KillgateEvidence before enthusiasm
Menu

Killgate / Guides

What these are

These are Killgate's labeled sample reports. They show report shape and tone for nine different business ideas; they are not a live verdict for your idea. Each locks a hypothesis before scoring evidence, then ends in a verdict with a confidence score.

How to read a verdict

What the nine samples have in common

Three samples passed, three pivoted, and three failed. In all nine, the report found the underlying problem credible. The verdicts turned on differentiation, price against alternatives, and unproven mechanisms, not on whether the pain existed.

THE NINE SAMPLES

Verdict and what drove it

RESEARCH_PASS · 0.78Fire sprinkler contractor

Requirements, fees, and submission practices differ by jurisdiction, which is a real and specific pain. Worth direct buyer validation.

RESEARCH_PIVOT · 0.88AI Gmail assistant

Buyers pay for email productivity, but Google and Superhuman already duplicate the $12/month offer. The unchanged idea should not proceed to build.

RESEARCH_FAIL · 0.87Collision repair SaaS

The problem is validated. The one differentiated mechanism, predicting supplement omissions before teardown, is unproven.

RESEARCH_PASS · 0.78Commercial cleaning

Pain and budget are real, but nearly every feature already exists. The thesis depends on a simpler, narrower, cheaper workflow being enough to switch.

RESEARCH_PIVOT · 0.88Contract renewal

The problem is credible, but the feature bundle sits too close to contract-management, CRM, and customer-success tools at a $750/month price.

RESEARCH_PASS · 0.78Dental no-show

The problem is real and practices already spend on it, but the category is competitive and parts of the workflow are commoditized.

RESEARCH_FAIL · 0.90Mood-to-dinner

The problem is real, but the selfie-to-mood differentiation does not clear the research gate.

RESEARCH_PIVOT · 0.91Restaurant scheduling

Scheduling is a real, funded problem, but the locked offer is not differentiated enough from existing products.

RESEARCH_FAIL · 0.91Vehicle audio diagnostics

Buyers spend on diagnosis, but identifying the failing component from 30 seconds of phone audio at 95% accuracy is not established.

RELATED GUIDES
NEXT STEP

Test your own idea against public evidence.