DecisionMind
Personal judgment improvement engine that learns your decision patterns
Biggest Risk
Users will abandon before the AI gets smart enough to deliver insights — you need 20+ decision/outcome pairs per pattern type to spot biases, but most people quit logging after 2 weeks when they only see basic prompting. Palantir's Foundry and similar enterprise decision platforms already capture executive decision patterns at scale with actual business outcomes.
Where It Shines
Personal decision history becomes irreplaceable moat — once someone has 200 logged decisions with outcomes, they'll never switch because their judgment improvement is locked in your system.
Where It's Exposed
Cold start problem is brutal — without existing decision history, you're just another journaling app with AI prompts that feel generic rather than personally insightful.
Competitors
Market Opportunity
~50K high-frequency decision makers willing to pay $200+/month (C-suite, VCs, serial entrepreneurs), roughly $120M addressable market
Score Breakdown
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