Mina Radhakrishnan, Uber's first head of product, says Travis Kalanick taught her to ask 'how can you do it?' rather than 'can you do it?'
Her startup Different went through voluntary administration, and she worked full-time as a recruiter for employees, saying recovery from failure is what matters.
She now runs a one-person company with AI as cofounder and invests in founders with curiosity and docs over decks.
Uber's first product head now builds alone with AI
This episode is about how Mina Radhakrishnan's career arc explains her bet on AI-native building. She went from Goldman Sachs to Google to Uber when it was a 20-person black car company, then spent seven years on Different, which ended in voluntary administration. Her conclusion is to build with less, and that what matters is how you recover from failure. She now runs a one-person company with AI as her cofounder and backs curious founders at angel and seed.
Takeaways
AI is splitting engineering into two tracks. Software engineering survives, but with far fewer junior roles and bootcamps no longer worth the money. The field divides between people who want to be excellent engineers and people who become builders with Cursor and Claude.
Travis Kalanick taught her to ask how. Uber's approach was to ask how a thing could be done rather than whether. He called out her failed experiment at an all-hands, then told her he loved her golden ticket discount test, and she says he made her tougher.
Fundraising is for companies already growing. The biggest lesson from seven years at Different was building with less. She argues venture investors wrongly assume only already-growing companies are worth backing, leaving no path for startups to become scale-ups.
What matters is how you recover. Different went through voluntary administration and she felt she had let everyone down. She spent a couple of months as a full-time recruiter for her employees, and her identity had been tied to the company.
She now runs a one-person company. She is designer, developer, product manager and marketer, with AI as her cofounder and every employee she does not have. Her stack is Cursor, Claude and a custom fine-tuned model.
She backs curious founders at angel and seed. The first trait she looks for is curiosity and a willingness to learn, because she sees AI as a revolution rather than an evolution. She wants docs over decks and invests in the person.
From Goldman to Uber at 20 people
Her immigrant parents expected a doctor. A first biology class changed her mind, and she had already been programming in BASIC on a computer her father bought.
A Cornell co-op took her to Goldman Sachs, where she learned to work hard and build resilience. She left for Google because Goldman has tech but is not a tech company.
Days before starting at Michigan's Ross business school, a Google recruiter called about the APM program Marissa Mayer ran and personally interviewed for. She dropped out the next day.
She joined a fashion e-commerce startup, then Uber in 2011, when it was a 20-person black car company. Her mother was not pleased.
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On this episode 3
Show 1
She went from Goldman at 50,000 people to Google at 20,000, then to a 200-person company, then to 20. She chose interest and joy over status.