IdeaRank AI
Instant financial modeling & validation for startup ideas
5 followers
Instant financial modeling & validation for startup ideas
5 followers
Most AI validators just chat. IdeaRank AI does the math. We turn ideas into investor-ready financial models in 60 seconds. Get instant NPV, IRR, and Payback Period calculations plus a proprietary MOAT score to measure defensibility. Stop guessing; build with data-backed confidence.
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Framer AI AgentsDesign and publish professional sites with AI
Promoted
@benon_nyabuto The JSON output angle is smart. How does the system handle edge cases where data is incomplete or messy?
@masump Great question! The system handles it with a 3-layer safety net:
1. Strict Schema Enforcement (The Guardrails): the system has a strict JSON Structure with explicit rules. For example, e.g., competitorCount must be a single integer, not a range like '5-10'). If the input is messy, the strict schema forces the system to normalize it into a usable format before it ever hits our frontend.
2. Intelligent Gap-Filling (Contextual Imputation) Users rarely have all the data (like Churn Rate or CAC) when they just have a napkin idea. Instead of failing, the System fills these gaps using realistic market data.
Example: If a user doesn't provide a tax rate, the system automatically applies the corporate tax standard (~30%) rather than guessing or leaving it null.
3. Code-Level Sanitization (The Cleaner): there's a cleaning function in the backend that locates the first { and the last } in the response string. This strips out any text outside the JSON object before we attempt JSON.parse, ensuring the app doesn't crash.