What the Comments Reveal (Beyond Views & Likes)
2 M views and 44 K likes on “Female-Specific Exercise & Nutrition for Health, Performance & Longevity | Dr. Stacy Sims” from Andrew Huberman (as of 2025-10-07). From 2 690 total comments, Shono AI analyzed a sample of 1 000 to understand what engaged viewers really think and ask.
Sentiment Snapshot
The tone skews clearly positive, with over half the comments expressing appreciation and constructive curiosity.
Emotional Pulse: Curious Leads the Way
Curiosity and gratitude dominate, showing that viewers found the episode enlightening and actionable while seeking even deeper guidance. Minor concern and frustration highlight areas needing clearer protocols.
Comment Breakdown: Questions and Compliments Dominate
A mix of genuine questions and heartfelt praise dominates, followed by rich personal stories and moderate constructive feedback.
Andrew Huberman’s Engagement in the Comments
Roughly 1 in 330 comments received any creator interaction, indicating very low direct engagement within the thread.
Burning Questions
Viewers crave exact training blueprints based on Dr. Sims’ principles — especially for women 40 and beyond. They ask about interval counts, how to pair HIIT with strength, and whether rowing or ski ergs substitute for running. Women post-hysterectomy and those with PCOS seek non-cycle cues, and many request content for pregnant, breastfeeding, and teen athletes.
Nutrition questions focus on precise protein targets, timing pre/post-workout intake, and brand-safe supplement guidance for creatine, ashwagandha, and beta-alanine. Recovery topics span sleep quality, heat/cold adaptations, and how to modify fasting for menopause or medical conditions. Accessibility requests include Spanish subtitles and clearer metric examples.
Feedback and Critiques
Audiences found the episode exceptionally actionable and well-structured, often taking notes and building plans around Dr. Sims’ advice. They praised the clarity on fueling, menstrual phase adjustments, and strength training across life stages.
Critiques center on nuance and accessibility: some wanted a clearer distinction between fasting and exercise adaptations, more contextual metrics, injury-aware protocols for postmenopausal women, and simpler language to aid comprehension for global audiences.
High Praise
Viewers hailed the episode as a game changer — clear, science-based, and immediately usable. They commended the host’s targeted questions and Dr. Sims’ ability to translate complex science into actionable steps. Many called it the best installment to date and planned to rewatch and share it.
Gratitude flowed for women-centric science and representation. Viewers celebrated Dr. Sims as an inspiring figure and urged for more episodes centered on female physiology and aging strong with confidence.
Opportunities for Future Content
- The Women’s Training Playbook by Life Stage (series): 20–30, pregnancy, postpartum, perimenopause, menopause, 60s–70s+, and teen girls — each with training templates, fueling rules, and case studies.
- Fasted vs Fueled for Women: context-based framework for performance vs metabolic health with decision trees and cultural fasting adaptations.
- HIIT, SIT & Jump Training for Women 40+: clear protocols, pairing guides, and injury-risk management for busy schedules.
- Sleep, Stress & the Menopausal Brain: translate cycle and temperature science into better sleep and cognitive protection tips.
- Training Through Pregnancy and Breastfeeding: safe strength and nutrition framework with hydration and recovery checklists.
- Women-Specific Supplement Playbook: dose, timing, safety guidelines with references and goal-based stacks.
Wrapping Up
This episode demonstrates how deep science and female-specific context can inspire massive viewer curiosity and trust. Increasing creator interaction and simplifying technical jargon could strengthen connection further. Shono AI amplifies these audience signals to help creators translate feedback into their next breakthrough video.
About This Analysis
Methodology & Limits
The analysis covers 1 000 unique comments from 2 690 total, with duplicates and spam removed. AI models classified each by sentiment, emotion, and type before aggregating results.
Engagement rates reflect the sampled set only. Snapshot as of 2025-10-07; metrics may shift as new comments arrive.
