SyndicateDAO Is Launching Web3 Investment Clubs. Could They Disrupt VCs? - Ep.312
Will Papper and Ian Lee, the two co-founders of Syndicate, join Unchained to announce the release of Syndicate’s new product: Web3 Investment Clubs, an innovation they believe could end up disrupting the web2 investment world, along with the entire venture capital industry. For example, with Web3 Investment Clubs, users will be able to turn an Ethereum wallet address into an investing DAO with just a few clicks, transfer funds without going through banks, and manage a cap-table directly on-chain. Show topics:
- what differentiates a Web3 Investment Club club from a normal investment club
- what on-chain tools Syndicate has built for Web3 Investment Clubs
- how Web3 Investment Clubs work within existing regulations
- how Ian and Will met and what inspired them to create Syndicate
- whether Syndicate plans to decentralize
- why Will and Ian believe investment DAOs will disrupt the venture capital industry
- why venture capital firms invested in Syndicate, a company built to disrupt them
- what Will learned from building Adventure Gold (AGLD), the governance token for Loot
- what plans Syndicate has for 2022
Thank you to our sponsors!
Crypto.com: https://crypto.onelink.me/J9Lg/unconfirmedcardearnfeb2021
Beefy Finance: https://beefy.finance
Alchemy Pay: https://alchemypay.org
Episode Links
Will Papper
- Twitter: https://twitter.com/WillPapper
- LinkedIn: https://www.linkedin.com/in/wpapper
Ian Lee
- Twitter: https://twitter.com/iandaos
- LinkedIn: https://www.linkedin.com/in/mrianlee/
Syndicate:
- Twitter: https://twitter.com/SyndicateDAO
- Website: https://twitter.com/SyndicateDAO
Miscellaneous
- History of AGLD
- Will Papper’s previous Unchained appearance
- Will DAOs disrupt crypto venture capital?
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.