-0:20 — Problem Statement

"In 2024, phishing attacks have cost the crypto industry over $1 billion, with Solana users losing $4.17 million to scams like Rainbow Drainer. Over 4,000 victims have been affected, and 72% of users cannot identify sophisticated phishing attempts."

0:20-0:50 — Solution Overview

"Iteration 0001 is an AI-powered browser extension that proactively analyzes webpage code before users connect their wallets. Unlike traditional security tools that only check transactions, we prevent scams at their source by detecting malicious code patterns with 96% accuracy."

0:50-1:20 — Key Features & Demo

"Our solution offers real-time webpage analysis, transaction simulation, and user-friendly alerts. [Brief demo showing the extension detecting a phishing site] In our hackathon testing, we prevented 94% of scams with only a 0.5% false positive rate."

1:20-1:40 — Market Opportunity & Vision

"With Solana's user base growing 580% in 2024 and TVL exceeding $4.8 billion, security remains the #1 barrier to mainstream adoption. By addressing this critical need, Iteration 0001 can help Solana achieve its goal of 5M daily active users."

1:40-2:00 — Team & Call to Action

"Our team combines expertise in Solana development, machine learning, and security research. We're seeking support to expand our solution to all major Solana wallets and establish a new security standard for the ecosystem."

0:00-0:30 — Technical Overview

"Iteration 0001 is built as a browser extension that integrates with Solana wallets. Our architecture consists of three main components: the AI code analyzer, transaction simulator, and on-chain threat database."

0:30-1:00 — Solana Integrations

"We leverage Solana's unique architecture in several ways: First, our transaction simulator uses Solana's Program Library (SPL) to decode and analyze transaction instructions. Second, we maintain an on-chain threat database using a custom Solana program that stores known malicious contracts and domains."

1:00-1:45 — Feature Demonstration

"Let me demonstrate our key features: [Show the extension detecting a Rainbow Drainer site] Here, our AI has identified obfuscated code attempting to drain the wallet. [Show transaction simulation] Now, I'll show how we decode complex SPL instructions into human-readable warnings."

1:45-2:15 — Technical Challenges & Solutions

"The biggest technical challenge was developing an AI model that could identify malicious code patterns with high accuracy while maintaining a low false positive rate. We solved this by training on the SolPhishDataset and implementing a multi-stage verification process."

2:15-2:45 — Future Development

"Our roadmap includes expanding wallet integrations, developing an SDK for dApp developers, and proposing a Solana Improvement Proposal (SIP) for standardized transaction security protocols."