revenue

also referred to as: revenues

5 statements across 5 episodes · 1 bullish · 3 bearish · 5 people on the record · first statement Dec 17, 2023 by Jason Fried · across every show →

Everything said about revenue, oldest first

Dec 17, 2023 negative
Insight
Fried: High revenue is meaningless if a company still goes bankrupt
“Revenues don't really matter because you can go broke generating a lot of money.”
Jason Fried Dec 17, 2023 ▶ 5:44 Jason Fried challenges your thinking on fundraising, goals, growth, and more
Jun 23, 2024 negative
Insight
Vora: Directing all teams toward top-line revenue causes 'toddler soccer'
“Sometimes when you give people direction, you're like, okay, everybody just go get revenue, or, you know, everybody just go get GMV. And it seems obvious, because that's the thing you have to do, right, as a company. But there's only a few places where you're …”
Ami Vora Jun 23, 2024 ▶ 56:35 Making an impact through authenticity and curiosity | Ami Vora (CPO at Faire, ex-WhatsApp, FB, IG)
Sep 5, 2024 negative
Insight
Ellis: North Star metrics should correlate with revenue, not be revenue
“It should correlate to revenue growth, but not necessarily like rev revenue. Shouldn't be the North star metric, but you know, as you grow value across your customer base, you should be able to grow revenue at the at the same rate.”
Sean Ellis Sep 5, 2024 ▶ 1:20:46 The original growth hacker reveals his secrets | Sean Ellis (author of “Hacking Growth”)
Jul 3, 2025
Assertion Supported
Wilkinson: Tiny Generates Nearly $300M in Revenue Across Bootstrapped Portfolio
“I mean, we bootstrapped the entire business and now across all of our companies, we do almost three hundred million dollars in revenue.”
Andrew Wilkinson Jul 3, 2025 ▶ 26:14 I’ve run 75+ businesses. Here’s why you’re probably chasing the wrong idea. | Andrew Wilkinson
Aug 24, 2025 bullish
Prediction Not checkable as stated
Lord: Handshake AI will exceed $100M revenue in year one
“I think we'll blow through that number, but yeah.”
Garrett Lord Aug 24, 2025 ▶ 36:43 Inside the expert network training every frontier AI model | Garrett Lord
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