Before
AI로 레스토랑 예약하는 앱
After
DAn AI-powered restaurant reservation platform starting with 5 premium restaurants in Gangnam that have chronic no-show problems. Focus on corporate lunch bookings for busy office workers, offering guaranteed reservations with AI-powered natural language booking and automatic no-show penalties to solve restaurant revenue loss.
Per-question score table
Who is this for, very specifically?
Needs a sharper customer, proof point, and next test.
What pain are they paying for today?
Needs a sharper customer, proof point, and next test.
Why now? What changed in the world?
Needs a sharper customer, proof point, and next test.
What's the V1 you can build in 4 weeks?
Needs a sharper customer, proof point, and next test.
How will you reach the first 100 users?
Needs a sharper customer, proof point, and next test.
What does success look like at month 6?
Needs a sharper customer, proof point, and next test.
Homework
Three concrete next steps before you run the next session.
- 1Interview 10 office workers this week: ask if they've ever been frustrated enough with current reservation systems to pay for a better one
- 2Call 5 Gangnam restaurants and ask about their biggest reservation problems and what they currently pay for booking platforms
- 3Research Naver reservations' no-show policies and identify specific gaps they don't address
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Your next step
Apply to YC
- 1.5% acceptance rate
- 3 to 6 months until the next batch
- One idea reviewed
- Weeks to hear back
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