इस एपिसोड के बारे में
Ash Maurya is a practitioner and entrepreneur. Author of Running Lean, Scaling Lean and the Lean Canvas, built on top of the Business Model Canvas. Ash is also the founder of LEANSTACK.
In this session, we focused on continuous innovation and scaling lean.
Contents
- How did we go from lean manufacturing to continuous innovation?
- What’s the key difference between an entrepreneur and a scientist?
- What are the key ingredients for an effective entrepreneurial experiment?
- Why monetization is a building block you want to test early on?
- What can we learn from the early Facebook on monetization and execution?
- How did Tesla instead execute a staged rollout?
- How do you go from problem/solution fit to scale?
- When is the right time, if there’s any, to take venture capital money?
- When does it make sense to bootstrap?
- How do you build the optimal business model?
- How is traction different from revenue and why is it a key metric?
- What is throughput accounting, and how it works?
- How does the 10x growth model work?
- Why do we need to remove failure from our vocabulary?
- Key takeaways
अंग्रेज़ी
संयुक्त राज्य अमरीका
अनुलिपि 🔗
Are you the producer of this podcast?
Add a podcast transcript
Need Audio-to-Text?
Transcribe with Listen411 in Just 60 Seconds
इस पॉडकास्ट के अन्य एपिसोड
How To Redefine Your Career In The AI Era:
https://thebusinessengineer.org/posts/moving-through-complexity
Listen to the full story of Silicon Valley with Federico Faggin:
https://open.spotify.com/episode/2WkyQZmbbBzSUu7KSbXFNX?si=dsel-7bKRIeLocnHNBwb7g
In this episode, we cover the following:
- Neural networks, past vs. present
- How human and artificial intelligence are fundamentally different
- What…
Full description here:
https://thebusinessengineer.org/posts/dismantling-google
Read the full story here:
https://thebusinessengineer.org/profile
अस्वीकरण: इस पृष्ठ पर एम्बेडेड पॉडकास्ट और कलाकृति Gennaro Cuofano से हैं, जो इसके मालिक की संपत्ति है और Listen Notes, Inc. से संबद्ध या समर्थित नहीं है।
संपादित करें
पॉडकास्ट डेटाबेस को अपडेटेड रखने में मदद के लिए धन्यवाद।
