Kill Vectors
Startup Kill Vectors: We Hunt for Reasons Your Idea Will Fail
42% of startups fail because they build something nobody wants. Our adversarial AI searches for the 9 specific failure modes that destroy new ventures — before you invest months building.
Find Your Kill VectorsWhy Startup Kill Vectors Matter
You can't see your own blind spots. The deeper you are in an idea, the harder it is to see its flaws.
The cognitive challenge
- Optimism bias — you systematically overestimate positive outcomes
- Confirmation bias — you seek information that supports what you already believe
- Planning fallacy — you underestimate costs, timelines, and obstacles
- Sunk cost escalation — the more you invest, the harder it is to see clearly
The evidence
42%
of startups fail due to "no market need" — CB Insights
65%
of founders had 2+ defunct predecessors they didn't know about
9 Categories
The 9 Startup Kill Vectors
Each category is a specific failure mode. Our adversarial agents hunt for evidence across all 9 — then rank what they find by severity.
Market Size Collapse
Is the TAM actually big enough?
"The golf trip planning market is 0.1% of travel. You need 40% share to hit $10M."
Existing Solution Sufficiency
Can spreadsheets + free tools solve 80% of this?
"Freelancers already use Notion + ChatGPT for proposals. What are you adding?"
Unit Economics Failure
Does the math actually work?
"Your CAC will be $200+ targeting homeowners who Google once when they buy."
Moat Vulnerabilities
Is your differentiator actually defensible?
"The voice/style system is fine-tuned GPT. Anyone can replicate in 6 months."
Timing Risk
Are you too early, too late, or mistimed?
"Three companies tried this in 2019-2021 and failed. What's changed?"
Regulatory Landmines
Are there compliance costs that kill the model?
"COPPA compliance for kids under 13 adds $50K+ in legal and 3 months to launch."
Platform Dependency
Are you building on someone else's land?
"If Google Calendar adds this feature, your entire value prop disappears."
Competitive Response
What happens when incumbents notice you?
"Microsoft already has the distribution. One feature addition and you're dead."
Graveyard Analysis
Why did similar ideas fail before?
"RoosterMoney, BusyKid, Homey all tried this. BusyKid has 2-star reviews and declining downloads."
How We Hunt for Startup Kill Vectors
This isn't one AI being negative. It's two agents with opposing mandates forcing each other to be rigorous.
Forensic Investigator
Researches competitors, market data, defunct predecessors. Hunts for evidence of each kill vector category.
Short-Seller
Attacks every finding. Finds gaps. Demands stronger evidence. Forces the Investigator to defend every claim.
They loop until convergence — when both agents agree on the evidence, the kill vectors are ranked by severity in your report.
“We don't just identify risks. We research the graveyard — finding what killed the companies that tried this before you.”
Startup Kill Vectors FAQs
Find the Kill Vectors Before They Find You
9 categories. Adversarial agents. Evidence-backed findings. $99.
Find Your Kill Vectors