Sofie Yang

on the atlas — 19

• The men who leave their spouses when they have a life-threatening illness | Women | The Guardian1 savers
• the math of perfectionism - Google Search1 savers
• A Pretty-Good Mathematical Model of Perfectionism | Measure of Doubt1 savers
• All About Network Effects | Future1 savers
• Choosing Your North Star Metric | Future3 savers
• Emergence - Where to Build GenAI Solutions in Healthcare1 savers
• Emergence - The 5Ms: How Emergence Evaluates Series A Pitches1 savers
• Prompt library3 savers
• The MBA Decision Guide for Product Managers — Diana Kimball Berlin2 savers
• Don’t Expect to Fix the Climate From a Cushy Office  | Lowercarbon Capital4 savers
• Mill: Overview | LinkedIn1 savers
• Eden Health: Concierge Health for Every Employee1 savers
• ROI | Health Note1 savers
• Health Note | Patient Notes that Write Themselves1 savers
• Creative Confidence by Tom & David Kelley1 savers
• SCAMPER - Improving Products and Services1 savers
• The Design Sprint — GV2 savers
• Does Bryan Johnson’s $2m biohacking routine actually work? We tested it to see | Hard Reset - YouTube1 savers
• Curius / Onboarding2621 savers

highlights — 5

• Studies on women with breast cancer show that they tend to feel guilt for burdening their caregivers, and overcompensate.

  The men who leave their spouses when they have a life-threatening illness | Women | The Guardian

• The flip side of this is that relationships tend to function well when the woman gets sick and requires intensive care from her partner. But in cases where caregiving is not necessitated, men tend to downplay a woman’s symptoms and class her as largely self-sufficient, expecting her to ask for help rather than proactively giving it.

  The men who leave their spouses when they have a life-threatening illness | Women | The Guardian

• For example, our investment in AI recruiter Mya was based on the incredible data moat they were building. Mya’s conversational AI powers millions of annual hiring conversations (in multiple languages) for over 120 of enterprise customers. Each conversation and outcome trains Mya and pushes the AI engine further ahead of competitors who have less proprietary data.

  Emergence - The 5Ms: How Emergence Evaluates Series A Pitches

• What I believe the MBA did help with was in making me a clear candidate for stretch opportunities. Beyond my day to day work, the MBA marked me as someone who was “ambitious,” “good with spreadsheets and slide decks,” and likely to be “comfortable with public speaking”

  The MBA Decision Guide for Product Managers — Diana Kimball Berlin

• Starting [at a young age] he’s read everything that he could find about business. The subject that interests him, he’s read newspapers, biographies, trade press. He went over to his grandfather who was a grocer and he read the progressive grocer magazine, and he read articles on how to stock a meat department... What he’s really done is he’s created this immense vertical filing cabinet in his brain of layers and layers and layers of files of information that he can draw back on now for more than 70 years worth of data.

  Curius / Onboarding