Install
openclaw skills install @duanc-chao/y-combinatorUnderstand Y Combinator's investment terms, batch process, core startup philosophy, global network benefits, and current focus on AI and B2B startups.
openclaw skills install @duanc-chao/y-combinatorTo understand the operational model, cultural philosophy, and strategic value of Y Combinator, enabling founders to effectively leverage its resources for startup acceleration and global networking.
Y Combinator is not merely a venture capital firm; it is a standardized "operating system" for startups. It functions as a batch-processed accelerator that provides seed capital, intense mentorship, and a powerful alumni network in exchange for equity. Its core philosophy prioritizes rapid iteration, user feedback, and "making something people want" over complex business planning.
| Phase | Duration | Key Activity | Success Metric |
|---|---|---|---|
| Application | Variable | Submitting the idea and team profile. | Receiving an interview invite. |
| Interview | 10 Minutes | Rapid-fire Q&A with Partners. | Receiving "The Call" (Acceptance). |
| The Batch | 3 Months | Product building, user acquisition, weekly dinners. | Week-over-week growth (e.g., +10% users). |
| Demo Day | 1 Day | Pitching to investors. | Securing follow-on funding (Series A). |
This conceptual code illustrates the decision-making logic of a YC partner evaluating a startup. It highlights the emphasis on "Founder/Market Fit" and "Growth."
def evaluate_yc_candidate(founder_experience, problem_severity, growth_rate, market_size):
"""
Simulates the logic of a YC Partner evaluating a startup application.
"""
print(f"--- Evaluating Candidate ---")
# 1. Check Founder/Market Fit
if founder_experience == "high" and problem_severity == "hair-on-fire":
print("Status: Strong Founder/Market Fit. The team understands the pain point.")
else:
print("Status: Risky. Do the founders actually understand the problem?")
return "Reject"
# 2. Check Market Size
if market_size < 1_000_000_000: # 1 Billion TAM (Total Addressable Market)
print("Warning: Market might be too small for VC returns.")
else:
print("Status: Massive Market Potential.")
# 3. Check Growth (The most important metric)
if growth_rate >= 10: # 10% week-over-week growth
print("Verdict: INVEST. The product is growing organically.")
return "Accept"
elif growth_rate > 0:
print("Verdict: Waitlist. Needs more traction.")
return "Waitlist"
else:
print("Verdict: Reject. No product-market fit yet.")
return "Reject"
# Example Usage
# A team of ex-Stripe engineers (high experience) building AI legal tools (severe problem)
# with 15% weekly growth in a billion dollar market.
result = evaluate_yc_candidate("high", "hair-on-fire", 15, 5_000_000_000)