Why TBD's Mike Brock Is Skeptical That Decentralized Applications Will Become Popular - Ep.337
Mike Brock, general manager of TBD at Block, discusses how TBD’s yet-to-be-released DEX is structured, explains why he thinks decentralized solutions do not necessarily need blockchains, and tells the humorous story about how Jack Dorsey convinced him to start working on a Bitcoin project. Show highlights:
- what TBD is and what its relation to Block (formerly Square) is
- how TBD differs from Spiral, another Block-based Bitcoin firm
- how tbDEX works and why building on-ramps and off-ramps to crypto is so important
- who will be supplying the liquidity for tbDEX
- why Mike is passionate about creating digital identity infrastructure
- how tbDEX will incorporate digital identity tooling into its protocol
- what Mike thinks about Vitalik Buterin’s misgivings concerning tbDEX’s design
- why Mike fell down the rabbit hole (thanks Jack Dorsey)
- what lessons Mike learned at CashApp that he is using at TBD
- which stablecoin TBD will be working with
- why Mike is not a believer in DeFi
- why tbDEX (or, seemingly, other TBD products) will not utilize tokens
Thank you to our sponsors!
Crypto.com: https://crypto.onelink.me/J9Lg/unconfirmedcardearnfeb2021
Beefy Finance: https://beefy.finance
Cross River Bank: https://crossriver.com/crypto
Galaxis: https://galaxis.xyz/
Episode Links
Mike Brock
- Twitter; https://twitter.com/brockm
- LinkedIn: https://www.linkedin.com/in/mike-brock-9030813/
- Introduction to TBD: https://twitter.com/brockm/status/1415795490914856961
TBD
- Twitter: https://twitter.com/tbd54566975?lang=en
- GitHub: https://github.com/TBD54566975/tbdex-whitepaper
- Whitepaper
- Careers: https://block.xyz/careers?search=tbd
- Other
Other Topics
- Spiral (lightning development). Brock helped set up Spiral.
-
- Twitter: https://twitter.com/spiralbtc
- Website: https://spiral.xyz/
- CashApp
-
- Impressive BTC revenue: https://decrypt.co/93793/block-bitcoin-earnings-cash-app-hit-nearly-2-billion-q4
- Lightning network: https://blockworks.co/cash-app-integrates-lightning-network-for-bitcoin-payments/
- Aaron Levie
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.
Technologies, AI models, technical methods, capabilities, limitations, and adoption implications.
Repeatable methods, frameworks, mental models, processes, and systems.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
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.