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“What is a startup?”
Week 1
Definition of startup
Law firm
Human resources
Cafe
Retail
Food
Definition of startup
Law firm -> Atrium, Docusign
Human Resources -> LinkedIn, Gusto
Cafe -> Cafe X, Luckin Coffee
Retail -> Amazon, Shopify
Food -> Zume, Uber Eats
Startup = Growth
What is a venture backed business?
Lessons Learned:
How I failed my businesses and startups
Event organizing:
Crazy star
Highlights
Good:
- 200 people matchmaking event
- Four times a year
- Per event, revenue was 10k
- Yearly income was over 40k USD
for three years
- Very very good retention rate
(repeat customers)
Bad:
- Didn’t scale
- Didn’t have a scalable business
model
- Didn’t have any way to leverage
customer’s love and feedback
Dropoff
Highlights
Good:
- Faced the problem and knew the
problem
- Developed a service to sell before
building something (corporation,
website, product)
- Designed a user experience
- Knew where to get customers
- Revenue since day one
Bad:
- Didn’t have an engineer
- Had “Co-Founder”
- Thought about “competitor” too
much
Askompass
Highlights
Good:
- Had a team
- Pitched to investor
- Shipped the product
- Spoke to many Japanese tour
guides, understood market
Bad:
- There is no use-case
- There are no data
- Not sure there is a need or not
Tastexpresso
Highlights
Good:
- Joined Yelp Hackathon
- Launched the product
- Tested the ideas with users
- Got user interviews for the product
- Got 50 users
- Made the database by ourselves
Bad:
- Weekly retention was 0%
- Relied only on API for increasing
database
- Didn’t think about the user’s
motivation for coming back to the
product
Foxsy
Highlights
Good:
- Got a million users
- Became an influencer for a new
platform
- Had a clear business model
- Tested the business model, 1.7%
click rate for branded ads
- Raised money from investors
- Kept talking to users pre-launch
and post-launch
Bad:
- The platform didn’t grow
- Did not build the sticky product
before scaling
- Took for granted the thing the
investor said
- Could not close acquisition
Why I failed
● My benchmarks were wrong (find the co-founder, have a technical person,
raise money from VCs, and have a scalable product since Day 1)
● Hired the wrong co-founder
● Didn’t test idea as a hypothesis before building product
● Focused on wrong metrics (vanity metrics)
● Didn’t research competitors properly and deeply
● Didn’t know platform risk (API regulation)
● Didn’t focus on specific users who loved the product a lot
● Investor relationship and how to raise money
Lessons learned
● Don’t believe startup myths
● Test your hypothesis
● Do something that doesn’t scale
● Have a lean mindset
● Hack your ideas and processes
● Build something people really love
● Have right metric and growth equation
● Find out the risk: market risk or execution risk
● Ask the right questions to the right people
● Create a network: investors and experienced entrepreneurs who went through
the same process
Test your hypothesis
● Who has a problem (describe user or customer persona)
● What is the problem (simple sentence)
● And why is there a problem now?
(Don’t think about the solution yet)
Any questions?

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Week 1 Intro: What is a Startup?

  • 1. “What is a startup?” Week 1
  • 2. Definition of startup Law firm Human resources Cafe Retail Food
  • 3. Definition of startup Law firm -> Atrium, Docusign Human Resources -> LinkedIn, Gusto Cafe -> Cafe X, Luckin Coffee Retail -> Amazon, Shopify Food -> Zume, Uber Eats
  • 5. What is a venture backed business?
  • 6. Lessons Learned: How I failed my businesses and startups
  • 8. Highlights Good: - 200 people matchmaking event - Four times a year - Per event, revenue was 10k - Yearly income was over 40k USD for three years - Very very good retention rate (repeat customers) Bad: - Didn’t scale - Didn’t have a scalable business model - Didn’t have any way to leverage customer’s love and feedback
  • 10. Highlights Good: - Faced the problem and knew the problem - Developed a service to sell before building something (corporation, website, product) - Designed a user experience - Knew where to get customers - Revenue since day one Bad: - Didn’t have an engineer - Had “Co-Founder” - Thought about “competitor” too much
  • 12. Highlights Good: - Had a team - Pitched to investor - Shipped the product - Spoke to many Japanese tour guides, understood market Bad: - There is no use-case - There are no data - Not sure there is a need or not
  • 14. Highlights Good: - Joined Yelp Hackathon - Launched the product - Tested the ideas with users - Got user interviews for the product - Got 50 users - Made the database by ourselves Bad: - Weekly retention was 0% - Relied only on API for increasing database - Didn’t think about the user’s motivation for coming back to the product
  • 15. Foxsy
  • 16. Highlights Good: - Got a million users - Became an influencer for a new platform - Had a clear business model - Tested the business model, 1.7% click rate for branded ads - Raised money from investors - Kept talking to users pre-launch and post-launch Bad: - The platform didn’t grow - Did not build the sticky product before scaling - Took for granted the thing the investor said - Could not close acquisition
  • 17. Why I failed ● My benchmarks were wrong (find the co-founder, have a technical person, raise money from VCs, and have a scalable product since Day 1) ● Hired the wrong co-founder ● Didn’t test idea as a hypothesis before building product ● Focused on wrong metrics (vanity metrics) ● Didn’t research competitors properly and deeply ● Didn’t know platform risk (API regulation) ● Didn’t focus on specific users who loved the product a lot ● Investor relationship and how to raise money
  • 18. Lessons learned ● Don’t believe startup myths ● Test your hypothesis ● Do something that doesn’t scale ● Have a lean mindset ● Hack your ideas and processes ● Build something people really love ● Have right metric and growth equation ● Find out the risk: market risk or execution risk ● Ask the right questions to the right people ● Create a network: investors and experienced entrepreneurs who went through the same process
  • 19. Test your hypothesis ● Who has a problem (describe user or customer persona) ● What is the problem (simple sentence) ● And why is there a problem now? (Don’t think about the solution yet)
  • 20.