How Synthetix Became the Second-Largest DeFi Platform - Ep.148
Kain Warwick, founder of Synthetix, talks about synthetic asset issuance platform, which enables people to create tokens that track the price of assets in traditional and crypto finance. We discuss the various types of assets available, why changing the monetary policy helped the ecosystem take off, why people would buy synthetic Bitcoin over Bitcoin itself, and why Uniswap has been pivotal to Synthetix's success. He covers the role the SNX token plays, why people minting synths must be over-collateralized by about 700%, and some of the changes coming down the pike, including futures, tweaks to the inflation rate, and a new oracle system. He also explains what happened when a trader made the system insolvent — and how they negotiated with the trader to keep it alive — how he thinks about decentralization and why the system's governance might one day be handled by a DAO.
Thank you to our sponsors!
GiveWell: http://givewell.org/unchained
Kraken: https://kraken.com/
CipherTrace: http://ciphertrace.com/unchained
Crypto.com: http://crypto.com/
Episode links:
Synthetix: https://www.synthetix.io/
Synthetix on Twitter: https://twitter.com/synthetix_io
Kain Warwick: https://twitter.com/kaiynne
Havven transforming into Synthetix: https://blog.havven.io/havven-is-transforming-into-synthetix-2fdf727b8892
Synthetix overview: https://blog.havven.io/synthetix-overview-f4a5a6c41210
How Synthetix works: https://www.synthetix.io/how-it-works/
Synthetix lite paper: https://www.synthetix.io/uploads/synthetix_litepaper.pdf
Changing monetary policy: https://blog.synthetix.io/synthetix-monetary-policy-changes/
Oracle hack: https://www.coindesk.com/synthetix-trader-rolls-back-broken-trades-that-netted-1-billion-profit
Synthetix response to oracle incident: https://blog.synthetix.io/response-to-oracle-incident/
How staking works on Synthetix: https://www.stakingrewards.com/asset/synthetix-network-token
https://help.synthetix.io/hc/en-us/articles/360020245314-How-can-I-earn-Synth-exchange-rewards-
Reddit complaint by trader who initially made the system insolvent: https://www.reddit.com/r/ethereum/comments/d4edxm/the_synthetix_dapp_deleted_my_balance/
Efforts to resolve the front running problem: https://sips.synthetix.io/sips/sip-6
Synthetix and Chainlink: https://blog.synthetix.io/synthetix-and-chainlink/
Kain’s tweets on the censorship vector stack: https://twitter.com/kaiynne/status/1197265019169169409?s=20
https://twitter.com/kaiynne/status/1197265044204998656?s=20
Unconfirmed episode on Uniswap: https://unchainedpodcast.com/how-uniswap-quickly-became-one-of-the-most-popular-dexes/
Defiant interview: https://thedefiant.substack.com/p/theres-a-pipeline-of-etf-like-tokens
Learn more about your ad choices. Visit megaphone.fm/adchoices
Available Results
Generated results are saved to your library for reuse and search.
Choose Template
Pick the result you want. You can review provider and model before generating.
A concise first-pass summary for understanding the episode quickly.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Explicit actions, next steps, habits, recommendations, and things to avoid.
Repeatable methods, frameworks, mental models, processes, and systems.
A dedicated inventory of concrete resources named in the episode.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Explicit actions, next steps, habits, recommendations, and things to avoid.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Scientific findings, mechanisms, studies, hypotheses, and the limits of the evidence discussed.
Technologies, AI models, technical methods, capabilities, limitations, and adoption implications.
Investment theses, assets, catalysts, valuation reasoning, time horizons, and risks.
Chronologies, actors, causes, consequences, turning points, and competing historical interpretations.
Policies, proposals, stakeholders, arguments, implementation constraints, and predicted effects.
Career paths, skills, hiring signals, workplace decisions, transitions, and limitations of the advice.
Behavioral mechanisms, biases, motivation, habits, emotions, interventions, and evidence limitations.
Economic mechanisms, incentives, indicators, market structure, forecasts, and uncertainty.
Leadership principles, team systems, organizational design, culture, feedback, and failure modes.
Audience, positioning, messaging, acquisition, retention, experiments, metrics, and failed approaches.
Teaching methods, learning strategies, practice, feedback, assessment, and effectiveness evidence.
Theses, premises, arguments, objections, values, thought experiments, and unresolved questions.
Communication patterns, conflict, boundaries, expectations, repair methods, and contextual limitations.
Books, papers, authors, courses, and other learning resources mentioned in the episode.
Repeatable methods, frameworks, mental models, processes, and systems.
Explicit actions, next steps, habits, recommendations, and things to avoid.
Memorable statements and important claims with attribution and source context.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.