Spencer Bogart on the $20 Trillion in Store-of-Value Assets - Ep.138
Spencer Bogart, general partner at Blockchain Capital, the first VC firm to tokenize one of its funds, talks about how well offering tokenized shares has worked out, why it didn't do so for the following fund, the appeal of security tokens generally and what advantages tokenized securities offer over non-blockchain platforms like Second Market, in which investors can trade shares in private companies. He also explains what entrepreneurs are looking for from VCs now that they have more ways to raise from the crowd, how Blockchain Capital decides between investing in equity vs. tokens when there is an option, and why the firm believes there will only be five or fewer dominant blockchains. He describes why he thinks it's likely Bitcoin will take the lion's share of the market, noting its $200 billion market cap vs. the $20 trillion in other store-of-value assets such as gold, real estate and art, and whether or not it's possible to invest in Lightning, the second layer built on top of Bitcoin. We also cover the Bitcoin ETF proposals, stablecoins, how crypto might take off in video games and its 66x return within two years on its investment in Block.One.
Thank you to our sponsors!
Simbachain: https://simbachain.com
Kraken: https://kraken.com
CipherTrace: http://ciphertrace.com/unchained
Episode links:
Blockchain Capital: https://blockchain.capital/
Spencer Bogart: https://twitter.com/CremeDeLaCrypto
Unchained interview with Brock Pierce: https://unchainedpodcast.com/this-vc-is-sure-venture-capital-is-about-to-be-disrupted/
BCAP Q2 Nav: https://blockchainloop.com/blockchain-capital-releases-q2-2019-bcap-token-nav/
Upgrading of BCAP to Securitize platform: https://www.globenewswire.com/news-release/2018/09/04/1565117/0/en/BCAP-Tokens-to-be-Upgraded-Utilizing-Securitize-Platform.html
Funding of Securitize: https://www.coindesk.com/coinbase-backs-security-token-startups-12-75-million-funding-round
Blockchain Capital’s fourth fund: https://www.prnewswire.com/news-releases/blockchain-capital-closes-fund-iv-at-150-million-300617495.html
Story about Blockchain Capital trying to separate itself from Brock Pierce: https://decrypt.co/6876/is-blockchain-capital-trying-to-scrub-co-founder-and-mighty-ducks-star-brock-pierce-from-its-history
Interview with Brock Pierce in which he describes leaving Blockchain Capital: https://hackernoon.com/brock-pierce-interview-tales-from-the-bitcoin-floor-e479693a49bd
Lightning Network statistics: https://bitcoinvisuals.com/lightning
Tweets from LNBig on how they earned $0.10-$0.30 a day on Lightning fees: https://twitter.com/lnbig_com/status/1163055682964348934?s=20
https://twitter.com/lnbig_com/status/1159538637597487104?s=20
LNBig on how they spent $1,000 or so to open their Lightning channels: https://www.reddit.com/r/btc/comments/bxh0ny/lightning_network_capacity_takes_a_sudden_dive/eq9x4i9/
Profitability of running a lightning node: https://www.reddit.com/r/Bitcoin/comments/a9dmzw/how_profitable_is_running_a_lightning_node/
Letter to the SEC: https://blockchain.capital/examining-bitcoins-valued-attributes-a-letter-to-the-sec/
Blog post about Bitcoin’s likely dominance: https://blockchain.capital/the-past-future-of-blockchain-where-were-going-and-why/
Spencer's Reddit post with questions/concerns about MakerDAO: https://www.reddit.com/r/MakerDAO/comments/asb9n6/a_couple_questions_concerns_about_maker_and_mkr/
+ tweetstorm: https://twitter.com/cremedelacrypto/status/1103428046621618178
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.