“call it Tinder 2.0, one of the best sources of information to do that is their chat GPT histories.”
Tinder
2 recommend/use · 6 sourced episodes
Every sourced reference
Short attributed excerpts only. Timestamps are approximate.
“I worked with Tinder for a couple years”
“So maybe like Tinder or Snapchat, find love.”
“what do you think about Tinder like India is famous for arranged marriages”
“Ravi was Chief product officer at Tinder”
“I was the chief product officer at Tinder”
“independently started working as a full-time advisor with companies like you know eventbrite tinder thumbtack canva”
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Conditional-Layer Validation
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Conversation as Ping-Pong (Give-to-Get)
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De-Risking the High-Stakes Meeting
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Excellence Over Speed (The Thought-Experiment Filter)
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Exponential Feedback via the Competency Lens
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Frontier of Understanding (Goal by Risk Type)
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Inverted Time-to-Value
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Kindle and Fire Growth Strategies
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Scheduling by Deference
The one asking does the work: let the busier person set the time, and give real options.
SEO Conversion-Metric Rigor
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Show Don't Tell (The Wall)
Lay out the entire user journey — pixel by pixel, minute by minute — on one physical wall.
The 12 Product Management Competencies
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The Story Chapters Framework for Executive Communication
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The Strategy-Isn't-Done-Without-Wireframes Rule
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Top-Down TAM SEO Forecast
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Viral Hoax Counter-Attack
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