No Crypto at the Dinner Table!
It’s our annual Thanksgiving special! We’ve got a look back at the year that’s been, some things we’ve gotten right, some things we haven’t, some tips for toys this holiday season and some things we’re thankful for.
(00:21) Bill Mann and Jason Moser discuss:
- Why it doesn’t feel like the market is up 18% YTD and their slices of humble pie this Thanksgiving.
- The reasons they’re thankful for Cadence Design Systems, CRISPR, and our podcast listeners around the globe.
- The no-go topics at this year’s dinner table – crypto and weight-loss drugs.
(19:11) James Zahn, Editor in Chief at The Toy Book, shares the toys and brands to watch this holiday season.
(32:48) Jason and Bill break down two stocks on their radar: Samsara and Domino’s.
Catch a picture of the new Domino’s delivery oven bike here.
Stocks discussed: CDNS, CRSP, IOT, DPZ
Host: Dylan Lewis
Guests: Bill Mann, Jason Moser, James Zahn, Mr. Gobbler
Engineers: Dan Boyd, Rick Engdahl
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.
Investment theses, assets, catalysts, valuation reasoning, time horizons, and risks.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
Economic mechanisms, incentives, indicators, market structure, forecasts, and uncertainty.
Audience, positioning, messaging, acquisition, retention, experiments, metrics, and failed approaches.
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.