Introduction to Speedrun Ethereum Challenges
summary
Speedrun Ethereum presents hands‑on challenges from NFTs and a Uniswap‑style DEX to overcollateralized lending and binary prediction markets, using Scaffold and on‑chain deploys. It shows Aave‑scale numbers (V3 ~26B TVL, ~23B on mainnet), explains collateral haircuts (example: $200 collateral with 50% discount allows 80% borrow → $80 debt; a $50 price drop makes discounted collateral $75 → liquidatable), covers liquidation incentives, flash loans, AMM vs order‑book designs, and the central role of price oracles and oracle‑manipulation risk.
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chapters (16)
- 0:00Introduction
- 0:44Overview of Speedrun Ethereum Challenges
- 1:33Challenge Examples: NFTs, Staking, Token Swaps, DEX
- 2:22Advanced Challenges: Lending, Prediction Markets, Security
- 3:13Overcollateralized Lending Explained
- 6:17Lending, Borrowing, and Liquidation Mechanics
- 10:12Key Components of Lending Protocols
- 13:05Flash Loans and On-chain Innovations
- 14:31Risks in Lending Protocols
- 15:29Why Learn Overcollateralized Lending
- 16:27Introduction to Prediction Markets
- 17:41Binary Prediction Markets and Resolution
- 20:07Building Blocks of Prediction Markets
- 23:44Challenges and Human Factors in Prediction Markets
- 24:59AI Agents and Future of Forecasting
- 25:24Closing Thoughts and Q&A
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