157. Motherhood Mondays with Julia Berteletti and Laura Green
"I'm wearing these massive pads that are like six inches deep and waddling around the house. I think I thought the first week would be rough. But it was a month out and I'm still rocking these massive pads. I was never told about that."
Every week on these Motherhood Mondays episodes, I've asked my guests, "Who's in your village?" I feel so lucky to be able to say that the two women on today's show — Laura Green and Julia Berteletti — are in my village. Laura lives in Boston, and is mom to 10-month-old Jack. She's a part-time physical therapist and the "community boss" for November Project, and is "very creative" about how she gets her work hours in while Jack does a part-time nanny share. Julia lives in Denver, CO, is mom to 8-month-old Max, and works full-time in an office while Max is in daycare. On this episode, we talk like we do every day, sharing perhaps too much about everything from breastfeeding, identity loss, and body image, to giving birth, relationships, emotional labor, and that first postpartum poop. We also talk about schedule-related anxiety, postpartum running, and guilt.
Thank you to Sweaty Betty for sponsoring Motherhood Mondays on the Ali on the Run Show! Go to sweatybetty.com and use code ONTHERUN for 20 percent off your purchase.
What you'll get on this episode:
- Getting to know Laura (3:00)
- Getting to know Julia (8:20)
- Breastfeeding and boob stuff (13:20)
- How prepared did we feel for the postpartum period? (21:47)
- Relationship stuff (35:00)
- On postpartum running and body image (55:00)
What we mention on this episode:
Laura's childbirth story via Wisconsin Notes
Kristin Mallon on Episode 136 of the Ali on the Run Show
Lauren Fleshman on Episode 103 of the Ali on the Run Show
Work, Play, Love with Lauren Fleshman and Jesse Thomas
Follow Laura:
Follow Julia:
Follow Ali:
Listen & Subscribe:
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.
Behavioral mechanisms, biases, motivation, habits, emotions, interventions, and evidence limitations.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
Repeatable methods, frameworks, mental models, processes, and systems.
Communication patterns, conflict, boundaries, expectations, repair methods, and contextual limitations.
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.