494. Friendship Fest with Jenny Grimshaw & Grace Keller
"I don't think I would've done it if Grace hadn't. I remember saying two things: One, 'The data says you can do it.' And two, thinking about Grace."
Jenny Grimshaw and Grace Keller have only been friends for a few years, but in that time, they've helped each other dream bigger and chase down exciting running goals. Their first endeavor together: to qualify for the 2020 Olympic Marathon Trials. On this episode, Jenny and Grace talk about meeting when they were both living, working, and running in New York City, and share how they're now making a long-distance friendship work. (Jenny lives in San Francisco with her husband and their new baby, Tate, and she works for Glossier. Grace and her husband, a professional baseball player, live in Charlottesville, VA, where she works in the finance and investment banking industry.) Their friendship is a special one that's rooted in their unwavering support and admiration for one another. (Be prepared to shed a tear or two when Grace talks about what she wrote in her journal after Jenny raced that California International Marathon.)
SPONSOR: Tracksmith. Click here and use code ALI22 to get free shipping. Plus, Tracksmith will donate 5% of your purchase proceeds to the Brave Like Gabe Foundation.
What you'll get on this episode:
- How Grace and Jenny met (5:25)
- How Grace and Jenny became friends (9:45)
- On training to qualify for the Olympic Marathon Trials (14:30)
- Reflecting on Grace's Philadelphia Marathon in 2019, when she qualified for the Olympic Trials (22:00)
- Looking back on Jenny's CIM race in 2019, when she qualified for the Olympic Trials (31:45)
- What it was like getting to run the Olympic Marathon Trials together (35:15)
- How Jenny and Grace got so close (48:15)
- Why Jenny and Grace's recent visit in San Francisco was so powerful and important (51:30)
- What's next on the run for Jenny and Grace (58:00)
- Jenny and Grace's proudest moments in their friendship (1:02:20)
Check out:
Jenny Donnelly on Episode 215 of the Ali on the Run Show
Jenny & Judi Donnelly on Episode 193 of the Ali on the Run Show
Follow Jenny:
Follow Grace:
Follow Ali:
- Instagram @aliontherun1
- Join the Facebook group
- Twitter @aliontherun1
- Support on Patreon
- Blog
- Strava
SUPPORT the Ali on the Run Show! If you're enjoying the show, please subscribe and leave a rating and review on Apple Podcasts. Spread the run love. And if you liked this episode, share it with your friends!
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.